diff --git a/.gitignore b/.gitignore index 59f34ae..ccdb58d 100644 --- a/.gitignore +++ b/.gitignore @@ -9,3 +9,7 @@ test_js* shapefile *.png *.pdf +data/ +*chloropleth_map.html +*.gif +denver/ diff --git a/deprecated/headway.ipynb b/deprecated/headway.ipynb new file mode 100644 index 0000000..92e9a52 --- /dev/null +++ b/deprecated/headway.ipynb @@ -0,0 +1,15211 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Overview\n", + "\n", + "The goal of this notebook is to gather data from the National Transit Database (NTD) and parse it into something usable for our transit carbon calculations. There are two datasets we need to import and parse, one being [NTD Annual Data - Fuel and Energy](https://data.transportation.gov/Public-Transit/2022-NTD-Annual-Data-Fuel-and-Energy/8ehq-7his/data) set, and the other being [NTD Service](https://www.transit.dot.gov/ntd/data-product/2022-service).\n", + "\n", + "#### To Maintain\n", + "\n", + "To update the data each year, update `urls` below with the most recent download links." + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "ntd_urls = {\n", + " 2022: {\n", + " # https://www.transit.dot.gov/ntd/data-product/2022-fuel-and-energy\n", + " \"fuel_energy_csv\": \"https://data.transportation.gov/api/views/8ehq-7his/rows.csv?date=20231027&accessType=DOWNLOAD&bom=true&format=true\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2022-service\n", + " \"service_csv\": \"https://data.transportation.gov/api/views/4fir-qbim/rows.csv?date=20231102&accessType=DOWNLOAD&bom=true&format=true\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2022-metrics\n", + " \"metrics_csv\": \"https://data.transportation.gov/api/views/ekg5-frzt/rows.csv?date=20231102&accessType=DOWNLOAD&bom=true&format=true\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2022-annual-database-fare-revenues\n", + " \"fare_revenue_csv\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2024-04/2022%20Fare%20Revenue.xlsx\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2022-annual-database-agency-information\n", + " \"agency_info_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2024-07/2022%20Agency%20Information_1-3_0.xlsx\",\n", + " },\n", + " 2021: {\n", + " # https://www.transit.dot.gov/ntd/data-product/2021-fuel-and-energy\n", + " \"fuel_energy_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2023-12/2021%20Fuel%20and%20Energy_1-1_0.xlsx\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2021-service\n", + " \"service_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2022-10/2021%20Service_static.xlsx\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2021-metrics\n", + " \"metrics_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2022-10/2021%20Metrics_static.xlsx\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2021-annual-database-fare-revenues\n", + " \"fare_revenue_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2022-10/2021%20Fare%20Revenue.xlsx\", \n", + " # https://www.transit.dot.gov/ntd/data-product/2021-annual-database-agency-information\n", + " \"agency_info_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2022-10/2021%20Agency%20Information.xlsx\",\n", + " },\n", + " 2020: {\n", + " # https://www.transit.dot.gov/ntd/data-product/2020-fuel-and-energy\n", + " \"fuel_energy_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2023-12/2020-Fuel%20and%20Energy_1-1_1.xlsx\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2020-service\n", + " \"service_zip\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2020-Service.zip\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2020-metrics\n", + " \"metrics_zip\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2020-Metrics.zip\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2020-annual-database-fare-revenues,\n", + " \"fare_revenue_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2021-11/2020%20Fare%20Revenue.xlsx\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2020-annual-database-agency-information\n", + " \"agency_info_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2021-11/2020%20Agency%20Information.xlsx\",\n", + " },\n", + " 2019: {\n", + " # https://www.transit.dot.gov/ntd/data-product/2019-fuel-and-energy\n", + " \"fuel_energy_zip\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/Fuel%20and%20Energy.zip\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2019-service\n", + " \"service_zip\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/Service.zip\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2019-metrics,\n", + " \"metrics_zip\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/Metrics.zip\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2019-annual-database-fare-revenues\n", + " \"fare_revenue_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2020-10/2019%20Fare%20Revenue.xlsx\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2019-annual-database-agency-information\n", + " \"agency_info_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2021-05/2019%20Agency%20Info.xlsx\",\n", + " },\n", + " 2018: {\n", + " # https://www.transit.dot.gov/ntd/data-product/2018-fuel-and-energy\n", + " \"fuel_energy_xlsm\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/Fuel%20and%20Energy_3.xlsm\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2018-service\n", + " \"service_xlsm\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/Service_4.xlsm\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2018-metrics\n", + " \"metrics_xlsm\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/Metrics_2.xlsm\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2018-annual-database-fare-revenue\n", + " \"fare_revenue_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2018%20Fare%20Revenue.xlsx\",\n", + " # https://www.transit.dot.gov/ntd/data-product/2018-annual-database-agency-information\n", + " \"agency_info_xlsx\": \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2018%20Agency%20Info_1.xlsx\",\n", + " }\n", + "}\n", + "\n", + "# XLSX detailing urbanized areas; establishes relationship UACE Codes and UZA codes (which were used by NTD pre-2022)\n", + "census_changes_xlsx = \"https://www.transit.dot.gov/sites/fta.dot.gov/files/2023-10/UZA_CHANGES_1990-2020_2_5.xlsx\"\n", + "\n", + "# CSV with relationship between ZCTA codes and UACE codes (from us_geo on GitHub)\n", + "zcta_urban_areas_urls = {\n", + " 2020: \"https://raw.githubusercontent.com/bdurand/us_geo/master/data/dist/zcta_urban_areas.csv\",\n", + " 2010: \"https://raw.githubusercontent.com/bdurand/us_geo/master/data/2020_dist/zcta_urban_areas.csv\"\n", + "}\n", + "# CSV with relationship between ZCTA codes and UZA codes (from acs-aggregate on GitHub)\n", + "zip_to_zcta_url = \"https://raw.githubusercontent.com/censusreporter/acs-aggregate/master/crosswalks/zip_to_zcta/zip_zcta_xref.csv\"" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/jfleisc1/Desktop/nrel/e-mission-common/src\n" + ] + } + ], + "source": [ + "# imports\n", + "\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import json\n", + "\n", + "from script_utils import is_up_to_date, load_dataframe\n", + "\n", + "# move to the 'src' directory so we can import from the 'emcommon' package\n", + "%cd ../src\n", + "import emcommon.metrics.footprint.util as emcmfu" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "uza_to_uace: {\"1\": \"63217\", \"2\": \"51445\", \"3\": \"16264\", \"4\": \"56602\", \"7\": \"40429\", \"6\": \"22042\", \"5\": \"69076\", \"8\": \"92242\", \"9\": \"03817\", \"10\": \"09271\", \"12\": \"69184\", \"11\": \"23824\", \"14\": \"80389\", \"13\": \"78904\", \"15\": \"78661\", \"16\": \"57628\", \"17\": \"86599\", \"18\": \"23527\", \"22\": \"75340\", \"19\": \"04843\", \"23\": \"47995\", \"20\": \"77770\", \"24\": \"71317\", \"26\": \"78580\", \"28\": \"77068\", \"32\": \"65863\", \"21\": \"79093\", \"29\": \"79039\", \"37\": \"04384\", \"27\": \"69697\", \"25\": \"17668\", \"33\": \"41212\", \"30\": \"16885\", \"31\": \"43912\", \"36\": \"19234\", \"34\": \"90892\", \"38\": \"15670\", \"35\": \"57466\", \"39\": \"72505\", \"40\": \"42346\", \"42\": \"78499\", \"44\": \"61273\", \"50\": \"73261\", \"45\": \"74746\", \"41\": \"56116\", \"51\": \"65080\", \"47\": \"37243\", \"43\": \"51755\", \"49\": \"62677\", \"46\": \"11350\", \"48\": \"10162\", \"52\": \"88732\", \"53\": \"27253\", \"54\": \"39889\", \"58\": \"65269\", \"57\": \"52390\", \"64\": \"09536\", \"55\": \"07786\", \"56\": \"01171\", \"62\": \"88948\", \"63\": \"31843\", \"60\": \"75664\", \"76\": \"15508\", \"59\": \"22528\", \"69\": \"57709\", \"73\": \"18856\", \"68\": \"05680\", \"61\": \"01495\", \"77\": \"64945\", \"70\": \"34300\", \"78\": \"13510\", \"74\": \"45640\", \"67\": \"00970\", \"75\": \"18964\", \"82\": \"72559\", \"79\": \"04681\", \"72\": \"62407\", \"85\": \"23743\", \"71\": \"00766\", \"66\": \"19504\", \"87\": \"87004\", \"84\": \"67105\", \"198\": \"52695\", \"83\": \"95077\", \"80\": \"87868\", \"86\": \"37081\", \"81\": \"97291\", \"88\": \"50392\", \"92\": \"53200\", \"96\": \"83764\", \"94\": \"74179\", \"65\": \"83926\", \"101\": \"71479\", \"108\": \"08785\", \"98\": \"04222\", \"104\": \"23500\", \"121\": \"08974\", \"95\": \"96670\", \"181\": \"69192\", \"117\": \"45451\", \"102\": \"85087\", \"90\": \"86302\", \"154\": \"87300\", \"109\": \"22612\", \"100\": \"15832\", \"110\": \"25228\", \"91\": \"47530\", \"113\": \"68482\", \"93\": \"35461\", \"103\": \"66673\", \"129\": \"29494\", \"128\": \"88462\", \"99\": \"80227\", \"111\": \"41347\", \"112\": \"67140\", \"105\": \"58006\", \"114\": \"90541\", \"107\": \"42211\", \"116\": \"20287\", \"120\": \"35164\", \"119\": \"31087\", \"132\": \"40780\", \"141\": \"30628\", \"137\": \"02683\", \"122\": \"29440\", \"115\": \"57925\", \"97\": \"97831\", \"118\": \"47719\", \"125\": \"02602\", \"131\": \"49582\", \"89\": \"71803\", \"144\": \"79768\", \"152\": \"05167\", \"106\": \"29872\", \"166\": \"60895\", \"123\": \"79498\", \"135\": \"13375\", \"150\": \"03904\", \"145\": \"49933\", \"126\": \"81739\", \"133\": \"03358\", \"134\": \"22366\", \"138\": \"83953\", \"136\": \"83116\", \"167\": \"19558\", \"146\": \"79309\", \"143\": \"46828\", \"127\": \"75718\", \"140\": \"73693\", \"155\": \"51877\", \"151\": \"28117\", \"156\": \"78229\", \"147\": \"19099\", \"130\": \"76474\", \"139\": \"68509\", \"163\": \"44992\", \"171\": \"44479\", \"161\": \"95833\", \"142\": \"58600\", \"179\": \"96697\", \"153\": \"86464\", \"157\": \"47854\", \"149\": \"02305\", \"160\": \"61165\", \"351\": \"50533\", \"158\": \"97750\", \"175\": \"35920\", \"124\": \"00631\", \"165\": \"02764\", \"148\": \"46045\", \"186\": \"61372\", \"180\": \"09946\", \"176\": \"34813\", \"295\": \"75745\", \"172\": \"75421\", \"164\": \"10972\", \"194\": \"29089\", \"169\": \"06290\", \"168\": \"87490\", \"187\": \"32167\", \"190\": \"23311\", \"195\": \"65242\", \"159\": \"28333\", \"197\": \"18748\", \"182\": \"01927\", \"177\": \"71263\", \"173\": \"43723\", \"184\": \"79282\", \"170\": \"38647\", \"208\": \"17317\", \"178\": \"40753\", \"199\": \"71060\", \"185\": \"92485\", \"191\": \"51364\", \"189\": \"36190\", \"192\": \"83548\", \"212\": \"82252\", \"193\": \"14752\", \"196\": \"91027\", \"602\": \"32491\", \"183\": \"27766\", \"211\": \"64567\", \"216\": \"60976\", \"188\": \"78310\", \"241\": \"60733\", \"200\": \"32653\", \"230\": \"31519\", \"203\": \"90028\", \"220\": \"90406\", \"205\": \"38215\", \"201\": \"22096\", \"213\": \"55981\", \"221\": \"84024\", \"204\": \"79336\", \"202\": \"38809\", \"231\": \"31600\", \"174\": \"64135\", \"207\": \"60841\", \"245\": \"32194\", \"209\": \"53740\", \"228\": \"46531\", \"229\": \"67305\", \"279\": \"87285\", \"162\": \"90946\", \"225\": \"55333\", \"258\": \"55603\", \"206\": \"83899\", \"223\": \"46018\", \"233\": \"89110\", \"210\": \"07732\", \"219\": \"61786\", \"252\": \"64864\", \"244\": \"48799\", \"240\": \"28657\", \"235\": \"56251\", \"217\": \"88084\", \"227\": \"26794\", \"224\": \"15211\", \"222\": \"06058\", \"262\": \"83332\", \"226\": \"40375\", \"261\": \"11728\", \"246\": \"79417\", \"249\": \"03763\", \"265\": \"57007\", \"255\": \"18937\", \"242\": \"91783\", \"214\": \"15481\", \"234\": \"52822\", \"250\": \"47935\", \"264\": \"34786\", \"251\": \"34273\", \"238\": \"98020\", \"239\": \"73153\", \"305\": \"77446\", \"243\": \"08407\", \"248\": \"97507\", \"247\": \"89326\", \"275\": \"06652\", \"273\": \"07705\", \"259\": \"43210\", \"254\": \"82144\", \"290\": \"41590\", \"256\": \"44506\", \"257\": \"30925\", \"270\": \"97939\", \"271\": \"52201\", \"232\": \"03034\", \"276\": \"80362\", \"280\": \"24580\", \"304\": \"18451\", \"288\": \"75637\", \"334\": \"88280\", \"274\": \"09298\", \"236\": \"72613\", \"267\": \"73774\", \"296\": \"63433\", \"266\": \"35380\", \"272\": \"58330\", \"260\": \"24850\", \"268\": \"89785\", \"237\": \"36892\", \"283\": \"91261\", \"370\": \"02420\", \"218\": \"70642\", \"282\": \"00280\", \"277\": \"43669\", \"285\": \"11755\", \"281\": \"77338\", \"215\": \"70993\", \"253\": \"77149\", \"303\": \"33328\", \"323\": \"87058\", \"278\": \"92593\", \"311\": \"50959\", \"327\": \"53794\", \"292\": \"82225\", \"269\": \"49096\", \"306\": \"16318\", \"294\": \"42400\", \"286\": \"08380\", \"302\": \"51256\", \"299\": \"39430\", \"344\": \"06868\", \"297\": \"26038\", \"321\": \"40996\", \"317\": \"15724\", \"314\": \"89866\", \"374\": \"04033\", \"320\": \"51175\", \"315\": \"78553\", \"298\": \"45910\", \"291\": \"45235\", \"349\": \"07921\", \"364\": \"09379\", \"263\": \"78985\", \"301\": \"95104\", \"355\": \"07472\", \"361\": \"46126\", \"329\": \"71506\", \"332\": \"48232\", \"326\": \"79363\", \"308\": \"56926\", \"341\": \"72112\", \"340\": \"48826\", \"399\": \"77230\", \"318\": \"82468\", \"284\": \"55738\", \"371\": \"95411\", \"325\": \"30061\", \"348\": \"57736\", \"312\": \"48394\", \"310\": \"90730\", \"347\": \"43399\", \"345\": \"54145\", \"313\": \"22717\", \"309\": \"00901\", \"352\": \"73396\", \"342\": \"61057\", \"322\": \"60625\", \"324\": \"42157\", \"335\": \"84493\", \"398\": \"96103\", \"337\": \"83980\", \"336\": \"71155\", \"362\": \"52984\", \"369\": \"61705\", \"357\": \"37594\", \"316\": \"87139\", \"384\": \"29818\", \"330\": \"02386\", \"343\": \"01765\", \"377\": \"16237\", \"300\": \"89083\", \"368\": \"29953\", \"365\": \"87193\", \"346\": \"01279\", \"360\": \"02629\", \"412\": \"93862\", \"307\": \"78364\", \"393\": \"59275\", \"375\": \"93025\", \"354\": \"77743\", \"382\": \"22420\", \"458\": \"28766\", \"367\": \"89974\", \"379\": \"26750\", \"391\": \"66484\", \"386\": \"12754\", \"376\": \"66160\", \"427\": \"79633\", \"363\": \"05707\", \"366\": \"48664\", \"359\": \"01792\", \"289\": \"26405\", \"388\": \"81118\", \"414\": \"17722\", \"420\": \"43345\", \"372\": \"54091\", \"413\": \"37162\", \"403\": \"50851\", \"385\": \"42265\", \"410\": \"36514\", \"402\": \"24472\", \"328\": \"08002\", \"331\": \"24607\", \"396\": \"42562\", \"395\": \"70426\", \"401\": \"08601\", \"425\": \"28549\", \"418\": \"56656\", \"419\": \"33598\", \"479\": \"79201\", \"397\": \"10351\", \"409\": \"24823\", \"394\": \"71074\", \"431\": \"51283\", \"380\": \"85708\", \"491\": \"11026\", \"378\": \"92890\", \"381\": \"49852\", \"339\": \"28981\", \"390\": \"05869\", \"440\": \"34219\", \"338\": \"22069\", \"423\": \"27261\", \"424\": \"14482\", \"422\": \"34759\", \"435\": \"60490\", \"436\": \"20422\", \"438\": \"81631\", \"333\": \"36703\", \"421\": \"19801\", \"449\": \"59410\", \"350\": \"43885\", \"445\": \"02062\", \"434\": \"90514\", \"428\": \"68887\", \"387\": \"05040\", \"356\": \"43453\", \"389\": \"84859\", \"404\": \"22960\", \"319\": \"97561\", \"406\": \"75988\", \"439\": \"80416\", \"432\": \"06760\", \"437\": \"45694\", \"411\": \"67672\", \"407\": \"27118\", \"470\": \"87787\", \"451\": \"49594\", \"459\": \"00955\", \"443\": \"07138\", \"454\": \"14158\", \"441\": \"04951\", \"400\": \"43291\", \"453\": \"56899\", \"465\": \"96994\", \"467\": \"19126\", \"446\": \"49339\", \"392\": \"22690\", \"469\": \"53848\", \"444\": \"76204\", \"456\": \"53983\", \"466\": \"40213\", \"473\": \"41914\", \"461\": \"84630\", \"476\": \"46747\", \"426\": \"32113\", \"463\": \"43615\", \"353\": \"94726\", \"430\": \"06139\", \"490\": \"58357\", \"447\": \"79147\", \"416\": \"36784\", \"373\": \"46801\", \"494\": \"34516\", \"478\": \"13537\", \"462\": \"95455\", \"415\": \"98182\", \"496\": \"34246\", \"483\": \"49312\", \"468\": \"30223\", \"442\": \"33814\", \"485\": \"51040\", \"480\": \"81901\", \"433\": \"51499\", \"486\": \"39133\", \"481\": \"14185\", \"450\": \"56980\", \"358\": \"35866\", \"455\": \"92674\", \"477\": \"29278\", \"497\": \"67812\", \"488\": \"14401\", \"482\": \"03196\", \"460\": \"37945\", \"452\": \"42967\", \"448\": \"69778\", \"457\": \"45262\", \"493\": \"15184\", \"464\": \"91405\"}\n" + ] + } + ], + "source": [ + "# create UZA to UACE mapping using the NTD's census_changes_xlsx\n", + "\n", + "census_changes_df = pd.read_excel(census_changes_xlsx)\n", + "census_changes_df = census_changes_df[[\"2010 NTD UZA Code (Deprecated)\", \"2020 UACE\"]].dropna().astype(int)\n", + "# pad to 5 digits\n", + "census_changes_df['2020 UACE'] = census_changes_df['2020 UACE'].apply(lambda x: str(x).zfill(5))\n", + "uza_to_uace = census_changes_df.set_index(\"2010 NTD UZA Code (Deprecated)\")[\"2020 UACE\"].to_dict()\n", + "print(\"uza_to_uace: \" + json.dumps(uza_to_uace))" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "ntd_fuel_types = {\n", + " \"Gasoline\": {\"given_unit\": \"gal\", \"kwh_per_unit\": emcmfu.KWH_PER_GAL_GASOLINE, \"alias\": \"Gasoline\"},\n", + " \"Diesel\": {\"given_unit\": \"gal\", \"kwh_per_unit\": emcmfu.KWH_PER_GAL_DIESEL, \"alias\": \"Diesel\"},\n", + " \"Bio-Diesel\": {\"given_unit\": \"gal\", \"kwh_per_unit\": emcmfu.KWH_PER_GAL_BIODIESEL, \"alias\": \"Diesel\"},\n", + " \"Liquefied Petroleum Gas\": {\"given_unit\": \"gal equivalent\", \"kwh_per_unit\": emcmfu.KWH_PER_GAL_LPG, \"alias\": \"LPG\"},\n", + " \"Compressed Natural Gas\": {\"given_unit\": \"gal equivalent\", \"kwh_per_unit\": emcmfu.KWH_PER_GAL_CNG, \"alias\": \"CNG\"},\n", + " \"Hydrogen\": {\"given_unit\": \"kg\", \"kwh_per_unit\": emcmfu.KWH_PER_KG_HYDROGEN, \"alias\": \"Hydrogen\"},\n", + " \"Electric Propulsion\": {\"given_unit\": \"kWh\", \"kwh_per_unit\": 1, \"alias\": \"Electric\"},\n", + " \"Electric Battery\": {\"given_unit\": \"kWh\", \"kwh_per_unit\": 1, \"alias\": \"Electric\"},\n", + " \"Other Fuel\": {\"given_unit\": \"gal/gal equivalent\", \"kwh_per_unit\": emcmfu.KWH_PER_GAL_OTHER, \"alias\": \"Other\"}\n", + "}\n", + "fuel_types = ['Gasoline', 'Diesel', 'LPG', 'CNG', 'Hydrogen', 'Electric', 'Other']\n", + "fuel_types_all = fuel_types + ['All Fuels']\n", + "\n", + "def agg_by_ntd_id_and_mode(df):\n", + " # remove commas, convert to numeric, and sort\n", + " df = df.replace({',': ''}, regex=True)\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n", + " df = df.sort_values(by=['NTD ID', 'Mode'])\n", + " # sum rows with the same NTD ID and Mode\n", + " df = df.groupby(['NTD ID', 'Mode'], as_index=False).sum()\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "def make_fuel_energy_df(y):\n", + " df = load_dataframe(ntd_urls[y], 'fuel_energy', 'Fuel and Energy')\n", + " col_renames = {\n", + " # kwh -> kWh\n", + " 'Electric Propulsion (kwh)': 'Electric Propulsion (kWh)',\n", + " 'Electric Battery (kwh)': 'Electric Battery (kWh)',\n", + " # require renames as older years did not include (miles) in the column name\n", + " 'Diesel': 'Diesel (miles)',\n", + " 'Gasoline': 'Gasoline (miles)',\n", + " 'Liquefied Petroleum Gas': 'Liquefied Petroleum Gas (miles)',\n", + " 'Compressed Natural Gas': 'Compressed Natural Gas (miles)',\n", + " # 'Bio-Diesel': 'Bio-Diesel (miles)',\n", + " 'Hydrogen': 'Hydrogen (miles)',\n", + " 'Other Fuel': 'Other Fuel (miles)',\n", + " 'Electric Propulsion': 'Electric Propulsion (miles)',\n", + " 'Electric Battery': 'Electric Battery (miles)',\n", + " }\n", + " df = df.rename(columns=col_renames)\n", + "\n", + " if 'UACE Code' not in df.columns:\n", + " agency_info_df = load_dataframe(ntd_urls[y], 'agency_info')[['NTD ID', 'Primary UZA']]\n", + " agency_info_df['UACE Code'] = agency_info_df['Primary UZA'].map(uza_to_uace)\n", + " ntd_id_uace_map = agency_info_df.set_index('NTD ID')['UACE Code'].to_dict()\n", + " else:\n", + " ntd_id_uace_map = df.set_index('NTD ID')['UACE Code'].to_dict()\n", + "\n", + " df = agg_by_ntd_id_and_mode(df)\n", + "\n", + " df['UACE Code'] = df['NTD ID'].map(ntd_id_uace_map)\n", + " print(f\"dropping {len(df[df['UACE Code'].isna()])} rows with missing UACE Code\")\n", + " df = df.dropna(subset=['UACE Code'])\n", + " df['UACE Code'] = df['UACE Code'].apply(lambda x: str(x).zfill(5))\n", + "\n", + " # for all fuel types, convert to km\n", + " for fuel in ntd_fuel_types:\n", + " old_col_name = fuel + ' (miles)'\n", + " new_col_name = ntd_fuel_types[fuel]['alias'] + ' (km)'\n", + " if new_col_name in df.columns and old_col_name in df.columns:\n", + " df[new_col_name] += df[old_col_name] / emcmfu.MI_PER_KM\n", + " elif old_col_name in df.columns:\n", + " df[new_col_name] = df[old_col_name] / emcmfu.MI_PER_KM\n", + " elif new_col_name not in df.columns:\n", + " df[new_col_name] = 0\n", + "\n", + " # for all fuel types, convert to kWh\n", + " def get_old_col_name(fuel_type): return fuel_type + ' (' + ntd_fuel_types[fuel_type]['given_unit'] + ')'\n", + " for fuel in ntd_fuel_types:\n", + " old_col_name = get_old_col_name(fuel)\n", + " new_col_name = ntd_fuel_types[fuel]['alias'] + ' (kWh)'\n", + "\n", + " if new_col_name in df.columns and old_col_name in df.columns:\n", + " df[new_col_name] += df[old_col_name] * ntd_fuel_types[fuel]['kwh_per_unit']\n", + " elif old_col_name in df.columns:\n", + " df[new_col_name] = df[old_col_name] * ntd_fuel_types[fuel]['kwh_per_unit']\n", + " elif new_col_name not in df.columns:\n", + " df[new_col_name] = 0\n", + "\n", + " # any rows where km is present but kWh is not, or vice versa, fill with 0\n", + " for fuel in fuel_types:\n", + " df[df[fuel + ' (km)'].notna()].where(df[fuel + ' (kWh)'].isna(), 0, inplace=True)\n", + " df[df[fuel + ' (kWh)'].notna()].where(df[fuel + ' (km)'].isna(), 0, inplace=True)\n", + "\n", + " df['All Fuels (kWh)'] = sum([df[f + ' (kWh)'].fillna(0) for f in fuel_types])\n", + " df['All Fuels (km)'] = sum([df[f + ' (km)'].fillna(0) for f in fuel_types])\n", + " df = df[df['All Fuels (km)'] != 0]\n", + " for fuel in fuel_types_all:\n", + " df[f\"{fuel} (%)\"] = df[f\"{fuel} (km)\"] / df['All Fuels (km)'] * 100\n", + "\n", + " # now add a wh/km column for each fuel type\n", + " for fuel in fuel_types_all:\n", + " if f\"{fuel} (km)\" not in df.columns: continue\n", + " df[f\"{fuel} (Wh/km)\"] = (df[f\"{fuel} (kWh)\"] * 1000 / df[f\"{fuel} (km)\"])\n", + " # fill missing values with 0\n", + " df[f\"{fuel} (Wh/km)\"] = df[f\"{fuel} (Wh/km)\"].fillna(0)\n", + " # replace infinite values with 0\n", + " df[f\"{fuel} (Wh/km)\"] = df[f\"{fuel} (Wh/km)\"].replace([float('inf'), float('-inf')], 0)\n", + "\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "def make_service_df(y):\n", + " df = load_dataframe(ntd_urls[y], 'service', 'Annual Service Data By Mode')\n", + " col_renames = {\n", + " 'Passenger Miles Traveled': 'Passenger Miles',\n", + " 'Unlinked Passenger Trips (UPT)': 'Unlinked Passenger Trips',\n", + " 'Actual Vehicle/Passenger Car Miles': 'Vehicle Miles',\n", + " }\n", + " df = df.rename(columns=col_renames)\n", + " df = agg_by_ntd_id_and_mode(df)\n", + "\n", + " # convert miles columns to km\n", + " miles_cols = ['Vehicle Miles', 'Train Miles', 'Passenger Miles']\n", + " for col in miles_cols:\n", + " if col in df.columns:\n", + " new_col_name = col.replace('Miles', 'km')\n", + " df[new_col_name] = df[col] / emcmfu.MI_PER_KM\n", + " df = df.drop(columns=[col for col in miles_cols if col in df.columns])\n", + "\n", + " # remove rows that have \"Passenger km\" = 0 or \"Vehicle km\" = 0\n", + " if 'Passenger km' in df.columns and 'Vehicle km' in df.columns:\n", + " df = df[(df['Passenger km'] != 0) & (df['Vehicle km'] != 0)]\n", + "\n", + " # For \"Average Passengers\", we want the passenger load on the engine\n", + " # For rail modes, this is 'Train km'\n", + " # For non-rail modes, this is 'Vehicle km' ('Train km' will be 0)\n", + " # The average number of passengers is 'Passenger km' / ('Train km' || 'Vehicle km')\n", + " if 'Train km' in df.columns and 'Vehicle km' in df.columns:\n", + " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n", + " df['Average Passengers'] = df['Passenger km'] / engine_km\n", + "\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "# merge the dataframes\n", + "\n", + "def make_merged_ntd_df(y):\n", + " # add another df that gets merged\n", + " # such as a fare df\n", + "\n", + " fuel_energy_df = make_fuel_energy_df(y)\n", + " service_df = make_service_df(y)\n", + " df = fuel_energy_df.merge(service_df, on=['NTD ID', 'Mode'], suffixes=('', '_service'))\n", + "\n", + " # convert (Wh/km) columns to (Wh/pkm) columns\n", + " if 'Average Passengers' in df.columns:\n", + " for f in fuel_types_all:\n", + " wh_per_km_col = f\"{f} (Wh/km)\"\n", + " wh_per_pkm_col = f\"{f} (Wh/pkm)\"\n", + " if wh_per_km_col in df.columns:\n", + " df[wh_per_pkm_col] = df[wh_per_km_col] / df['Average Passengers']\n", + "\n", + " # only keep relevant columns\n", + " relevant_columns = ['NTD ID', 'Mode', 'UACE Code'] \\\n", + " + [f + ' (%)' for f in fuel_types_all] \\\n", + " + [f + ' (Wh/pkm)' for f in fuel_types_all] \\\n", + " + ['Unlinked Passenger Trips']\n", + "\n", + " # Filter out columns that do not exist in the DataFrame\n", + " relevant_columns = [col for col in relevant_columns if col in df.columns]\n", + "\n", + " df = df[relevant_columns]\n", + "\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_whpkm_hists(df, title):\n", + " modes = df['Mode'].unique()\n", + " _, axs = plt.subplots(1, 2, figsize=(15, 5))\n", + " for mode in modes:\n", + " values = []\n", + " for fuel_type in fuel_types_all:\n", + " values.extend(df[df['Mode'] == mode][fuel_type + ' (Wh/pkm)'].dropna())\n", + " axs[0].hist(values, bins=50, alpha=0.5, label=mode, log=True)\n", + " print(f\"{mode} desc: {pd.Series(values).astype(float).describe()}\")\n", + "\n", + " axs[0].set_xlabel('Wh/pkm')\n", + " axs[0].set_ylabel('Frequency')\n", + " axs[0].set_title(title + ', by mode')\n", + " axs[0].legend()\n", + "\n", + " for fuel_type in fuel_types_all:\n", + " axs[1].hist(df[fuel_type + ' (Wh/pkm)'].dropna(), bins=50, alpha=0.5, label=fuel_type, log=True)\n", + " print(f\"{fuel_type} desc: {df[fuel_type + ' (Wh/pkm)'].dropna().astype(float).describe()}\")\n", + " axs[1].set_xlabel('Wh/pkm')\n", + " axs[1].set_ylabel('Frequency')\n", + " axs[1].set_title(title + ', by fuel type')\n", + " axs[1].legend()\n", + " plt.show()\n", + "\n", + "def remove_outliers(df):\n", + " print(\"Removing outliers\")\n", + " modes = df['Mode'].unique()\n", + " bounds = {}\n", + " for mode in modes:\n", + " if 'All Fuels (Wh/pkm)' in df.columns:\n", + " q1 = df[df['Mode'] == mode]['All Fuels (Wh/pkm)'].quantile(0.25)\n", + " q3 = df[df['Mode'] == mode]['All Fuels (Wh/pkm)'].quantile(0.75)\n", + " iqr = q3 - q1\n", + " bounds[mode] = (q1 - 1.5 * iqr, q3 + 1.5 * iqr)\n", + "\n", + " df = df.replace(0, pd.NA)\n", + " for fuel_type in fuel_types_all:\n", + " column_name = fuel_type + ' (Wh/pkm)'\n", + " if column_name in df.columns:\n", + " # find rows where Wh/pkm is less than bounds[df['Mode']] or greater than bounds[df['Mode']]\n", + " outliers = df[(df[column_name] < df['Mode'].apply(lambda x: bounds[x][0])) | \\\n", + " (df[column_name] > df['Mode'].apply(lambda x: bounds[x][1]))].index\n", + " for outlier in outliers:\n", + " o = df.loc[outlier]\n", + " print(f\"Removing {o['Mode']} outlier: expected {bounds[o['Mode']]}, got {o.to_dict()}\")\n", + " df.at[outlier, column_name] = pd.NA\n", + " percentage_column = fuel_type + ' (%)'\n", + " if percentage_column in df.columns:\n", + " df.at[outlier, percentage_column] = pd.NA\n", + " if 'Gasoline (Wh/pkm)' in df.columns:\n", + " plot_whpkm_hists(df, 'Distribution of Wh/pkm after removing outliers')\n", + "\n", + " return df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Make the dfs for each year and ouput `.json` files in `emcommon/metrics/footprint/ntd_data/`" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "../src/emcommon/resources/ntd2022_intensities.json exists but URLs have changed, will recreate\n", + "2022\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dropping 0 rows with missing UACE Code\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Removing outliers\n", + "../src/emcommon/resources/ntd2021_intensities.json exists but URLs have changed, will recreate\n", + "2021\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dropping 12 rows with missing UACE Code\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/2497400976.py:28: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Removing outliers\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 7, 'Mode': 'VP', 'UACE Code': '28117', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 836.3380482652224, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 836.3380482652224, 'Unlinked Passenger Trips': 2726}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 43, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': 62.0204272879202, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 37.97957271207979, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7913.550881359075, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4908.018070265873, 'Unlinked Passenger Trips': 56234}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 57, 'Mode': 'MB', 'UACE Code': '06868', 'Gasoline (%)': 0.0002616041040451842, 'Diesel (%)': 99.99973839589596, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 121458988.65255831, 'Diesel (Wh/pkm)': 1357.266467712866, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1675.004616094951, 'Unlinked Passenger Trips': 209978}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10007, 'Mode': 'DR', 'UACE Code': '69778', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8595.261769753632, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8595.261769753632, 'Unlinked Passenger Trips': 15044}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': 95.31140657802659, 'Diesel (%)': 4.688593421973407, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 189048.27139103858, 'Diesel (Wh/pkm)': 260438.16536380825, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 10087, 'Mode': 'MB', 'UACE Code': '61165', 'Gasoline (%)': 0.00234408130126346, 'Diesel (%)': 23.984213677927492, 'LPG (%)': None, 'CNG (%)': 76.01344224077124, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 191324.84513823007, 'Diesel (Wh/pkm)': 1433.188447437779, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 603.2318578422738, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 806.761089399273, 'Unlinked Passenger Trips': 219161}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 14.46521191595933, 'Diesel (%)': 85.53478808404067, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6554.885676697948, 'Diesel (Wh/pkm)': 1868.6327913209168, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2546.5092021084633, 'Unlinked Passenger Trips': 67325}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11436.274145783691, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11436.274145783691, 'Unlinked Passenger Trips': 110219}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20178, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16668.869859010247, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16668.869859010247, 'Unlinked Passenger Trips': 5594}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': 16.29665690083998, 'Diesel (%)': 83.70334309916002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8151.393980132034, 'Diesel (Wh/pkm)': 6399.8673851514495, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30070, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7422.582204170158, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7422.582204170158, 'Unlinked Passenger Trips': 1248}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40006, 'Mode': 'VP', 'UACE Code': '95833', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1164.2454797388434, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1164.2454797388434, 'Unlinked Passenger Trips': 1106}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40009, 'Mode': 'DR', 'UACE Code': '29440', 'Gasoline (%)': 15.403969871105108, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 84.5960301288949, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16596.190742809, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3864.9402772274784, 'Unlinked Passenger Trips': 49187}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40021, 'Mode': 'DR', 'UACE Code': '00901', 'Gasoline (%)': 0.5882863888691476, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.41171361113085, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21631.134601381116, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 898.0664822136621, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1020.0362999536928, 'Unlinked Passenger Trips': 16537}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40028, 'Mode': 'DR', 'UACE Code': '13510', 'Gasoline (%)': 34.35615128141061, 'Diesel (%)': 12.494821430010719, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 53.149027288578665, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9784.879544027819, 'Diesel (Wh/pkm)': 2125.3802618472428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4661.751310739866, 'Unlinked Passenger Trips': 134348}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40029, 'Mode': 'DR', 'UACE Code': '56602', 'Gasoline (%)': 24.034928648027748, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 75.96507135197226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9170.609862195746, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4213.672412856042, 'Unlinked Passenger Trips': 580964}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40036, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 28.69667161018985, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.30332838981015, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9409.598085417954, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 960.6158481811677, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3385.1925352042804, 'Unlinked Passenger Trips': 87964}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5067.874772314812, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5067.874772314812, 'Unlinked Passenger Trips': 1734}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': 41.89074063114606, 'Diesel (%)': 58.10925936885394, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5911.141323219672, 'Diesel (Wh/pkm)': 3484.492057801564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4501.033407605474, 'Unlinked Passenger Trips': 308600}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8068.285769659408, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8068.285769659408, 'Unlinked Passenger Trips': 7467}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40063, 'Mode': 'VP', 'UACE Code': '67105', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2553.5170614583517, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2553.5170614583517, 'Unlinked Passenger Trips': 30052}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7471.373991802114, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7471.373991802114, 'Unlinked Passenger Trips': 15887}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 86.56007454084377, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 13.439925459156226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 20022.36788572211, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17454.672412432035, 'Unlinked Passenger Trips': 83982}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.97202555689863, 'Diesel (%)': 0.027974443101364183, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13768.823941973898, 'Diesel (Wh/pkm)': 20343.135928937892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41199, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': 65.41494911897959, 'Diesel (%)': 34.5850508810204, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11840.53567972328, 'Diesel (Wh/pkm)': 4569.2552483880345, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9325.759642844307, 'Unlinked Passenger Trips': 59456}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 44929, 'Mode': 'MB', 'UACE Code': '56602', 'Gasoline (%)': 46.623813528775685, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 53.376186471224315, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4511.669268555804, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2242.5148781768635, 'Unlinked Passenger Trips': 99092}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50010, 'Mode': 'DR', 'UACE Code': '00766', 'Gasoline (%)': 6.287219422812644, 'Diesel (%)': 91.38551243399489, 'LPG (%)': None, 'CNG (%)': 2.3272681431924633, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15971.3847205078, 'Diesel (Wh/pkm)': 4450.281412960737, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 23783.646107353172, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5624.57769537496, 'Unlinked Passenger Trips': 174873}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50031, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.3124277854218799, 'Diesel (%)': 9.285041116015396, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 90.40253109856272, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9369.198352334271, 'Diesel (Wh/pkm)': 6543.6312898300475, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5635.143135106239, 'Unlinked Passenger Trips': 249229}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 57.19733249787405, 'Diesel (%)': 42.80266750212595, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12661.356526473113, 'Diesel (Wh/pkm)': 11236.222378581637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': 96.4034031732291, 'Diesel (%)': 3.5965968267709076, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4763.65985390647, 'Diesel (Wh/pkm)': 7714.753833697827, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10809.66733057336, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17248.059467567862, 'Unlinked Passenger Trips': 77841}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60056, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 28.28279863153344, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.71720136846656, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 50353.49488610126, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1445.704394741245, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15278.196294544858, 'Unlinked Passenger Trips': 580173}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60059, 'Mode': 'MB', 'UACE Code': '18748', 'Gasoline (%)': 32.807373129953774, 'Diesel (%)': 67.19262687004623, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5220.548426271043, 'Diesel (Wh/pkm)': 2966.2250087166913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3705.809303869673, 'Unlinked Passenger Trips': 218940}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60077, 'Mode': 'DR', 'UACE Code': '79363', 'Gasoline (%)': 17.64705882352941, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 82.35294117647058, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12710.269196950767, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 5534.7869339239105, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6801.048509752178, 'Unlinked Passenger Trips': 21615}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60090, 'Mode': 'MB', 'UACE Code': '52390', 'Gasoline (%)': 31.761438292833276, 'Diesel (%)': 68.23856170716672, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4798.5744653011625, 'Diesel (Wh/pkm)': 2746.6762995038566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3398.388669265346, 'Unlinked Passenger Trips': 206013}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8363.251851630801, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8363.251851630801, 'Unlinked Passenger Trips': 30740}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 70002, 'Mode': 'DR', 'UACE Code': '65269', 'Gasoline (%)': 8.562516278161219, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 91.43748372183877, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 41173.81158656464, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 325.8549411642591, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3823.467878222905, 'Unlinked Passenger Trips': 70753}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80004, 'Mode': 'MB', 'UACE Code': '07705', 'Gasoline (%)': 0.45913682277318646, 'Diesel (%)': 99.54086317722681, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 53035.611506997586, 'Diesel (Wh/pkm)': 2742.5137751010757, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2973.4279061015186, 'Unlinked Passenger Trips': 284306}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90016, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14589.398372779393, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14589.398372779393, 'Unlinked Passenger Trips': 10520}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 66.35528850743975, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 29.043653430671146, 'Hydrogen (%)': None, 'Electric (%)': 4.601058061889097, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11238.450373122534, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 459.00266033894036, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 489.5896626018393, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7613.143615398616, 'Unlinked Passenger Trips': 305377}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': 64.06421876562514, 'Diesel (%)': 35.93578123437486, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8253.986197750724, 'Diesel (Wh/pkm)': 6367.668942454718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7576.123355501287, 'Unlinked Passenger Trips': 20370}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 670.4904678381371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 670.4904678381371, 'Unlinked Passenger Trips': 16028}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': 89.89059687023956, 'Diesel (%)': 10.10940312976042, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15128.021524181726, 'Diesel (Wh/pkm)': 379807.47686567326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90136, 'Mode': 'DR', 'UACE Code': '69184', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12585.825606792961, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12585.825606792961, 'Unlinked Passenger Trips': 274826}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90148, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': 1.566973222272145, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 90.83970411209418, 'Hydrogen (%)': None, 'Electric (%)': 7.593322665633679, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21531.88752926179, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1432.3600010707942, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1311.9734280832358, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1738.1728743077217, 'Unlinked Passenger Trips': 563382}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90156, 'Mode': 'MB', 'UACE Code': '79147', 'Gasoline (%)': 0.03153086616141531, 'Diesel (%)': 99.9684691338386, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 124323.10376248149, 'Diesel (Wh/pkm)': 3327.9673056046868, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3366.118120142726, 'Unlinked Passenger Trips': 179456}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90171, 'Mode': 'DR', 'UACE Code': '79309', 'Gasoline (%)': 17.774895865292134, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 82.22510413470788, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9836.353019011784, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1120.1901265014997, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2669.479004094437, 'Unlinked Passenger Trips': 48952}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90173, 'Mode': 'MB', 'UACE Code': '56251', 'Gasoline (%)': 17.425753792737854, 'Diesel (%)': 82.57424620726215, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5570.111726888008, 'Diesel (Wh/pkm)': 3431.0687659533223, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3803.813125846691, 'Unlinked Passenger Trips': 333190}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 99424, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7979.11424776664, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.11424776664, 'Unlinked Passenger Trips': 29368}\n", + "Removing YR outlier: expected (np.float64(-67.48704915204291), np.float64(1862.028552893858)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2757.9456068279883, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2757.9456068279883, 'Unlinked Passenger Trips': 84742}\n", + "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 10003, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 24.9362162074414, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8027450704530215, 'Other (%)': 71.26103872210558, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3471.768558777796, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13176.098254474178, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1366.781140888867, 'Unlinked Passenger Trips': 4780593}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10061, 'Mode': 'DR', 'UACE Code': '49096', 'Gasoline (%)': 99.95742947556643, 'Diesel (%)': 0.04257052443356939, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1224.6384461151206, 'Diesel (Wh/pkm)': 29395.899944042703, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1236.6310998743406, 'Unlinked Passenger Trips': 294329}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': None, 'Diesel (%)': 4.688593421973407, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 260438.16536380825, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10098, 'Mode': 'CB', 'UACE Code': '49339', 'Gasoline (%)': 70.60378262627472, 'Diesel (%)': 29.39621737372527, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1080.1846016044428, 'Diesel (Wh/pkm)': 5085.148780410839, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2257.492577346203, 'Unlinked Passenger Trips': 8223}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21565.187394484765, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21565.187394484765, 'Unlinked Passenger Trips': 15651}\n", + "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7305.596795588676, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7305.596795588676, 'Unlinked Passenger Trips': 70611}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5290.150238485294, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5290.150238485294, 'Unlinked Passenger Trips': 74563}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12318.755341071888, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12318.755341071888, 'Unlinked Passenger Trips': 90178}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20113, 'Mode': 'DR', 'UACE Code': '75664', 'Gasoline (%)': 99.49430651345422, 'Diesel (%)': 0.505693486545781, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5845.684019614051, 'Diesel (Wh/pkm)': 7746.581741822263, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5855.296735581155, 'Unlinked Passenger Trips': 121505}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': 83.70334309916002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6399.8673851514495, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30013, 'Mode': 'DR', 'UACE Code': '27766', 'Gasoline (%)': 98.88738349737294, 'Diesel (%)': 1.112616502627054, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3105.410980064051, 'Diesel (Wh/pkm)': 8142.06869596124, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.4496649919615, 'Unlinked Passenger Trips': 107820}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30015, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': 56.015721913596884, 'LPG (%)': None, 'CNG (%)': 43.98427808640311, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4482.79633765551, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 620.2326073732524, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2783.8755652636164, 'Unlinked Passenger Trips': 746504}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30027, 'Mode': 'CB', 'UACE Code': '97750', 'Gasoline (%)': 82.9386899696655, 'Diesel (%)': 14.117337330512408, 'LPG (%)': None, 'CNG (%)': 2.9439726998220874, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10.700765402507031, 'Diesel (Wh/pkm)': 6695.910914619347, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2004.1027458156293, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1013.1596435221752, 'Unlinked Passenger Trips': 13630}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30034, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6846.071487656069, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6846.071487656069, 'Unlinked Passenger Trips': 434474}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30044, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': 30.50364354156897, 'LPG (%)': None, 'CNG (%)': 69.49635645843104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18026.294561906096, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3512.3033321054045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7939.59948049839, 'Unlinked Passenger Trips': 113076}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30048, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 98.01190485857906, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.9880951414209498, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4995.611910213415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3583.6203895748868, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5370.731774424588, 'Unlinked Passenger Trips': 269010}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30070, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9487.029795229942, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9487.029795229942, 'Unlinked Passenger Trips': 414287}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30091, 'Mode': 'MB', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 98.82343723607977, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.1765627639202343, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4948.369025780118, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 804.4877882197934, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4941.426018377204, 'Unlinked Passenger Trips': 786997}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 86.91607111730869, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.083928882691302, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6342.638191999525, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3371.3874973571164, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5953.88186418604, 'Unlinked Passenger Trips': 1171986}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40003, 'Mode': 'DR', 'UACE Code': '56116', 'Gasoline (%)': 92.53939661445597, 'Diesel (%)': 7.4606033855440375, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1165.4533135989318, 'Diesel (Wh/pkm)': 33486.644992039575, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3576.809234208851, 'Unlinked Passenger Trips': 112626}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40128, 'Mode': 'DR', 'UACE Code': '61372', 'Gasoline (%)': 99.97210936996196, 'Diesel (%)': 0.02789063003804733, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3579.0828890162593, 'Diesel (Wh/pkm)': 9456.000287412198, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3580.7219983054874, 'Unlinked Passenger Trips': 40860}\n", + "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6166.262066005301, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6166.262066005301, 'Unlinked Passenger Trips': 34859}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5287.577858014632, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5287.577858014632, 'Unlinked Passenger Trips': 63422}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': None, 'Diesel (%)': 0.027974443101364183, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 20343.135928937892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50034, 'Mode': 'DR', 'UACE Code': '42157', 'Gasoline (%)': 97.48556230067355, 'Diesel (%)': 2.514437699326446, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3768.070119945377, 'Diesel (Wh/pkm)': 7500.189710222971, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3861.9119419072645, 'Unlinked Passenger Trips': 25821}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9294.426454026227, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9815.785139070314, 'Unlinked Passenger Trips': 424632}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 42.80266750212595, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 11236.222378581637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50163, 'Mode': 'DR', 'UACE Code': '61705', 'Gasoline (%)': 99.99172713478022, 'Diesel (%)': 0.00827286521978608, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3443.9145085189757, 'Diesel (Wh/pkm)': 25786.018726307066, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3445.7628406881777, 'Unlinked Passenger Trips': 60812}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 3.5965968267709076, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7714.753833697827, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': 15.249880882270247, 'Diesel (%)': 84.75011911772974, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3554.883268558839, 'Diesel (Wh/pkm)': 5873.350050973092, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5519.786628359914, 'Unlinked Passenger Trips': 290718}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 99.99777586349961, 'Diesel (%)': 0.0022241365003896514, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1084.4647026235302, 'Diesel (Wh/pkm)': 29041914.89303167, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1730.3724121962607, 'Unlinked Passenger Trips': 52057}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50209, 'Mode': 'MB', 'UACE Code': '41212', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13876.975306563156, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13876.975306563156, 'Unlinked Passenger Trips': 21864}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50515, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 12.44866471103661, 'Diesel (%)': 87.5513352889634, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4083.2033512568837, 'Diesel (Wh/pkm)': 5438.4580818167815, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5269.746964428917, 'Unlinked Passenger Trips': 255704}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 1.439848297759746, 'Diesel (%)': 98.56015170224026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.0497435432371, 'Diesel (Wh/pkm)': 7737.19377603069, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7642.320097841982, 'Unlinked Passenger Trips': 116814}\n", + "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4372.042646800286, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4372.042646800286, 'Unlinked Passenger Trips': 231412}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60009, 'Mode': 'DR', 'UACE Code': '47854', 'Gasoline (%)': 97.09323808350781, 'Diesel (%)': 2.906761916492179, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5580.5540888558135, 'Diesel (Wh/pkm)': 8996.769349476335, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5679.855333036924, 'Unlinked Passenger Trips': 22874}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 75.81029022280667, 'LPG (%)': None, 'CNG (%)': 24.189709777193343, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8512.530627569853, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1694.3520692291963, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6863.233022216424, 'Unlinked Passenger Trips': 19379}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60088, 'Mode': 'MB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6574.292863743138, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6574.292863743138, 'Unlinked Passenger Trips': 1001179}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 60095, 'Mode': 'CB', 'UACE Code': '90514', 'Gasoline (%)': 89.71238562993746, 'Diesel (%)': 10.287614370062528, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2144.3946567925614, 'Diesel (Wh/pkm)': 7466.114059896556, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2691.872626840694, 'Unlinked Passenger Trips': 83707}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60101, 'Mode': 'MB', 'UACE Code': '23500', 'Gasoline (%)': 46.80596226016174, 'Diesel (%)': 53.194037739838265, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1898.1060589284132, 'Diesel (Wh/pkm)': 4696.306142582762, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.327346076752, 'Unlinked Passenger Trips': 686796}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60102, 'Mode': 'MB', 'UACE Code': '78553', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4779.233884468027, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 78591.8461001409, 'Unlinked Passenger Trips': 159073}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 70044, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5582.372038532706, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5582.372038532706, 'Unlinked Passenger Trips': 257534}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 70045, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 98.97670796232808, 'Diesel (%)': 1.0232920376719201, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4904.3232503482495, 'Diesel (Wh/pkm)': 67638.37770755179, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5546.275834517581, 'Unlinked Passenger Trips': 34358}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 80009, 'Mode': 'DR', 'UACE Code': '57736', 'Gasoline (%)': 96.60881355227818, 'Diesel (%)': 3.3911864477218057, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2139.992548930671, 'Diesel (Wh/pkm)': 42702.512110869146, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3515.543215169635, 'Unlinked Passenger Trips': 30470}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 35.98062749034095, 'Diesel (%)': 64.01937250965905, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3369.950449723907, 'Diesel (Wh/pkm)': 6248.496114454645, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5212.77732168852, 'Unlinked Passenger Trips': 72999}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80107, 'Mode': 'MB', 'UACE Code': '57736', 'Gasoline (%)': None, 'Diesel (%)': 67.628789074268, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 32.371210925731994, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4748.573465396116, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1641.035294478154, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3742.6257294906286, 'Unlinked Passenger Trips': 35034}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90023, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': 35.68643146502534, 'Diesel (%)': 0.011078288624481267, 'LPG (%)': None, 'CNG (%)': 60.17498846944118, 'Hydrogen (%)': None, 'Electric (%)': 4.127501776909005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 850.0687599477826, 'Diesel (Wh/pkm)': 8429.715396227202, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 183.71810870222518, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 140.47964092656233, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 420.64372402945133, 'Unlinked Passenger Trips': 14099010}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': 10.10940312976042, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 379807.47686567326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5087.690211303974, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.690211303974, 'Unlinked Passenger Trips': 218615}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 72.56393354375568, 'LPG (%)': None, 'CNG (%)': 27.43606645624432, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9757.12747034666, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4220.59365997757, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8238.120374761358, 'Unlinked Passenger Trips': 186361}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90142, 'Mode': 'MB', 'UACE Code': '22420', 'Gasoline (%)': 1.0020011516599296, 'Diesel (%)': 7.362356683903558, 'LPG (%)': None, 'CNG (%)': 91.63564216443653, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3560.9552733911814, 'Diesel (Wh/pkm)': 5631.33986686518, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1202.1811788503064, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1551.9065831504204, 'Unlinked Passenger Trips': 350421}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50010, 'Mode': 'DR', 'UACE Code': '00766', 'Gasoline (%)': None, 'Diesel (%)': 91.38551243399489, 'LPG (%)': None, 'CNG (%)': 2.3272681431924633, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4450.281412960737, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 23783.646107353172, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5624.57769537496, 'Unlinked Passenger Trips': 174873}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50016, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 17.287079233708226, 'Diesel (%)': 82.58225071215486, 'LPG (%)': None, 'CNG (%)': 0.13067005413692154, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3163.9303575234208, 'Diesel (Wh/pkm)': 2584.7370276666015, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 16783.466186902002, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2703.4161245944306, 'Unlinked Passenger Trips': 242445}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 3, 'Mode': 'MB', 'UACE Code': '80389', 'Gasoline (%)': 1.0532454713080446, 'Diesel (%)': 9.730140186482213, 'LPG (%)': None, 'CNG (%)': 89.11796074570613, 'Hydrogen (%)': None, 'Electric (%)': 0.09865359650363488, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.9674456541436, 'Diesel (Wh/pkm)': 1561.7612605413683, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 383.10385990260716, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 4851.62612047551, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 510.2636587570521, 'Unlinked Passenger Trips': 4363241}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 18, 'Mode': 'MB', 'UACE Code': '44479', 'Gasoline (%)': None, 'Diesel (%)': 99.99857792162375, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.001422078376253497, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2380.0486369924834, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 18700.51248905617, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2380.280726779828, 'Unlinked Passenger Trips': 1415305}\n", + "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 10003, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8027450704530215, 'Other (%)': 71.26103872210558, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13176.098254474178, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1366.781140888867, 'Unlinked Passenger Trips': 4780593}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30019, 'Mode': 'MB', 'UACE Code': '69076', 'Gasoline (%)': None, 'Diesel (%)': 99.99953751247902, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.0004624875209711363, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1349.627002469076, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 104391.17727419212, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1350.1035567804977, 'Unlinked Passenger Trips': 60307213}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3137.866299953118, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3137.866299953118, 'Unlinked Passenger Trips': 1460121}\n", + "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 633.1390723711863, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 633.1390723711863, 'Unlinked Passenger Trips': 1615560}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1527.6327542619572, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1527.6327542619572, 'Unlinked Passenger Trips': 545259}\n", + "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 397.6404700713487, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 397.6404700713487, 'Unlinked Passenger Trips': 2420125}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2113.6261094781307, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2113.6261094781307, 'Unlinked Passenger Trips': 465123}\n", + "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 50213, 'Mode': 'SR', 'UACE Code': '23824', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 65287.92778331304, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 65287.92778331304, 'Unlinked Passenger Trips': 6568}\n", + "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 60006, 'Mode': 'SR', 'UACE Code': '27253', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13901.566021869818, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13901.566021869818, 'Unlinked Passenger Trips': 4119}\n", + "Removing MG outlier: expected (np.float64(-3030.287463347414), np.float64(7884.636790729673)), got {'NTD ID': 90003, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 8358.967075342556, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8358.967075342556, 'Unlinked Passenger Trips': 112981}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 90015, 'Mode': 'LR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2782.897279285191, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2782.897279285191, 'Unlinked Passenger Trips': 3595952}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40037, 'Mode': 'DR', 'UACE Code': '56602', 'Gasoline (%)': 87.65513353886509, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 12.344866461134911, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3985.825243925728, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 10820.233248749928, 'All Fuels (Wh/pkm)': 4829.52378553039, 'Unlinked Passenger Trips': 696832}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90008, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.7210945016236, 'Hydrogen (%)': None, 'Electric (%)': 0.1366067747149745, 'Other (%)': 0.14229872366143176, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 442.74386368068724, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2.8225147393965107, 'Other (Wh/pkm)': 17006.729881829724, 'All Fuels (Wh/pkm)': 465.71324200590004, 'Unlinked Passenger Trips': 5027105}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1361318043431337, 'Diesel (%)': 18.761870813285633, 'LPG (%)': None, 'CNG (%)': 78.25953294967735, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.8424644326938813, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1863.5552865262869, 'Diesel (Wh/pkm)': 2952.1724002582705, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 819.6249378571132, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 10161.535613287371, 'All Fuels (Wh/pkm)': 1320.7327407524645, 'Unlinked Passenger Trips': 5537099}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90211, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 14.931764086739149, 'Hydrogen (%)': None, 'Electric (%)': 78.43781023120074, 'Other (%)': 6.630425682060115, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1617.0172703813037, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1832.3977611138912, 'Other (Wh/pkm)': 19156.993906893305, 'All Fuels (Wh/pkm)': 3332.321343644299, 'Unlinked Passenger Trips': 68573}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 7, 'Mode': 'VP', 'UACE Code': '28117', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 836.3380482652224, 'Unlinked Passenger Trips': 2726}\n", + "Removing YR outlier: expected (np.float64(-67.48704915204291), np.float64(1862.028552893858)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2757.9456068279883, 'Unlinked Passenger Trips': 84742}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10007, 'Mode': 'DR', 'UACE Code': '69778', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8595.261769753632, 'Unlinked Passenger Trips': 15044}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21565.187394484765, 'Unlinked Passenger Trips': 15651}\n", + "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7305.596795588676, 'Unlinked Passenger Trips': 70611}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5290.150238485294, 'Unlinked Passenger Trips': 74563}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11436.274145783691, 'Unlinked Passenger Trips': 110219}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20071, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4396.055451781632, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7996.428137047578, 'Unlinked Passenger Trips': 52774}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12318.755341071888, 'Unlinked Passenger Trips': 90178}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20178, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16668.869859010247, 'Unlinked Passenger Trips': 5594}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30011, 'Mode': 'DR', 'UACE Code': '01792', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 42.66220180331024, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11261.24119452563, 'Unlinked Passenger Trips': 5321}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3137.866299953118, 'Unlinked Passenger Trips': 1460121}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30034, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6846.071487656069, 'Unlinked Passenger Trips': 434474}\n", + "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 633.1390723711863, 'Unlinked Passenger Trips': 1615560}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30044, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 69.49635645843104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3512.3033321054045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7939.59948049839, 'Unlinked Passenger Trips': 113076}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30048, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.9880951414209498, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3583.6203895748868, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5370.731774424588, 'Unlinked Passenger Trips': 269010}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30070, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7422.582204170158, 'Unlinked Passenger Trips': 1248}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30070, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9487.029795229942, 'Unlinked Passenger Trips': 414287}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1527.6327542619572, 'Unlinked Passenger Trips': 545259}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30091, 'Mode': 'MB', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.1765627639202343, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 804.4877882197934, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4941.426018377204, 'Unlinked Passenger Trips': 786997}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.083928882691302, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3371.3874973571164, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5953.88186418604, 'Unlinked Passenger Trips': 1171986}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40006, 'Mode': 'VP', 'UACE Code': '95833', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1164.2454797388434, 'Unlinked Passenger Trips': 1106}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5067.874772314812, 'Unlinked Passenger Trips': 1734}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': None, 'Diesel (%)': 58.10925936885394, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3484.492057801564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4501.033407605474, 'Unlinked Passenger Trips': 308600}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8068.285769659408, 'Unlinked Passenger Trips': 7467}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40063, 'Mode': 'VP', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2553.5170614583517, 'Unlinked Passenger Trips': 30052}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7471.373991802114, 'Unlinked Passenger Trips': 15887}\n", + "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6166.262066005301, 'Unlinked Passenger Trips': 34859}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5287.577858014632, 'Unlinked Passenger Trips': 63422}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 13.439925459156226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17454.672412432035, 'Unlinked Passenger Trips': 83982}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41199, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 34.5850508810204, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4569.2552483880345, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9325.759642844307, 'Unlinked Passenger Trips': 59456}\n", + "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 397.6404700713487, 'Unlinked Passenger Trips': 2420125}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2113.6261094781307, 'Unlinked Passenger Trips': 465123}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9815.785139070314, 'Unlinked Passenger Trips': 424632}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': 15.249880882270247, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3554.883268558839, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5519.786628359914, 'Unlinked Passenger Trips': 290718}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17248.059467567862, 'Unlinked Passenger Trips': 77841}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50209, 'Mode': 'MB', 'UACE Code': '41212', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13876.975306563156, 'Unlinked Passenger Trips': 21864}\n", + "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 50213, 'Mode': 'SR', 'UACE Code': '23824', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 65287.92778331304, 'Unlinked Passenger Trips': 6568}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50515, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 12.44866471103661, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4083.2033512568837, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5269.746964428917, 'Unlinked Passenger Trips': 255704}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 1.439848297759746, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.0497435432371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7642.320097841982, 'Unlinked Passenger Trips': 116814}\n", + "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 60006, 'Mode': 'SR', 'UACE Code': '27253', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13901.566021869818, 'Unlinked Passenger Trips': 4119}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60007, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1168.9400641985358, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7589.831864738881, 'Unlinked Passenger Trips': 213978}\n", + "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4372.042646800286, 'Unlinked Passenger Trips': 231412}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60056, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.71720136846656, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1445.704394741245, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15278.196294544858, 'Unlinked Passenger Trips': 580173}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60088, 'Mode': 'MB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6574.292863743138, 'Unlinked Passenger Trips': 1001179}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60102, 'Mode': 'MB', 'UACE Code': '78553', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 78591.8461001409, 'Unlinked Passenger Trips': 159073}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8363.251851630801, 'Unlinked Passenger Trips': 30740}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 70044, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5582.372038532706, 'Unlinked Passenger Trips': 257534}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 35.98062749034095, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3369.950449723907, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5212.77732168852, 'Unlinked Passenger Trips': 72999}\n", + "Removing MG outlier: expected (np.float64(-3030.287463347414), np.float64(7884.636790729673)), got {'NTD ID': 90003, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8358.967075342556, 'Unlinked Passenger Trips': 112981}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 90015, 'Mode': 'LR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2782.897279285191, 'Unlinked Passenger Trips': 3595952}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90016, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14589.398372779393, 'Unlinked Passenger Trips': 10520}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 29.043653430671146, 'Hydrogen (%)': None, 'Electric (%)': 4.601058061889097, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 459.00266033894036, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 489.5896626018393, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7613.143615398616, 'Unlinked Passenger Trips': 305377}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': None, 'Diesel (%)': 35.93578123437486, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6367.668942454718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7576.123355501287, 'Unlinked Passenger Trips': 20370}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 670.4904678381371, 'Unlinked Passenger Trips': 16028}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.690211303974, 'Unlinked Passenger Trips': 218615}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 27.43606645624432, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4220.59365997757, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8238.120374761358, 'Unlinked Passenger Trips': 186361}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90136, 'Mode': 'DR', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12585.825606792961, 'Unlinked Passenger Trips': 274826}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 99424, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.11424776664, 'Unlinked Passenger Trips': 29368}\n", + "DR desc: count 849.000000\n", + "mean 3046.399224\n", + "std 1531.609658\n", + "min 6.319999\n", + "25% 1960.108968\n", + "50% 3003.433020\n", + "75% 4063.194809\n", + "max 7333.291052\n", + "dtype: float64\n", + "FB desc: count 52.000000\n", + "mean 7577.280649\n", + "std 6528.574084\n", + "min 1111.200632\n", + "25% 2384.310598\n", + "50% 4621.879866\n", + "75% 13988.877210\n", + "max 22076.804346\n", + "dtype: float64\n", + "MB desc: count 1036.000000\n", + "mean 1526.661877\n", + "std 964.115867\n", + "min 0.517410\n", + "25% 766.299795\n", + "50% 1336.836576\n", + "75% 2034.972473\n", + "max 4396.055452\n", + "dtype: float64\n", + "SR desc: count 36.000000\n", + "mean 1877.115382\n", + "std 1559.288037\n", + "min 224.546133\n", + "25% 675.749051\n", + "50% 1464.558911\n", + "75% 2258.668546\n", + "max 6170.008442\n", + "dtype: float64\n", + "TB desc: count 10.000000\n", + "mean 753.578001\n", + "std 365.119718\n", + "min 379.330855\n", + "25% 410.828895\n", + "50% 673.763658\n", + "75% 1055.691896\n", + "max 1248.274702\n", + "dtype: float64\n", + "VP desc: count 162.000000\n", + "mean 320.800660\n", + "std 118.583470\n", + "min 35.322685\n", + "25% 241.224811\n", + "50% 303.098481\n", + "75% 399.341301\n", + "max 628.085772\n", + "dtype: float64\n", + "RB desc: count 26.000000\n", + "mean 813.186328\n", + "std 493.261237\n", + "min 36.598824\n", + "25% 441.411565\n", + "50% 890.625316\n", + "75% 1151.534928\n", + "max 1813.419588\n", + "dtype: float64\n", + "LR desc: count 36.000000\n", + "mean 289.759985\n", + "std 147.391314\n", + "min 54.826183\n", + "25% 199.182810\n", + "50% 265.273312\n", + "75% 362.352286\n", + "max 668.047820\n", + "dtype: float64\n", + "YR desc: count 10.000000\n", + "mean 742.334358\n", + "std 330.746991\n", + "min 279.143565\n", + "25% 621.070707\n", + "50% 761.113085\n", + "75% 798.596241\n", + "max 1251.748189\n", + "dtype: float64\n", + "CB desc: count 139.000000\n", + "mean 1161.570802\n", + "std 1093.432020\n", + "min 10.700765\n", + "25% 328.580786\n", + "50% 776.721487\n", + "75% 1671.322178\n", + "max 4803.507085\n", + "dtype: float64\n", + "MG desc: count 6.000000\n", + "mean 1243.695536\n", + "std 991.522542\n", + "min 67.414796\n", + "25% 399.212908\n", + "50% 1394.607244\n", + "75% 2050.450238\n", + "max 2269.064569\n", + "dtype: float64\n", + "CR desc: count 50.000000\n", + "mean 1328.948217\n", + "std 1050.835020\n", + "min 25.559070\n", + "25% 415.569332\n", + "50% 929.423133\n", + "75% 2291.513730\n", + "max 3628.120859\n", + "dtype: float64\n", + "AR desc: count 2.000000\n", + "mean 55.509648\n", + "std 0.000000\n", + "min 55.509648\n", + "25% 55.509648\n", + "50% 55.509648\n", + "75% 55.509648\n", + "max 55.509648\n", + "dtype: float64\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.font_manager:findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.322727272727273\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 2.872272727272727\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.595454545454545\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXGeneral:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HR desc: count 26.000000\n", + "mean 116.114738\n", + "std 64.825141\n", + "min 18.211808\n", + "25% 68.377977\n", + "50% 99.564371\n", + "75% 146.103460\n", + "max 235.132535\n", + "dtype: float64\n", + "IP desc: count 6.000000\n", + "mean 4984.765782\n", + "std 4157.853678\n", + "min 183.287277\n", + "25% 1464.284385\n", + "50% 5307.275708\n", + "75% 8424.619697\n", + "max 9463.734360\n", + "dtype: float64\n", + "Gasoline desc: count 537.000000\n", + "mean 2442.371566\n", + "std 1642.586765\n", + "min 10.700765\n", + "25% 965.247644\n", + "50% 2346.731458\n", + "75% 3722.012414\n", + "max 6855.153261\n", + "Name: Gasoline (Wh/pkm), dtype: float64\n", + "Diesel desc: count 522.000000\n", + "mean 2306.055026\n", + "std 2215.766114\n", + "min 6.319999\n", + "25% 1199.890212\n", + "50% 1851.760920\n", + "75% 2755.412081\n", + "max 22076.804346\n", + "Name: Diesel (Wh/pkm), dtype: float64\n", + "LPG desc: count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: LPG (Wh/pkm), dtype: float64\n", + "CNG desc: count 193.000000\n", + "mean 773.164824\n", + "std 692.853759\n", + "min 52.204738\n", + "25% 383.103860\n", + "50% 560.771424\n", + "75% 959.109829\n", + "max 5534.786934\n", + "Name: CNG (Wh/pkm), dtype: float64\n", + "Hydrogen desc: count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: Hydrogen (Wh/pkm), dtype: float64\n", + "Electric desc: count 180.000000\n", + "mean 732.207028\n", + "std 1121.854497\n", + "min 0.517410\n", + "25% 212.101386\n", + "50% 389.986762\n", + "75% 669.476780\n", + "max 9463.734360\n", + "Name: Electric (Wh/pkm), dtype: float64\n", + "Other desc: count 1.000000\n", + "mean 4.029144\n", + "std NaN\n", + "min 4.029144\n", + "25% 4.029144\n", + "50% 4.029144\n", + "75% 4.029144\n", + "max 4.029144\n", + "Name: Other (Wh/pkm), dtype: float64\n", + "All Fuels desc: count 1013.000000\n", + "mean 2171.947277\n", + "std 2020.043517\n", + "min 18.211808\n", + "25% 795.938757\n", + "50% 1766.935705\n", + "75% 3074.590152\n", + "max 22076.804346\n", + "Name: All Fuels (Wh/pkm), dtype: float64\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXGeneral:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXGeneral ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXGeneral:style=italic:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.15\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.434999999999999\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.434999999999999\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.15\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 11.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXGeneral:style=italic:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXGeneral ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXGeneral:style=normal:variant=normal:weight=bold:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.715\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.71025\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXGeneral:style=normal:variant=normal:weight=bold:stretch=normal:size=10.0 to STIXGeneral ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXGeneral:style=italic:variant=normal:weight=bold:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.434999999999999\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.15\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.15\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.434999999999999\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 11.715\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 11.71025\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXGeneral:style=italic:variant=normal:weight=bold:stretch=normal:size=10.0 to STIXGeneral ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXNonUnicode:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXNonUnicode:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXNonUnicode ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXNonUnicode:style=italic:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.15\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.434999999999999\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.434999999999999\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.15\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 11.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXNonUnicode:style=italic:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXNonUnicode ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXNonUnicode:style=normal:variant=normal:weight=bold:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.715\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.71025\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXNonUnicode:style=normal:variant=normal:weight=bold:stretch=normal:size=10.0 to STIXNonUnicode ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeOneSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeOneSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXSizeOneSym ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeTwoSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeTwoSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXSizeTwoSym ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeThreeSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeThreeSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXSizeThreeSym ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeFourSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeFourSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXSizeFourSym ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeFiveSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching STIXSizeFiveSym:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to STIXSizeFiveSym ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmsy10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmsy10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to cmsy10 ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmr10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmr10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to cmr10 ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmtt10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmtt10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to cmtt10 ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmmi10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmmi10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to cmmi10 ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmb10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmb10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to cmb10 ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmss10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmss10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to cmss10 ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmex10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching cmex10:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to cmex10 ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans:style=italic:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.15\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.434999999999999\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.43499999999999994\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.15000000000000002\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 11.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans:style=italic:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf') with score of 0.150000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans:style=normal:variant=normal:weight=bold:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.715\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.71025\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans:style=normal:variant=normal:weight=bold:stretch=normal:size=10.0 to DejaVu Sans ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans:style=italic:variant=normal:weight=bold:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.434999999999999\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.15\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.15000000000000002\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.43499999999999994\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 11.715\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 11.71025\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 11.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.43475\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 11.4775\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans:style=italic:variant=normal:weight=bold:stretch=normal:size=10.0 to DejaVu Sans ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf') with score of 0.150000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans Mono:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans Mono:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans Mono ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans Display:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans Display:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans Display ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.font_manager:findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0.\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymBol.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Monaco.ttf', name='Monaco', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Krungthep.ttf', name='Krungthep', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ明朝 ProN.ttc', name='Hiragino Mincho ProN', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLepcha-Regular.ttf', name='Noto Sans Lepcha', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPalmyrene-Regular.ttf', name='Noto Sans Palmyrene', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/KufiStandardGK.ttc', name='KufiStandardGK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTakri-Regular.ttf', name='Noto Sans Takri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifYezidi-Regular.otf', name='Noto Serif Yezidi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Microsoft Sans Serif.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhoenician-Regular.ttf', name='Noto Sans Phoenician', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVarBol.otf', name='STIXVariants', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Silom.ttf', name='Silom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSharada-Regular.ttf', name='Noto Sans Sharada', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMarchen-Regular.ttf', name='Noto Sans Marchen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMasaramGondi-Regular.otf', name='Noto Sans Masaram Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpBol.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W4.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AlBayan.ttc', name='Al Bayan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Academy Engraved LET Fonts.ttf', name='Academy Engraved LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansDuployan-Regular.ttf', name='Noto Sans Duployan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgianRounded.ttf', name='.SF Georgian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansKannada.ttc', name='Noto Sans Kannada', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Palatino.ttc', name='Palatino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansThaana-Regular.ttf', name='Noto Sans Thaana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerif.ttc', name='PT Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSamaritan-Regular.ttf', name='Noto Sans Samaritan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymReg.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKaithi-Regular.ttf', name='Noto Sans Kaithi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLydian-Regular.ttf', name='Noto Sans Lydian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SnellRoundhand.ttc', name='Snell Roundhand', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Library/Fonts/Arial Unicode.ttf', name='Arial Unicode MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MuktaMahee.ttc', name='Mukta Mahee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSerifCaption.ttc', name='PT Serif Caption', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmBol.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Herculanum.ttf', name='Herculanum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeeteiMayek-Regular.ttf', name='Noto Sans Meetei Mayek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenian.ttf', name='.SF Armenian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam MN.ttc', name='Malayalam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuginese-Regular.ttf', name='Noto Sans Buginese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Ayuthaya.ttf', name='Ayuthaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Italic.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCanadianAboriginal-Regular.otf', name='Noto Sans Canadian Aboriginal', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kailasa.ttc', name='Kailasa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearB-Regular.ttf', name='Noto Sans Linear B', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDBol.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sana.ttc', name='Sana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Apple Chancery.ttf', name='Apple Chancery', style='normal', variant='normal', weight=0, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSRounded.ttf', name='.SF NS Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baghdad.ttc', name='Baghdad', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCoptic-Regular.ttf', name='Noto Sans Coptic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Luminari.ttf', name='Luminari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Corsiva.ttc', name='Corsiva Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSundanese-Regular.ttf', name='Noto Sans Sundanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Brush Script.ttf', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBrahmi-Regular.ttf', name='Noto Sans Brahmi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansArmenian.ttc', name='Noto Sans Armenian', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Papyrus.ttc', name='Papyrus', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow.ttf', name='Arial Narrow', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Copperplate.ttc', name='Copperplate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMeroitic-Regular.ttf', name='Noto Sans Meroitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ADTNumeric.ttc', name='.SF Soft Numeric', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala Sangam MN.ttc', name='Sinhala Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Kufi.ttc', name='Diwan Kufi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBuhid-Regular.ttf', name='Noto Sans Buhid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMro-Regular.ttf', name='Noto Sans Mro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymReg.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Helvetica.ttc', name='Helvetica', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.322727272727273\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldNorthArabian-Regular.ttf', name='Noto Sans Old North Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTMono.ttc', name='PT Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Phosphate.ttc', name='Phosphate', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi.ttf', name='Mishafi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntSmReg.otf', name='STIXIntegralsSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Light.ttc', name='Heiti TC', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sathu.ttf', name='Sathu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Charter.ttc', name='Charter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text.ttc', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DevanagariMT.ttc', name='Devanagari MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmBol.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/EuphemiaCAS.ttc', name='Euphemia UCAS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLycian-Regular.ttf', name='Noto Sans Lycian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Keyboard.ttf', name='.Keyboard', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Sinhala MN.ttc', name='Sinhala MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/LucidaGrande.ttc', name='Lucida Grande', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 2.872272727272727\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldSouthArabian-Regular.ttf', name='Noto Sans Old South Arabian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSyriac-Regular.ttf', name='Noto Sans Syriac', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCarian-Regular.ttf', name='Noto Sans Carian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Skia.ttf', name='Skia', style='normal', variant='normal', weight=5, stretch='normal', size='scalable')) = 10.42525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPermic-Regular.ttf', name='Noto Sans Old Permic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PTSans.ttc', name='PT Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi.ttf', name='Gurmukhi MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Diwan Thuluth.ttf', name='Diwan Thuluth', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizThreeSymReg.otf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagbanwa-Regular.ttf', name='Noto Sans Tagbanwa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi Sangam MN.ttc', name='Gurmukhi Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoMath.otf', name='STIX Two Math', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansImperialAramaic-Regular.ttf', name='Noto Sans Imperial Aramaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AppleSDGothicNeo.ttc', name='Apple SD Gothic Neo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Italic.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada MN.ttc', name='Kannada MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao MN.ttc', name='Lao MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalParthian-Regular.ttf', name='Noto Sans Inscriptional Parthian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Hoefler Text Ornaments.ttf', name='Hoefler Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Italic.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifBalinese-Regular.ttf', name='Noto Serif Balinese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NewPeninimMT.ttc', name='New Peninim MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu Sangam MN.ttc', name='Telugu Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS Bold.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W8.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Malayalam Sangam MN.ttc', name='Malayalam Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W5.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Shree714.ttc', name='Shree Devanagari 714', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOlChiki-Regular.ttf', name='Noto Sans Ol Chiki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGunjalaGondi-Regular.otf', name='Noto Sans Gunjala Gondi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorTelugu.ttc', name='Kohinoor Telugu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Alternate Bold.ttf', name='DIN Alternate', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWarangCiti-Regular.ttf', name='Noto Sans Warang Citi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTagalog-Regular.ttf', name='Noto Sans Tagalog', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farah.ttc', name='Farah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Marion.ttc', name='Marion', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansWancho-Regular.ttf', name='Noto Sans Wancho', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AmericanTypewriter.ttc', name='American Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpSmReg.otf', name='STIXIntegralsUpSm', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer MN.ttc', name='Khmer MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCuneiform-Regular.ttf', name='Noto Sans Cuneiform', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrew.ttf', name='.SF Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifAhom-Regular.ttf', name='Noto Serif Ahom', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsmanya-Regular.ttf', name='Noto Sans Osmanya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFHebrewRounded.ttf', name='.SF Hebrew Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/GeezaPro.ttc', name='Geeza Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMongolian-Regular.ttf', name='Noto Sans Mongolian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansUgaritic-Regular.ttf', name='Noto Sans Ugaritic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Damascus.ttc', name='Damascus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanunoo-Regular.ttf', name='Noto Sans Hanunoo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansModi-Regular.ttf', name='Noto Sans Modi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SignPainter.ttc', name='SignPainter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla Sangam MN.ttc', name='Bangla Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPhagsPa-Regular.ttf', name='Noto Sans PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleMyungjo.ttf', name='AppleMyungjo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Comic Sans MS.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Songti.ttc', name='Songti SC', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMiao-Regular.ttf', name='Noto Sans Miao', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMendeKikakui-Regular.ttf', name='Noto Sans Mende Kikakui', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBamum-Regular.ttf', name='Noto Sans Bamum', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mishafi Gold.ttf', name='Mishafi Gold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold Italic.ttf', name='Arial Narrow', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMultani-Regular.ttf', name='Noto Sans Multani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansJavanese-Regular.otf', name='Noto Sans Javanese', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kannada Sangam MN.ttc', name='Kannada Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/AppleGothic.ttf', name='AppleGothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUni.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTirhuta-Regular.ttf', name='Noto Sans Tirhuta', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkboard.ttc', name='Chalkboard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansEgyptianHieroglyphs-Regular.ttf', name='Noto Sans Egyptian Hieroglyphs', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W1.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=200, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Cochin.ttc', name='Cochin', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhudawadi-Regular.ttf', name='Noto Sans Khudawadi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Khmer Sangam MN.ttf', name='Khmer Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAvestan-Regular.ttf', name='Noto Sans Avestan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBolIta.otf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ThonburiUI.ttc', name='.ThonburiUI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansYi-Regular.ttf', name='Noto Sans Yi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DecoTypeNaskh.ttc', name='DecoType Naskh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Muna.ttc', name='Muna', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansMyanmar.ttc', name='Noto Sans Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText.ttf', name='STIX Two Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSiddham-Regular.ttf', name='Noto Sans Siddham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Hiragino Sans GB.ttc', name='Hiragino Sans GB', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W9.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralItalic.otf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Narrow Bold.ttf', name='Arial Narrow', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Outline 6 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBhaiksuki-Regular.ttf', name='Noto Sans Bhaiksuki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Symbols.ttf', name='Apple Symbols', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansInscriptionalPahlavi-Regular.ttf', name='Noto Sans Inscriptional Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ITFDevanagari.ttc', name='ITF Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorBangla.ttc', name='Kohinoor Bangla', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldItalic-Regular.ttf', name='Noto Sans Old Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar MN.ttc', name='Myanmar MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKayahLi-Regular.ttf', name='Noto Sans Kayah Li', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactRounded.ttf', name='.SF Compact Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPsalterPahlavi-Regular.ttf', name='Noto Sans Psalter Pahlavi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Seravek.ttc', name='Seravek', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia Bold Italic.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMonoItalic.ttf', name='.SF NS Mono', style='italic', variant='normal', weight=295, stretch='normal', size='scalable')) = 11.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYork.ttf', name='.New York', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNabataean-Regular.ttf', name='Noto Sans Nabataean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PlantagenetCherokee.ttf', name='Plantagenet Cherokee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W3.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLisu-Regular.ttf', name='Noto Sans Lisu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Lao Sangam MN.ttf', name='Lao Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SukhumvitSet.ttc', name='Sukhumvit Set', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSansOriya.ttc', name='Noto Sans Oriya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiTham-Regular.ttf', name='Noto Sans Tai Tham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansElbasan-Regular.ttf', name='Noto Sans Elbasan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bradley Hand Bold.ttf', name='Bradley Hand', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansAdlam-Regular.ttf', name='Noto Sans Adlam', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Didot.ttc', name='Didot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDReg.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Apple Braille Pinpoint 8 Dot.ttf', name='Apple Braille', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Waseem.ttc', name='Waseem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gujarati Sangam MN.ttc', name='Gujarati Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Telugu MN.ttc', name='Telugu MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Raanana.ttc', name='Raanana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/PartyLET-plain.ttf', name='Party LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMahajani-Regular.ttf', name='Noto Sans Mahajani', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold Italic.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPauCinHau-Regular.ttf', name='Noto Sans Pau Cin Hau', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Nadeem.ttc', name='Nadeem', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymReg.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHatran-Regular.ttf', name='Noto Sans Hatran', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Savoye LET.ttc', name='Savoye LET', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansPahawhHmong-Regular.ttf', name='Noto Sans Pahawh Hmong', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/SuperClarendon.ttc', name='Superclarendon', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBol.otf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFiveSymReg.otf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/DIN Condensed Bold.ttf', name='DIN Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGlagolitic-Regular.ttf', name='Noto Sans Glagolitic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/HelveticaNeue.ttc', name='Helvetica Neue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansHanifiRohingya-Regular.ttf', name='Noto Sans Hanifi Rohingya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSMono.ttf', name='.SF NS Mono', style='normal', variant='normal', weight=295, stretch='normal', size='scalable')) = 10.14975\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ArialHB.ttc', name='Arial Hebrew', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GujaratiMT.ttc', name='Gujarati MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 2.ttf', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoNastaliq.ttc', name='Noto Nastaliq Urdu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSoraSompeng-Regular.ttf', name='Noto Sans Sora Sompeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Kohinoor.ttc', name='Kohinoor Devanagari', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72.ttc', name='Bodoni 72', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansChakma-Regular.ttf', name='Noto Sans Chakma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCypriot-Regular.ttf', name='Noto Sans Cypriot', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana Bold Italic.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W6.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/BigCaslon.ttf', name='Big Caslon', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Farisi.ttf', name='Farisi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil MN.ttc', name='Tamil MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Andale Mono.ttf', name='Andale Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W2.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=250, stretch='normal', size='scalable')) = 10.1925\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSaurashtra-Regular.ttf', name='Noto Sans Saurashtra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNKo-Regular.ttf', name='Noto Sans NKo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya MN.ttc', name='Oriya MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/MarkerFelt.ttc', name='Marker Felt', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Nile.ttc', name='Al Nile', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompactItalic.ttf', name='.SF Compact', style='italic', variant='normal', weight=1000, stretch='normal', size='scalable')) = 11.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabicRounded.ttf', name='.SF Arabic Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Courier.ttc', name='Courier', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiLe-Regular.ttf', name='Noto Sans Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Thonburi.ttc', name='Thonburi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni Ornaments.ttf', name='Bodoni Ornaments', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Iowan Old Style.ttc', name='Iowan Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Myanmar Sangam MN.ttc', name='Myanmar Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldPersian-Regular.ttf', name='Noto Sans Old Persian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Gurmukhi MN.ttc', name='Gurmukhi MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tahoma Bold.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpReg.otf', name='STIXIntegralsUp', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNS.ttf', name='System Font', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Optima.ttc', name='Optima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCham-Regular.ttf', name='Noto Sans Cham', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Oriya Sangam MN.ttc', name='Oriya Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings 3.ttf', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Menlo.ttc', name='Menlo', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Geneva.ttf', name='Geneva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.595454545454545\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArmenianRounded.ttf', name='.SF Armenian Rounded', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCompact.ttf', name='.SF Compact', style='normal', variant='normal', weight=1000, stretch='normal', size='scalable')) = 10.62\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NotoSerifMyanmar.ttc', name='Noto Serif Myanmar', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOsage-Regular.ttf', name='Noto Sans Osage', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Black.ttf', name='Arial Black', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Devanagari Sangam MN.ttc', name='Devanagari Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFArabic.ttf', name='.SF Arabic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Chalkduster.ttf', name='Chalkduster', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Rockwell.ttc', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFGeorgian.ttf', name='.SF Georgian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 OS.ttc', name='Bodoni 72 Oldstyle', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSerifNyiakengPuachueHmong-Regular.ttf', name='Noto Serif Hmong Nyiakeng', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next.ttc', name='Avenir Next', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXNonUniBolIta.otf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Italic.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/PingFang.ttc', name='PingFang HK', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansGothic-Regular.ttf', name='Noto Sans Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntDBol.otf', name='STIXIntegralsD', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Times.ttc', name='Times', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/AquaKana.ttc', name='.Aqua Kana', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneral.otf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansVai-Regular.ttf', name='Noto Sans Vai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Italic.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Baskerville.ttc', name='Baskerville', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizFourSymBol.otf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansCaucasianAlbanian-Regular.ttf', name='Noto Sans Caucasian Albanian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTifinagh-Regular.ttf', name='Noto Sans Tifinagh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bangla MN.ttc', name='Bangla MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansMandaic-Regular.ttf', name='Noto Sans Mandaic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Bodoni 72 Smallcaps Book.ttf', name='Bodoni 72 Smallcaps', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansSylotiNagri-Regular.ttf', name='Noto Sans Syloti Nagri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansManichaean-Regular.ttf', name='Noto Sans Manichaean', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Athelas.ttc', name='Athelas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizOneSymBol.otf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldHungarian-Regular.ttf', name='Noto Sans Old Hungarian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewa-Regular.ttf', name='Noto Sans Newa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/NewYorkItalic.ttf', name='.New York', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Beirut.ttc', name='Beirut', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir.ttc', name='Avenir', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Futura.ttc', name='Futura', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBatak-Regular.ttf', name='Noto Sans Batak', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXIntUpDReg.otf', name='STIXIntegralsUpD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Courier New Bold Italic.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Al Tarikh.ttc', name='Al Tarikh', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Rounded Bold.ttf', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXSizTwoSymBol.otf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W0.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=100, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Zapfino.ttf', name='Zapfino', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Arial Bold Italic.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Noteworthy.ttc', name='Noteworthy', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/InaiMathi-MN.ttc', name='InaiMathi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansBassaVah-Regular.ttf', name='Noto Sans Bassa Vah', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trebuchet MS Bold.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFCamera.ttf', name='.SF Camera', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLimbu-Regular.ttf', name='Noto Sans Limbu', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKhojki-Regular.ttf', name='Noto Sans Khojki', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ角ゴシック W7.ttc', name='Hiragino Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansNewTaiLue-Regular.ttf', name='Noto Sans New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kefa.ttc', name='Kefa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXGeneralBol.otf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Avenir Next Condensed.ttc', name='Avenir Next Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansOldTurkic-Regular.ttf', name='Noto Sans Old Turkic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Times New Roman Bold.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/KohinoorGujarati.ttc', name='Kohinoor Gujarati', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansKharoshthi-Regular.ttf', name='Noto Sans Kharoshthi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Wingdings.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansRejang-Regular.ttf', name='Noto Sans Rejang', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansLinearA-Regular.ttf', name='Noto Sans Linear A', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/STHeiti Medium.ttc', name='Heiti TC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Mshtakan.ttc', name='Mshtakan', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/SFNSItalic.ttf', name='System Font', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Galvji.ttc', name='Galvji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ヒラギノ丸ゴ ProN W4.ttc', name='Hiragino Maru Gothic Pro', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXVar.otf', name='STIXVariants', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/GillSans.ttc', name='Gill Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Kokonor.ttf', name='Kokonor', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Trattatello.ttf', name='Trattatello', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/NotoSansTaiViet-Regular.ttf', name='Noto Sans Tai Viet', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/STIXTwoText-Italic.ttf', name='STIX Two Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/ChalkboardSE.ttc', name='Chalkboard SE', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", + "DEBUG:matplotlib.font_manager:findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to DejaVu Sans ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "../src/emcommon/resources/ntd2020_intensities.json exists but URLs have changed, will recreate\n", + "2020\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dropping 12 rows with missing UACE Code\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/2497400976.py:28: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Removing outliers\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 5, 'Mode': 'DR', 'UACE Code': '80389', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17014.66512756386, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17645.760847043326, 'Unlinked Passenger Trips': 53400}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 19, 'Mode': 'DR', 'UACE Code': '65242', 'Gasoline (%)': 1.6841629232701998, 'Diesel (%)': 70.81388537750883, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 27.50195169922097, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21512.376065437176, 'Diesel (Wh/pkm)': 2995.6098083579786, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3469.9506960381723, 'Unlinked Passenger Trips': 143104}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 10001, 'Mode': 'VP', 'UACE Code': '72505', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1526.0946678745154, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1526.0946678745154, 'Unlinked Passenger Trips': 62321}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10040, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8301.513151390058, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8301.513151390058, 'Unlinked Passenger Trips': 4617}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10064, 'Mode': 'MB', 'UACE Code': '72505', 'Gasoline (%)': 8.05518025117772, 'Diesel (%)': 91.94481974882227, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5566.951840175719, 'Diesel (Wh/pkm)': 1968.9991388073734, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2258.8207142547117, 'Unlinked Passenger Trips': 543996}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10066, 'Mode': 'CB', 'UACE Code': '11755', 'Gasoline (%)': 0.15278069177396592, 'Diesel (%)': 99.84721930822604, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 28641.778381830627, 'Diesel (Wh/pkm)': 207.85478239903674, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 251.2963275727293, 'Unlinked Passenger Trips': 173839}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7876.2160305723855, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7876.2160305723855, 'Unlinked Passenger Trips': 181633}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 9.667361741611709, 'Diesel (%)': 90.33263825838829, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7690.087593242858, 'Diesel (Wh/pkm)': 3488.954697660515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30083, 'Mode': 'DR', 'UACE Code': '90892', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 33524.75965809171, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33524.75965809171, 'Unlinked Passenger Trips': 336232}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': 48.300788356579744, 'Diesel (%)': 51.69921164342026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10302.642422319175, 'Diesel (Wh/pkm)': 14330.88469596972, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40002, 'Mode': 'DR', 'UACE Code': '45640', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11141.492519300684, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11141.492519300684, 'Unlinked Passenger Trips': 60941}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40028, 'Mode': 'DR', 'UACE Code': '13510', 'Gasoline (%)': 4.485835837883961, 'Diesel (%)': 24.57013423785122, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 70.94402992426481, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16792.355027208087, 'Diesel (Wh/pkm)': 2446.1175705145147, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4909.279972329542, 'Unlinked Passenger Trips': 111547}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40031, 'Mode': 'MB', 'UACE Code': '46828', 'Gasoline (%)': 7.119889341261063, 'Diesel (%)': 92.88011065873893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7312.692659825837, 'Diesel (Wh/pkm)': 2027.9206637279478, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2404.190581788071, 'Unlinked Passenger Trips': 774569}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1716.5528488112682, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1716.5528488112682, 'Unlinked Passenger Trips': 14155}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40036, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 23.036374275440238, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 76.96362572455978, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11633.224840592811, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1078.8394181069327, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3510.187146503284, 'Unlinked Passenger Trips': 109362}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40051, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8453.959763227964, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8453.959763227964, 'Unlinked Passenger Trips': 57602}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9420.739521948457, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9420.739521948457, 'Unlinked Passenger Trips': 7957}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': 26.55595362626761, 'Diesel (%)': 73.44404637373239, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5619.170122733872, 'Diesel (Wh/pkm)': 3459.193412245356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9207.553783873936, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9207.553783873936, 'Unlinked Passenger Trips': 21120}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40097, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': 1.4865332487456024, 'Diesel (%)': 98.5134667512544, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9130.13835379776, 'Diesel (Wh/pkm)': 2129.0227596840637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2233.0966707736775, 'Unlinked Passenger Trips': 68212}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': 99.99971822334182, 'Diesel (%)': 0.00028177665818518926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3775.008711431088, 'Diesel (Wh/pkm)': 21727843.611543547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 68.12337098175499, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 31.876629018245005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11710.876490456216, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 494.93159861953836, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8135.611346394638, 'Unlinked Passenger Trips': 9196}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 91.0513460928121, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 8.9486539071879, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9021.719082222677, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8422.659301298758, 'Unlinked Passenger Trips': 91319}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50022, 'Mode': 'MB', 'UACE Code': '87868', 'Gasoline (%)': 5.3346022573902905e-05, 'Diesel (%)': 99.99994665397743, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15910420.255291028, 'Diesel (Wh/pkm)': 2042.8735808036647, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2051.3600673928536, 'Unlinked Passenger Trips': 1001383}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50031, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.1381564698664949, 'Diesel (%)': 17.031023725926044, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 82.83081980420747, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12274.439214557475, 'Diesel (Wh/pkm)': 4573.593999730587, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4799.300088645927, 'Unlinked Passenger Trips': 346930}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': 63.9206385846296, 'Diesel (%)': 36.07936141537041, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8946.323329473327, 'Diesel (Wh/pkm)': 8456.803151258255, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 50040, 'Mode': 'VP', 'UACE Code': '02602', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1074.4606930089446, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1074.4606930089446, 'Unlinked Passenger Trips': 193599}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50045, 'Mode': 'DR', 'UACE Code': '16264', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13126.56335518287, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13126.56335518287, 'Unlinked Passenger Trips': 12554}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 17.221387588102733, 'Diesel (%)': 82.77861241189726, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 38554.79298234826, 'Diesel (Wh/pkm)': 6969.72218622415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': 72.20866106138686, 'Diesel (%)': 27.791338938613148, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17610.573888975006, 'Diesel (Wh/pkm)': 13519.51375322511, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50157, 'Mode': 'DR', 'UACE Code': '16885', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8591.747084484272, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8591.747084484272, 'Unlinked Passenger Trips': 34609}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 79173.77769457226, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 109140.40914656768, 'Unlinked Passenger Trips': 62638}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50198, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 16.570763813524252, 'Diesel (%)': 83.42923618647575, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12173.145399748155, 'Diesel (Wh/pkm)': 112.57961048043698, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2111.107481994698, 'Unlinked Passenger Trips': 35158}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60008, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8372.893740517704, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8372.893740517704, 'Unlinked Passenger Trips': 1551223}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 60048, 'Mode': 'VP', 'UACE Code': '04384', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2856.4680837232117, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2856.4680837232117, 'Unlinked Passenger Trips': 432153}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60095, 'Mode': 'MB', 'UACE Code': '90514', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6785.42792517164, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6785.42792517164, 'Unlinked Passenger Trips': 168541}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60111, 'Mode': 'DR', 'UACE Code': '01171', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 26004.462728596718, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26004.462728596718, 'Unlinked Passenger Trips': 49900}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8065.926553720119, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8065.926553720119, 'Unlinked Passenger Trips': 57709}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70035, 'Mode': 'MB', 'UACE Code': '43912', 'Gasoline (%)': 1.8203864277489596, 'Diesel (%)': 84.63439573440952, 'LPG (%)': None, 'CNG (%)': 13.545217837841506, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7828.115497903377, 'Diesel (Wh/pkm)': 2704.3051384584455, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1310.374242211329, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2608.767310419727, 'Unlinked Passenger Trips': 149539}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70048, 'Mode': 'DR', 'UACE Code': '48232', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7541.777921860914, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7541.777921860914, 'Unlinked Passenger Trips': 43977}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': 36.30098533977076, 'Diesel (%)': 63.699014660229224, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3342.5872502880384, 'Diesel (Wh/pkm)': 8351.579051864566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90009, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.8702877942804552, 'Diesel (%)': 98.9636647945405, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.1660474111790506, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5487.825236108926, 'Diesel (Wh/pkm)': 1392.7395207468355, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 0.32731077555383453, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1426.0664874653562, 'Unlinked Passenger Trips': 8953687}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90086, 'Mode': 'DR', 'UACE Code': '75340', 'Gasoline (%)': 0.04508869686936392, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.95491130313064, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17419.371116294576, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 653.5071534994337, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 661.0666630791483, 'Unlinked Passenger Trips': 97080}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90147, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 80.85265271075959, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 19.147347289240408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8157.972310598777, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 212.61170266680074, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6636.646521615538, 'Unlinked Passenger Trips': 261429}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90159, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 44815.9029220862, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 44815.9029220862, 'Unlinked Passenger Trips': 27815}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90196, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8647.54848275411, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8647.54848275411, 'Unlinked Passenger Trips': 24647}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2182.4745517323845, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2182.4745517323845, 'Unlinked Passenger Trips': 153432}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90219, 'Mode': 'VP', 'UACE Code': '29818', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1648.841177655871, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1648.841177655871, 'Unlinked Passenger Trips': 8922}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90233, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1481.1306867436215, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1481.1306867436215, 'Unlinked Passenger Trips': 68423}\n", + "Removing YR outlier: expected (np.float64(12.264212171699512), np.float64(976.9718941567324)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1323.574873416663, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1323.574873416663, 'Unlinked Passenger Trips': 272313}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 16, 'Mode': 'DR', 'UACE Code': '51283', 'Gasoline (%)': 59.88415239453724, 'Diesel (%)': 0.7787426390508593, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 39.337104966411914, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5878.173948674644, 'Diesel (Wh/pkm)': 13561.90774484908, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7348.928942300558, 'Unlinked Passenger Trips': 26222}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3531.150016351292, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3531.150016351292, 'Unlinked Passenger Trips': 236772}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10066, 'Mode': 'DR', 'UACE Code': '11755', 'Gasoline (%)': 99.8481761648889, 'Diesel (%)': 0.15182383511110836, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5442.782979983078, 'Diesel (Wh/pkm)': 143748.62365749583, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5652.7642114823375, 'Unlinked Passenger Trips': 135978}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 65.4756174325175, 'Diesel (%)': 34.524382567482505, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2666.204879817641, 'Diesel (Wh/pkm)': 7505.511841548257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4336.945728900333, 'Unlinked Passenger Trips': 124721}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3399.620010304807, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3399.620010304807, 'Unlinked Passenger Trips': 106733}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2137.743848328784, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2137.743848328784, 'Unlinked Passenger Trips': 477660}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20008, 'Mode': 'DR', 'UACE Code': '63217', 'Gasoline (%)': 98.29207116872034, 'Diesel (%)': 1.7079288312796537, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4133.145391017476, 'Diesel (Wh/pkm)': 11241.04356400247, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4254.543233211885, 'Unlinked Passenger Trips': 2502323}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20072, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': 42.3913761294567, 'Diesel (%)': 57.6086238705433, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 772.7848674971983, 'Diesel (Wh/pkm)': 3458.6494957812006, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2320.074518877295, 'Unlinked Passenger Trips': 2234828}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10546.021648304762, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10546.021648304762, 'Unlinked Passenger Trips': 111318}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30034, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 11007.976999736657, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11007.976999736657, 'Unlinked Passenger Trips': 55439277}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': 90.33263825838829, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3488.954697660515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 51.69921164342026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 14330.88469596972, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 86.1796331023662, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.820366897633814, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3518.9052071062197, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1859.2360562676179, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3289.5328411734813, 'Unlinked Passenger Trips': 2005653}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40003, 'Mode': 'DR', 'UACE Code': '56116', 'Gasoline (%)': 76.93309859485196, 'Diesel (%)': 23.06690140514805, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2763.787978789513, 'Diesel (Wh/pkm)': 12734.817642636834, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5063.795560427239, 'Unlinked Passenger Trips': 159929}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7522.6938482174455, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7522.6938482174455, 'Unlinked Passenger Trips': 457188}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40036, 'Mode': 'MB', 'UACE Code': '86464', 'Gasoline (%)': None, 'Diesel (%)': 83.94385769872152, 'LPG (%)': None, 'CNG (%)': 9.25377646450757, 'Hydrogen (%)': None, 'Electric (%)': 6.802365836770916, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3783.3002755725706, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1442.7981863696652, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 233.43359115010867, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3325.240525498538, 'Unlinked Passenger Trips': 2046582}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 17356.819814985673, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17356.819814985673, 'Unlinked Passenger Trips': 406504}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': None, 'Diesel (%)': 73.44404637373239, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3459.193412245356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 211305.70910883203, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 211305.70910883203, 'Unlinked Passenger Trips': 59778}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40100, 'Mode': 'MB', 'UACE Code': '85708', 'Gasoline (%)': 93.48060148844382, 'Diesel (%)': 6.519398511556174, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 732.7251893168394, 'Diesel (Wh/pkm)': 3489.3483810895523, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 945.3472680353655, 'Unlinked Passenger Trips': 115689}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': None, 'Diesel (%)': 0.00028177665818518926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21727843.611543547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40141, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 54.43511462753816, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 45.56488537246183, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4809.008695952649, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3252.5933080568802, 'Unlinked Passenger Trips': 2350222}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1525.1486470734064, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1525.1486470734064, 'Unlinked Passenger Trips': 214101}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40192, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2720.79752257257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2720.79752257257, 'Unlinked Passenger Trips': 9765}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 10.669544372147847, 'Diesel (%)': 89.33045562785216, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3021.476332814577, 'Diesel (Wh/pkm)': 4095.839954634681, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3981.2102512863703, 'Unlinked Passenger Trips': 80275}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.98585414979546, 'Diesel (%)': 0.014145850204530826, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1759.569724223179, 'Diesel (Wh/pkm)': 11936.88439937583, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1761.00939191197, 'Unlinked Passenger Trips': 123863}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 44929, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21660.00533153179, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21660.00533153179, 'Unlinked Passenger Trips': 37582}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50021, 'Mode': 'MB', 'UACE Code': '00766', 'Gasoline (%)': 40.05475163634727, 'Diesel (%)': 51.59781915494999, 'LPG (%)': None, 'CNG (%)': 8.347429208702744, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 532.8473960023601, 'Diesel (Wh/pkm)': 3700.4596646091254, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1567.5984081457043, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2253.6413541130883, 'Unlinked Passenger Trips': 397309}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50034, 'Mode': 'DR', 'UACE Code': '42157', 'Gasoline (%)': 94.53388615662836, 'Diesel (%)': 5.466113843371634, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3242.0806716672637, 'Diesel (Wh/pkm)': 20668.529758953326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4194.630217635517, 'Unlinked Passenger Trips': 22159}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50036, 'Mode': 'DR', 'UACE Code': '47719', 'Gasoline (%)': 98.82464000283714, 'Diesel (%)': 1.1753599971628599, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3957.5967729762842, 'Diesel (Wh/pkm)': 19351.21602055549, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4138.527215727893, 'Unlinked Passenger Trips': 330925}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': None, 'Diesel (%)': 36.07936141537041, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8456.803151258255, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 28.68546115054473, 'Diesel (%)': 71.31453884945526, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 942.6757600962276, 'Diesel (Wh/pkm)': 7012.0548151691955, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5271.02544424694, 'Unlinked Passenger Trips': 493179}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 82.77861241189726, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6969.72218622415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': None, 'Diesel (%)': 27.791338938613148, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13519.51375322511, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50092, 'Mode': 'MB', 'UACE Code': '75637', 'Gasoline (%)': 49.02319295788119, 'Diesel (%)': 50.9768070421188, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 46.32582931300053, 'Diesel (Wh/pkm)': 3263.937984670651, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1686.56176911343, 'Unlinked Passenger Trips': 876908}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50146, 'Mode': 'MB', 'UACE Code': '77770', 'Gasoline (%)': 20.422988163264723, 'Diesel (%)': 79.57701183673528, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1244.8213921229055, 'Diesel (Wh/pkm)': 3773.919126117356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3257.4017952662734, 'Unlinked Passenger Trips': 1747383}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50154, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 32.414806485537234, 'Diesel (%)': 67.58519351446277, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1177.8653278230706, 'Diesel (Wh/pkm)': 4200.0602911771, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3220.421642190239, 'Unlinked Passenger Trips': 1058928}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50157, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10528.74251476537, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18766.858178940434, 'Unlinked Passenger Trips': 186122}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50517, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5581.074959737538, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5581.074959737538, 'Unlinked Passenger Trips': 1218}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60009, 'Mode': 'DR', 'UACE Code': '47854', 'Gasoline (%)': 65.47313163626464, 'Diesel (%)': 34.52686836373537, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5323.192441916898, 'Diesel (Wh/pkm)': 7665.552681034305, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6131.936078281444, 'Unlinked Passenger Trips': 30752}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 77.77752665510246, 'LPG (%)': None, 'CNG (%)': 22.22247334489753, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9589.478401391048, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2346.736779699934, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.962075070941, 'Unlinked Passenger Trips': 16481}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60032, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 33065.19986576219, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33065.19986576219, 'Unlinked Passenger Trips': 400943}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 60056, 'Mode': 'CR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1634.9774509458591, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1634.9774509458591, 'Unlinked Passenger Trips': 1266076}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 60095, 'Mode': 'CB', 'UACE Code': '90514', 'Gasoline (%)': 75.92350153502224, 'Diesel (%)': 24.076498464977757, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 622.1628282069369, 'Diesel (Wh/pkm)': 3249.059512859338, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1254.627568163824, 'Unlinked Passenger Trips': 67255}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60103, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 99.7797302679129, 'Diesel (%)': 0.2202697320871049, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1030.9930411062219, 'Diesel (Wh/pkm)': 8100.8680384289, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1046.5658358217179, 'Unlinked Passenger Trips': 85067}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60127, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 22848.095831505492, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22848.095831505492, 'Unlinked Passenger Trips': 505664}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70019, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9576.261056260882, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9576.261056260882, 'Unlinked Passenger Trips': 6441}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70048, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 46.97748973385665, 'Diesel (%)': 53.02251026614334, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1741.7581810828715, 'Diesel (Wh/pkm)': 4418.593155482343, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.083280191547, 'Unlinked Passenger Trips': 524148}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': None, 'Diesel (%)': 63.699014660229224, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8351.579051864566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 64.09437932682044, 'Diesel (%)': 35.905620673179556, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3013.3717108050423, 'Diesel (Wh/pkm)': 6451.534513832163, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4247.865404986318, 'Unlinked Passenger Trips': 68999}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90009, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 99.53255412685141, 'Diesel (%)': 0.4674458731485827, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 38.085109036914474, 'Diesel (Wh/pkm)': 247882.4950628998, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1196.6235751957017, 'Unlinked Passenger Trips': 273568}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90088, 'Mode': 'DR', 'UACE Code': '61057', 'Gasoline (%)': 99.81435430520577, 'Diesel (%)': 0.1856456947942405, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4353.644600064741, 'Diesel (Wh/pkm)': 281185.94356030994, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4867.571844884358, 'Unlinked Passenger Trips': 88486}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3249.7198721736077, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3249.7198721736077, 'Unlinked Passenger Trips': 395774}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90121, 'Mode': 'MB', 'UACE Code': '67140', 'Gasoline (%)': None, 'Diesel (%)': 25.917087153521734, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 74.08291284647827, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5984.714522628747, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1508.3291986896368, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2668.477884422392, 'Unlinked Passenger Trips': 1702884}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 62.71717450642041, 'LPG (%)': None, 'CNG (%)': 37.282825493579594, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5537.924618430688, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1909.0864672445844, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4184.991223079532, 'Unlinked Passenger Trips': 632664}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90214, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 11060.153356165254, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11060.153356165254, 'Unlinked Passenger Trips': 10317}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 3, 'Mode': 'MB', 'UACE Code': '80389', 'Gasoline (%)': 0.8260317665486375, 'Diesel (%)': 10.772788828122074, 'LPG (%)': None, 'CNG (%)': 88.16744732652332, 'Hydrogen (%)': None, 'Electric (%)': 0.23373207880597208, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 911.6411415214352, 'Diesel (Wh/pkm)': 1343.3333513161679, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 335.1022415653488, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 6831.006830175003, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 463.6622572105935, 'Unlinked Passenger Trips': 4755960}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 18, 'Mode': 'MB', 'UACE Code': '44479', 'Gasoline (%)': None, 'Diesel (%)': 99.99567446202379, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.004325537976211553, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2362.520628538274, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 8252.014020032631, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2362.77538081153, 'Unlinked Passenger Trips': 1218177}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 20099, 'Mode': 'HR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 255.39624441533817, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 255.39624441533817, 'Unlinked Passenger Trips': 2713941}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 587.3186108816903, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 587.3186108816903, 'Unlinked Passenger Trips': 5572417}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 610.167751960864, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 610.167751960864, 'Unlinked Passenger Trips': 1044002}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 40034, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1611.6859712672479, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1611.6859712672479, 'Unlinked Passenger Trips': 11862059}\n", + "Removing SR outlier: expected (np.float64(-1320.621992382698), np.float64(3314.984859547297)), got {'NTD ID': 50003, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 15841.636594160265, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15841.636594160265, 'Unlinked Passenger Trips': 3845}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 379.11957207919994, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 379.11957207919994, 'Unlinked Passenger Trips': 2638201}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3060.4790050878587, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3060.4790050878587, 'Unlinked Passenger Trips': 589245}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90032, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.0206692067182273, 'Diesel (%)': 22.711444451132166, 'LPG (%)': None, 'CNG (%)': 74.90089908710604, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.3669872550435685, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 973.2636859763709, 'Diesel (Wh/pkm)': 1790.4100242116274, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.8059303458351, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 24280.550133230525, 'All Fuels (Wh/pkm)': 761.6795402231954, 'Unlinked Passenger Trips': 30330695}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.89315644598202, 'Diesel (%)': 19.250863606632613, 'LPG (%)': None, 'CNG (%)': 76.8628843639063, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9930955834790622, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1140.294871715322, 'Diesel (Wh/pkm)': 1521.802485733266, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 534.5818690948446, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5751.980927638325, 'All Fuels (Wh/pkm)': 793.9683479028037, 'Unlinked Passenger Trips': 11137195}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 5, 'Mode': 'DR', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17645.760847043326, 'Unlinked Passenger Trips': 53400}\n", + "Removing YR outlier: expected (np.float64(12.264212171699512), np.float64(976.9718941567324)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1323.574873416663, 'Unlinked Passenger Trips': 272313}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 43, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 100.0, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9069.534815876887, 'Unlinked Passenger Trips': 40221}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3531.150016351292, 'Unlinked Passenger Trips': 236772}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 10001, 'Mode': 'VP', 'UACE Code': '72505', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1526.0946678745154, 'Unlinked Passenger Trips': 62321}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10040, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8301.513151390058, 'Unlinked Passenger Trips': 4617}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 65.4756174325175, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2666.204879817641, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4336.945728900333, 'Unlinked Passenger Trips': 124721}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3399.620010304807, 'Unlinked Passenger Trips': 106733}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2137.743848328784, 'Unlinked Passenger Trips': 477660}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7876.2160305723855, 'Unlinked Passenger Trips': 181633}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10546.021648304762, 'Unlinked Passenger Trips': 111318}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 20099, 'Mode': 'HR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 255.39624441533817, 'Unlinked Passenger Trips': 2713941}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 587.3186108816903, 'Unlinked Passenger Trips': 5572417}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30034, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11007.976999736657, 'Unlinked Passenger Trips': 55439277}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30083, 'Mode': 'DR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33524.75965809171, 'Unlinked Passenger Trips': 336232}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 610.167751960864, 'Unlinked Passenger Trips': 1044002}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.820366897633814, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1859.2360562676179, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3289.5328411734813, 'Unlinked Passenger Trips': 2005653}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40002, 'Mode': 'DR', 'UACE Code': '45640', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11141.492519300684, 'Unlinked Passenger Trips': 60941}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7522.6938482174455, 'Unlinked Passenger Trips': 457188}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1716.5528488112682, 'Unlinked Passenger Trips': 14155}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 40034, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1611.6859712672479, 'Unlinked Passenger Trips': 11862059}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40036, 'Mode': 'MB', 'UACE Code': '86464', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 9.25377646450757, 'Hydrogen (%)': None, 'Electric (%)': 6.802365836770916, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1442.7981863696652, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 233.43359115010867, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3325.240525498538, 'Unlinked Passenger Trips': 2046582}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17356.819814985673, 'Unlinked Passenger Trips': 406504}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40051, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8453.959763227964, 'Unlinked Passenger Trips': 57602}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9420.739521948457, 'Unlinked Passenger Trips': 7957}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40063, 'Mode': 'DR', 'UACE Code': '67105', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2839.2118982948937, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 45862.40944852857, 'Unlinked Passenger Trips': 112270}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 211305.70910883203, 'Unlinked Passenger Trips': 59778}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9207.553783873936, 'Unlinked Passenger Trips': 21120}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40141, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 45.56488537246183, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3252.5933080568802, 'Unlinked Passenger Trips': 2350222}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1525.1486470734064, 'Unlinked Passenger Trips': 214101}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 31.876629018245005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 494.93159861953836, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8135.611346394638, 'Unlinked Passenger Trips': 9196}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40192, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2720.79752257257, 'Unlinked Passenger Trips': 9765}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 10.669544372147847, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3021.476332814577, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3981.2102512863703, 'Unlinked Passenger Trips': 80275}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 8.9486539071879, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8422.659301298758, 'Unlinked Passenger Trips': 91319}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 44929, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21660.00533153179, 'Unlinked Passenger Trips': 37582}\n", + "Removing SR outlier: expected (np.float64(-1320.621992382698), np.float64(3314.984859547297)), got {'NTD ID': 50003, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15841.636594160265, 'Unlinked Passenger Trips': 3845}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50011, 'Mode': 'DR', 'UACE Code': '13375', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1782.458435506402, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7819.471811802534, 'Unlinked Passenger Trips': 92110}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 379.11957207919994, 'Unlinked Passenger Trips': 2638201}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3060.4790050878587, 'Unlinked Passenger Trips': 589245}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50040, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2366.1938590928266, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8620.453913897603, 'Unlinked Passenger Trips': 133417}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 50040, 'Mode': 'VP', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1074.4606930089446, 'Unlinked Passenger Trips': 193599}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50045, 'Mode': 'DR', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13126.56335518287, 'Unlinked Passenger Trips': 12554}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 28.68546115054473, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 942.6757600962276, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5271.02544424694, 'Unlinked Passenger Trips': 493179}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50146, 'Mode': 'MB', 'UACE Code': '77770', 'Gasoline (%)': 20.422988163264723, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1244.8213921229055, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3257.4017952662734, 'Unlinked Passenger Trips': 1747383}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50154, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 32.414806485537234, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1177.8653278230706, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3220.421642190239, 'Unlinked Passenger Trips': 1058928}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50157, 'Mode': 'DR', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8591.747084484272, 'Unlinked Passenger Trips': 34609}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50157, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18766.858178940434, 'Unlinked Passenger Trips': 186122}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 109140.40914656768, 'Unlinked Passenger Trips': 62638}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50517, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5581.074959737538, 'Unlinked Passenger Trips': 1218}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60008, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8372.893740517704, 'Unlinked Passenger Trips': 1551223}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 22.22247334489753, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2346.736779699934, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.962075070941, 'Unlinked Passenger Trips': 16481}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60032, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33065.19986576219, 'Unlinked Passenger Trips': 400943}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 60048, 'Mode': 'VP', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2856.4680837232117, 'Unlinked Passenger Trips': 432153}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 60056, 'Mode': 'CR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1634.9774509458591, 'Unlinked Passenger Trips': 1266076}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60059, 'Mode': 'MB', 'UACE Code': '18748', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2326.0863485749956, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6920.335142859514, 'Unlinked Passenger Trips': 194839}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60095, 'Mode': 'MB', 'UACE Code': '90514', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6785.42792517164, 'Unlinked Passenger Trips': 168541}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60111, 'Mode': 'DR', 'UACE Code': '01171', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26004.462728596718, 'Unlinked Passenger Trips': 49900}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8065.926553720119, 'Unlinked Passenger Trips': 57709}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60127, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22848.095831505492, 'Unlinked Passenger Trips': 505664}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70019, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9576.261056260882, 'Unlinked Passenger Trips': 6441}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70048, 'Mode': 'DR', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7541.777921860914, 'Unlinked Passenger Trips': 43977}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70048, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 46.97748973385665, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1741.7581810828715, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.083280191547, 'Unlinked Passenger Trips': 524148}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 64.09437932682044, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3013.3717108050423, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4247.865404986318, 'Unlinked Passenger Trips': 68999}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4435.709297994961, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12806.700740895738, 'Unlinked Passenger Trips': 126099}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2952.454564240245, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9775.133409426599, 'Unlinked Passenger Trips': 46466}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3249.7198721736077, 'Unlinked Passenger Trips': 395774}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 37.282825493579594, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1909.0864672445844, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4184.991223079532, 'Unlinked Passenger Trips': 632664}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90159, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 44815.9029220862, 'Unlinked Passenger Trips': 27815}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90196, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8647.54848275411, 'Unlinked Passenger Trips': 24647}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90214, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11060.153356165254, 'Unlinked Passenger Trips': 10317}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2182.4745517323845, 'Unlinked Passenger Trips': 153432}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90219, 'Mode': 'VP', 'UACE Code': '29818', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1648.841177655871, 'Unlinked Passenger Trips': 8922}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90233, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1481.1306867436215, 'Unlinked Passenger Trips': 68423}\n", + "DR desc: count 781.000000\n", + "mean 2987.579428\n", + "std 1515.739444\n", + "min 38.085109\n", + "25% 1919.889629\n", + "50% 2924.672579\n", + "75% 3843.179153\n", + "max 7348.928942\n", + "dtype: float64\n", + "FB desc: count 44.000000\n", + "mean 3761.163300\n", + "std 2505.407374\n", + "min 935.055104\n", + "25% 2243.017778\n", + "50% 2878.550611\n", + "75% 3837.020215\n", + "max 10235.514645\n", + "dtype: float64\n", + "MB desc: count 1000.000000\n", + "mean 1069.456620\n", + "std 649.499713\n", + "min 0.327311\n", + "25% 523.728069\n", + "50% 1010.679634\n", + "75% 1505.775983\n", + "max 3098.029334\n", + "dtype: float64\n", + "SR desc: count 38.000000\n", + "mean 1104.672126\n", + "std 741.406985\n", + "min 268.834651\n", + "25% 390.009515\n", + "50% 1060.710221\n", + "75% 1532.233810\n", + "max 2857.471400\n", + "dtype: float64\n", + "TB desc: count 10.000000\n", + "mean 491.886360\n", + "std 131.114464\n", + "min 353.726868\n", + "25% 361.423840\n", + "50% 500.554958\n", + "75% 561.084927\n", + "max 682.641205\n", + "dtype: float64\n", + "VP desc: count 145.000000\n", + "mean 382.038717\n", + "std 177.846711\n", + "min 0.290475\n", + "25% 270.113805\n", + "50% 345.112552\n", + "75% 464.692460\n", + "max 891.823367\n", + "dtype: float64\n", + "RB desc: count 25.000000\n", + "mean 644.928341\n", + "std 520.075530\n", + "min 45.894738\n", + "25% 176.123051\n", + "50% 536.960357\n", + "75% 962.015459\n", + "max 1707.495722\n", + "dtype: float64\n", + "LR desc: count 38.000000\n", + "mean 164.595331\n", + "std 58.627069\n", + "min 57.485971\n", + "25% 117.062161\n", + "50% 164.093500\n", + "75% 222.715675\n", + "max 241.049661\n", + "dtype: float64\n", + "YR desc: count 10.000000\n", + "mean 422.413916\n", + "std 158.754882\n", + "min 205.716292\n", + "25% 355.729965\n", + "50% 428.928477\n", + "75% 452.129239\n", + "max 669.565605\n", + "dtype: float64\n", + "MG desc: count 12.000000\n", + "mean 1003.347397\n", + "std 652.020368\n", + "min 170.291882\n", + "25% 675.389951\n", + "50% 815.774878\n", + "75% 1418.064754\n", + "max 2124.788042\n", + "dtype: float64\n", + "CB desc: count 134.000000\n", + "mean 694.590258\n", + "std 500.630267\n", + "min 52.368393\n", + "25% 356.804095\n", + "50% 536.132825\n", + "75% 961.503343\n", + "max 2380.071580\n", + "dtype: float64\n", + "CR desc: count 48.000000\n", + "mean 513.290770\n", + "std 375.141035\n", + "min 33.687321\n", + "25% 195.757844\n", + "50% 471.335963\n", + "75% 703.479167\n", + "max 1388.151438\n", + "dtype: float64\n", + "AR desc: count 2.000000\n", + "mean 225.220835\n", + "std 0.000000\n", + "min 225.220835\n", + "25% 225.220835\n", + "50% 225.220835\n", + "75% 225.220835\n", + "max 225.220835\n", + "dtype: float64\n", + "TR desc: count 2.000000\n", + "mean 225.016095\n", + "std 0.000000\n", + "min 225.016095\n", + "25% 225.016095\n", + "50% 225.016095\n", + "75% 225.016095\n", + "max 225.016095\n", + "dtype: float64\n", + "HR desc: count 22.000000\n", + "mean 53.900016\n", + "std 26.287725\n", + "min 20.215529\n", + "25% 33.556714\n", + "50% 51.176006\n", + "75% 65.088454\n", + "max 113.919413\n", + "dtype: float64\n", + "IP desc: count 6.000000\n", + "mean 3184.963354\n", + "std 2707.841591\n", + "min 202.613595\n", + "25% 926.129268\n", + "50% 3096.676288\n", + "75% 5465.869207\n", + "max 6255.600180\n", + "dtype: float64\n", + "CC desc: count 2.000000\n", + "mean 358.668947\n", + "std 0.000000\n", + "min 358.668947\n", + "25% 358.668947\n", + "50% 358.668947\n", + "75% 358.668947\n", + "max 358.668947\n", + "dtype: float64\n", + "Gasoline desc: count 508.000000\n", + "mean 2169.322115\n", + "std 1635.912322\n", + "min 0.445682\n", + "25% 672.568738\n", + "50% 1901.485607\n", + "75% 3287.996343\n", + "max 7196.876343\n", + "Name: Gasoline (Wh/pkm), dtype: float64\n", + "Diesel desc: count 518.000000\n", + "mean 1673.400737\n", + "std 1296.840651\n", + "min 97.448398\n", + "25% 877.428467\n", + "50% 1344.459936\n", + "75% 2023.820043\n", + "max 10235.514645\n", + "Name: Diesel (Wh/pkm), dtype: float64\n", + "LPG desc: count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: LPG (Wh/pkm), dtype: float64\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 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6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CNG desc: count 188.000000\n", + "mean 624.306127\n", + "std 712.577147\n", + "min 45.894738\n", + "25% 266.881651\n", + "50% 388.116387\n", + "75% 701.513772\n", + "max 5728.640992\n", + "Name: CNG (Wh/pkm), dtype: float64\n", + "Hydrogen desc: count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: Hydrogen (Wh/pkm), dtype: float64\n", + "Electric desc: count 135.000000\n", + "mean 504.353110\n", + "std 739.677751\n", + "min 0.327311\n", + "25% 154.518116\n", + "50% 263.263049\n", + "75% 507.852143\n", + "max 6255.600180\n", + "Name: Electric (Wh/pkm), dtype: float64\n", + "Other desc: count 5.000000\n", + "mean 1783.674036\n", + "std 2331.941231\n", + "min 0.290475\n", + "25% 4.860946\n", + "50% 1093.163288\n", + "75% 2194.276957\n", + "max 5625.778515\n", + "Name: Other (Wh/pkm), dtype: float64\n", + "All Fuels desc: count 965.000000\n", + "mean 1746.730706\n", + "std 1525.124893\n", + "min 20.215529\n", + "25% 574.478286\n", + "50% 1285.958726\n", + "75% 2534.476866\n", + "max 10235.514645\n", + "Name: All Fuels (Wh/pkm), dtype: float64\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", 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8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "../src/emcommon/resources/ntd2019_intensities.json exists but URLs have changed, will recreate\n", + "2019\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dropping 12 rows with missing UACE Code\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/2497400976.py:28: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Removing outliers\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 11.0, 'Mode': 'MB', 'UACE Code': '08785', 'Gasoline (%)': 0.9856837866126754, 'Diesel (%)': 1.5816709027409535, 'LPG (%)': None, 'CNG (%)': 97.43264531064636, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11553.771288058468, 'Diesel (Wh/pkm)': 1381.109784361101, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 273.3689843084738, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 402.0788947934425, 'Unlinked Passenger Trips': 1213678}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 9.929117804887099, 'Diesel (%)': 90.0708821951129, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8793.794057396048, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 873.1461714780144, 'Unlinked Passenger Trips': 6214}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': 27.146143175712456, 'Diesel (%)': 72.85385682428756, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2432.4808558092095, 'Diesel (Wh/pkm)': 3341.7920111535564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10053.0, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': 5.959353689070008, 'Diesel (%)': 94.04064631093, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2233.8237540723203, 'Diesel (Wh/pkm)': 1030.175798120172, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1101.9054369866221, 'Unlinked Passenger Trips': 206000}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10066.0, 'Mode': 'MB', 'UACE Code': '11755', 'Gasoline (%)': 0.3235318573738532, 'Diesel (%)': 99.67646814262615, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14940.779630756444, 'Diesel (Wh/pkm)': 646.2951657188951, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 692.542376810648, 'Unlinked Passenger Trips': 2443703}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6333.750043467756, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6333.750043467756, 'Unlinked Passenger Trips': 128143}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 94.858866117396, 'Diesel (%)': 5.141133882604008, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8160.643827302505, 'Diesel (Wh/pkm)': 4887.374427004995, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7992.360665094902, 'Unlinked Passenger Trips': 186041}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 20113.0, 'Mode': 'VP', 'UACE Code': '75664', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 521.4656079762473, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.4656079762473, 'Unlinked Passenger Trips': 17971}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': 91.82929891388548, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 8.170701086114509, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9652.189947882762, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 8621.95896013045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30035.0, 'Mode': 'DR', 'UACE Code': '94726', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6072.017489318482, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6072.017489318482, 'Unlinked Passenger Trips': 3944}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30045.0, 'Mode': 'CB', 'UACE Code': '15724', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8536.25163311689, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8536.25163311689, 'Unlinked Passenger Trips': 39953}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': 17.503845155572108, 'Diesel (%)': 79.56582641066625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4710.389106400182, 'Diesel (Wh/pkm)': 3187.242739542017, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1007.2122963409187, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1007.2122963409187, 'Unlinked Passenger Trips': 1449867}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30096.0, 'Mode': 'DR', 'UACE Code': '78364', 'Gasoline (%)': 3.8284427757145383, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 96.17155722428546, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 19052.486538707526, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2337.1791175702106, 'Unlinked Passenger Trips': 63716}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30096.0, 'Mode': 'MB', 'UACE Code': '78364', 'Gasoline (%)': 6.8771737088667395, 'Diesel (%)': 25.294784806379816, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 67.82804148475344, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2224.417423846439, 'Diesel (Wh/pkm)': 590.9389778726799, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 535.2884596446356, 'Unlinked Passenger Trips': 261380}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40036.0, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 18.955903560115615, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 81.0440964398844, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13770.92671462685, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1016.9223491184539, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3434.559116697161, 'Unlinked Passenger Trips': 137819}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7333.031049556799, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10244.947651837972, 'Unlinked Passenger Trips': 7256}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40053.0, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6658.734052852649, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6658.734052852649, 'Unlinked Passenger Trips': 9455}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40082.0, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7668.126094996984, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7668.126094996984, 'Unlinked Passenger Trips': 13349}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 90.0188406432108, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 9.981159356789204, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15004.134275678904, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 640.839441983884, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13570.510929442333, 'Unlinked Passenger Trips': 10206}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40185.0, 'Mode': 'DR', 'UACE Code': '67305', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11738.129822596382, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11799.361993939377, 'Unlinked Passenger Trips': 58150}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 5.271884967849729, 'Diesel (%)': 94.72811503215027, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.060931176233, 'Diesel (Wh/pkm)': 2447.139203532212, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40244.0, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 39.47957896874991, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 60.52042103125008, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13037.638488143275, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5494.203419667641, 'Unlinked Passenger Trips': 129108}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': 67.68999963408832, 'Diesel (%)': 32.31000036591167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5704.132180613385, 'Diesel (Wh/pkm)': 4965.283483415956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50001.0, 'Mode': 'MB', 'UACE Code': '02764', 'Gasoline (%)': 6.745649133358089, 'Diesel (%)': 93.25435086664193, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2218.1981618549107, 'Diesel (Wh/pkm)': 1303.6958178278155, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1365.3849372722188, 'Unlinked Passenger Trips': 961978}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50031.0, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.12205679488890125, 'Diesel (%)': 24.081514082102434, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 75.79642912300866, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14751.550899819686, 'Diesel (Wh/pkm)': 3764.3632080062866, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3433.9091886797155, 'Unlinked Passenger Trips': 422132}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 22.26365776025029, 'Diesel (%)': 77.73634223974972, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8719.390209245674, 'Diesel (Wh/pkm)': 3167.84297722233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50113.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 0.027770735284214372, 'Diesel (%)': 83.72329176407327, 'LPG (%)': None, 'CNG (%)': 16.24893750064253, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2739.392534539697, 'Diesel (Wh/pkm)': 883.1064492083643, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 258.80592202938647, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 782.1797510257455, 'Unlinked Passenger Trips': 26191884}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 91.12334947913212, 'Diesel (%)': 8.876650520867893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8308.48323637887, 'Diesel (Wh/pkm)': 2653.4088224262428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7806.502043957276, 'Unlinked Passenger Trips': 23561}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 60017.0, 'Mode': 'VP', 'UACE Code': '65080', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 539.1351405471803, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 539.1351405471803, 'Unlinked Passenger Trips': 4296}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 60048.0, 'Mode': 'MB', 'UACE Code': '04384', 'Gasoline (%)': 0.7023319652967583, 'Diesel (%)': 99.29766803470325, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3231.704185450981, 'Diesel (Wh/pkm)': 951.696071848576, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 967.7092976417654, 'Unlinked Passenger Trips': 28313270}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60056.0, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 1.1541697782219738, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 98.84583022177802, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 42493.870450969145, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 708.842356461482, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1191.1125225498506, 'Unlinked Passenger Trips': 415034}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60101.0, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6071.31704171719, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6071.31704171719, 'Unlinked Passenger Trips': 47871}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70010.0, 'Mode': 'DR', 'UACE Code': '23743', 'Gasoline (%)': 3.1076517970117923, 'Diesel (%)': 96.89234820298822, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 24691.91474390032, 'Diesel (Wh/pkm)': 3226.3889407541956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3893.462739113697, 'Unlinked Passenger Trips': 97936}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70014.0, 'Mode': 'DR', 'UACE Code': '88084', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6535.617965724188, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6535.617965724188, 'Unlinked Passenger Trips': 22605}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70018.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 83.59521477543025, 'Diesel (%)': 16.40478522456975, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6237.871612506946, 'Diesel (Wh/pkm)': 5276.666989890317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6080.188058598052, 'Unlinked Passenger Trips': 96815}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70030.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 47.741657696447795, 'Diesel (%)': 52.258342303552205, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7141.667112229983, 'Diesel (Wh/pkm)': 3193.199938060166, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5078.2636206089255, 'Unlinked Passenger Trips': 12156}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80003.0, 'Mode': 'MB', 'UACE Code': '29089', 'Gasoline (%)': 0.33409165909801086, 'Diesel (%)': 99.66590834090199, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3629.4482673454118, 'Diesel (Wh/pkm)': 883.1454323866548, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 892.3206010918242, 'Unlinked Passenger Trips': 1343534}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90009.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.5502942229311764, 'Diesel (%)': 99.3977588397715, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.05194693729733578, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4226.489928633949, 'Diesel (Wh/pkm)': 1159.8469116722272, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 0.2588571730409972, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1176.3104964473662, 'Unlinked Passenger Trips': 10997736}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90012.0, 'Mode': 'DR', 'UACE Code': '85087', 'Gasoline (%)': 44.414948323572446, 'Diesel (%)': 55.585051676427554, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7917.91137678926, 'Diesel (Wh/pkm)': 3606.1042660012818, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5521.191166069885, 'Unlinked Passenger Trips': 15022}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90027.0, 'Mode': 'DR', 'UACE Code': '31843', 'Gasoline (%)': 86.5757621164444, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 13.424237883555598, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15751.737359036046, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3304.7704593811004, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14080.826913138942, 'Unlinked Passenger Trips': 220351}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90086.0, 'Mode': 'DR', 'UACE Code': '75340', 'Gasoline (%)': 0.01657348865372403, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.98342651134628, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21099.406649431, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 567.9554782810873, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 571.3582560113828, 'Unlinked Passenger Trips': 139878}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90119.0, 'Mode': 'MB', 'UACE Code': '57709', 'Gasoline (%)': 0.014052759680946146, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 99.98594724031905, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 48608.3026553361, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1011.7335746930542, 'Unlinked Passenger Trips': 820829}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90142.0, 'Mode': 'MB', 'UACE Code': '22420', 'Gasoline (%)': 0.020214771191370447, 'Diesel (%)': 6.422598393785894, 'LPG (%)': None, 'CNG (%)': 93.55718683502273, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3432.669702789639, 'Diesel (Wh/pkm)': 877.1568034775011, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 160.21195751219204, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 206.91996551903281, 'Unlinked Passenger Trips': 3741782}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 95.03925005587945, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 4.9607499441205585, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9133.613959575323, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1132.9479870330815, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8736.720926813161, 'Unlinked Passenger Trips': 198289}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90205.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 30.16428395702922, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 69.83571604297077, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14649.394759423922, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 163.9930658457157, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4533.4107650129645, 'Unlinked Passenger Trips': 20380}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90244.0, 'Mode': 'DR', 'UACE Code': '90946', 'Gasoline (%)': 53.237670465159724, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 46.76232953484028, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9386.457915484474, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 192.78893090597873, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.284128573475, 'Unlinked Passenger Trips': 17690}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 2.0, 'Mode': 'DR', 'UACE Code': '83764', 'Gasoline (%)': 49.188134725787585, 'Diesel (%)': 49.04057222213926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.7712930520731376, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1661.9492719914615, 'Diesel (Wh/pkm)': 10742.264415441627, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2179.009547177021, 'All Fuels (Wh/pkm)': 6124.14643064238, 'Unlinked Passenger Trips': 441097}\n", + "Removing YR outlier: expected (np.float64(23.114891739978077), np.float64(680.7031258505597)), got {'NTD ID': 8.0, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 709.8566605123034, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 709.8566605123034, 'Unlinked Passenger Trips': 374044}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': 91.37361543777102, 'Diesel (%)': 8.626384562228987, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2444.547749140535, 'Diesel (Wh/pkm)': 6562.837203222997, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2799.807234835409, 'Unlinked Passenger Trips': 241297}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': None, 'Diesel (%)': 72.85385682428756, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3341.7920111535564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10066.0, 'Mode': 'DR', 'UACE Code': '11755', 'Gasoline (%)': 98.60028170587177, 'Diesel (%)': 1.399718294128232, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2935.3485325195634, 'Diesel (Wh/pkm)': 48136.88476749949, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3568.042704427579, 'Unlinked Passenger Trips': 158805}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 60.00191088888182, 'Diesel (%)': 39.99808911111819, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1186.4923145228674, 'Diesel (Wh/pkm)': 2231.338078527747, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1604.4106542832826, 'Unlinked Passenger Trips': 173342}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2472.0866431400136, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2472.0866431400136, 'Unlinked Passenger Trips': 161230}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20004.0, 'Mode': 'MB', 'UACE Code': '11350', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 46231.844820005506, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50734.52479517615, 'Unlinked Passenger Trips': 19282797}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2376.9523157978515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2376.9523157978515, 'Unlinked Passenger Trips': 196886}\n", + "Removing CR outlier: expected (np.float64(-422.20243413846475), np.float64(1133.7240994950157)), got {'NTD ID': 20078.0, 'Mode': 'CR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 0.07586870655134739, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 95.49992589329386, 'Other (%)': 4.424205400154778, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18633.183687290115, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 26.56238839817041, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 39.5038166886253, 'Unlinked Passenger Trips': 91433762}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2498.395663093816, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2498.395663093816, 'Unlinked Passenger Trips': 406193}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30011.0, 'Mode': 'MB', 'UACE Code': '01792', 'Gasoline (%)': None, 'Diesel (%)': 15.653069117094345, 'LPG (%)': None, 'CNG (%)': 84.34693088290565, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3871.814107790777, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 832.6838378506914, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1308.4009995629485, 'Unlinked Passenger Trips': 556182}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30015.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': 89.98877583164358, 'LPG (%)': None, 'CNG (%)': 10.011224168356408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2696.0959618617194, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 213.58456168924377, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2447.5661805854497, 'Unlinked Passenger Trips': 1135601}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10586.236486927322, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10586.236486927322, 'Unlinked Passenger Trips': 3623587}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 30.162221720718446, 'Diesel (%)': 69.83777827928155, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1505.570331275777, 'Diesel (Wh/pkm)': 3015.3805126751436, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2559.9882181994853, 'Unlinked Passenger Trips': 375513}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 79.56582641066625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3187.242739542017, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30081.0, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': 65.80802910074603, 'Diesel (%)': 34.191970899253974, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2008.4793663340251, 'Diesel (Wh/pkm)': 2224.446051443708, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2082.3226324588113, 'Unlinked Passenger Trips': 376033}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40002.0, 'Mode': 'MB', 'UACE Code': '45640', 'Gasoline (%)': 17.847959761464946, 'Diesel (%)': 82.15204023853505, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1503.6006255111383, 'Diesel (Wh/pkm)': 2204.265120927597, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2079.2108037227954, 'Unlinked Passenger Trips': 2685291}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40004.0, 'Mode': 'MB', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 51479.82455508889, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53902.27554502195, 'Unlinked Passenger Trips': 9285398}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6937.772352704548, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6937.772352704548, 'Unlinked Passenger Trips': 515344}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40018.0, 'Mode': 'MB', 'UACE Code': '51755', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 123842.84324923738, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 125356.78571660868, 'Unlinked Passenger Trips': 10832836}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40031.0, 'Mode': 'DR', 'UACE Code': '46828', 'Gasoline (%)': 97.6634029512307, 'Diesel (%)': 2.336597048769306, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3087.155439880125, 'Diesel (Wh/pkm)': 14745.41449123678, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3359.561976812005, 'Unlinked Passenger Trips': 107741}\n", + "Removing RB outlier: expected (np.float64(-547.2494962483245), np.float64(1572.9858573410165)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2765.151247657171, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2765.151247657171, 'Unlinked Passenger Trips': 1040300}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 16085.530906619992, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16085.530906619992, 'Unlinked Passenger Trips': 423806}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40068.0, 'Mode': 'DR', 'UACE Code': '29953', 'Gasoline (%)': 99.34383915797224, 'Diesel (%)': 0.6561608420277609, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1647.81594763092, 'Diesel (Wh/pkm)': 7995.449342435871, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1689.4666323631072, 'Unlinked Passenger Trips': 89614}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 85.22138919126245, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 14.778610808737566, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2183.2062116477227, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2309.3305799750965, 'Unlinked Passenger Trips': 2654874}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2437.492858746562, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2437.492858746562, 'Unlinked Passenger Trips': 9923}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 94.72811503215027, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2447.139203532212, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 32.31000036591167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4965.283483415956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 41105.0, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.9764266703536, 'Diesel (%)': 0.023573329646400056, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2401.182255482736, 'Diesel (Wh/pkm)': 55746.74895131824, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2413.757581771685, 'Unlinked Passenger Trips': 151344}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 41157.14458404882, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 41157.14458404882, 'Unlinked Passenger Trips': 56420}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1965.0538746013897, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1965.0538746013897, 'Unlinked Passenger Trips': 122391}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50044.0, 'Mode': 'MB', 'UACE Code': '31087', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 94582.73182578087, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 94582.73182578087, 'Unlinked Passenger Trips': 1600996}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5231.9334826675795, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5636.094673989819, 'Unlinked Passenger Trips': 778430}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50053.0, 'Mode': 'DR', 'UACE Code': '87139', 'Gasoline (%)': 86.71368912564532, 'Diesel (%)': 13.286310874354673, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2010.1595703156027, 'Diesel (Wh/pkm)': 15790.746594974746, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3841.0912027227996, 'Unlinked Passenger Trips': 17095}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 77.73634223974972, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3167.84297722233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50054.0, 'Mode': 'DR', 'UACE Code': '60625', 'Gasoline (%)': None, 'Diesel (%)': 0.668462820831584, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 99.33153717916842, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12743.065351218926, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3727.806650740778, 'Unlinked Passenger Trips': 55889}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50154.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 99.9916846514741, 'Diesel (%)': 0.008315348525911115, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2773.9926738601725, 'Diesel (Wh/pkm)': 72345.11674221377, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2779.7777552998505, 'Unlinked Passenger Trips': 2573189}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50198.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 65.66730006803199, 'Diesel (%)': 34.332699931968, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 524.4054886656445, 'Diesel (Wh/pkm)': 8554.707698810718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3281.425050104948, 'Unlinked Passenger Trips': 38897}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8775.99673630732, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8775.99673630732, 'Unlinked Passenger Trips': 136312}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 89.12820133097621, 'LPG (%)': None, 'CNG (%)': 10.871798669023796, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8513.248214314332, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2029.8726915750021, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7808.388680525343, 'Unlinked Passenger Trips': 22258}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12556.485470992562, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12556.485470992562, 'Unlinked Passenger Trips': 844949}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 15622.47773339219, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15622.47773339219, 'Unlinked Passenger Trips': 718059}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60130.0, 'Mode': 'DR', 'UACE Code': '78580', 'Gasoline (%)': 99.99597326752982, 'Diesel (%)': 0.00402673247018645, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2908.3129379675506, 'Diesel (Wh/pkm)': 179629.43392982133, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2915.429024728207, 'Unlinked Passenger Trips': 130793}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70016.0, 'Mode': 'DR', 'UACE Code': '18937', 'Gasoline (%)': 69.7314294405399, 'Diesel (%)': 7.766722434643586, 'LPG (%)': None, 'CNG (%)': 22.501848124816515, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 671.1442212040579, 'Diesel (Wh/pkm)': 28643.514527247415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1134.59085410439, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2947.964638739917, 'Unlinked Passenger Trips': 52868}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 70048.0, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 54.54308357591155, 'Diesel (%)': 45.45691642408844, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1111.8317496236916, 'Diesel (Wh/pkm)': 2203.1681704627313, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1607.919634350132, 'Unlinked Passenger Trips': 1108579}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 80009.0, 'Mode': 'DR', 'UACE Code': '57736', 'Gasoline (%)': 75.05126230527284, 'Diesel (%)': 24.94873769472717, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2721.4516160450526, 'Diesel (Wh/pkm)': 6263.037128305961, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3605.032495733486, 'Unlinked Passenger Trips': 41918}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 67.25461883453832, 'Diesel (%)': 32.74538116546167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1847.996241252163, 'Diesel (Wh/pkm)': 4124.497446809608, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2593.4452382482787, 'Unlinked Passenger Trips': 110313}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90009.0, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 98.6286862171691, 'Diesel (%)': 1.3713137828309054, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1640.329318768034, 'Diesel (Wh/pkm)': 13254.754818515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1799.5995364426917, 'Unlinked Passenger Trips': 225135}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90087.0, 'Mode': 'MB', 'UACE Code': '79417', 'Gasoline (%)': 7.044213979882271, 'Diesel (%)': 92.95578602011773, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1230.36487226712, 'Diesel (Wh/pkm)': 2170.4539751732123, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2104.2320871629513, 'Unlinked Passenger Trips': 663526}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 60.18836802839378, 'LPG (%)': None, 'CNG (%)': 39.811631971606225, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6190.74474931405, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1924.9165932533485, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4492.448943282007, 'Unlinked Passenger Trips': 771520}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90159.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3465.4134836949816, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.649109359535, 'Unlinked Passenger Trips': 811886}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 8.170701086114509, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 8621.95896013045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6654.6079432359065, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8056.946538959973, 'Unlinked Passenger Trips': 98590}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2986.6320228345216, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5040.656541940525, 'Unlinked Passenger Trips': 1442723}\n", + "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 53.03688894372484, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53.03688894372484, 'Unlinked Passenger Trips': 1939224}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 454.593457626446, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 454.593457626446, 'Unlinked Passenger Trips': 7162790}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 199.9001689377636, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 199.9001689377636, 'Unlinked Passenger Trips': 7275335}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 451.366799194593, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 451.366799194593, 'Unlinked Passenger Trips': 1428956}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 40034.0, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 164.68347309474024, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 164.68347309474024, 'Unlinked Passenger Trips': 18494501}\n", + "Removing SR outlier: expected (np.float64(-764.000169778611), np.float64(2093.351822887108)), got {'NTD ID': 50003.0, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2161.9369327411578, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2161.9369327411578, 'Unlinked Passenger Trips': 36658}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 192.34584305205686, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192.34584305205686, 'Unlinked Passenger Trips': 5666706}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 936.5662710336559, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 936.5662710336559, 'Unlinked Passenger Trips': 1484863}\n", + "Removing TB outlier: expected (np.float64(269.0790585103246), np.float64(456.66907892177966)), got {'NTD ID': 50017.0, 'Mode': 'TB', 'UACE Code': '22528', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 521.3394053477258, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.3394053477258, 'Unlinked Passenger Trips': 2047285}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90001.0, 'Mode': 'MB', 'UACE Code': '74179', 'Gasoline (%)': None, 'Diesel (%)': 89.62849518658918, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 10.37150481341083, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 780.7905604785835, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2265.2360511620504, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 934.7498959972793, 'Unlinked Passenger Trips': 7166712}\n", + "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1570.7859376694457, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1570.7859376694457, 'Unlinked Passenger Trips': 886515}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': 99.35589780504873, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.6441021949512638, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 358.1649880520731, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 23.264341946529402, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 356.00788563960134, 'Unlinked Passenger Trips': 572713}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90032.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1231744814605698, 'Diesel (%)': 25.674075034796246, 'LPG (%)': None, 'CNG (%)': 71.47976299908333, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.7229874846598398, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 748.3525976602164, 'Diesel (Wh/pkm)': 1474.6729769071815, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 272.69022004096826, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 12799.499257013123, 'All Fuels (Wh/pkm)': 681.9545787281794, 'Unlinked Passenger Trips': 40696303}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90136.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1327277408057967, 'Diesel (%)': 17.75382571096142, 'LPG (%)': None, 'CNG (%)': 79.13650223860375, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9769443096290263, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1007.287841469384, 'Diesel (Wh/pkm)': 1284.06344497336, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 347.58404218267106, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5238.045114727647, 'All Fuels (Wh/pkm)': 575.6917302705706, 'Unlinked Passenger Trips': 13875664}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 2.0, 'Mode': 'DR', 'UACE Code': '83764', 'Gasoline (%)': 49.188134725787585, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.7712930520731376, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1661.9492719914615, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2179.009547177021, 'All Fuels (Wh/pkm)': 6124.14643064238, 'Unlinked Passenger Trips': 441097}\n", + "Removing YR outlier: expected (np.float64(23.114891739978077), np.float64(680.7031258505597)), got {'NTD ID': 8.0, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 709.8566605123034, 'Unlinked Passenger Trips': 374044}\n", + "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53.03688894372484, 'Unlinked Passenger Trips': 1939224}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10042.0, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4090.3756536271176, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26905.588129945943, 'Unlinked Passenger Trips': 48529}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2472.0866431400136, 'Unlinked Passenger Trips': 161230}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6333.750043467756, 'Unlinked Passenger Trips': 128143}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20004.0, 'Mode': 'MB', 'UACE Code': '11350', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50734.52479517615, 'Unlinked Passenger Trips': 19282797}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2376.9523157978515, 'Unlinked Passenger Trips': 196886}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': 5.141133882604008, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4887.374427004995, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7992.360665094902, 'Unlinked Passenger Trips': 186041}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2498.395663093816, 'Unlinked Passenger Trips': 406193}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 20113.0, 'Mode': 'VP', 'UACE Code': '75664', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.4656079762473, 'Unlinked Passenger Trips': 17971}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30015.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 10.011224168356408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 213.58456168924377, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2447.5661805854497, 'Unlinked Passenger Trips': 1135601}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 454.593457626446, 'Unlinked Passenger Trips': 7162790}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10586.236486927322, 'Unlinked Passenger Trips': 3623587}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 199.9001689377636, 'Unlinked Passenger Trips': 7275335}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30035.0, 'Mode': 'DR', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6072.017489318482, 'Unlinked Passenger Trips': 3944}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 30.162221720718446, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1505.570331275777, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2559.9882181994853, 'Unlinked Passenger Trips': 375513}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30045.0, 'Mode': 'CB', 'UACE Code': '15724', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8536.25163311689, 'Unlinked Passenger Trips': 39953}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1007.2122963409187, 'Unlinked Passenger Trips': 1449867}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 451.366799194593, 'Unlinked Passenger Trips': 1428956}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40004.0, 'Mode': 'MB', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53902.27554502195, 'Unlinked Passenger Trips': 9285398}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6937.772352704548, 'Unlinked Passenger Trips': 515344}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40018.0, 'Mode': 'MB', 'UACE Code': '51755', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 125356.78571660868, 'Unlinked Passenger Trips': 10832836}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 40034.0, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 164.68347309474024, 'Unlinked Passenger Trips': 18494501}\n", + "Removing RB outlier: expected (np.float64(-547.2494962483245), np.float64(1572.9858573410165)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2765.151247657171, 'Unlinked Passenger Trips': 1040300}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16085.530906619992, 'Unlinked Passenger Trips': 423806}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10244.947651837972, 'Unlinked Passenger Trips': 7256}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40053.0, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6658.734052852649, 'Unlinked Passenger Trips': 9455}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40082.0, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7668.126094996984, 'Unlinked Passenger Trips': 13349}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 14.778610808737566, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2309.3305799750965, 'Unlinked Passenger Trips': 2654874}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 9.981159356789204, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 640.839441983884, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13570.510929442333, 'Unlinked Passenger Trips': 10206}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40185.0, 'Mode': 'DR', 'UACE Code': '67305', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11799.361993939377, 'Unlinked Passenger Trips': 58150}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2437.492858746562, 'Unlinked Passenger Trips': 9923}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 41157.14458404882, 'Unlinked Passenger Trips': 56420}\n", + "Removing SR outlier: expected (np.float64(-764.000169778611), np.float64(2093.351822887108)), got {'NTD ID': 50003.0, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2161.9369327411578, 'Unlinked Passenger Trips': 36658}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192.34584305205686, 'Unlinked Passenger Trips': 5666706}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 936.5662710336559, 'Unlinked Passenger Trips': 1484863}\n", + "Removing TB outlier: expected (np.float64(269.0790585103246), np.float64(456.66907892177966)), got {'NTD ID': 50017.0, 'Mode': 'TB', 'UACE Code': '22528', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.3394053477258, 'Unlinked Passenger Trips': 2047285}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1965.0538746013897, 'Unlinked Passenger Trips': 122391}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50040.0, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2693.288935398943, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10541.584630438749, 'Unlinked Passenger Trips': 184393}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50044.0, 'Mode': 'MB', 'UACE Code': '31087', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 94582.73182578087, 'Unlinked Passenger Trips': 1600996}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5636.094673989819, 'Unlinked Passenger Trips': 778430}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50198.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 65.66730006803199, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 524.4054886656445, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3281.425050104948, 'Unlinked Passenger Trips': 38897}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': None, 'Diesel (%)': 8.876650520867893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2653.4088224262428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7806.502043957276, 'Unlinked Passenger Trips': 23561}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8775.99673630732, 'Unlinked Passenger Trips': 136312}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 10.871798669023796, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2029.8726915750021, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7808.388680525343, 'Unlinked Passenger Trips': 22258}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 60017.0, 'Mode': 'VP', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 539.1351405471803, 'Unlinked Passenger Trips': 4296}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12556.485470992562, 'Unlinked Passenger Trips': 844949}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60101.0, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6071.31704171719, 'Unlinked Passenger Trips': 47871}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15622.47773339219, 'Unlinked Passenger Trips': 718059}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70014.0, 'Mode': 'DR', 'UACE Code': '88084', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6535.617965724188, 'Unlinked Passenger Trips': 22605}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70018.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 16.40478522456975, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5276.666989890317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6080.188058598052, 'Unlinked Passenger Trips': 96815}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 67.25461883453832, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1847.996241252163, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2593.4452382482787, 'Unlinked Passenger Trips': 110313}\n", + "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1570.7859376694457, 'Unlinked Passenger Trips': 886515}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8056.946538959973, 'Unlinked Passenger Trips': 98590}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90027.0, 'Mode': 'DR', 'UACE Code': '31843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 13.424237883555598, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3304.7704593811004, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14080.826913138942, 'Unlinked Passenger Trips': 220351}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 39.811631971606225, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1924.9165932533485, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4492.448943282007, 'Unlinked Passenger Trips': 771520}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 4.9607499441205585, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1132.9479870330815, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8736.720926813161, 'Unlinked Passenger Trips': 198289}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5040.656541940525, 'Unlinked Passenger Trips': 1442723}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90159.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.649109359535, 'Unlinked Passenger Trips': 811886}\n", + "DR desc: count 838.000000\n", + "mean 2481.193104\n", + "std 1228.383848\n", + "min 9.878013\n", + "25% 1647.909511\n", + "50% 2484.021321\n", + "75% 3200.783208\n", + "max 5857.104086\n", + "dtype: float64\n", + "FB desc: count 46.000000\n", + "mean 2820.529823\n", + "std 1841.657660\n", + "min 842.070657\n", + "25% 1721.590348\n", + "50% 2260.839100\n", + "75% 3391.903758\n", + "max 8319.547758\n", + "dtype: float64\n", + "MB desc: count 922.000000\n", + "mean 818.491050\n", + "std 455.461684\n", + "min 0.258857\n", + "25% 454.210057\n", + "50% 788.183221\n", + "75% 1083.683656\n", + "max 2104.232087\n", + "dtype: float64\n", + "SR desc: count 42.000000\n", + "mean 730.278636\n", + "std 519.786766\n", + "min 206.666221\n", + "25% 306.494882\n", + "50% 686.674986\n", + "75% 849.107969\n", + "max 2000.397344\n", + "dtype: float64\n", + "TB desc: count 8.000000\n", + "mean 341.750805\n", + "std 34.555351\n", + "min 295.183525\n", + "25% 328.364868\n", + "50% 342.748437\n", + "75% 356.134373\n", + "max 386.322821\n", + "dtype: float64\n", + "VP desc: count 161.000000\n", + "mean 264.590713\n", + "std 78.447852\n", + "min 47.502611\n", + "25% 207.517568\n", + "50% 264.384973\n", + "75% 308.541407\n", + "max 462.689759\n", + "dtype: float64\n", + "RB desc: count 18.000000\n", + "mean 581.327466\n", + "std 420.278693\n", + "min 142.566128\n", + "25% 210.459107\n", + "50% 510.414487\n", + "75% 777.897600\n", + "max 1476.700523\n", + "dtype: float64\n", + "LR desc: count 38.000000\n", + "mean 126.178036\n", + "std 51.397456\n", + "min 34.826259\n", + "25% 85.427665\n", + "50% 130.904380\n", + "75% 157.767491\n", + "max 234.052332\n", + "dtype: float64\n", + "YR desc: count 10.000000\n", + "mean 310.925704\n", + "std 99.921029\n", + "min 178.947755\n", + "25% 256.190190\n", + "50% 310.271347\n", + "75% 345.613764\n", + "max 463.605463\n", + "dtype: float64\n", + "CB desc: count 100.000000\n", + "mean 499.233552\n", + "std 287.925346\n", + "min 72.332972\n", + "25% 301.062253\n", + "50% 435.093907\n", + "75% 642.105859\n", + "max 1457.064519\n", + "dtype: float64\n", + "MG desc: count 8.000000\n", + "mean 641.299319\n", + "std 49.745900\n", + "min 562.914670\n", + "25% 628.875112\n", + "50% 660.606167\n", + "75% 673.030374\n", + "max 681.070272\n", + "dtype: float64\n", + "CR desc: count 52.000000\n", + "mean 370.684493\n", + "std 276.803864\n", + "min 10.331470\n", + "25% 142.607399\n", + "50% 306.581752\n", + "75% 550.048414\n", + "max 1018.766924\n", + "dtype: float64\n", + "AR desc: count 2.00000\n", + "mean 96.38357\n", + "std 0.00000\n", + "min 96.38357\n", + "25% 96.38357\n", + "50% 96.38357\n", + "75% 96.38357\n", + "max 96.38357\n", + "dtype: float64\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TR desc: count 2.000000\n", + "mean 167.846333\n", + "std 0.000000\n", + "min 167.846333\n", + "25% 167.846333\n", + "50% 167.846333\n", + "75% 167.846333\n", + "max 167.846333\n", + "dtype: float64\n", + "HR desc: count 24.000000\n", + "mean 37.916627\n", + "std 22.290333\n", + "min 11.438525\n", + "25% 20.954293\n", + "50% 36.956834\n", + "75% 43.505453\n", + "max 94.740233\n", + "dtype: float64\n", + "IP desc: count 6.000000\n", + "mean 2611.258667\n", + "std 2369.964493\n", + "min 138.270568\n", + "25% 675.596074\n", + "50% 2287.572593\n", + "75% 4627.842778\n", + "max 5407.932839\n", + "dtype: float64\n", + "CC desc: count 2.00000\n", + "mean 318.83418\n", + "std 0.00000\n", + "min 318.83418\n", + "25% 318.83418\n", + "50% 318.83418\n", + "75% 318.83418\n", + "max 318.83418\n", + "dtype: float64\n", + "Gasoline desc: count 493.000000\n", + "mean 1914.311372\n", + "std 1394.336626\n", + "min 22.705277\n", + "25% 605.480544\n", + "50% 1821.669408\n", + "75% 2891.790824\n", + "max 5857.104086\n", + "Name: Gasoline (Wh/pkm), dtype: float64\n", + "Diesel desc: count 523.000000\n", + "mean 1355.205104\n", + "std 1056.901740\n", + "min 9.878013\n", + "25% 721.830275\n", + "50% 1036.612635\n", + "75% 1684.409214\n", + "max 8319.547758\n", + "Name: Diesel (Wh/pkm), dtype: float64\n", + "LPG desc: count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: LPG (Wh/pkm), dtype: float64\n", + "CNG desc: count 177.000000\n", + "mean 489.621945\n", + "std 465.130928\n", + "min 56.755805\n", + "25% 212.754835\n", + "50% 327.512758\n", + "75% 604.037511\n", + "max 3304.770459\n", + "Name: CNG (Wh/pkm), dtype: float64\n", + "Hydrogen desc: count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: Hydrogen (Wh/pkm), dtype: float64\n", + "Electric desc: count 130.000000\n", + "mean 353.289643\n", + "std 577.998600\n", + "min 0.258857\n", + "25% 110.279644\n", + "50% 211.510176\n", + "75% 373.127772\n", + "max 5407.932839\n", + "Name: Electric (Wh/pkm), dtype: float64\n", + "Other desc: count 5.000000\n", + "mean 1777.210770\n", + "std 1450.198425\n", + "min 4.176577\n", + "25% 1115.913129\n", + "50% 1652.359539\n", + "75% 2179.009547\n", + "max 3934.595060\n", + "Name: Other (Wh/pkm), dtype: float64\n", + "All Fuels desc: count 951.000000\n", + "mean 1425.945454\n", + "std 1264.526422\n", + "min 11.438525\n", + "25% 460.418979\n", + "50% 967.709298\n", + "75% 2154.984285\n", + "max 8319.547758\n", + "Name: All Fuels (Wh/pkm), dtype: float64\n" + ] + }, + { 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6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" + ] + }, + { + "data": { + "image/png": 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V6/rvf/9rmEwm47XXXrNo//jx44Yko2jRosaVK1fM5ePHjzckGTVr1jQSEhLM5b169TKcnZ2Nmzdvpvs8Xb9+PUXZZ599ZkgyNm/ebC5Lfj+uWLHCom61atUs3mPJXnvtNcPd3d04dOiQRfm4ceMMR0dH4+TJkxbX5eXlZZw/fz7dWJNJMhwcHIy//vrLonzgwIFGiRIljH/++cei/MknnzS8vb3N15p8LQ899JDFa9OrVy/DZDIZbdu2tTi+YcOGFp+NPXv2GJKMQYMGWdRLfh9t3LjRMAzDuHr1quHi4mK88MILFvVmzZplmEwm48SJE+ayez/Dye+fFi1aGElJSeby559/3nB0dDS/B86ePWs4OTkZnTt3tjjH5MmTDUmpfi/cLaOf8+TXKbXvDkkW7/3Zs2cbkozjx4+nqHvvdSa/FpGRkYZhGEZSUpJRoUIFo3Xr1hbXff36dSMwMNBo2bKluSz5M9qrVy+Lc1y+fNmQZMyePTvda8+ozHwXN2zY0GjQoIHF8V999ZXFNaalX79+hiRj+vTpFtfi6upqmEwm4/PPPzeXHzhwIMXzPmrUKEOSsWXLFnPZv//+awQGBhoBAQFGYmKiYRj/+85dvny5uV5cXJwRFBSU5dcCsDZyNnI2craUyNnI2cjZ0mernC2tf6My+v3+8ccfGw4ODhY5m2EYxqJFiwxJxrZt2+7b5t0uXLiQ4rVN1qtXL6NkyZLmPNAwDGP37t0p3iPJ/+bNmTPHXHbr1i2jVq1aRrFixcyfv8zEnp24/TMH8/DwSHdFqeT7pr/++ussTxDr4uKi/v37Z7h+3759LeaM6N69u0qUKKEffvghS+fPqB9++EGOjo4aMWKERfkLL7wgwzC0evVqi/IWLVpY9NLXqFFDXl5eOnbs2H3P4+fnp169epnLChQooBEjRig2NlY//fRTluJv0qSJxTwc27ZtM//C27hxY50/f16HDx827wsMDFTJkiVTtPPMM89YbD/66KO6ePGirl27Zi77888/dfLkyVTn5hgyZIjFvAvPPvusnJycUn39Zs2apZEjR2rmzJl65ZVXUr2uJ554wmIi3wYNGkiS+vTpIycnJ4vy+Ph485DetNz9y/nNmzf1zz//6JFHHpEk7d69O91j07NixQo9+uijKlSokP755x/zo0WLFkpMTNTmzZst6nfr1i1Tv4w99thjqlq1qnnbMAx9+eWX6tChgwzDsDhn69atdfXq1RTX07dvX4vXpkGDBjIMw/xLzN3lp06d0u3btyXJ/NqNHj3aol7yr+jJt9t5eXmpbdu2Wr58ucWw/IiICD3yyCMqU6bMfa9zyJAhFr+OP/roo0pMTNSJEyck3bmF5fbt2xo2bJjFcc8999x9206+lsx8zrPbnj17dPjwYT311FO6ePGi+TWMi4tT8+bNtXnz5hTfvfd+Rl1dXeXs7KxNmzZl6LadjMrId3Hfvn3166+/6ujRo+ayZcuWyd/fP9UV7FJz96TSPj4+qlSpktzd3dWjRw9zeaVKleTj42Px/frDDz+ofv36FqM3PDw8NGTIEEVHR5tvz/nhhx9UokQJde/e3VzPzc1NQ4YMsYgjK68FYEvkbP9DznYHOVvWkLORs2UFOVvWrVixQlWqVFHlypUt3v/NmjWTJEVGRlrtXH379tWZM2cs2ly2bJlcXV3VrVs3i7pOTk4aOnSoedvZ2VlDhw7V+fPnzd/Ptow9PXSq5WCxsbHpTnras2dPNW7cWIMGDVLx4sX15JNPavny5ZlK1kqVKpWpyW0rVKhgsW0ymRQUFPRA95lnxIkTJ1SyZMkUz0eVKlXM+++W2j82hQoVuu8X5IkTJ1ShQoUUk16mdZ6MunuODsMw9PPPP6tx48aSpIceekheXl7atm2bbt68qd9++y3V2wiklNdVqFAhSbK4ru+//17Fixe3mG8h2b2vn4eHh0qUKJHi9fvpp580duxYjR071jy/QUbiSU7W/P39Uy2/3/N/6dIljRw5UsWLF5erq6uKFi1qvp3s6tWr6R6bnsOHD2vNmjUqWrSoxSN5hZzkCT6TJZ8zo+6tf+HCBV25ckXvvfdeinMm/w/RvefMzHOZlJRkfj5OnDghBwcHBQUFWdTz8/OTj4+PxXu2Z8+eOnXqlLZv3y7pzopcv/32m3r27Jmh67zf+y/5XPfGUrhwYXPd9GT2c57dkv+nqV+/filexw8++EC3bt1K8b68973g4uKimTNnavXq1SpevLj5VsqzZ88+UGwZ+S7u2bOnXFxctGzZMkl3PkPfffedevfuneatQ3crWLBgiv9R8fb2VunSpVMc7+3tbfH5PnHihCpVqpSizXtfyxMnTigoKChFe/cem5XXArAlcrb/IWe7g5wta8jZ7iBny5z8nrM9iMOHD+uvv/5K8bxVrFhRUsr3/4No2bKlSpQoYb7OpKQkffbZZ+rUqVOK91LJkiXl7u5uUZYcU/JzZ8vY08OcajnU6dOndfXq1RRfdHdzdXXV5s2bFRkZqe+//15r1qxRRESEmjVrpnXr1snR0fG+58nMnBoZldYHPzExMUMxWUNa57n71x5bqlmzpjw9PbV161a1a9dOly5dMv/q6eDgoAYNGmjr1q0qX7684uPj00zQMnJdP/zwg9q0afNAX8DVqlXTlStX9PHHH2vo0KFpJixpxZPV579Hjx76+eefNWbMGNWqVUseHh5KSkpSmzZtHmgUSlJSklq2bKmXXnop1f3JX7zJMvu5uLd+cqx9+vQxTx56rxo1alhsP+hzmZHXu0OHDnJzc9Py5cvVqFEjLV++XA4ODnriiSfue2xmYslu6X3HWFPy6zh79mzVqlUr1ToeHh4W26m9d0aNGqUOHTpo1apVWrt2rV599VXNmDFDGzduTDGnhDUVKlRI7du317JlyzRx4kR98cUXunXrlvr06ZOh4639+X4QWXktAFshZ3swOeXflmTkbCnjTA05W0rkbCmRs2XMg+Zsqcno93tSUpKqV6+ut956K9X693YWPwhHR0c99dRTev/997VgwQJt27ZNZ86cyfJ12jL29NCplkN9/PHHkqTWrVunW8/BwUHNmzdX8+bN9dZbb2n69Ol6+eWXFRkZqRYtWli9Zzv5V4BkhmHoyJEjFv/YFCpUSFeuXElx7IkTJyxWsslMbGXLltWPP/6of//916IX+8CBA+b91lC2bFnt27dPSUlJFr98Puh5HB0d9cgjj2jbtm3aunWrvLy8VL16dfP+Ro0aKSIiwpyQp5Wg3c+VK1f0888/W0xyebfDhw8rODjYvB0bG6uYmBi1a9fOol6RIkX0xRdfqEmTJmrevLm2bt2a6q0N1nT58mVt2LBBU6ZMsZjQ9d73XHrSek+VL19esbGx5l85s1vRokXl6empxMTEbD9n2bJllZSUpMOHD5t/HZTuTBR/5coVi/esu7u72rdvrxUrVuitt95SRESEHn30Uau9tsnnOnLkiEVSf/HixQwNo8/o5zz5F9R7v2dS+1X0Qb4Dk29H8vLyeuDXsXz58nrhhRf0wgsv6PDhw6pVq5bmzJljsVpgZmTku1i6M8y+U6dO2rlzp3li2GrVqmX5OjKqbNmyOnjwYIrye1/LsmXL6s8//5RhGBav1b3HWvO1AKyNnM0SOVvGkLORsyUjZ7uDnM26OVtGv9/Lly+vvXv3qnnz5lb5d+h+bfTt21dz5szRt99+q9WrV6to0aKp/vt55swZxcXFWYxWO3TokCSZF42wduxZxe2fOdDGjRv12muvKTAwUL17906zXmrLXSf3zCcvIZv8JkztA5UVH330kcWcIV988YViYmLMy4BLd97cv/zyi+Lj481l3333XYpl3DMTW7t27ZSYmKj58+dblM+dO1cmk8ni/A+iXbt2Onv2rMXKOLdv39Y777wjDw+PB7qnvUmTJrpw4YKWLFmiBg0aWCSAjRo10sGDB/X111/L19fX4h/azFi3bp0kqVWrVqnuf++995SQkGDeXrhwoW7fvp3q81e6dGn9+OOPunHjhlq2bGmxRHp2SP7F5N5f0O5d5Sk97u7uqb6fevTooe3bt2vt2rUp9l25csU814W1ODo6qlu3bvryyy/1559/ptif2pLZWZWcXN/7PCX/YnPvPC09e/bUmTNn9MEHH2jv3r0Zvo0gI5o3by4nJyctXLjQovzez21aMvo59/LyUpEiRVLMq7JgwYIUbT7Id2DdunVVvnx5vfnmm4qNjU2xPyOv4/Xr11OsolW+fHl5eno+0FLfGfkulqS2bduqSJEimjlzpn766acH+sUzM9q1a6cdO3aYb1uRpLi4OL333nsKCAgwz2fTrl07nTlzRl988YW53vXr1/Xee+9ZtGeN1wLIDuRsKZGzZQw5GzlbMnK2O8jZrJuzZfT7vUePHvr777/1/vvvp2jjxo0biouLy9R53dzcJKX9OtaoUUM1atTQBx98oC+//FJPPvmkxbyOyW7fvq13333XvB0fH693331XRYsWVd26dbMl9qxipJqdrV69WgcOHNDt27d17tw5bdy4UevXr1fZsmX1zTffpLl8riRNnTpVmzdv1uOPP66yZcvq/PnzWrBggUqXLm3+1ax8+fLy8fHRokWL5OnpKXd3dzVo0CDT8w8kK1y4sJo0aaL+/fvr3LlzmjdvnoKCgiyWkB80aJC++OILtWnTRj169NDRo0f1ySefpFjeNzOxdejQQcHBwXr55ZcVHR2tmjVrat26dfr66681atSoTC8dnJYhQ4bo3XffVUhIiH777TcFBAToiy++0LZt2zRv3rx050u5n+TXZPv27Zo8ebLFvuRlvH/55Rd16NAhyz3t33//vZo0aWIxEe3d4uPj1bx5c/Xo0UMHDx7UggUL1KRJE3Xs2DHV+kFBQVq3bp2aNm2q1q1ba+PGjfLy8spSbPfj5eVlnrsgISFBpUqV0rp163T8+PEMt1G3bl0tXLhQ06ZNU1BQkIoVK6ZmzZppzJgx+uabb9S+fXuFhISobt26iouL0x9//KEvvvhC0dHR5qW7reWNN95QZGSkGjRooMGDB6tq1aq6dOmSdu/erR9//DHV/8HKipo1a6pfv3567733dOXKFT322GPasWOHli5dqs6dO1v8yi3dSYI8PT314osvmhNJaylevLhGjhypOXPmqGPHjmrTpo327t2r1atXq0iRIvd9X2fmcz5o0CC98cYbGjRokOrVq6fNmzebf726W/I/ui+//LKefPJJFShQQB06dEgxR0NqHBwc9MEHH6ht27aqVq2a+vfvr1KlSunvv/9WZGSkvLy89O2336bbxqFDh8yfuapVq8rJyUkrV67UuXPn9OSTT5rrhYeHq3///lqyZIlCQkLuG1tGvoulO5N2P/nkk5o/f74cHR0tJvTOTuPGjdNnn32mtm3basSIESpcuLCWLl2q48eP68svvzT/D+rgwYM1f/589e3bV7/99ptKlCihjz/+2JyQJbPGawE8KHI2cjaJnE0iZ8sqcjZyNlvmbBn9fn/66ae1fPlyPfPMM4qMjFTjxo2VmJioAwcOaPny5Vq7dm2q8z6mxdXVVVWrVlVERIQqVqyowoUL66GHHtJDDz1krtO3b1+9+OKLkpRm52HJkiU1c+ZMRUdHq2LFioqIiNCePXv03nvvmRcKsXbsWZb9C4wiNclL3yY/nJ2dDT8/P6Nly5bGf//7X4tld5Pduzz7hg0bjE6dOhklS5Y0nJ2djZIlSxq9evVKsQT1119/bVStWtVwcnKyWK72scceM6pVq5ZqfGktz/7ZZ58Z48ePN4oVK2a4uroajz/+uMWyzsnmzJljlCpVynBxcTEaN25s7Nq1K0Wb6cV27/LshmEY//77r/H8888bJUuWNAoUKGBUqFDBmD17tsWyyYZxZ3nm0NDQFDFlZAlgwzCMc+fOGf379zeKFCliODs7G9WrV091GejMLM9uGIYRFxdnvs5169al2F+jRg1DkjFz5swU+5Jf+wsXLliUJ7+Pjh8/biQlJRnFihUzZs2aleL45Ho//fSTMWTIEKNQoUKGh4eH0bt3b+PixYv3va5ff/3V8PT0NP7zn/8Y169fNy+Pfe+S02ktm57WUs/3On36tNGlSxfDx8fH8Pb2Np544gnjzJkzKZZlTus8Z8+eNR5//HHD09PTkGTxfvv333+N8ePHG0FBQYazs7NRpEgRo1GjRsabb75pXpY5retKT1rvN8O4814KDQ01/P39jQIFChh+fn5G8+bNjffee+++15LWc5baeyEhIcGYMmWKERgYaBQoUMDw9/c3xo8fb9y8eTPVuHr37m1ebj01aS3Pfm8s9y5nbhiGcfv2bePVV181/Pz8DFdXV6NZs2bG/v37DV9fX+OZZ55J9Xx3y+jn/Pr168bAgQMNb29vw9PT0+jRo4dx/vz5VJfwfu2114xSpUoZDg4OFku132959mS///670bVrV8PX19dwcXExypYta/To0cPYsGGDuU5an9F//vnHCA0NNSpXrmy4u7sb3t7eRoMGDYzly5db1HvnnXcMScaaNWvSfX4y+11sGIaxY8cOQ5LRqlWrdNu+W79+/Qx3d/cU5Wn9u5Ha98bRo0eN7t27Gz4+PkbBggWN+vXrG999912KY0+cOGF07NjRcHNzM4oUKWKMHDnSWLNmTZZfC8DayNnSj42czRI5GzlbMnK2O8jZsjdnS+8zm9Hv9/j4eGPmzJlGtWrVDBcXF6NQoUJG3bp1jSlTphhXr14118vod/PPP/9s1K1b13B2dk71dY6JiTEcHR2NihUrpnp88r95u3btMho2bGgULFjQKFu2rDF//vwUdTMae3YyGYadZgEFYFU7duxQgwYN9Ndff1ksFS797xeVnTt32qa3HrjLlStXVKhQIU2bNk0vv/yyvcPJkXr06KHo6Gjt2LHD6m3v3btXtWrV0kcffaSnn37a6u0DADKHnA05FTnb/ZGzPbh//vlHJUqU0MSJE/Xqq6+m2N+0aVP9888/qd6SnRNx+yeQh0yfPj1FcgbY0o0bN1KsppQ8d0jTpk1tH1AuYBiGNm3alOUJcO/n/fffl4eHh7p27Zot7QMAMo+cDfZGzpZ55GzWER4ersTExDzTcUinGpBH1K9fX/Xr17d3GMjnIiIiFB4ernbt2snDw0Nbt27VZ599platWqlx48b2Di9HMplMOn/+vNXb/fbbbxUVFaX33ntPw4cPz9CcJACA7EfOhpyAnC3zyNkezMaNGxUVFaXXX39dnTt3Nq/imdvRqQYAsJoaNWrIyclJs2bN0rVr18wT4U6bNs3eoeU7zz33nM6dO6d27dppypQp9g4HAADkIORsOUd+ydmmTp2qn3/+WY0bN9Y777xj73CshjnVAAAAAAAAgExysHcAAAAAAAAAQG5DpxoAAAAAAACQSfl+TrWkpCSdOXNGnp6eMplM9g4HAADkAoZh6N9//1XJkiXl4MBvlDkVeR4AAMiszOR5+b5T7cyZM/L397d3GAAAIBc6deqUSpcube8wkAbyPAAAkFUZyfPyfaeap6enpDtPlpeXl52jAQAAucG1a9fk7+9vziOQM5HnAQCAzMpMnpfvO9WSbwXw8vIi2QIAAJnCLYU5G3keAADIqozkefl2EpCwsDBVrVpVDz/8sL1DAQAAAAAAQC6TbzvVQkNDFRUVpZ07d9o7FAAAAAAAAOQy+bZTDQAAAAAAAMiqfD+nGgAA+ZlhGLp9+7YSExPtHUqO4ujoKCcnJ+ZMAwAAZomJiUpISLB3GHhA1szz6FQDACCfio+PV0xMjK5fv27vUHIkNzc3lShRQs7OzvYOBQAA2FlsbKxOnz4twzDsHQqswFp5Hp1qAADkQ0lJSTp+/LgcHR1VsmRJOTs7Myrr/xmGofj4eF24cEHHjx9XhQoV5ODAjBkAAORXiYmJOn36tNzc3FS0aFFyplzM2nkenWoAAORD8fHxSkpKkr+/v9zc3OwdTo7j6uqqAgUK6MSJE4qPj1fBggXtHRIAALCThIQEGYahokWLytXV1d7h4AFZM8/jZ1cAAPIxRmCljecGAADcjRFqeYe18jyyRQAAAAAAACCT6FQDAAAAAAAAMolONQAAAAAAAGSbpk2batSoUebtgIAAzZs3z27xWAsLFQAAAAtz1x+y6fmeb1kxU/VDQkK0dOlSSZKTk5MKFy6sGjVqqFevXgoJCTHPkREQEKATJ05IujMhbfny5TVy5EgNGjTIuhcAAADypZyeMyU7e/asZsyYoe+//16nT5+Wt7e3goKC1KdPH/Xr188ui1bt3LlT7u7uNj+vtTFSDQAA5Dpt2rRRTEyMoqOjtXr1agUHB2vkyJFq3769bt++ba43depUxcTE6M8//1SfPn00ePBgrV692o6RAwAA2M6xY8dUu3ZtrVu3TtOnT9fvv/+u7du366WXXtJ3332nH3/80S5xFS1aNE+sQE+nGgAAyHVcXFzk5+enUqVKqU6dOpowYYK+/vprrV69WuHh4eZ6np6e8vPzU7ly5TR27FgVLlxY69evt1/gAAAANjRs2DA5OTlp165d6tGjh6pUqaJy5cqpU6dO+v7779WhQwdJ0ltvvaXq1avL3d1d/v7+GjZsmGJjY83tnDhxQh06dFChQoXk7u6uatWq6YcffjDv/+mnn1S/fn25uLioRIkSGjdunMUPnfe69/ZPk8mkDz74QF26dJGbm5sqVKigb775xuKYP//8U23btpWHh4eKFy+up59+Wv/884+Vnqms4fZPIA9Jb/hxVocKA0Bu0axZM9WsWVNfffVVils8k5KStHLlSl2+fFnOzs52ihD5WWRkZIbqBQcHZ3MkAID84uLFi+YRamndamkymSRJDg4OevvttxUYGKhjx45p2LBheumll7RgwQJJUmhoqOLj47V582a5u7srKipKHh4ekqS///5b7dq1U0hIiD766CMdOHBAgwcPVsGCBTV58uQMxztlyhTNmjVLs2fP1jvvvKPevXvrxIkTKly4sK5cuaJmzZpp0KBBmjt3rm7cuKGxY8eqR48e2rhx44M9UQ+AkWoAACDPqFy5sqKjo83bY8eOlYeHh1xcXNS9e3cVKlSIOdUAAEC+cOTIERmGoUqVKlmUFylSRB4eHvLw8NDYsWMlSaNGjVJwcLACAgLUrFkzTZs2TcuXLzcfc/LkSTVu3FjVq1dXuXLl1L59e/3nP/+RJC1YsED+/v6aP3++KleurM6dO2vKlCmaM2eOkpKSMhxvSEiIevXqpaCgIE2fPl2xsbHasWOHJGn+/PmqXbu2pk+frsqVK6t27dr68MMPFRkZqUOHbDu33d0YqQbYESPLAMC6DMMw/+IqSWPGjFFISIhiYmI0ZswYDRs2TEFBQXaMEAAAwL527NihpKQk9e7dW7du3ZIk/fjjj5oxY4YOHDiga9eu6fbt27p586auX78uNzc3jRgxQs8++6zWrVunFi1aqFu3bqpRo4Ykaf/+/WrYsKFFDta4cWPFxsbq9OnTKlOmTIbiSm5Pktzd3eXl5aXz589Lkvbu3avIyEjz6Li7HT16VBUr2uf/nxmpBgAA8oz9+/crMDDQvF2kSBEFBQXp0Ucf1YoVKzRixAhFRUXZMUIAAADbCAoKkslk0sGDBy3Ky5Urp6CgILm6ukqSoqOj1b59e9WoUUNffvmlfvvtN4WFhUmS4uPjJUmDBg3SsWPH9PTTT+uPP/5QvXr19M4771g13gIFClhsm0wm80i32NhYdejQQXv27LF4HD582Dxizh7oVAMAAHnCxo0b9ccff6hbt26p7vf391fPnj01fvx4G0cGAABge76+vmrZsqXmz5+vuLi4NOv99ttvSkpK0pw5c/TII4+oYsWKOnPmTIp6/v7+euaZZ/TVV1/phRde0Pvvvy9JqlKlirZv3y7DMMx1t23bJk9PT5UuXdoq11KnTh399ddfCggIUFBQkMUjrfnibIFONQAAkOvcunVLZ8+e1d9//63du3dr+vTp6tSpk9q3b6++ffumedzIkSP17bffateuXTaMFgAAwD4WLFig27dvq169eoqIiND+/ft18OBBffLJJzpw4IAcHR0VFBSkhIQEvfPOOzp27Jg+/vhjLVq0yKKdUaNGae3atTp+/Lh2796tyMhIValSRdKdFUZPnTql5557TgcOHNDXX3+tSZMmafTo0XJwsE63U2hoqC5duqRevXpp586dOnr0qNauXav+/fsrMTHRKufICuZUAwAAFnLDnI5r1qxRiRIl5OTkpEKFCqlmzZp6++231a9fv3STt6pVq6pVq1aaOHGixTLwAAAAmZUbcqby5cvr999/1/Tp0zV+/HidPn1aLi4uqlq1ql588UUNGzZMbm5ueuuttzRz5kyNHz9e//nPfzRjxgyLHyoTExMVGhqq06dPy8vLS23atNHcuXMlSaVKldIPP/ygMWPGqGbNmipcuLAGDhyoV155xWrXUbJkSW3btk1jx45Vq1atdOvWLZUtW1Zt2rSxWsddVpiMu8fn5SNhYWEKCwtTYmKiDh06pKtXr8rLy8veYeVqC/bcWWp3WK1hdo4k97D2QgUsfAAgo27evKnjx48rMDBQBQsWtHc4OVJ6z9G1a9fk7e1N/pDD5aTXKTIyMkP1goODszkSAEBmkTflPdbK8/Lt7Z+hoaGKiorSzp077R0KAAAAAAAAcpl826kGSwv2LDCPNLNGPQAAAAAAgLyMTjUAAAAAAAAgk+hUAwAAAAAAADKJTjUAAADkSKdOnVLTpk1VtWpV1ahRQytWrLB3SAAAAGZO9g4AAAAASI2Tk5PmzZunWrVq6ezZs6pbt67atWsnd3d3e4cGAABApxoAAAByphIlSqhEiRKSJD8/PxUpUkSXLl2iUw0AAOQI3P4JAACAbLF582Z16NBBJUuWlMlk0qpVq1LUCQsLU0BAgAoWLKgGDRpox44dqbb122+/KTExUf7+/tkcNQAAQMbQqQYAAIBsERcXp5o1ayosLCzV/RERERo9erQmTZqk3bt3q2bNmmrdurXOnz9vUe/SpUvq27ev3nvvvXTPd+vWLV27ds3iAQAAkF24/TMHWrBngSRpWK1hdo7k/pJjhW3NXX/I3iEAyMsiZ9j2fMHjbXs+2Ezbtm3Vtm3bNPe/9dZbGjx4sPr37y9JWrRokb7//nt9+OGHGjdunKQ7HWWdO3fWuHHj1KhRo3TPN2PGDE2ZMsV6FwAAQHrySM5kMpm0cuVKde7cOVvat/f5shMj1QAAQK4SEhIik8mU4nHkyJEU+3x9fdWmTRvt27fP3mHjHvHx8frtt9/UokULc5mDg4NatGih7du3S5IMw1BISIiaNWump59++r5tjh8/XlevXjU/Tp06lW3xAwCQ092dFxUoUEDFixdXy5Yt9eGHHyopKclcLyYmJt0fwZA2OtXyoQV7FjDCDACQq7Vp00YxMTEWj8DAwBT7NmzYICcnJ7Vv397OEeNe//zzjxITE1W8eHGL8uLFi+vs2bOSpG3btikiIkKrVq1SrVq1VKtWLf3xxx9ptuni4iIvLy+LBwAA+VlyXhQdHa3Vq1crODhYI0eOVPv27XX79m1JdxYDcnFxsXOkuROdagAAINdxcXGRn5+fxcPR0THFvlq1amncuHE6deqULly4YOeokVlNmjRRUlKS9uzZY35Ur17d3mEBAJBrJOdFpUqVUp06dTRhwgR9/fXXWr16tcLDwyUpxWJCp06dUo8ePeTj46PChQurU6dOio6ONu/ftGmT6tevL3d3d/n4+Khx48Y6ceKEef/XX3+tOnXqqGDBgipXrpymTJli7sDLa+hUAwAAeVZsbKw++eQTBQUFydfX197h4C5FihSRo6Ojzp07Z1F+7tw5+fn52SkqAADyvmbNmqlmzZr66quvUuxLSEhQ69at5enpqS1btmjbtm3y8PBQmzZtFB8fr9u3b6tz58567LHHtG/fPm3fvl1DhgyRyWSSJG3ZskV9+/bVyJEjFRUVpXfffVfh4eF6/fXXbX2ZNsFCBUAOxWIEAJC27777Th4eHubttm3basWKFSn2xcXFqUSJEvruu+/k4MBviTmJs7Oz6tatqw0bNpgnKk5KStKGDRs0fPhw+wYHAEAeV7ly5VTnnI2IiFBSUpI++OADc0fZkiVL5OPjo02bNqlevXq6evWq2rdvr/Lly0uSqlSpYj5+ypQpGjdunPr16ydJKleunF577TW99NJLmjRpkg2uzLboVAMAALlOcHCwFi5caN52d3dPdd/ly5e1YMECtW3bVjt27FDZsmVtHmt+FhsbqyNHjpi3jx8/rj179qhw4cIqU6aMRo8erX79+qlevXqqX7++5s2bp7i4OPNqoAAAIHsYhmHuNLvb3r17deTIEXl6elqU37x5U0ePHlWrVq0UEhKi1q1bq2XLlmrRooV69OihEiVKmI/ftm2bxci0xMRE3bx5U9evX5ebm1v2XpiN0akGAAByHXd3dwUFBWVo3wcffCBvb2+9//77mjZtmq1ChKRdu3YpODjYvD169GhJUr9+/RQeHq6ePXvqwoULmjhxos6ePatatWppzZo1KRYvAAAA1rV//37zIk93i42NVd26dbVs2bIU+4oWLSrpzsi1ESNGaM2aNYqIiNArr7yi9evX65FHHlFsbKymTJmirl27pji+YMGC1r8QO6NTDRbuXhV0WK1hdowE1pbV20mfb1nRypEAgG2ZTCY5ODjoxo0b9g4l32natKkMw0i3zvDhw61+u2dYWJjCwsKUmJho1XYBAMgLNm7cqD/++EPPP/98in116tRRRESEihUrlu4q2rVr11bt2rU1fvx4NWzYUJ9++qkeeeQR1alTRwcPHkzzx8+8hslFAABAnnLr1i2dPXtWZ8+e1f79+/Xcc88pNjZWHTp0sHdosJHQ0FBFRUVp586d9g4FAAC7Ss6L/v77b+3evVvTp09Xp06d1L59e/Xt2zdF/d69e6tIkSLq1KmTtmzZouPHj2vTpk0aMWKETp8+rePHj2v8+PHavn27Tpw4oXXr1unw4cPmedUmTpyojz76SFOmTNFff/2l/fv36/PPP9crr7xi60u3CUaqAQAAS8Hj7R3BA1mzZo15Xg9PT09VrlxZK1asUNOmTe0bGAAAyFtyQc6UnBc5OTmpUKFCqlmzpt5++23169cv1UWc3NzctHnzZo0dO1Zdu3bVv//+q1KlSql58+by8vLSjRs3dODAAS1dulQXL15UiRIlFBoaqqFDh0qSWrdure+++05Tp07VzJkzVaBAAVWuXFmDBg2y9aXbBJ1qyJK7bxPNydK65ZFbGgEg9woPD093X3r7AQAA8ouM5kX3TtXg5+enpUuXplrXy8tLK1euTLe91q1bq3Xr1hk+X25GpxoAAACQT0VGRmao3t0LTgAAgDuYUw0AAAAAAADIJEaqAQAAAHlQRkehAQCArGGkGgAAAAAAAJBJdKoBAAAAAAAAmZRvb/8MCwtTWFiYEhMT7R1KhiSvtjms1jCrtwkAAJCX5LY8DwAA5E75tlMtNDRUoaGhunbtmry9ve0dDgAAAKwkN+d5GZkHjZU4AQDIGbj9EwAAAAAAAMikfDtSLbfK6G2g2XG7KPKnuesPpVr+fMuKNo4EAAAAAICcg041AABgwdZzbvIDEAAAyI3ImcDtnwAAIFcJCQmRyWTSM888k2JfaGioTCaTQkJCLOomP3x9fdWmTRvt27fPxlEDAADYVkhIiDp37pzqvoCAAHN+5O7urjp16mjFihUWda5du6ZXX31V1apVk6urq3x9ffXwww9r1qxZunz5sg2uIOdjpBokSduPXkyl7DU1LO9rh2iyX1q3NErc1ggAuYG/v78+//xzzZ07V66urpKkmzdv6tNPP1WZMmUs6rZp00ZLliyRJJ09e1avvPKK2rdvr5MnT9o8bgAAgJxi6tSpGjx4sK5du6Y5c+aoZ8+eKlWqlBo1aqRLly6pSZMmunbtml577TXVrVtX3t7eOnjwoJYsWaJPP/1UoaGh9r4Eu6NTDQAA5Dp16tTR0aNH9dVXX6l3796SpK+++kplypRRYGCgRV0XFxf5+flJkvz8/DRu3Dg9+uijunDhgooWLWrz2AEAAHICT09P+fn5yc/PT2FhYfrkk0/07bffqlGjRpowYYJOnjypQ4cOqWTJkuZjypYtq1atWskwDDtGnnNw+ycAAMiVBgwYYB6BJkkffvih+vfvn+4xsbGx+uSTTxQUFCRf37w5GhsAACCznJycVKBAAcXHxyspKUkRERHq06ePRYfa3Uwmk40jzJnoVAMAALlSnz59tHXrVp04cUInTpzQtm3b1KdPnxT1vvvuO3l4eMjDw0Oenp765ptvFBERIQcH0qC8KiwsTFWrVtXDDz9s71AAAMjx4uPjNWPGDF29elXNmjXThQsXdOXKFVWqVMmiXt26dc05Va9evewUbc7C7Z85xIOsGpJ8LCuBZD/mYgOAnKNo0aJ6/PHHFR4eLsMw9Pjjj6tIkSIp6gUHB2vhwoWSpMuXL2vBggVq27atduzYobJly9o6bNhAaGioQkNDde3aNXl7e9s7HKuLjIy0XmPRWzNYMdh65wQA5Ahjx47VK6+8ops3b8rDw0NvvPGGHn/8cZ07dy7V+itXrlR8fLzGjh2rGzdu2DjanIlONQAAkGsNGDBAw4cPl3RndFJq3N3dFRQUZN7+4IMP5O3trffff1/Tpk2zSZwAAAA5zZgxYxQSEiIPDw8VL17cfEtn0aJF5ePjo4MHD1rUT14MytPTU1euXLF1uDkS9z0AAIBcq02bNoqPj1dCQoJat26doWNMJpMcHBz4hRUAAORrRYoUUVBQkPz8/CzmSHNwcFCPHj30ySef6MyZM3aMMOdjpFoO9iC3hOYn6d2SaUs5JQ4AyE8cHR21f/9+89+puXXrls6ePSvpzu2f8+fPV2xsrDp06GCzOAEAAOzh6tWr2rNnj0VZRhZrmj59ujZt2qT69etr6tSpqlevntzd3bV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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "../src/emcommon/resources/ntd2018_intensities.json exists but URLs have changed, will recreate\n", + "2018\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dropping 16 rows with missing UACE Code\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/857962386.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + " df = df.apply(pd.to_numeric, errors='ignore')\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_46140/2497400976.py:28: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Removing outliers\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 6.0, 'Mode': 'DR', 'UACE Code': '97507', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11113.067118725423, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11113.067118725423, 'Unlinked Passenger Trips': 69112}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': 78.1206090549862, 'Diesel (%)': 21.879390945013803, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10586.788391113618, 'Diesel (Wh/pkm)': 5117.002539938507, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9390.032560879963, 'Unlinked Passenger Trips': 455807}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 43.0, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': 19.313615480702055, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 80.68638451929795, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5794.392063614663, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2587.87804035923, 'Unlinked Passenger Trips': 54888}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 46.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': 12.167811804510757, 'Diesel (%)': 82.91341093924414, 'LPG (%)': None, 'CNG (%)': 4.918777256245104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6146.198727378309, 'Diesel (Wh/pkm)': 1437.6416507757651, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 885.8418663791017, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1983.428212269824, 'Unlinked Passenger Trips': 269167}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 376.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2794.64187695904, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2794.64187695904, 'Unlinked Passenger Trips': 110156}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8105.551988473328, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8105.551988473328, 'Unlinked Passenger Trips': 6577}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10098.0, 'Mode': 'DR', 'UACE Code': '49339', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12884.083755389069, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12884.083755389069, 'Unlinked Passenger Trips': 49103}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 54.50734680924864, 'Diesel (%)': 45.49265319075136, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3687.6904829664377, 'Diesel (Wh/pkm)': 6888.145960602369, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 57.80987712238097, 'Diesel (%)': 42.19012287761903, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8480.409476467026, 'Diesel (Wh/pkm)': 4942.24554735985, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6987.653767165117, 'Unlinked Passenger Trips': 181100}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30002.0, 'Mode': 'DR', 'UACE Code': '40753', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5808.439419361114, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5808.439419361114, 'Unlinked Passenger Trips': 36205}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30007.0, 'Mode': 'MB', 'UACE Code': '75421', 'Gasoline (%)': 0.5457824391161087, 'Diesel (%)': 99.45421756088389, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4499.609981482942, 'Diesel (Wh/pkm)': 849.5055197147626, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 869.4271488764867, 'Unlinked Passenger Trips': 1983028}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30023.0, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': 0.11380799743326644, 'Diesel (%)': 80.79626249693536, 'LPG (%)': None, 'CNG (%)': 19.08992950563138, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8820.320070101367, 'Diesel (Wh/pkm)': 1030.6227688539873, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 126.34674255886999, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 866.8624114025878, 'Unlinked Passenger Trips': 798836}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 24.051226235968002, 'Diesel (%)': 75.948773764032, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12339.037521713153, 'Diesel (Wh/pkm)': 2822.231994802768, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': 15.423117925496122, 'Diesel (%)': 80.73840997364256, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8384721008613156, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2668.8434518135027, 'Diesel (Wh/pkm)': 1576.7681647442691, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 230.98210223983403, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1693.5426015576447, 'Unlinked Passenger Trips': 676178}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1998.8523367002883, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1998.8523367002883, 'Unlinked Passenger Trips': 1357102}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30081.0, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 748615.0311372413, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 748615.0311372413, 'Unlinked Passenger Trips': 13267}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': 58.591875499866696, 'Diesel (%)': 41.4081245001333, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5799.896030410843, 'Diesel (Wh/pkm)': 12780.33638603924, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30096.0, 'Mode': 'DR', 'UACE Code': '78364', 'Gasoline (%)': 3.509374003147597, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 96.4906259968524, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 27976.149222301876, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2243.368717697657, 'Unlinked Passenger Trips': 50174}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30096.0, 'Mode': 'MB', 'UACE Code': '78364', 'Gasoline (%)': 3.252388495417508, 'Diesel (%)': 31.534019719505014, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 65.21359178507748, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4770.394932233527, 'Diesel (Wh/pkm)': 932.708842450257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 585.6778457193153, 'Unlinked Passenger Trips': 277371}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30111.0, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': 3.171284099717795, 'Diesel (%)': 96.8287159002822, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4254.593432416648, 'Diesel (Wh/pkm)': 1190.9331873497686, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1288.0905575709496, 'Unlinked Passenger Trips': 88802}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40041.0, 'Mode': 'DR', 'UACE Code': '86599', 'Gasoline (%)': 13.643168687558507, 'Diesel (%)': 2.7512935635154925, 'LPG (%)': None, 'CNG (%)': 83.60553774892601, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9355.63097386445, 'Diesel (Wh/pkm)': 6453.923543517437, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 923.7732989417871, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2226.296532758081, 'Unlinked Passenger Trips': 172054}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40044.0, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': 41.736414061461495, 'Diesel (%)': 58.26358593853851, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2617.275161765459, 'Diesel (Wh/pkm)': 1668.4975402860869, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2064.483296909204, 'Unlinked Passenger Trips': 605572}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40051.0, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6537.162696105448, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6537.162696105448, 'Unlinked Passenger Trips': 62280}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40058.0, 'Mode': 'DR', 'UACE Code': '76204', 'Gasoline (%)': 38.369417622208815, 'Diesel (%)': 61.630582377791185, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6456.441842615874, 'Diesel (Wh/pkm)': 393.08392051514, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2719.559043575253, 'Unlinked Passenger Trips': 23556}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11476.34359034371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11476.34359034371, 'Unlinked Passenger Trips': 7566}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': 14.826625468758253, 'Diesel (%)': 85.17337453124173, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3219.3785631707374, 'Diesel (Wh/pkm)': 2258.2990544845775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 1.4319517220717441, 'Diesel (%)': 98.56804827792824, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14978.330112522732, 'Diesel (Wh/pkm)': 3084.498572395536, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': 49.48745006406875, 'Diesel (%)': 50.51254993593126, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2761.411531136123, 'Diesel (Wh/pkm)': 3980.295590641411, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 44929.0, 'Mode': 'MB', 'UACE Code': '56602', 'Gasoline (%)': 13.534805935635344, 'Diesel (%)': 86.46519406436465, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3089.786635039452, 'Diesel (Wh/pkm)': 946.5226055352072, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1236.609232616885, 'Unlinked Passenger Trips': 301753}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50031.0, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.06677593802456412, 'Diesel (%)': 37.28339453558364, 'LPG (%)': 62.6498295263918, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 28420.76896999879, 'Diesel (Wh/pkm)': 3034.023973008439, 'LPG (Wh/pkm)': 3767.9036421910714, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3510.7505717858503, 'Unlinked Passenger Trips': 404441}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 32.7034781203998, 'Diesel (%)': 67.2965218796002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3372.470915609198, 'Diesel (Wh/pkm)': 2904.1064326828364, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50117.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 1.7255528125037476, 'Diesel (%)': 98.27444718749625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7620.351356327595, 'Diesel (Wh/pkm)': 1595.5443531402889, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1699.5055798317098, 'Unlinked Passenger Trips': 300587}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50154.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 37.56249921578268, 'Diesel (%)': 62.43750078421733, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7711.119572277913, 'Diesel (Wh/pkm)': 203.22179096075513, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3023.3758361897776, 'Unlinked Passenger Trips': 249133}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': 7.618859974841241, 'Diesel (%)': 92.38114002515876, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 130764.80456454691, 'Diesel (Wh/pkm)': 6031.774530098047, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50199.0, 'Mode': 'MB', 'UACE Code': '19234', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15226.807026426668, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15226.807026426668, 'Unlinked Passenger Trips': 46693}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50516.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6162.968327374853, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6879.000620670795, 'Unlinked Passenger Trips': 27514}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60008.0, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6170.23624190135, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6170.23624190135, 'Unlinked Passenger Trips': 1774466}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60056.0, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 0.4229515631531351, 'Diesel (%)': 0.8162601803711789, 'LPG (%)': None, 'CNG (%)': 98.76078825647568, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 56578.56876484522, 'Diesel (Wh/pkm)': 1750.1352972552818, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 705.3261443551193, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 950.1712584788235, 'Unlinked Passenger Trips': 356620}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60111.0, 'Mode': 'MB', 'UACE Code': '01171', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10331.822965799565, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10331.822965799565, 'Unlinked Passenger Trips': 6046}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60114.0, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 23032.357706238046, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 23032.357706238046, 'Unlinked Passenger Trips': 71545}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70001.0, 'Mode': 'DR', 'UACE Code': '49933', 'Gasoline (%)': 23.4193405150778, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 76.5806594849222, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11958.124993510259, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1165.6582009467622, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3693.1827490739024, 'Unlinked Passenger Trips': 41222}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 45.5649118472614, 'Diesel (%)': 54.43508815273861, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2697.1500012766455, 'Diesel (Wh/pkm)': 3874.404131945913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90009.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.6720749769184331, 'Diesel (%)': 99.32792502308156, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2908.6547102614213, 'Diesel (Wh/pkm)': 1158.5330090041775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1170.7712283178523, 'Unlinked Passenger Trips': 11457737}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90023.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 11.704857463120852, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 88.29514253687914, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6053.530543802882, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 754.8540187074735, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1375.0565534017362, 'Unlinked Passenger Trips': 38986}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90026.0, 'Mode': 'MB', 'UACE Code': '78661', 'Gasoline (%)': 0.1790676898612206, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.82093231013877, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8132.059779471925, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 220.9074420019436, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 266.88838963832495, 'Unlinked Passenger Trips': 47554177}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90030.0, 'Mode': 'MB', 'UACE Code': '78661', 'Gasoline (%)': 4.359204201684005, 'Diesel (%)': 2.8828095986382065, 'LPG (%)': None, 'CNG (%)': 92.75798619967779, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3062.729926633984, 'Diesel (Wh/pkm)': 1541.4742461877888, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 322.0625085819305, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 476.6871164424627, 'Unlinked Passenger Trips': 6508713}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 98.90832118514417, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 1.0916788148558296, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8667.71062616348, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.37494037643586, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8576.671865182032, 'Unlinked Passenger Trips': 202456}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': 3.4222808886458553, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 96.57771911135414, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4457.213591638153, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 544.5138603761055, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 678.4174355091844, 'Unlinked Passenger Trips': 1474542}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 584.0544347266375, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 584.0544347266375, 'Unlinked Passenger Trips': 607617}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90162.0, 'Mode': 'DR', 'UACE Code': '02683', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13427.18241542374, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13427.18241542374, 'Unlinked Passenger Trips': 125558}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90173.0, 'Mode': 'MB', 'UACE Code': '56251', 'Gasoline (%)': 22.906964852556932, 'Diesel (%)': 77.09303514744306, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2585.3958944174265, 'Diesel (Wh/pkm)': 1696.7237980147095, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1900.291602792161, 'Unlinked Passenger Trips': 834591}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90200.0, 'Mode': 'DR', 'UACE Code': '36703', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15066.488335026846, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15066.488335026846, 'Unlinked Passenger Trips': 14294}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90201.0, 'Mode': 'MB', 'UACE Code': '89083', 'Gasoline (%)': 48.27907886520768, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 51.72092113479232, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3735.896669942998, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 427.35595515035294, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2024.6889361325998, 'Unlinked Passenger Trips': 144918}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90229.0, 'Mode': 'MB', 'UACE Code': '77068', 'Gasoline (%)': 8.66816107960013, 'Diesel (%)': 91.33183892039986, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7925.611481049444, 'Diesel (Wh/pkm)': 20.2962446071753, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 705.541703152163, 'Unlinked Passenger Trips': 177436}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90233.0, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 502.1240769356721, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 502.1240769356721, 'Unlinked Passenger Trips': 67622}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90244.0, 'Mode': 'DR', 'UACE Code': '90946', 'Gasoline (%)': 39.673666382545356, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 60.326333617454644, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9389.129623657875, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 211.8639073207816, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3852.8216906600715, 'Unlinked Passenger Trips': 17246}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 11.0, 'Mode': 'MB', 'UACE Code': '08785', 'Gasoline (%)': 0.9389645326277976, 'Diesel (%)': 1.1976622378432875, 'LPG (%)': None, 'CNG (%)': 97.86337322952892, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 627.9508035365685, 'Diesel (Wh/pkm)': 4515.689694223164, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 351.1469779683809, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 403.6232232068598, 'Unlinked Passenger Trips': 1290296}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 10003.0, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 30.634592641044446, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 69.36540735895555, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1025.7268435915569, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 556.9508697080313, 'Unlinked Passenger Trips': 10540640}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10057.0, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 49.363776737512424, 'Diesel (%)': 50.636223262487576, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1352.722837987954, 'Diesel (Wh/pkm)': 6364.965643667233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3890.7332955296856, 'Unlinked Passenger Trips': 100871}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10064.0, 'Mode': 'MB', 'UACE Code': '72505', 'Gasoline (%)': 25.805280596577074, 'Diesel (%)': 74.19471940342291, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 627.9906451286073, 'Diesel (Wh/pkm)': 2332.431738666302, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1892.5959318755326, 'Unlinked Passenger Trips': 729007}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': 45.49265319075136, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6888.145960602369, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1851.5980796600195, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1851.5980796600195, 'Unlinked Passenger Trips': 187392}\n", + "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 10102.0, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1647.8048169276612, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1647.8048169276612, 'Unlinked Passenger Trips': 720765}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20003.0, 'Mode': 'DR', 'UACE Code': '07732', 'Gasoline (%)': 93.77046718814798, 'Diesel (%)': 6.229532811852021, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1900.525269257243, 'Diesel (Wh/pkm)': 14789.919728294317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2703.4743263319942, 'Unlinked Passenger Trips': 81398}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2506.570613547485, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2506.570613547485, 'Unlinked Passenger Trips': 207876}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20010.0, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13309.127568372347, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13309.127568372347, 'Unlinked Passenger Trips': 22064}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20071.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2346.8857009019134, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2346.8857009019134, 'Unlinked Passenger Trips': 113869}\n", + "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 20078.0, 'Mode': 'CR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 0.02233911609670878, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 95.4577190615149, 'Other (%)': 4.519941822388397, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 60275.17043338498, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 25.13262885249702, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37.45597454339279, 'Unlinked Passenger Trips': 91873366}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2644.552506718471, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2644.552506718471, 'Unlinked Passenger Trips': 399621}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20113.0, 'Mode': 'DR', 'UACE Code': '75664', 'Gasoline (%)': 99.00046163988343, 'Diesel (%)': 0.9995383601165855, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3982.8143788809634, 'Diesel (Wh/pkm)': 6930.259111904595, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4012.2752196307715, 'Unlinked Passenger Trips': 214900}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30012.0, 'Mode': 'DR', 'UACE Code': '43291', 'Gasoline (%)': 94.45366729266749, 'Diesel (%)': 0.5680698077382003, 'LPG (%)': None, 'CNG (%)': 4.97826289959431, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1756.1450588142866, 'Diesel (Wh/pkm)': 14249.680416895262, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1245.958852590127, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1801.7186504793358, 'Unlinked Passenger Trips': 63768}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9751.589502345398, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9751.589502345398, 'Unlinked Passenger Trips': 3819821}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': 75.948773764032, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2822.231994802768, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 41.4081245001333, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12780.33638603924, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40002.0, 'Mode': 'MB', 'UACE Code': '45640', 'Gasoline (%)': 18.68604845959048, 'Diesel (%)': 81.31395154040952, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1413.3599159568573, 'Diesel (Wh/pkm)': 2251.926287613208, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2095.2313690396727, 'Unlinked Passenger Trips': 2634231}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7403.558620491305, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7403.558620491305, 'Unlinked Passenger Trips': 518302}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40025.0, 'Mode': 'DR', 'UACE Code': '79768', 'Gasoline (%)': 77.03921017596748, 'Diesel (%)': 22.960789824032517, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3199.035118675693, 'Diesel (Wh/pkm)': 11986.019536252636, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5216.596142666022, 'Unlinked Passenger Trips': 108200}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40031.0, 'Mode': 'DR', 'UACE Code': '46828', 'Gasoline (%)': 97.22514343206889, 'Diesel (%)': 2.7748565679311046, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4353.863517455607, 'Diesel (Wh/pkm)': 16950.821259646582, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4703.4110267242995, 'Unlinked Passenger Trips': 108299}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2928.1153343519086, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2928.1153343519086, 'Unlinked Passenger Trips': 1038345}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 14922.442822659325, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14922.442822659325, 'Unlinked Passenger Trips': 437999}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40041.0, 'Mode': 'DR', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 2.7512935635154925, 'LPG (%)': None, 'CNG (%)': 83.60553774892601, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6453.923543517437, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 923.7732989417871, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2226.296532758081, 'Unlinked Passenger Trips': 172054}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40046.0, 'Mode': 'CB', 'UACE Code': '09536', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1804.0730486777745, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1804.0730486777745, 'Unlinked Passenger Trips': 12324}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 54.72462646873942, 'Diesel (%)': 45.27537353126058, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4945.74764085911, 'Diesel (Wh/pkm)': 5676.022581452148, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5276.382348017799, 'Unlinked Passenger Trips': 7482}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40063.0, 'Mode': 'MB', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4351.2434742743235, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4351.2434742743235, 'Unlinked Passenger Trips': 2118469}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40078.0, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2471.6955327734104, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2471.6955327734104, 'Unlinked Passenger Trips': 328614}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40100.0, 'Mode': 'DR', 'UACE Code': '85708', 'Gasoline (%)': 63.57857051653523, 'Diesel (%)': 1.9157671417206055, 'LPG (%)': 34.505662341744184, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 403.64555122093793, 'Diesel (Wh/pkm)': 7802.35711721948, 'LPG (Wh/pkm)': 1046.9980177403777, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 767.3806660775007, 'Unlinked Passenger Trips': 20607}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 85.17337453124173, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2258.2990544845775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 98.56804827792824, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3084.498572395536, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 50.51254993593126, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3980.295590641411, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 37767.844905213315, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37767.844905213315, 'Unlinked Passenger Trips': 46490}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2383.3248085743967, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2383.3248085743967, 'Unlinked Passenger Trips': 117372}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4847.721917758309, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4847.721917758309, 'Unlinked Passenger Trips': 785219}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 67.2965218796002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2904.1064326828364, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 92.38114002515876, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6031.774530098047, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50166.0, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2490.3366838024353, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3932.162810336112, 'Unlinked Passenger Trips': 44941}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50184.0, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 99.91921990350691, 'Diesel (%)': 0.08078009649308052, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1649.7017339788779, 'Diesel (Wh/pkm)': 1502682.9000643366, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2862.2377999833134, 'Unlinked Passenger Trips': 88732}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 99.70160150730099, 'Diesel (%)': 0.29839849269901086, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2959.63184590667, 'Diesel (Wh/pkm)': 8104.32726834477, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2974.9835395011805, 'Unlinked Passenger Trips': 24007}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7776.315475600951, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7776.315475600951, 'Unlinked Passenger Trips': 136166}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7968.624322774964, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7968.624322774964, 'Unlinked Passenger Trips': 23036}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10931.007901648043, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10931.007901648043, 'Unlinked Passenger Trips': 1054291}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 60048.0, 'Mode': 'CB', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18656.426793971168, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18656.426793971168, 'Unlinked Passenger Trips': 613852}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 19456.93455720475, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 19456.93455720475, 'Unlinked Passenger Trips': 712779}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70002.0, 'Mode': 'DR', 'UACE Code': '65269', 'Gasoline (%)': 76.8389899092576, 'Diesel (%)': 5.544890967071835, 'LPG (%)': None, 'CNG (%)': 17.616119123670565, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2592.9593071001136, 'Diesel (Wh/pkm)': 10311.489593713626, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 900.9823435826364, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2722.882718314948, 'Unlinked Passenger Trips': 106857}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70019.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6225.518261278497, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6225.518261278497, 'Unlinked Passenger Trips': 9063}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70035.0, 'Mode': 'DR', 'UACE Code': '43912', 'Gasoline (%)': 84.45261564731449, 'Diesel (%)': 15.547384352685501, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3804.265190191787, 'Diesel (Wh/pkm)': 6715.660215708695, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4256.910964833866, 'Unlinked Passenger Trips': 58664}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': 54.43508815273861, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3874.404131945913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90023.0, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': 39.417119647705675, 'Diesel (%)': 6.141978072972676, 'LPG (%)': None, 'CNG (%)': 52.11470964631714, 'Hydrogen (%)': None, 'Electric (%)': 2.32619263300451, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 771.6358848636075, 'Diesel (Wh/pkm)': 2550.3365403843195, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 167.59976031846787, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 113.42638415491336, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 550.7803957287234, 'Unlinked Passenger Trips': 23781730}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': 39.70506239064814, 'LPG (%)': 7.3494068562419494, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': 2811.5581201303357, 'LPG (Wh/pkm)': 2240.0982891950684, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 90062.0, 'Mode': 'CB', 'UACE Code': '80362', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2829.834881601391, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2829.834881601391, 'Unlinked Passenger Trips': 75699}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90092.0, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2704.6490846777547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2704.6490846777547, 'Unlinked Passenger Trips': 570239}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 80.58870253354448, 'LPG (%)': None, 'CNG (%)': 19.41129746645553, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3175.3081875234484, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1410.4855380703684, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2832.733213282729, 'Unlinked Passenger Trips': 798280}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90232.0, 'Mode': 'MB', 'UACE Code': '90028', 'Gasoline (%)': None, 'Diesel (%)': 97.0682207747686, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.9317792252314026, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2249.9405365158223, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 61.91101192243724, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2185.7923414718643, 'Unlinked Passenger Trips': 681420}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 85.22138919126245, 'LPG (%)': 14.778610808737566, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2028.5686915381375, 'LPG (Wh/pkm)': 2821.172581133287, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2145.704535636321, 'Unlinked Passenger Trips': 2575627}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': None, 'LPG (%)': 7.3494068562419494, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 2240.0982891950684, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 30006.0, 'Mode': 'RB', 'UACE Code': '74746', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 52.98070617754295, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52.98070617754295, 'Unlinked Passenger Trips': 56952}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30025.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': 19.037496185134124, 'Diesel (%)': 79.80871616728197, 'LPG (%)': None, 'CNG (%)': 1.1537876475838864, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 720.4074604091402, 'Diesel (Wh/pkm)': 1166.0932352665964, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 7358.447631321932, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1152.6924429967269, 'Unlinked Passenger Trips': 1001102}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 80011.0, 'Mode': 'RB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 202.18234678577932, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 202.18234678577932, 'Unlinked Passenger Trips': 1468030}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6984.494620629782, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6984.494620629782, 'Unlinked Passenger Trips': 16065}\n", + "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 50.86126172332853, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50.86126172332853, 'Unlinked Passenger Trips': 2021780}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 418.22366105260414, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 418.22366105260414, 'Unlinked Passenger Trips': 7655539}\n", + "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 189.87295352903863, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 189.87295352903863, 'Unlinked Passenger Trips': 8916972}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 456.16675346080865, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 456.16675346080865, 'Unlinked Passenger Trips': 1417350}\n", + "Removing SR outlier: expected (np.float64(-1222.1657799665954), np.float64(2777.0354516470434)), got {'NTD ID': 30112.0, 'Mode': 'SR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3272.1838361779364, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3272.1838361779364, 'Unlinked Passenger Trips': 1171527}\n", + "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 158.0018358518024, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 158.0018358518024, 'Unlinked Passenger Trips': 6273379}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 881.2981978302345, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 881.2981978302345, 'Unlinked Passenger Trips': 1638170}\n", + "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1460.5937127921873, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1460.5937127921873, 'Unlinked Passenger Trips': 962251}\n", + "Removing TB outlier: expected (np.float64(293.2556767230959), np.float64(484.2287457542076)), got {'NTD ID': 90015.0, 'Mode': 'TB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 275.50451416876564, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 275.50451416876564, 'Unlinked Passenger Trips': 49199803}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 40196.0, 'Mode': 'VP', 'UACE Code': '51755', 'Gasoline (%)': 61.27744357254144, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 38.72255642745856, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 400.92451576117185, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 13.271413392282179, 'All Fuels (Wh/pkm)': 250.8153244535849, 'Unlinked Passenger Trips': 174330}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90032.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.150230867731141, 'Diesel (%)': 32.52664234754539, 'LPG (%)': None, 'CNG (%)': 62.34575010865644, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 2.9773766760670224, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 844.7243636986898, 'Diesel (Wh/pkm)': 1437.434876542263, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 293.47345526142374, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5043.159478704986, 'All Fuels (Wh/pkm)': 818.8349063956298, 'Unlinked Passenger Trips': 37451567}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90136.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.118448985762912, 'Diesel (%)': 20.012873028726787, 'LPG (%)': None, 'CNG (%)': 76.57222673071647, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.2964512547938318, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1119.8839146099215, 'Diesel (Wh/pkm)': 1235.3749487920493, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 387.1561757462195, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 4352.750658468742, 'All Fuels (Wh/pkm)': 623.8435845853585, 'Unlinked Passenger Trips': 14730245}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90244.0, 'Mode': 'MB', 'UACE Code': '90946', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 92.19645108608275, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 7.80354891391726, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 443.3641387490912, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2308.470241687648, 'All Fuels (Wh/pkm)': 588.9086057883575, 'Unlinked Passenger Trips': 288833}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 6.0, 'Mode': 'DR', 'UACE Code': '97507', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11113.067118725423, 'Unlinked Passenger Trips': 69112}\n", + "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50.86126172332853, 'Unlinked Passenger Trips': 2021780}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': None, 'Diesel (%)': 21.879390945013803, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5117.002539938507, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9390.032560879963, 'Unlinked Passenger Trips': 455807}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 376.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2794.64187695904, 'Unlinked Passenger Trips': 110156}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8105.551988473328, 'Unlinked Passenger Trips': 6577}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10098.0, 'Mode': 'DR', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12884.083755389069, 'Unlinked Passenger Trips': 49103}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1851.5980796600195, 'Unlinked Passenger Trips': 187392}\n", + "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 10102.0, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1647.8048169276612, 'Unlinked Passenger Trips': 720765}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2540.180334381893, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10634.508258114589, 'Unlinked Passenger Trips': 127599}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2506.570613547485, 'Unlinked Passenger Trips': 207876}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20010.0, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13309.127568372347, 'Unlinked Passenger Trips': 22064}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': 42.19012287761903, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4942.24554735985, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6987.653767165117, 'Unlinked Passenger Trips': 181100}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20071.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2346.8857009019134, 'Unlinked Passenger Trips': 113869}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2644.552506718471, 'Unlinked Passenger Trips': 399621}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30002.0, 'Mode': 'DR', 'UACE Code': '40753', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5808.439419361114, 'Unlinked Passenger Trips': 36205}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 30006.0, 'Mode': 'RB', 'UACE Code': '74746', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52.98070617754295, 'Unlinked Passenger Trips': 56952}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 418.22366105260414, 'Unlinked Passenger Trips': 7655539}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9751.589502345398, 'Unlinked Passenger Trips': 3819821}\n", + "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 189.87295352903863, 'Unlinked Passenger Trips': 8916972}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1998.8523367002883, 'Unlinked Passenger Trips': 1357102}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30081.0, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 748615.0311372413, 'Unlinked Passenger Trips': 13267}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 456.16675346080865, 'Unlinked Passenger Trips': 1417350}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828}\n", + "Removing SR outlier: expected (np.float64(-1222.1657799665954), np.float64(2777.0354516470434)), got {'NTD ID': 30112.0, 'Mode': 'SR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3272.1838361779364, 'Unlinked Passenger Trips': 1171527}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7403.558620491305, 'Unlinked Passenger Trips': 518302}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2928.1153343519086, 'Unlinked Passenger Trips': 1038345}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14922.442822659325, 'Unlinked Passenger Trips': 437999}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40046.0, 'Mode': 'CB', 'UACE Code': '09536', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1804.0730486777745, 'Unlinked Passenger Trips': 12324}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40051.0, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6537.162696105448, 'Unlinked Passenger Trips': 62280}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40063.0, 'Mode': 'MB', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4351.2434742743235, 'Unlinked Passenger Trips': 2118469}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40078.0, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2471.6955327734104, 'Unlinked Passenger Trips': 328614}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40100.0, 'Mode': 'MB', 'UACE Code': '85708', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2120.9764667917434, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4754.139201105951, 'Unlinked Passenger Trips': 129242}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11476.34359034371, 'Unlinked Passenger Trips': 7566}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37767.844905213315, 'Unlinked Passenger Trips': 46490}\n", + "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 158.0018358518024, 'Unlinked Passenger Trips': 6273379}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 881.2981978302345, 'Unlinked Passenger Trips': 1638170}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2383.3248085743967, 'Unlinked Passenger Trips': 117372}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50040.0, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3515.0373430277245, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16683.43964306351, 'Unlinked Passenger Trips': 166583}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4847.721917758309, 'Unlinked Passenger Trips': 785219}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50166.0, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3932.162810336112, 'Unlinked Passenger Trips': 44941}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50199.0, 'Mode': 'MB', 'UACE Code': '19234', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15226.807026426668, 'Unlinked Passenger Trips': 46693}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50516.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6879.000620670795, 'Unlinked Passenger Trips': 27514}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7776.315475600951, 'Unlinked Passenger Trips': 136166}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60008.0, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6170.23624190135, 'Unlinked Passenger Trips': 1774466}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7968.624322774964, 'Unlinked Passenger Trips': 23036}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10931.007901648043, 'Unlinked Passenger Trips': 1054291}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 60048.0, 'Mode': 'CB', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18656.426793971168, 'Unlinked Passenger Trips': 613852}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60111.0, 'Mode': 'MB', 'UACE Code': '01171', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10331.822965799565, 'Unlinked Passenger Trips': 6046}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60114.0, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 23032.357706238046, 'Unlinked Passenger Trips': 71545}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 19456.93455720475, 'Unlinked Passenger Trips': 712779}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70019.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6225.518261278497, 'Unlinked Passenger Trips': 9063}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 80011.0, 'Mode': 'RB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 202.18234678577932, 'Unlinked Passenger Trips': 1468030}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470}\n", + "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1460.5937127921873, 'Unlinked Passenger Trips': 962251}\n", + "Removing TB outlier: expected (np.float64(293.2556767230959), np.float64(484.2287457542076)), got {'NTD ID': 90015.0, 'Mode': 'TB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 275.50451416876564, 'Unlinked Passenger Trips': 49199803}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6984.494620629782, 'Unlinked Passenger Trips': 16065}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 90062.0, 'Mode': 'CB', 'UACE Code': '80362', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2829.834881601391, 'Unlinked Passenger Trips': 75699}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90092.0, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2704.6490846777547, 'Unlinked Passenger Trips': 570239}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 19.41129746645553, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1410.4855380703684, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2832.733213282729, 'Unlinked Passenger Trips': 798280}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 1.0916788148558296, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.37494037643586, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8576.671865182032, 'Unlinked Passenger Trips': 202456}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 584.0544347266375, 'Unlinked Passenger Trips': 607617}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90162.0, 'Mode': 'DR', 'UACE Code': '02683', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13427.18241542374, 'Unlinked Passenger Trips': 125558}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90200.0, 'Mode': 'DR', 'UACE Code': '36703', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15066.488335026846, 'Unlinked Passenger Trips': 14294}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90233.0, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 502.1240769356721, 'Unlinked Passenger Trips': 67622}\n", + "DR desc: count 893.000000\n", + "mean 2580.413098\n", + "std 1142.413938\n", + "min 33.284974\n", + "25% 1850.740148\n", + "50% 2527.071611\n", + "75% 3342.764316\n", + "max 5644.666045\n", + "dtype: float64\n", + "FB desc: count 46.000000\n", + "mean 2638.702130\n", + "std 1453.995210\n", + "min 845.933193\n", + "25% 1510.835475\n", + "50% 2293.157330\n", + "75% 3610.455669\n", + "max 6352.981455\n", + "dtype: float64\n", + "MB desc: count 1010.000000\n", + "mean 864.986508\n", + "std 462.036840\n", + "min 4.377104\n", + "25% 521.949806\n", + "50% 850.221503\n", + "75% 1157.872286\n", + "max 2185.792341\n", + "dtype: float64\n", + "SR desc: count 36.000000\n", + "mean 825.855509\n", + "std 682.661512\n", + "min 163.178653\n", + "25% 291.609114\n", + "50% 631.554409\n", + "75% 1182.260815\n", + "max 2461.772873\n", + "dtype: float64\n", + "TB desc: count 8.000000\n", + "mean 391.000129\n", + "std 27.977054\n", + "min 364.870578\n", + "25% 365.084967\n", + "50% 388.885137\n", + "75% 414.800300\n", + "max 421.359665\n", + "dtype: float64\n", + "VP desc: count 156.000000\n", + "mean 241.796425\n", + "std 64.008862\n", + "min 77.945146\n", + "25% 191.508544\n", + "50% 229.025224\n", + "75% 285.246055\n", + "max 400.924516\n", + "dtype: float64\n", + "RB desc: count 11.000000\n", + "mean 624.149735\n", + "std 71.216233\n", + "min 530.130134\n", + "25% 564.756008\n", + "50% 661.709306\n", + "75% 686.112594\n", + "max 703.834931\n", + "dtype: float64\n", + "LR desc: count 38.000000\n", + "mean 129.017648\n", + "std 66.404723\n", + "min 35.411547\n", + "25% 82.985421\n", + "50% 122.308669\n", + "75% 171.800104\n", + "max 324.018387\n", + "dtype: float64\n", + "YR desc: count 12.000000\n", + "mean 502.132691\n", + "std 209.542709\n", + "min 326.999034\n", + "25% 329.328704\n", + "50% 426.477587\n", + "75% 607.587217\n", + "max 895.926017\n", + "dtype: float64\n", + "CB desc: count 128.000000\n", + "mean 548.595624\n", + "std 339.600618\n", + "min 65.685955\n", + "25% 313.323454\n", + "50% 436.385581\n", + "75% 718.526559\n", + "max 1745.550262\n", + "dtype: float64\n", + "MG desc: count 8.000000\n", + "mean 591.075202\n", + "std 66.951441\n", + "min 525.479091\n", + "25% 551.314367\n", + "50% 572.910563\n", + "75% 612.671399\n", + "max 693.000591\n", + "dtype: float64\n", + "CR desc: count 50.000000\n", + "mean 333.387885\n", + "std 285.150534\n", + "min 12.056034\n", + "25% 76.944251\n", + "50% 282.772710\n", + "75% 462.513884\n", + "max 1024.176962\n", + "dtype: float64\n", + "AR desc: count 2.000000\n", + "mean 110.463809\n", + "std 0.000000\n", + "min 110.463809\n", + "25% 110.463809\n", + "50% 110.463809\n", + "75% 110.463809\n", + "max 110.463809\n", + "dtype: float64\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TR desc: count 2.000000\n", + "mean 176.243363\n", + "std 0.000000\n", + "min 176.243363\n", + "25% 176.243363\n", + "50% 176.243363\n", + "75% 176.243363\n", + "max 176.243363\n", + "dtype: float64\n", + "HR desc: count 26.000000\n", + "mean 41.230723\n", + "std 23.485197\n", + "min 11.568722\n", + "25% 22.551414\n", + "50% 37.843691\n", + "75% 50.448267\n", + "max 89.070422\n", + "dtype: float64\n", + "IP desc: count 6.000000\n", + "mean 2871.250001\n", + "std 2931.439465\n", + "min 134.644684\n", + "25% 594.914790\n", + "50% 1975.725110\n", + "75% 5371.466435\n", + "max 6503.380210\n", + "dtype: float64\n", + "CC desc: count 2.000000\n", + "mean 306.104804\n", + "std 0.000000\n", + "min 306.104804\n", + "25% 306.104804\n", + "50% 306.104804\n", + "75% 306.104804\n", + "max 306.104804\n", + "dtype: float64\n", + "Gasoline desc: count 499.000000\n", + "mean 1917.735167\n", + "std 1377.630496\n", + "min 19.742856\n", + "25% 650.248646\n", + "50% 1866.974109\n", + "75% 2928.354984\n", + "max 5644.666045\n", + "Name: Gasoline (Wh/pkm), dtype: float64\n", + "Diesel desc: count 600.000000\n", + "mean 1411.059281\n", + "std 1031.138509\n", + "min 20.296245\n", + "25% 742.183466\n", + "50% 1080.936734\n", + "75% 1746.479231\n", + "max 6352.981455\n", + "Name: Diesel (Wh/pkm), dtype: float64\n", + "LPG desc: count 33.000000\n", + "mean 2537.856628\n", + "std 1394.106777\n", + "min 171.390307\n", + "25% 1443.055698\n", + "50% 2518.133414\n", + "75% 3700.063837\n", + "max 4851.983847\n", + "Name: LPG (Wh/pkm), dtype: float64\n", + "CNG desc: count 180.000000\n", + "mean 454.150975\n", + "std 348.932478\n", + "min 56.806244\n", + "25% 211.418793\n", + "50% 327.019520\n", + "75% 562.231585\n", + "max 2398.267405\n", + "Name: CNG (Wh/pkm), dtype: float64\n", + "Hydrogen desc: count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: Hydrogen (Wh/pkm), dtype: float64\n", + "Electric desc: count 112.000000\n", + "mean 388.382029\n", + "std 721.682157\n", + "min 4.377104\n", + "25% 84.703945\n", + "50% 195.173725\n", + "75% 364.942041\n", + "max 6503.380210\n", + "Name: Electric (Wh/pkm), dtype: float64\n", + "Other desc: count 4.000000\n", + "mean 2348.268304\n", + "std 1073.034125\n", + "min 1383.318629\n", + "25% 1751.777557\n", + "50% 2073.611588\n", + "75% 2670.102335\n", + "max 3862.531409\n", + "Name: Other (Wh/pkm), dtype: float64\n", + "All Fuels desc: count 1006.000000\n", + "mean 1468.020035\n", + "std 1222.419700\n", + "min 11.568722\n", + "25% 539.090704\n", + "50% 1045.506764\n", + "75% 2254.836982\n", + "max 6503.380210\n", + "Name: All Fuels (Wh/pkm), dtype: float64\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 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"DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", + " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", + " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", + " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", + " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done generating NTD intensities json files\n" + ] + } + ], + "source": [ + "for year in ntd_urls:\n", + " urls = ntd_urls[year].values()\n", + " output_filename = f\"../src/emcommon/resources/ntd{year}_intensities.json\"\n", + "\n", + " if is_up_to_date(output_filename, urls):\n", + " continue\n", + "\n", + " print(year)\n", + " df = make_merged_ntd_df(year)\n", + " df = remove_outliers(df)\n", + "\n", + " # convert to JSON\n", + " df = df.convert_dtypes()\n", + " records = df.to_dict(orient='records')\n", + " # remove NA values since they are not JSON serializable and just take up space\n", + " records = [ { k: v for k, v in record.items() if v and v == v } for record in records ]\n", + "\n", + " output = {\n", + " \"records\": records,\n", + " \"metadata\": {\n", + " \"year\": year,\n", + " \"data_source_urls\": list(urls)\n", + " }\n", + " }\n", + " with open(output_filename, 'w') as f:\n", + " json.dump(output, f, indent=2)\n", + "\n", + "print(\"Done generating NTD intensities json files\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/scripts/ntd.ipynb b/scripts/ntd.ipynb index 3eab620..5308aaa 100644 --- a/scripts/ntd.ipynb +++ b/scripts/ntd.ipynb @@ -15,7 +15,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -109,7 +109,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -130,6 +130,7 @@ "from datetime import time\n", "import datetime\n", "import numpy as np\n", + "import os\n", "\n", "from script_utils import is_up_to_date, load_dataframe\n", "\n", @@ -140,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -164,7 +165,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -206,7 +207,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -296,7 +297,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -305,11 +306,17 @@ " # if 'Actual Vehicles Passenger Car Miles' in df.columns:\n", " # print(f\"Year {y} has 'Actual Vehicles Passenger Car Miles' column\")\n", " \n", + " print('!'*90)\n", + " print(df.columns)\n", " col_renames = {\n", " 'Passenger Miles Traveled': 'Passenger Miles',\n", " 'Unlinked Passenger Trips (UPT)': 'Unlinked Passenger Trips',\n", " 'Actual Vehicle/Passenger Car Miles': 'Vehicle Miles',\n", " 'Actual Vehicles Passenger Car Miles': 'Vehicle Miles',\n", + " 'sum_actual_vehicles_passenger_car_miles': 'Vehicle Miles',\n", + " 'sum_train_miles': 'Train Miles',\n", + " 'sum_unlinked_passenger_trips_upt': 'Unlinked Passenger Trips',\n", + " 'sum_passenger_miles': 'Passenger Miles',\n", " }\n", " df = df.rename(columns=col_renames)\n", " df = agg_by_ntd_id_and_mode(df)\n", @@ -336,7 +343,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -352,7 +359,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -492,7 +499,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -525,7 +532,7 @@ " df = df[['NTD ID', 'Mode', 'UACE Code']\n", " + [f + ' (%)' for f in fuel_types_all]\n", " + [f + ' (Wh/pkm)' for f in fuel_types_all]\n", - " + ['Unlinked Passenger Trips', 'Passenger Paid Fares', 'Average Fare']\n", + " + ['Unlinked Passenger Trips', 'Passenger Paid Fares', 'Average Fare', 'Average Passengers']\n", " # + ['Headway Dict']\n", " ]\n", "\n", @@ -534,13 +541,41 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Function to generate a unique filename\n", + "def save_figure(title=\"plot\", output_dir=\"plots\", file_format=\"pdf\"):\n", + " title = title.replace(\" \", \"_\").replace('/', '_').lower()\n", + " if not os.path.exists(output_dir):\n", + " os.makedirs(output_dir)\n", + " \n", + " i = 1\n", + " while True:\n", + " filename = f\"{title}_{i}.{file_format}\"\n", + " file_path = os.path.join(output_dir, filename)\n", + " if not os.path.exists(file_path):\n", + " plt.savefig(file_path, format=file_format)\n", + " print(f\"Saved figure as {file_path}\")\n", + " break\n", + " i += 1\n", + " plt.close() # Close the figure after saving to avoid display issues" + ] + }, + { + "cell_type": "code", + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ - "def plot_whpkm_hists(df, title):\n", + "\n", + "def plot_whpkm_hists(df, title, year):\n", " modes = df['Mode'].unique()\n", " _, axs = plt.subplots(1, 2, figsize=(15, 5))\n", + " \n", + " # Left plot: Distribution by Mode\n", " for mode in modes:\n", " values = []\n", " for fuel_type in fuel_types_all:\n", @@ -550,19 +585,24 @@ "\n", " axs[0].set_xlabel('Wh/pkm')\n", " axs[0].set_ylabel('Frequency')\n", - " axs[0].set_title(title + ', by mode')\n", - " axs[0].legend()\n", + " axs[0].set_title(f'{title} for {year}, by Mode')\n", + " axs[0].legend(title='Mode')\n", "\n", + " # Right plot: Distribution by Fuel Type\n", " for fuel_type in fuel_types_all:\n", " axs[1].hist(df[fuel_type + ' (Wh/pkm)'].dropna(), bins=50, alpha=0.5, label=fuel_type, log=True)\n", " print(f\"{fuel_type} desc: {df[fuel_type + ' (Wh/pkm)'].dropna().astype(float).describe()}\")\n", + " \n", " axs[1].set_xlabel('Wh/pkm')\n", " axs[1].set_ylabel('Frequency')\n", - " axs[1].set_title(title + ', by fuel type')\n", - " axs[1].legend()\n", - " plt.show()\n", + " axs[1].set_title(f'{title} for {year}, by Fuel Type')\n", + " axs[1].legend(title='Fuel Type')\n", + " \n", + " save_figure(f\"{title}_{year}\")\n", + "\n", + "\n", "\n", - "def remove_outliers(df):\n", + "def remove_outliers(df, year):\n", " print(\"Removing outliers\")\n", " modes = df['Mode'].unique()\n", " bounds = {}\n", @@ -574,7 +614,6 @@ "\n", " df = df.replace(0, pd.NA)\n", " for fuel_type in fuel_types_all:\n", - " # find rows where Wh/pkm is less than bounds[df['Mode']] or greater than bounds[df['Mode']]\n", " outliers = df[(df[fuel_type + ' (Wh/pkm)'] < df['Mode'].apply(lambda x: bounds[x][0])) | \\\n", " (df[fuel_type + ' (Wh/pkm)'] > df['Mode'].apply(lambda x: bounds[x][1]))].index\n", " for outlier in outliers:\n", @@ -582,9 +621,10 @@ " print(f\"Removing {o['Mode']} outlier: expected {bounds[o['Mode']]}, got {o.to_dict()}\")\n", " df.at[outlier, fuel_type + ' (Wh/pkm)'] = pd.NA\n", " df.at[outlier, fuel_type + ' (%)'] = pd.NA\n", - " plot_whpkm_hists(df, 'Distribution of Wh/pkm after removing outliers')\n", + " \n", + " plot_whpkm_hists(df, 'Distribution of Wh/pkm after removing outliers', year)\n", "\n", - " return df" + " return df\n" ] }, { @@ -596,21 +636,14 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 24, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Creating ../src/emcommon/resources/ntd2022_intensities.json\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -618,18 +651,42 @@ "name": "stdout", "output_type": "stream", "text": [ - "dropping 0 rows with missing UACE Code\n" + "dropping 0 rows with missing UACE Code\n", + "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n", + "Index(['NTD ID', 'max_agency', 'max_reporter_type', 'max_organization_type',\n", + " 'Report Year', 'max_city', 'max_state', 'max_agency_voms', 'Mode',\n", + " 'max_mode_name', 'Type Of Service', 'max_mode_voms',\n", + " 'max_primary_uza_code', 'max_primary_uza_name',\n", + " 'max_primary_uza_area_sq_miles', 'max_primary_uza_population',\n", + " 'max_service_area_sq_miles', 'max_service_area_population',\n", + " 'questionable_record', 'max_time_period', 'min_time_service_begins',\n", + " 'max_time_service_ends', 'sum_actual_vehicles_passenger_car_miles',\n", + " 'sum_actual_vehicles_passenger_car_revenue_miles',\n", + " 'sum_actual_vehicles_passenger_deadhead_miles',\n", + " 'sum_scheduled_vehicles_passenger_car_revenue_miles',\n", + " 'sum_actual_vehicles_passenger_car_hours',\n", + " 'sum_actual_vehicles_passenger_car_revenue_hours',\n", + " 'sum_actual_vehicles_passenger_car_deadhead_hours',\n", + " 'sum_charter_service_hours', 'sum_school_bus_hours',\n", + " 'sum_trains_in_operation', 'sum_train_miles', 'sum_train_revenue_miles',\n", + " 'sum_train_deadhead_miles', 'sum_train_hours',\n", + " 'sum_train_revenue_hours', 'sum_train_deadhead_hours',\n", + " 'sum_unlinked_passenger_trips_upt', 'sum_ada_upt',\n", + " 'sum_sponsored_service_upt', 'sum_passenger_miles',\n", + " 'sum_directional_route_miles', 'sum_days_of_service_operated',\n", + " 'sum_days_not_operated_strikes', 'sum_days_not_operated_emergencies'],\n", + " dtype='object')\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/2575560671.py:29: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/146710289.py:35: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n", "DEBUG:matplotlib.pyplot:Loaded backend module://matplotlib_inline.backend_inline version unknown.\n", "DEBUG:matplotlib.pyplot:Loaded backend module://matplotlib_inline.backend_inline version unknown.\n", @@ -1045,447 +1102,437 @@ "output_type": "stream", "text": [ "Removing outliers\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 5, 'Mode': 'MB', 'UACE Code': '80389', 'Gasoline (%)': 0.004049225883287018, 'Diesel (%)': 85.55657006748709, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 14.439380706629615, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14317.713345993885, 'Diesel (Wh/pkm)': 1648.582129176938, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 792.8007138479063, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1525.5255943414145, 'Unlinked Passenger Trips': 1007952, 'Passenger Paid Fares': 597637.0, 'Average Fare': 0.5929220835912822}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 24, 'Mode': 'DR', 'UACE Code': '71317', 'Gasoline (%)': 1.1321521013038813, 'Diesel (%)': 98.86784789869611, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9430.330929353542, 'Diesel (Wh/pkm)': 2343.104375344356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2423.342559699738, 'Unlinked Passenger Trips': 185296, 'Passenger Paid Fares': 151715.0, 'Average Fare': 0.8187710474052327}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 57, 'Mode': 'MB', 'UACE Code': '06868', 'Gasoline (%)': 1.2889852068218224, 'Diesel (%)': 98.71101479317818, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12304.680938000913, 'Diesel (Wh/pkm)': 1206.4683255344778, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1349.522644330804, 'Unlinked Passenger Trips': 218671, 'Passenger Paid Fares': 89653.0, 'Average Fare': 0.40999035080097496}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 10008, 'Mode': 'MB', 'UACE Code': '83926', 'Gasoline (%)': 1.8118493293368434, 'Diesel (%)': 95.64715039654051, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.54100027412265, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4145.482476708648, 'Diesel (Wh/pkm)': 1266.805663064955, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 243.7824923085022, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1292.9679280334742, 'Unlinked Passenger Trips': 6077602, 'Passenger Paid Fares': 4526752.0, 'Average Fare': 0.7448253439432198}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 10050, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 2.567675600134516, 'Diesel (%)': 97.4323243998655, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9733.416741061157, 'Diesel (Wh/pkm)': 2519.616175847457, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2704.843172802815, 'Unlinked Passenger Trips': 71883, 'Passenger Paid Fares': 107730.0, 'Average Fare': 1.4986853637160387}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 10053, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': 4.973338073231426, 'Diesel (%)': 95.02666192676857, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10636.91159781157, 'Diesel (Wh/pkm)': 3722.007831312604, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4065.909373059211, 'Unlinked Passenger Trips': 147697, 'Passenger Paid Fares': 107916.0, 'Average Fare': 0.7306580363853024}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 10107, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6423.163287820743, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6423.163287820743, 'Unlinked Passenger Trips': 13717, 'Passenger Paid Fares': 27388.0, 'Average Fare': 1.9966464970474593}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 10118, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': 6.039205712047028, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 93.96079428795298, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5300.424347394695, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 641.2553418122816, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 922.6321425313396, 'Unlinked Passenger Trips': 219304, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11882.320633298586, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11882.320633298586, 'Unlinked Passenger Trips': 144761, 'Passenger Paid Fares': 328188.0, 'Average Fare': 2.2671023272842823}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 20178, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21133.46916387576, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21133.46916387576, 'Unlinked Passenger Trips': 6743, 'Passenger Paid Fares': 34846.0, 'Average Fare': 5.167729497256414}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': 15.089035410565222, 'Diesel (%)': 78.3734788805187, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 6.537485708916072, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6293.920332813393, 'Diesel (Wh/pkm)': 3013.324488315978, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 964.5955809783137, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3374.399397438092, 'Unlinked Passenger Trips': 287045, 'Passenger Paid Fares': 161395.0, 'Average Fare': 0.5622637565538504}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20209, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': 56.781865710470726, 'Diesel (%)': 43.218134289529274, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4784.937552525188, 'Diesel (Wh/pkm)': 2368.3845440718187, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3740.5484281541508, 'Unlinked Passenger Trips': 43822, 'Passenger Paid Fares': 42301.0, 'Average Fare': 0.9652914061430332}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30007, 'Mode': 'DR', 'UACE Code': '75421', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16702.497355908996, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16702.497355908996, 'Unlinked Passenger Trips': 63328, 'Passenger Paid Fares': 202908.0, 'Average Fare': 3.204080343607883}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30011, 'Mode': 'DR', 'UACE Code': '01792', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 241223.02839271055, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 241223.02839271055, 'Unlinked Passenger Trips': 5086, 'Passenger Paid Fares': 17163.0, 'Average Fare': 3.374557609123083}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30035, 'Mode': 'DR', 'UACE Code': '94726', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7136.291821824249, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7136.291821824249, 'Unlinked Passenger Trips': 3442, 'Passenger Paid Fares': 8947.0, 'Average Fare': 2.5993608367228354}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30070, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9502.005792289234, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9502.005792289234, 'Unlinked Passenger Trips': 2820, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 30078, 'Mode': 'VP', 'UACE Code': '69697', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 952.8845615666118, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 952.8845615666118, 'Unlinked Passenger Trips': 13020, 'Passenger Paid Fares': 121793.0, 'Average Fare': 9.354301075268816}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 30083, 'Mode': 'VP', 'UACE Code': '90892', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 765.6676640983907, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 765.6676640983907, 'Unlinked Passenger Trips': 48029, 'Passenger Paid Fares': 253959.0, 'Average Fare': 5.287617897520248}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40003, 'Mode': 'MB', 'UACE Code': '56116', 'Gasoline (%)': 0.4122820516220673, 'Diesel (%)': 99.58771794837794, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4691.94846009891, 'Diesel (Wh/pkm)': 2781.69323842122, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2789.56887784037, 'Unlinked Passenger Trips': 2485053, 'Passenger Paid Fares': 1545252.0, 'Average Fare': 0.6218185286189067}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 40006, 'Mode': 'VP', 'UACE Code': '95833', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1167.4365690660263, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1167.4365690660263, 'Unlinked Passenger Trips': 92, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40009, 'Mode': 'DR', 'UACE Code': '29440', 'Gasoline (%)': 7.182344847083352, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 92.81765515291664, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 32706.759154262352, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2470.1698078195705, 'Unlinked Passenger Trips': 64789, 'Passenger Paid Fares': 215.0, 'Average Fare': 0.003318464554168146}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40029, 'Mode': 'DR', 'UACE Code': '56602', 'Gasoline (%)': 0.45709364920883766, 'Diesel (%)': None, 'LPG (%)': 49.77145317539558, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 49.77145317539558, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 202280.06104288826, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 1727.8183601688797, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1784.5696187301442, 'Unlinked Passenger Trips': 773861, 'Passenger Paid Fares': 590795.0, 'Average Fare': 0.7634381368230212}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 893.3452363816174, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 893.3452363816174, 'Unlinked Passenger Trips': 19052, 'Passenger Paid Fares': 94443.0, 'Average Fare': 4.957117363006509}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40036, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 41.773148370373924, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 58.226851629626076, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8387.514634216159, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 779.7227456950089, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3957.736938996222, 'Unlinked Passenger Trips': 114655, 'Passenger Paid Fares': 280700.0, 'Average Fare': 2.448214207840914}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5043.997611705384, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5043.997611705384, 'Unlinked Passenger Trips': 3954, 'Passenger Paid Fares': 11094.0, 'Average Fare': 2.805766312594841}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40040, 'Mode': 'MB', 'UACE Code': '42346', 'Gasoline (%)': 0.03764151663342526, 'Diesel (%)': 35.493666649085895, 'LPG (%)': None, 'CNG (%)': 64.37811647449114, 'Hydrogen (%)': None, 'Electric (%)': 0.0905753597895493, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 39086.86108629771, 'Diesel (Wh/pkm)': 2177.015832774081, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 461.2025143304821, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 816.8014239171885, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1085.0689425873747, 'Unlinked Passenger Trips': 5153249, 'Passenger Paid Fares': 5872083.0, 'Average Fare': 1.1394914159979461}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': 53.168870608134085, 'Diesel (%)': 46.83112939186592, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7052.298349522438, 'Diesel (Wh/pkm)': 2870.2086602327427, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5093.778515847299, 'Unlinked Passenger Trips': 330181, 'Passenger Paid Fares': 310838.0, 'Average Fare': 0.9414169803834866}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40047, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6565.79190534954, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6565.79190534954, 'Unlinked Passenger Trips': 4010, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4446.3704056072875, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4446.3704056072875, 'Unlinked Passenger Trips': 25259, 'Passenger Paid Fares': 22347.0, 'Average Fare': 0.8847143592382913}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 40108, 'Mode': 'VP', 'UACE Code': '25228', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 700.5411533765777, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 700.5411533765777, 'Unlinked Passenger Trips': 28669, 'Passenger Paid Fares': 159175.0, 'Average Fare': 5.552164358714989}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 99.3888888888889, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.6111111111111112, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6574.2290274819115, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 6887.623746518632, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6576.144217431581, 'Unlinked Passenger Trips': 6156, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40185, 'Mode': 'DR', 'UACE Code': '67305', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10738.948512458246, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10738.948512458246, 'Unlinked Passenger Trips': 45452, 'Passenger Paid Fares': 48945.0, 'Average Fare': 1.0768503036170025}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 44929, 'Mode': 'MB', 'UACE Code': '56602', 'Gasoline (%)': 43.47277347876988, 'Diesel (%)': None, 'LPG (%)': 28.263613260615056, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 28.263613260615056, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3788.320850364068, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 390.3331309062104, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1757.2103884751618, 'Unlinked Passenger Trips': 103306, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 68.72980355427329, 'Diesel (%)': 31.270196445726718, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11665.952796558287, 'Diesel (Wh/pkm)': 8013.168611047374, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10523.720006010588, 'Unlinked Passenger Trips': 120503, 'Passenger Paid Fares': 73029.0, 'Average Fare': 0.6060347045301777}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': 0.9705167081994777, 'Diesel (%)': 99.02948329180052, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 28642.766475607834, 'Diesel (Wh/pkm)': 3513.8108804676667, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3757.6915931145295, 'Unlinked Passenger Trips': 574576, 'Passenger Paid Fares': 4062.0, 'Average Fare': 0.007069560858789786}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 60429.71127373072, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 115763.97825906903, 'Unlinked Passenger Trips': 178496, 'Passenger Paid Fares': 54716.0, 'Average Fare': 0.3065390821082825}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 50515, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7756.994980206935, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7756.994980206935, 'Unlinked Passenger Trips': 2413, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 60090, 'Mode': 'MB', 'UACE Code': '52390', 'Gasoline (%)': 37.51983689056118, 'Diesel (%)': 62.48016310943881, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3660.009470114265, 'Diesel (Wh/pkm)': 2709.3235869829955, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3066.019379675439, 'Unlinked Passenger Trips': 255265, 'Passenger Paid Fares': 464116.0, 'Average Fare': 1.8181732709145397}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 60095, 'Mode': 'DR', 'UACE Code': '90514', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 48924.66972509243, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 48924.66972509243, 'Unlinked Passenger Trips': 40417, 'Passenger Paid Fares': 27080.0, 'Average Fare': 0.6700150926590296}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 60101, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14799.732133224114, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14799.732133224114, 'Unlinked Passenger Trips': 645805, 'Passenger Paid Fares': 577831.0, 'Average Fare': 0.894745317859106}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4939.82825314824, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4939.82825314824, 'Unlinked Passenger Trips': 32228, 'Passenger Paid Fares': 25435.0, 'Average Fare': 0.7892205535559141}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 90001, 'Mode': 'DR', 'UACE Code': '74179', 'Gasoline (%)': 6.418363597687146, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 93.58163640231287, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8531.042286374357, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 852.194104272856, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1345.0505007145198, 'Unlinked Passenger Trips': 144474, 'Passenger Paid Fares': 277279.0, 'Average Fare': 1.9192311419355732}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 90022, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8855.764245031576, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8855.764245031576, 'Unlinked Passenger Trips': 9966, 'Passenger Paid Fares': 9741.0, 'Average Fare': 0.9774232390126429}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90026, 'Mode': 'MB', 'UACE Code': '78661', 'Gasoline (%)': 0.19905610044073274, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 98.83928327389117, 'Hydrogen (%)': None, 'Electric (%)': 0.961660625668105, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7144.976375563764, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 405.7482537412754, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 309.5557457473206, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 474.62255067471744, 'Unlinked Passenger Trips': 27605488, 'Passenger Paid Fares': 22291337.0, 'Average Fare': 0.8074965745941531}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90034, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 53.75952335423355, 'Diesel (%)': 46.24047664576644, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3847.6203993689805, 'Diesel (Wh/pkm)': 2680.4094252969157, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3307.8964814963647, 'Unlinked Passenger Trips': 71924, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 957.8755260280093, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 957.8755260280093, 'Unlinked Passenger Trips': 17110, 'Passenger Paid Fares': 141154.0, 'Average Fare': 8.24979544126242}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 1.0252547317663323, 'Diesel (%)': 13.257209850398558, 'LPG (%)': None, 'CNG (%)': 84.72859098129724, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9889444365378608, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3723.0597228334696, 'Diesel (Wh/pkm)': 4006.1497907459784, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 725.9118545185896, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 8300.427952675365, 'All Fuels (Wh/pkm)': 1266.4160372019553, 'Unlinked Passenger Trips': 6375964, 'Passenger Paid Fares': 3277514.0, 'Average Fare': 0.5140421119065289}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90156, 'Mode': 'MB', 'UACE Code': '79147', 'Gasoline (%)': 0.043140390334251745, 'Diesel (%)': 99.95685960966576, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 28237.868186529897, 'Diesel (Wh/pkm)': 1191.1364841932361, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1202.804549822282, 'Unlinked Passenger Trips': 468945, 'Passenger Paid Fares': 173258.0, 'Average Fare': 0.3694633699047863}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90173, 'Mode': 'MB', 'UACE Code': '56251', 'Gasoline (%)': 16.305519105116282, 'Diesel (%)': 83.69448089488371, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5078.752218722051, 'Diesel (Wh/pkm)': 3139.226191086703, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3455.4759780714876, 'Unlinked Passenger Trips': 390723, 'Passenger Paid Fares': 364424.0, 'Average Fare': 0.9326914463699347}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 628.9383770929793, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 628.9383770929793, 'Unlinked Passenger Trips': 65470, 'Passenger Paid Fares': 493275.0, 'Average Fare': 7.534366885596456}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 90222, 'Mode': 'VP', 'UACE Code': '88732', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2026.4975161096725, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2026.4975161096725, 'Unlinked Passenger Trips': 24945, 'Passenger Paid Fares': 172478.0, 'Average Fare': 6.914331529364602}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 90232, 'Mode': 'DR', 'UACE Code': '90028', 'Gasoline (%)': 74.89580595501822, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 25.10419404498179, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9947.695426339593, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1345.658347656863, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7788.223346285798, 'Unlinked Passenger Trips': 15435, 'Passenger Paid Fares': 49135.0, 'Average Fare': 3.183349530288306}\n", - "Removing YR outlier: expected (np.float64(-249.73446975399816), np.float64(1753.6333146783766)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2231.089470958053, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2231.089470958053, 'Unlinked Passenger Trips': 103198, 'Passenger Paid Fares': 55326.0, 'Average Fare': 0.5361150409891664}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7839.583401736148, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7839.583401736148, 'Unlinked Passenger Trips': 276522, 'Passenger Paid Fares': 216295.0, 'Average Fare': 0.7821981614482754}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 10045, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6179.186083611068, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6179.186083611068, 'Unlinked Passenger Trips': 16209, 'Passenger Paid Fares': 12629.0, 'Average Fare': 0.7791350484298847}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 10053, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 95.02666192676857, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3722.007831312604, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4065.909373059211, 'Unlinked Passenger Trips': 147697, 'Passenger Paid Fares': 107916.0, 'Average Fare': 0.7306580363853024}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2868.9496378302115, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2868.9496378302115, 'Unlinked Passenger Trips': 150161, 'Passenger Paid Fares': 31886.0, 'Average Fare': 0.2123454159202456}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4966.960111718936, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4966.960111718936, 'Unlinked Passenger Trips': 87685, 'Passenger Paid Fares': 198350.0, 'Average Fare': 2.2620744711182073}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20071, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4363.347399842312, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10396.938156104681, 'Unlinked Passenger Trips': 52494, 'Passenger Paid Fares': 57947.0, 'Average Fare': 1.1038785384996381}\n", - "Removing FB outlier: expected (np.float64(-2328.0705245033705), np.float64(9637.463913610158)), got {'NTD ID': 20078, 'Mode': 'FB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 16195.632816156321, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16195.632816156321, 'Unlinked Passenger Trips': 70093, 'Passenger Paid Fares': 73528.0, 'Average Fare': 1.0490063201746251}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8933.759998173393, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8933.759998173393, 'Unlinked Passenger Trips': 151723, 'Passenger Paid Fares': 233948.0, 'Average Fare': 1.5419415645617343}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30010, 'Mode': 'DR', 'UACE Code': '01495', 'Gasoline (%)': 94.23123993393256, 'Diesel (%)': 5.7687600660674505, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2084.9564005883744, 'Diesel (Wh/pkm)': 6433.066396903999, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2335.788433684517, 'Unlinked Passenger Trips': 183493, 'Passenger Paid Fares': 358998.0, 'Average Fare': 1.9564670041908956}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30015, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': 30.931276704931086, 'LPG (%)': None, 'CNG (%)': 69.0687232950689, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4201.869674058744, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 719.1030444943303, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1796.3672276719012, 'Unlinked Passenger Trips': 671209, 'Passenger Paid Fares': 799957.0, 'Average Fare': 1.1918150680339508}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 30027, 'Mode': 'CB', 'UACE Code': '97750', 'Gasoline (%)': None, 'Diesel (%)': 81.43450173522677, 'LPG (%)': None, 'CNG (%)': 18.56549826477323, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3131.600972057718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1092.3603300723523, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2753.0057860553748, 'Unlinked Passenger Trips': 23318, 'Passenger Paid Fares': 71511.0, 'Average Fare': 3.06677245046745}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30027, 'Mode': 'DR', 'UACE Code': '97750', 'Gasoline (%)': 99.99747478730177, 'Diesel (%)': 0.002525212698222551, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1670.364983872162, 'Diesel (Wh/pkm)': 90176.17439831597, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1672.59994381016, 'Unlinked Passenger Trips': 541608, 'Passenger Paid Fares': 494431.0, 'Average Fare': 0.9128945658114356}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 17.21471683082367, 'Diesel (%)': 82.78528316917632, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2284.3865406590344, 'Diesel (Wh/pkm)': 3804.1710051379578, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3542.5444131390614, 'Unlinked Passenger Trips': 274470, 'Passenger Paid Fares': 293720.0, 'Average Fare': 1.070135169599592}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30044, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': 30.543307772743116, 'LPG (%)': None, 'CNG (%)': 69.45669222725688, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5021.6841774126815, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 918.0221070868126, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2171.4162431797645, 'Unlinked Passenger Trips': 150403, 'Passenger Paid Fares': 283116.0, 'Average Fare': 1.8823826652393902}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30051, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7844.775645032893, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7844.775645032893, 'Unlinked Passenger Trips': 9047, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30058, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3703.995615250467, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3703.995615250467, 'Unlinked Passenger Trips': 536110, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30077, 'Mode': 'MB', 'UACE Code': '69076', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6478.447581653692, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6478.447581653692, 'Unlinked Passenger Trips': 131888, 'Passenger Paid Fares': 145949.0, 'Average Fare': 1.1066131869465001}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 86.87704424622301, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.122955753776989, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3931.6454152325455, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2033.0298274504119, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3682.4909317135825, 'Unlinked Passenger Trips': 1849977, 'Passenger Paid Fares': 677711.0, 'Average Fare': 0.36633482470322604}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40003, 'Mode': 'DR', 'UACE Code': '56116', 'Gasoline (%)': 94.89651513851291, 'Diesel (%)': 5.103484861487092, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1676.333757530496, 'Diesel (Wh/pkm)': 26504.670643945796, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2943.444171887717, 'Unlinked Passenger Trips': 204414, 'Passenger Paid Fares': 130540.0, 'Average Fare': 0.638605966323246}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4616.873464472403, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4616.873464472403, 'Unlinked Passenger Trips': 364210, 'Passenger Paid Fares': 249869.0, 'Average Fare': 0.6860574943027374}\n", - "Removing RB outlier: expected (np.float64(-643.0794103826142), np.float64(1908.2956499236411)), got {'NTD ID': 40035, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': 40.54363088520658, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 59.45636911479342, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3363.7172060090406, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 21.960372302215823, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1376.8299280414774, 'Unlinked Passenger Trips': 383968, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing FB outlier: expected (np.float64(-2328.0705245033705), np.float64(9637.463913610158)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 15723.049924063467, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15723.049924063467, 'Unlinked Passenger Trips': 417351, 'Passenger Paid Fares': 1432549.0, 'Average Fare': 3.432480094692477}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 16896.69404213117, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16896.69404213117, 'Unlinked Passenger Trips': 4571, 'Passenger Paid Fares': 15025.0, 'Average Fare': 3.2870269087726975}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 40100, 'Mode': 'CB', 'UACE Code': '85708', 'Gasoline (%)': None, 'Diesel (%)': 0.6788830050668596, 'LPG (%)': 49.66055849746657, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 49.66055849746657, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 15878.605316169533, 'LPG (Wh/pkm)': 30.098812080339947, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 122.74439111331759, 'Unlinked Passenger Trips': 3252, 'Passenger Paid Fares': 4407.0, 'Average Fare': 1.3551660516605166}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40100, 'Mode': 'MB', 'UACE Code': '85708', 'Gasoline (%)': 98.91133817591276, 'Diesel (%)': 1.0886618240872399, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2176.87873008573, 'Diesel (Wh/pkm)': 6854.532945547257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2536.1328210559054, 'Unlinked Passenger Trips': 65130, 'Passenger Paid Fares': 27882.0, 'Average Fare': 0.42809765085214185}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40128, 'Mode': 'DR', 'UACE Code': '61372', 'Gasoline (%)': 99.89343525659015, 'Diesel (%)': 0.10656474340985866, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2707.9671813896566, 'Diesel (Wh/pkm)': 90412.18846889121, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2801.4289597642974, 'Unlinked Passenger Trips': 42754, 'Passenger Paid Fares': 84839.0, 'Average Fare': 1.9843523413013986}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40172, 'Mode': 'MB', 'UACE Code': '38647', 'Gasoline (%)': 51.388016073889155, 'Diesel (%)': 48.611983926110845, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2772.565900596168, 'Diesel (Wh/pkm)': 11183.52903648416, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6861.301948245147, 'Unlinked Passenger Trips': 66990, 'Passenger Paid Fares': 12487.0, 'Average Fare': 0.1864009553664726}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3687.75569849124, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3687.75569849124, 'Unlinked Passenger Trips': 79450, 'Passenger Paid Fares': 95452.0, 'Average Fare': 1.201409691629956}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50006, 'Mode': 'MB', 'UACE Code': '73153', 'Gasoline (%)': None, 'Diesel (%)': 94.52400848623016, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 5.475991513769841, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3829.932739424055, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 330.06633771971286, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3638.280352273443, 'Unlinked Passenger Trips': 562384, 'Passenger Paid Fares': 813977.0, 'Average Fare': 1.447368701812285}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 50036, 'Mode': 'DR', 'UACE Code': '47719', 'Gasoline (%)': 99.3273372781065, 'Diesel (%)': 0.6726627218934911, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4527.51600620069, 'Diesel (Wh/pkm)': 7553.167197128314, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4547.868433856586, 'Unlinked Passenger Trips': 304282, 'Passenger Paid Fares': 578621.0, 'Average Fare': 1.9015945734548871}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9770.076090575289, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10816.179992738362, 'Unlinked Passenger Trips': 371256, 'Passenger Paid Fares': 200016.0, 'Average Fare': 0.5387549292132653}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 31.270196445726718, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8013.168611047374, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10523.720006010588, 'Unlinked Passenger Trips': 120503, 'Passenger Paid Fares': 73029.0, 'Average Fare': 0.6060347045301777}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50092, 'Mode': 'MB', 'UACE Code': '75637', 'Gasoline (%)': 44.9838557457398, 'Diesel (%)': 53.875466271362214, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.1406779828979914, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12.560441624222277, 'Diesel (Wh/pkm)': 3643.7222025610386, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 55.722364605332345, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1969.3581099487799, 'Unlinked Passenger Trips': 905901, 'Passenger Paid Fares': 377246.0, 'Average Fare': 0.4164318176047935}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': 85.23091794218183, 'Diesel (%)': 14.769082057818158, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1276.604075609194, 'Diesel (Wh/pkm)': 6634.838459323677, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2067.966108590213, 'Unlinked Passenger Trips': 11964, 'Passenger Paid Fares': 104489.0, 'Average Fare': 8.733617519224339}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 99.97214807937796, 'Diesel (%)': 0.02785192062202623, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 710.5440646012664, 'Diesel (Wh/pkm)': 2335439.7827217015, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1360.8109988912793, 'Unlinked Passenger Trips': 49730, 'Passenger Paid Fares': 31514.0, 'Average Fare': 0.6337019907500503}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 19.207973737763844, 'Diesel (%)': 80.79202626223615, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1183.815114402106, 'Diesel (Wh/pkm)': 4386.112320778349, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3771.0159143724536, 'Unlinked Passenger Trips': 126859, 'Passenger Paid Fares': 83187.0, 'Average Fare': 0.6557437785257648}\n", - "Removing RB outlier: expected (np.float64(-643.0794103826142), np.float64(1908.2956499236411)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3549.054971128427, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3549.054971128427, 'Unlinked Passenger Trips': 254999, 'Passenger Paid Fares': 39195.0, 'Average Fare': 0.15370648512347107}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 60009, 'Mode': 'DR', 'UACE Code': '47854', 'Gasoline (%)': 98.1899998174483, 'Diesel (%)': 1.810000182551708, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5778.252474470002, 'Diesel (Wh/pkm)': 38989.73184037338, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6379.3803116209765, 'Unlinked Passenger Trips': 25952, 'Passenger Paid Fares': 43219.0, 'Average Fare': 1.6653437114673242}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 77.95101020961978, 'LPG (%)': None, 'CNG (%)': 22.048989790380222, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7950.7989997623035, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1956.8212159653076, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6629.1874501752445, 'Unlinked Passenger Trips': 19460, 'Passenger Paid Fares': 42696.0, 'Average Fare': 2.1940390544707093}\n", - "Removing FB outlier: expected (np.float64(-2328.0705245033705), np.float64(9637.463913610158)), got {'NTD ID': 60017, 'Mode': 'FB', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 17774.29842701017, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17774.29842701017, 'Unlinked Passenger Trips': 1600, 'Passenger Paid Fares': 13636.0, 'Average Fare': 8.5225}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 60033, 'Mode': 'MB', 'UACE Code': '50392', 'Gasoline (%)': None, 'Diesel (%)': 2.868080253742839, 'LPG (%)': None, 'CNG (%)': 97.13191974625717, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8842.824221539893, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 421.94922186594954, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 663.4666749239652, 'Unlinked Passenger Trips': 1523138, 'Passenger Paid Fares': 911200.0, 'Average Fare': 0.5982386362890296}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 60077, 'Mode': 'MB', 'UACE Code': '79363', 'Gasoline (%)': None, 'Diesel (%)': 1.3922370637132013, 'LPG (%)': None, 'CNG (%)': 98.6077629362868, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6123.875378679828, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 828.6499223593771, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 902.3720137694469, 'Unlinked Passenger Trips': 315664, 'Passenger Paid Fares': 158408.0, 'Average Fare': 0.5018247250240763}\n", - "Removing FB outlier: expected (np.float64(-2328.0705245033705), np.float64(9637.463913610158)), got {'NTD ID': 60276, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 28043.167672984757, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 28043.167672984757, 'Unlinked Passenger Trips': 477166, 'Passenger Paid Fares': 207212.0, 'Average Fare': 0.4342555840105959}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 70045, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 99.46070878274269, 'Diesel (%)': 0.5392912172573189, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3933.217409432065, 'Diesel (Wh/pkm)': 81369.37435843238, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4350.823802839616, 'Unlinked Passenger Trips': 71317, 'Passenger Paid Fares': 60119.0, 'Average Fare': 0.842982739038378}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 80107, 'Mode': 'MB', 'UACE Code': '57736', 'Gasoline (%)': None, 'Diesel (%)': 32.15135690437462, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 67.84864309562538, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4351.716843240568, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 510.65684856418846, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1745.6097563637443, 'Unlinked Passenger Trips': 81853, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing CR outlier: expected (np.float64(-1556.6787303710416), np.float64(3494.8178918436797)), got {'NTD ID': 90030, 'Mode': 'CR', 'UACE Code': '78661', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4519.5617806492755, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4519.5617806492755, 'Unlinked Passenger Trips': 588409, 'Passenger Paid Fares': 2414292.0, 'Average Fare': 4.103084759070646}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 157547.2094530059, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 205563.8868549161, 'Unlinked Passenger Trips': 313168, 'Passenger Paid Fares': 268073.0, 'Average Fare': 0.8560038062637306}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4055.763124413998, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4055.763124413998, 'Unlinked Passenger Trips': 253191, 'Passenger Paid Fares': 303645.0, 'Average Fare': 1.1992724859888384}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 54.213518340018275, 'LPG (%)': None, 'CNG (%)': 45.786481659981725, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12144.836136760892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3283.9842652048524, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8087.763819672739, 'Unlinked Passenger Trips': 227111, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 13.257209850398558, 'LPG (%)': None, 'CNG (%)': 84.72859098129724, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9889444365378608, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4006.1497907459784, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 725.9118545185896, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 8300.427952675365, 'All Fuels (Wh/pkm)': 1266.4160372019553, 'Unlinked Passenger Trips': 6375964, 'Passenger Paid Fares': 3277514.0, 'Average Fare': 0.5140421119065289}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90171, 'Mode': 'MB', 'UACE Code': '79309', 'Gasoline (%)': None, 'Diesel (%)': 0.003763084900649105, 'LPG (%)': None, 'CNG (%)': 99.99623691509936, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4949.0877579862945, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 361.6515992279671, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 361.8242283453843, 'Unlinked Passenger Trips': 1643466, 'Passenger Paid Fares': 946331.0, 'Average Fare': 0.5758141634813254}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 90306, 'Mode': 'CB', 'UACE Code': '58006', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2716212.4748139814, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2716212.4748139814, 'Unlinked Passenger Trips': 33814, 'Passenger Paid Fares': 31331.0, 'Average Fare': 0.9265688767965932}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 40141, 'Mode': 'CB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': 50.0, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 50.0, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 8453.738450902334, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4226.869225451167, 'Unlinked Passenger Trips': 1411, 'Passenger Paid Fares': 7419.0, 'Average Fare': 5.257973068745571}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 50010, 'Mode': 'DR', 'UACE Code': '00766', 'Gasoline (%)': 47.29665745919714, 'Diesel (%)': 52.69809985353242, 'LPG (%)': None, 'CNG (%)': 0.005242687270427639, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2501.1495481555303, 'Diesel (Wh/pkm)': 4084.619504343046, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 12754.157067265212, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3336.145659937954, 'Unlinked Passenger Trips': 187405, 'Passenger Paid Fares': 401310.0, 'Average Fare': 2.1414049785224516}\n", - "Removing RB outlier: expected (np.float64(-643.0794103826142), np.float64(1908.2956499236411)), got {'NTD ID': 10003, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 28.057849211978464, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.7746075505533763, 'Other (%)': 68.16754323746815, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1845.570514186902, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2969.1198949045593, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 629.9000157093466, 'Unlinked Passenger Trips': 7433990, 'Passenger Paid Fares': 5998846.0, 'Average Fare': 0.8069483547865951}\n", - "Removing LR outlier: expected (np.float64(-341.7302668552495), np.float64(994.3577041578758)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1707.3390883361217, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1707.3390883361217, 'Unlinked Passenger Trips': 2195579, 'Passenger Paid Fares': 2501335.0, 'Average Fare': 1.1392598489965517}\n", - "Removing HR outlier: expected (np.float64(-53.97737866978282), np.float64(233.81543730553483)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 795.5822985219972, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 795.5822985219972, 'Unlinked Passenger Trips': 2252070, 'Passenger Paid Fares': 5717200.0, 'Average Fare': 2.538642226929003}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30083, 'Mode': 'MB', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': 99.22430600487375, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.7756939951262446, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1722.3394392620908, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 4566.158989934388, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1744.3987767488818, 'Unlinked Passenger Trips': 5150682, 'Passenger Paid Fares': 6185711.0, 'Average Fare': 1.2009498936257372}\n", - "Removing SR outlier: expected (np.float64(-1340.2643005732475), np.float64(3673.2512592503467)), got {'NTD ID': 30112, 'Mode': 'SR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 4184.658339442661, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4184.658339442661, 'Unlinked Passenger Trips': 267093, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing SR outlier: expected (np.float64(-1340.2643005732475), np.float64(3673.2512592503467)), got {'NTD ID': 40022, 'Mode': 'SR', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 4086.2485638435837, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4086.2485638435837, 'Unlinked Passenger Trips': 138135, 'Passenger Paid Fares': 35541.0, 'Average Fare': 0.2572917797806494}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.6111111111111112, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 6887.623746518632, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6576.144217431581, 'Unlinked Passenger Trips': 6156, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing HR outlier: expected (np.float64(-53.97737866978282), np.float64(233.81543730553483)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 254.83163306117646, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 254.83163306117646, 'Unlinked Passenger Trips': 2808149, 'Passenger Paid Fares': 3448306.0, 'Average Fare': 1.2279640432185044}\n", - "Removing LR outlier: expected (np.float64(-341.7302668552495), np.float64(994.3577041578758)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1701.1891044235497, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1701.1891044235497, 'Unlinked Passenger Trips': 681390, 'Passenger Paid Fares': 1177360.0, 'Average Fare': 1.7278797751654706}\n", - "Removing MG outlier: expected (np.float64(-2992.675376020887), np.float64(5957.048390518919)), got {'NTD ID': 50141, 'Mode': 'MG', 'UACE Code': '23824', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13386.325539067122, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13386.325539067122, 'Unlinked Passenger Trips': 57099, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing SR outlier: expected (np.float64(-1340.2643005732475), np.float64(3673.2512592503467)), got {'NTD ID': 70057, 'Mode': 'SR', 'UACE Code': '77770', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 5583.900256701395, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5583.900256701395, 'Unlinked Passenger Trips': 4367, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 90154, 'Mode': 'VP', 'UACE Code': '51445', 'Gasoline (%)': 91.79604209554003, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 8.203957904459967, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 313.3595884551232, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 12.882698142162338, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 288.7085908612175, 'Unlinked Passenger Trips': 1164264, 'Passenger Paid Fares': 9148488.0, 'Average Fare': 7.857743604543299}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 84.72859098129724, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9889444365378608, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 725.9118545185896, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 8300.427952675365, 'All Fuels (Wh/pkm)': 1266.4160372019553, 'Unlinked Passenger Trips': 6375964, 'Passenger Paid Fares': 3277514.0, 'Average Fare': 0.5140421119065289}\n", - "Removing YR outlier: expected (np.float64(-249.73446975399816), np.float64(1753.6333146783766)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2231.089470958053, 'Unlinked Passenger Trips': 103198, 'Passenger Paid Fares': 55326.0, 'Average Fare': 0.5361150409891664}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7839.583401736148, 'Unlinked Passenger Trips': 276522, 'Passenger Paid Fares': 216295.0, 'Average Fare': 0.7821981614482754}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 10045, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6179.186083611068, 'Unlinked Passenger Trips': 16209, 'Passenger Paid Fares': 12629.0, 'Average Fare': 0.7791350484298847}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 10053, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4065.909373059211, 'Unlinked Passenger Trips': 147697, 'Passenger Paid Fares': 107916.0, 'Average Fare': 0.7306580363853024}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2868.9496378302115, 'Unlinked Passenger Trips': 150161, 'Passenger Paid Fares': 31886.0, 'Average Fare': 0.2123454159202456}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 10107, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6423.163287820743, 'Unlinked Passenger Trips': 13717, 'Passenger Paid Fares': 27388.0, 'Average Fare': 1.9966464970474593}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4966.960111718936, 'Unlinked Passenger Trips': 87685, 'Passenger Paid Fares': 198350.0, 'Average Fare': 2.2620744711182073}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11882.320633298586, 'Unlinked Passenger Trips': 144761, 'Passenger Paid Fares': 328188.0, 'Average Fare': 2.2671023272842823}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20071, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10396.938156104681, 'Unlinked Passenger Trips': 52494, 'Passenger Paid Fares': 57947.0, 'Average Fare': 1.1038785384996381}\n", - "Removing FB outlier: expected (np.float64(-2328.0705245033705), np.float64(9637.463913610158)), got {'NTD ID': 20078, 'Mode': 'FB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16195.632816156321, 'Unlinked Passenger Trips': 70093, 'Passenger Paid Fares': 73528.0, 'Average Fare': 1.0490063201746251}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8933.759998173393, 'Unlinked Passenger Trips': 151723, 'Passenger Paid Fares': 233948.0, 'Average Fare': 1.5419415645617343}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 20178, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21133.46916387576, 'Unlinked Passenger Trips': 6743, 'Passenger Paid Fares': 34846.0, 'Average Fare': 5.167729497256414}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 20209, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 43.218134289529274, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2368.3845440718187, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3740.5484281541508, 'Unlinked Passenger Trips': 43822, 'Passenger Paid Fares': 42301.0, 'Average Fare': 0.9652914061430332}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30007, 'Mode': 'DR', 'UACE Code': '75421', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16702.497355908996, 'Unlinked Passenger Trips': 63328, 'Passenger Paid Fares': 202908.0, 'Average Fare': 3.204080343607883}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30011, 'Mode': 'DR', 'UACE Code': '01792', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 241223.02839271055, 'Unlinked Passenger Trips': 5086, 'Passenger Paid Fares': 17163.0, 'Average Fare': 3.374557609123083}\n", - "Removing LR outlier: expected (np.float64(-341.7302668552495), np.float64(994.3577041578758)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1707.3390883361217, 'Unlinked Passenger Trips': 2195579, 'Passenger Paid Fares': 2501335.0, 'Average Fare': 1.1392598489965517}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 30027, 'Mode': 'CB', 'UACE Code': '97750', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 18.56549826477323, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1092.3603300723523, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2753.0057860553748, 'Unlinked Passenger Trips': 23318, 'Passenger Paid Fares': 71511.0, 'Average Fare': 3.06677245046745}\n", - "Removing HR outlier: expected (np.float64(-53.97737866978282), np.float64(233.81543730553483)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 795.5822985219972, 'Unlinked Passenger Trips': 2252070, 'Passenger Paid Fares': 5717200.0, 'Average Fare': 2.538642226929003}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30035, 'Mode': 'DR', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7136.291821824249, 'Unlinked Passenger Trips': 3442, 'Passenger Paid Fares': 8947.0, 'Average Fare': 2.5993608367228354}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30051, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7844.775645032893, 'Unlinked Passenger Trips': 9047, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30058, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3703.995615250467, 'Unlinked Passenger Trips': 536110, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 30070, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9502.005792289234, 'Unlinked Passenger Trips': 2820, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30077, 'Mode': 'MB', 'UACE Code': '69076', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6478.447581653692, 'Unlinked Passenger Trips': 131888, 'Passenger Paid Fares': 145949.0, 'Average Fare': 1.1066131869465001}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 30078, 'Mode': 'VP', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 952.8845615666118, 'Unlinked Passenger Trips': 13020, 'Passenger Paid Fares': 121793.0, 'Average Fare': 9.354301075268816}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 30083, 'Mode': 'VP', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 765.6676640983907, 'Unlinked Passenger Trips': 48029, 'Passenger Paid Fares': 253959.0, 'Average Fare': 5.287617897520248}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.122955753776989, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2033.0298274504119, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3682.4909317135825, 'Unlinked Passenger Trips': 1849977, 'Passenger Paid Fares': 677711.0, 'Average Fare': 0.36633482470322604}\n", - "Removing SR outlier: expected (np.float64(-1340.2643005732475), np.float64(3673.2512592503467)), got {'NTD ID': 30112, 'Mode': 'SR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4184.658339442661, 'Unlinked Passenger Trips': 267093, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 40006, 'Mode': 'VP', 'UACE Code': '95833', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1167.4365690660263, 'Unlinked Passenger Trips': 92, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4616.873464472403, 'Unlinked Passenger Trips': 364210, 'Passenger Paid Fares': 249869.0, 'Average Fare': 0.6860574943027374}\n", - "Removing SR outlier: expected (np.float64(-1340.2643005732475), np.float64(3673.2512592503467)), got {'NTD ID': 40022, 'Mode': 'SR', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4086.2485638435837, 'Unlinked Passenger Trips': 138135, 'Passenger Paid Fares': 35541.0, 'Average Fare': 0.2572917797806494}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 893.3452363816174, 'Unlinked Passenger Trips': 19052, 'Passenger Paid Fares': 94443.0, 'Average Fare': 4.957117363006509}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5043.997611705384, 'Unlinked Passenger Trips': 3954, 'Passenger Paid Fares': 11094.0, 'Average Fare': 2.805766312594841}\n", - "Removing FB outlier: expected (np.float64(-2328.0705245033705), np.float64(9637.463913610158)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15723.049924063467, 'Unlinked Passenger Trips': 417351, 'Passenger Paid Fares': 1432549.0, 'Average Fare': 3.432480094692477}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': None, 'Diesel (%)': 46.83112939186592, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2870.2086602327427, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5093.778515847299, 'Unlinked Passenger Trips': 330181, 'Passenger Paid Fares': 310838.0, 'Average Fare': 0.9414169803834866}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40047, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6565.79190534954, 'Unlinked Passenger Trips': 4010, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16896.69404213117, 'Unlinked Passenger Trips': 4571, 'Passenger Paid Fares': 15025.0, 'Average Fare': 3.2870269087726975}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40078, 'Mode': 'DR', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5191.969370505025, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7196.20080639541, 'Unlinked Passenger Trips': 54052, 'Passenger Paid Fares': 25896.0, 'Average Fare': 0.479094205579812}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4446.3704056072875, 'Unlinked Passenger Trips': 25259, 'Passenger Paid Fares': 22347.0, 'Average Fare': 0.8847143592382913}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 40108, 'Mode': 'VP', 'UACE Code': '25228', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 700.5411533765777, 'Unlinked Passenger Trips': 28669, 'Passenger Paid Fares': 159175.0, 'Average Fare': 5.552164358714989}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 40141, 'Mode': 'CB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 50.0, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4226.869225451167, 'Unlinked Passenger Trips': 1411, 'Passenger Paid Fares': 7419.0, 'Average Fare': 5.257973068745571}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40172, 'Mode': 'MB', 'UACE Code': '38647', 'Gasoline (%)': 51.388016073889155, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2772.565900596168, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6861.301948245147, 'Unlinked Passenger Trips': 66990, 'Passenger Paid Fares': 12487.0, 'Average Fare': 0.1864009553664726}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6576.144217431581, 'Unlinked Passenger Trips': 6156, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 40185, 'Mode': 'DR', 'UACE Code': '67305', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10738.948512458246, 'Unlinked Passenger Trips': 45452, 'Passenger Paid Fares': 48945.0, 'Average Fare': 1.0768503036170025}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3687.75569849124, 'Unlinked Passenger Trips': 79450, 'Passenger Paid Fares': 95452.0, 'Average Fare': 1.201409691629956}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50006, 'Mode': 'MB', 'UACE Code': '73153', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 5.475991513769841, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 330.06633771971286, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3638.280352273443, 'Unlinked Passenger Trips': 562384, 'Passenger Paid Fares': 813977.0, 'Average Fare': 1.447368701812285}\n", - "Removing HR outlier: expected (np.float64(-53.97737866978282), np.float64(233.81543730553483)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 254.83163306117646, 'Unlinked Passenger Trips': 2808149, 'Passenger Paid Fares': 3448306.0, 'Average Fare': 1.2279640432185044}\n", - "Removing LR outlier: expected (np.float64(-341.7302668552495), np.float64(994.3577041578758)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1701.1891044235497, 'Unlinked Passenger Trips': 681390, 'Passenger Paid Fares': 1177360.0, 'Average Fare': 1.7278797751654706}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10816.179992738362, 'Unlinked Passenger Trips': 371256, 'Passenger Paid Fares': 200016.0, 'Average Fare': 0.5387549292132653}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10523.720006010588, 'Unlinked Passenger Trips': 120503, 'Passenger Paid Fares': 73029.0, 'Average Fare': 0.6060347045301777}\n", - "Removing MG outlier: expected (np.float64(-2992.675376020887), np.float64(5957.048390518919)), got {'NTD ID': 50141, 'Mode': 'MG', 'UACE Code': '23824', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13386.325539067122, 'Unlinked Passenger Trips': 57099, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': None, 'Diesel (%)': 99.02948329180052, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3513.8108804676667, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3757.6915931145295, 'Unlinked Passenger Trips': 574576, 'Passenger Paid Fares': 4062.0, 'Average Fare': 0.007069560858789786}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 115763.97825906903, 'Unlinked Passenger Trips': 178496, 'Passenger Paid Fares': 54716.0, 'Average Fare': 0.3065390821082825}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 50515, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7756.994980206935, 'Unlinked Passenger Trips': 2413, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 19.207973737763844, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1183.815114402106, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3771.0159143724536, 'Unlinked Passenger Trips': 126859, 'Passenger Paid Fares': 83187.0, 'Average Fare': 0.6557437785257648}\n", - "Removing RB outlier: expected (np.float64(-643.0794103826142), np.float64(1908.2956499236411)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3549.054971128427, 'Unlinked Passenger Trips': 254999, 'Passenger Paid Fares': 39195.0, 'Average Fare': 0.15370648512347107}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 22.048989790380222, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1956.8212159653076, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6629.1874501752445, 'Unlinked Passenger Trips': 19460, 'Passenger Paid Fares': 42696.0, 'Average Fare': 2.1940390544707093}\n", - "Removing FB outlier: expected (np.float64(-2328.0705245033705), np.float64(9637.463913610158)), got {'NTD ID': 60017, 'Mode': 'FB', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17774.29842701017, 'Unlinked Passenger Trips': 1600, 'Passenger Paid Fares': 13636.0, 'Average Fare': 8.5225}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 60095, 'Mode': 'DR', 'UACE Code': '90514', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 48924.66972509243, 'Unlinked Passenger Trips': 40417, 'Passenger Paid Fares': 27080.0, 'Average Fare': 0.6700150926590296}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 60101, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14799.732133224114, 'Unlinked Passenger Trips': 645805, 'Passenger Paid Fares': 577831.0, 'Average Fare': 0.894745317859106}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4939.82825314824, 'Unlinked Passenger Trips': 32228, 'Passenger Paid Fares': 25435.0, 'Average Fare': 0.7892205535559141}\n", - "Removing FB outlier: expected (np.float64(-2328.0705245033705), np.float64(9637.463913610158)), got {'NTD ID': 60276, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 28043.167672984757, 'Unlinked Passenger Trips': 477166, 'Passenger Paid Fares': 207212.0, 'Average Fare': 0.4342555840105959}\n", - "Removing SR outlier: expected (np.float64(-1340.2643005732475), np.float64(3673.2512592503467)), got {'NTD ID': 70057, 'Mode': 'SR', 'UACE Code': '77770', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5583.900256701395, 'Unlinked Passenger Trips': 4367, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 90022, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8855.764245031576, 'Unlinked Passenger Trips': 9966, 'Passenger Paid Fares': 9741.0, 'Average Fare': 0.9774232390126429}\n", - "Removing CR outlier: expected (np.float64(-1556.6787303710416), np.float64(3494.8178918436797)), got {'NTD ID': 90030, 'Mode': 'CR', 'UACE Code': '78661', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4519.5617806492755, 'Unlinked Passenger Trips': 588409, 'Passenger Paid Fares': 2414292.0, 'Average Fare': 4.103084759070646}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 957.8755260280093, 'Unlinked Passenger Trips': 17110, 'Passenger Paid Fares': 141154.0, 'Average Fare': 8.24979544126242}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 205563.8868549161, 'Unlinked Passenger Trips': 313168, 'Passenger Paid Fares': 268073.0, 'Average Fare': 0.8560038062637306}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4055.763124413998, 'Unlinked Passenger Trips': 253191, 'Passenger Paid Fares': 303645.0, 'Average Fare': 1.1992724859888384}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 90121, 'Mode': 'CB', 'UACE Code': '67140', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 170.1134638733645, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22812.546849755556, 'Unlinked Passenger Trips': 109871, 'Passenger Paid Fares': 688175.0, 'Average Fare': 6.263481719471016}\n", - "Removing MB outlier: expected (np.float64(-829.6834526485219), np.float64(3620.955325841618)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 45.786481659981725, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3283.9842652048524, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8087.763819672739, 'Unlinked Passenger Trips': 227111, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 628.9383770929793, 'Unlinked Passenger Trips': 65470, 'Passenger Paid Fares': 493275.0, 'Average Fare': 7.534366885596456}\n", - "Removing VP outlier: expected (np.float64(20.310248444563683), np.float64(617.8317531621694)), got {'NTD ID': 90222, 'Mode': 'VP', 'UACE Code': '88732', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2026.4975161096725, 'Unlinked Passenger Trips': 24945, 'Passenger Paid Fares': 172478.0, 'Average Fare': 6.914331529364602}\n", - "Removing DR outlier: expected (np.float64(-659.8696295189961), np.float64(6389.015186640675)), got {'NTD ID': 90232, 'Mode': 'DR', 'UACE Code': '90028', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 25.10419404498179, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1345.658347656863, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7788.223346285798, 'Unlinked Passenger Trips': 15435, 'Passenger Paid Fares': 49135.0, 'Average Fare': 3.183349530288306}\n", - "Removing CB outlier: expected (np.float64(-1103.2455702471668), np.float64(2540.8492594653853)), got {'NTD ID': 90306, 'Mode': 'CB', 'UACE Code': '58006', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2716212.4748139814, 'Unlinked Passenger Trips': 33814, 'Passenger Paid Fares': 31331.0, 'Average Fare': 0.9265688767965932}\n", - "DR desc: count 884.000000\n", - "mean 2747.678112\n", - "std 1343.365462\n", - "min 8.837269\n", - "25% 1802.797044\n", - "50% 2769.884643\n", - "75% 3688.548275\n", - "max 6379.380312\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 16, 'Mode': 'DR', 'UACE Code': '51283', 'Gasoline (%)': 33.073059097843924, 'Diesel (%)': None, 'LPG (%)': 66.92694090215609, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14526.566816514662, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 10028.823832256909, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11516.365027509604, 'Unlinked Passenger Trips': 62271, 'Passenger Paid Fares': 17570.0, 'Average Fare': 0.2821538115655763, 'Average Passengers': 0.6866438536456962}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 10001, 'Mode': 'DR', 'UACE Code': '72505', 'Gasoline (%)': 2.5641052999974394, 'Diesel (%)': 97.43589470000256, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 69532.80012991164, 'Diesel (Wh/pkm)': 2400.124271035841, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4121.476770763377, 'Unlinked Passenger Trips': 539284, 'Passenger Paid Fares': 209661.0, 'Average Fare': 0.38877660008455656, 'Average Passengers': 1.6056258831623405}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 10001, 'Mode': 'VP', 'UACE Code': '72505', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2197.2902508199936, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2197.2902508199936, 'Unlinked Passenger Trips': 149888, 'Passenger Paid Fares': 422509.0, 'Average Fare': 2.8188313941076, 'Average Passengers': 5.511015511936227}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 10050, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 1.8389421281626155, 'Diesel (%)': 98.16105787183739, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17471.74952842521, 'Diesel (Wh/pkm)': 4702.789080438735, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4937.602873445181, 'Unlinked Passenger Trips': 139447, 'Passenger Paid Fares': 107730.0, 'Average Fare': 0.7725515787360072, 'Average Passengers': 0.9099730006028992}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 10053, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': 10.793659505424959, 'Diesel (%)': 89.20634049457504, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8215.8922467681, 'Diesel (Wh/pkm)': 7807.791221747359, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7851.840256826246, 'Unlinked Passenger Trips': 275590, 'Passenger Paid Fares': 107916.0, 'Average Fare': 0.3915816974491092, 'Average Passengers': 1.1386146975465918}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 10057, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 86.56973853755542, 'Diesel (%)': 13.430261462444578, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13228.33796675138, 'Diesel (Wh/pkm)': 7497.443616755532, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12458.663871410474, 'Unlinked Passenger Trips': 208272, 'Passenger Paid Fares': 136523.0, 'Average Fare': 0.6555033801951294, 'Average Passengers': 0.7282405561089541}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 5.037660738322307, 'Diesel (%)': 94.9623392616777, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8048.167300208616, 'Diesel (Wh/pkm)': 4093.0872896558326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4292.330802516683, 'Unlinked Passenger Trips': 188092, 'Passenger Paid Fares': 113529.0, 'Average Fare': 0.6035822895178955, 'Average Passengers': 1.485138213293753}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 10118, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': 4.017499994987398, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 95.98250000501261, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11010.79982583922, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1099.969199322011, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1498.1368192455495, 'Unlinked Passenger Trips': 547489, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.3086543682925063}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 10128, 'Mode': 'DR', 'UACE Code': '92485', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 18092.5438139498, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18092.5438139498, 'Unlinked Passenger Trips': 166059, 'Passenger Paid Fares': 97342.0, 'Average Fare': 0.5861892459908827, 'Average Passengers': 0.7332645656409604}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 20002, 'Mode': 'VP', 'UACE Code': '00970', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1866.5339573170759, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1866.5339573170759, 'Unlinked Passenger Trips': 157260, 'Passenger Paid Fares': 521920.0, 'Average Fare': 3.318835050235279, 'Average Passengers': 4.727943351807635}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 23550.99702441095, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 23550.99702441095, 'Unlinked Passenger Trips': 318910, 'Passenger Paid Fares': 328188.0, 'Average Fare': 1.0290928475118373, 'Average Passengers': 0.5669202732178591}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 20209, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': 50.10872099985504, 'Diesel (%)': 49.89127900014496, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10002.922353260432, 'Diesel (Wh/pkm)': 4062.8998498659357, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7039.36915342049, 'Unlinked Passenger Trips': 93136, 'Passenger Paid Fares': 42301.0, 'Average Fare': 0.4541852774437382, 'Average Passengers': 1.6493592432630442}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30007, 'Mode': 'DR', 'UACE Code': '75421', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 52697.76484237195, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52697.76484237195, 'Unlinked Passenger Trips': 133561, 'Passenger Paid Fares': 202908.0, 'Average Fare': 1.5192159387845254, 'Average Passengers': 0.8984697657569433}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30011, 'Mode': 'DR', 'UACE Code': '01792', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 112995.33267266318, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 112995.33267266318, 'Unlinked Passenger Trips': 5135, 'Passenger Paid Fares': 17163.0, 'Average Fare': 3.342356377799416, 'Average Passengers': 0.7998786734968995}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 30078, 'Mode': 'VP', 'UACE Code': '69697', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2144.9875302606197, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2144.9875302606197, 'Unlinked Passenger Trips': 35189, 'Passenger Paid Fares': 121793.0, 'Average Fare': 3.461110005967774, 'Average Passengers': 3.713771699414501}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 30083, 'Mode': 'VP', 'UACE Code': '90892', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2331.098916545005, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2331.098916545005, 'Unlinked Passenger Trips': 87194, 'Passenger Paid Fares': 253959.0, 'Average Fare': 2.9125742596967683, 'Average Passengers': 5.8840098925588915}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30094, 'Mode': 'DR', 'UACE Code': '37162', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14591.398571605001, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14591.398571605001, 'Unlinked Passenger Trips': 71810, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6640584321666184}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40009, 'Mode': 'DR', 'UACE Code': '29440', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17436.22324617453, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22914.537658626286, 'Unlinked Passenger Trips': 134666, 'Passenger Paid Fares': 215.0, 'Average Fare': 0.001596542557141372, 'Average Passengers': 1.0156626630957868}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3592.241836868038, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3592.241836868038, 'Unlinked Passenger Trips': 36581, 'Passenger Paid Fares': 94443.0, 'Average Fare': 2.5817500888439353, 'Average Passengers': 3.8750885605619296}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40036, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 33.88498245647174, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 66.11501754352825, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 26608.16626654452, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1654.3436337335893, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10109.942055080648, 'Unlinked Passenger Trips': 236627, 'Passenger Paid Fares': 280700.0, 'Average Fare': 1.186255161076293, 'Average Passengers': 1.023051755295049}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10905.644163742663, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10905.644163742663, 'Unlinked Passenger Trips': 8766, 'Passenger Paid Fares': 11094.0, 'Average Fare': 1.265571526351814, 'Average Passengers': 0.5745108821190645}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40047, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14409.355921588514, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14409.355921588514, 'Unlinked Passenger Trips': 7644, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.4797364216197657}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10690.322512198654, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10690.322512198654, 'Unlinked Passenger Trips': 52366, 'Passenger Paid Fares': 22347.0, 'Average Fare': 0.42674636214337547, 'Average Passengers': 0.5325020494830668}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 40108, 'Mode': 'VP', 'UACE Code': '25228', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1861.9423169455172, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1861.9423169455172, 'Unlinked Passenger Trips': 61998, 'Passenger Paid Fares': 159175.0, 'Average Fare': 2.5674215297267655, 'Average Passengers': 4.033837545477241}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40172, 'Mode': 'MB', 'UACE Code': '38647', 'Gasoline (%)': 9.842257971173172, 'Diesel (%)': 90.15774202882683, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 43313.41757250649, 'Diesel (Wh/pkm)': 14493.13673189054, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17329.70312024056, 'Unlinked Passenger Trips': 127836, 'Passenger Paid Fares': 12487.0, 'Average Fare': 0.097679839794737, 'Average Passengers': 1.0615759708044965}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 51059.92156714495, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 51217.04192366043, 'Unlinked Passenger Trips': 163792, 'Passenger Paid Fares': 116071.0, 'Average Fare': 0.7086487740548989, 'Average Passengers': 0.8491520463210518}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 50010, 'Mode': 'DR', 'UACE Code': '00766', 'Gasoline (%)': 47.16589821318113, 'Diesel (%)': 52.83410178681886, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13377.345938246746, 'Diesel (Wh/pkm)': 9490.928314574883, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11324.89008365116, 'Unlinked Passenger Trips': 381433, 'Passenger Paid Fares': 401310.0, 'Average Fare': 1.0521113799802324, 'Average Passengers': 0.6196750113506755}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 68.9131315042014, 'Diesel (%)': 31.08686849579859, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 22131.546770219917, 'Diesel (Wh/pkm)': 15788.623697392359, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 20159.73061578035, 'Unlinked Passenger Trips': 253131, 'Passenger Paid Fares': 73029.0, 'Average Fare': 0.288502791044953, 'Average Passengers': 0.36537862678280675}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50056, 'Mode': 'MB', 'UACE Code': '68509', 'Gasoline (%)': 0.8887917865364682, 'Diesel (%)': 96.03190073930068, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.079307474162852, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8225.554071813476, 'Diesel (Wh/pkm)': 2930.2055399834253, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 494.078477970875, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2902.254320102154, 'Unlinked Passenger Trips': 3275336, 'Passenger Paid Fares': 1006301.0, 'Average Fare': 0.307235959913731, 'Average Passengers': 3.5713471009540054}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50059, 'Mode': 'MB', 'UACE Code': '83899', 'Gasoline (%)': 0.2220059358066043, 'Diesel (%)': 61.1066016060631, 'LPG (%)': None, 'CNG (%)': 38.67139245813029, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 35396.87044006015, 'Diesel (Wh/pkm)': 4133.331887900756, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1575.414568936401, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3213.5565540585453, 'Unlinked Passenger Trips': 2187113, 'Passenger Paid Fares': 485762.0, 'Average Fare': 0.22210192157423964, 'Average Passengers': 2.156337575154116}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': 1.9253197213894877, 'Diesel (%)': 98.07468027861051, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 26897.555043291093, 'Diesel (Wh/pkm)': 8082.756952045609, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8445.001970235971, 'Unlinked Passenger Trips': 1193506, 'Passenger Paid Fares': 4062.0, 'Average Fare': 0.0034034181646342794, 'Average Passengers': 1.6198928973435014}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 127223.6734691256, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 242425.15486613946, 'Unlinked Passenger Trips': 348159, 'Passenger Paid Fares': 54716.0, 'Average Fare': 0.1571580800726105, 'Average Passengers': 2.1027758129547824}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': 80.00015598068958, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 19.99984401931041, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14134.366045424002, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3855.731271071483, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21626.573576596904, 'Unlinked Passenger Trips': 37884, 'Passenger Paid Fares': 42696.0, 'Average Fare': 1.1270193221412734, 'Average Passengers': 0.4314199856696444}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60090, 'Mode': 'MB', 'UACE Code': '52390', 'Gasoline (%)': 43.11197427904624, 'Diesel (%)': 56.88802572095376, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7941.413803507547, 'Diesel (Wh/pkm)': 6049.451203816525, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6865.113633164492, 'Unlinked Passenger Trips': 543576, 'Passenger Paid Fares': 464116.0, 'Average Fare': 0.8538198890311567, 'Average Passengers': 1.2969212894160882}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60095, 'Mode': 'MB', 'UACE Code': '90514', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7650.0824941842775, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7650.0824941842775, 'Unlinked Passenger Trips': 416981, 'Passenger Paid Fares': 105.0, 'Average Fare': 0.0002518100345099657, 'Average Passengers': 0.8273464951441158}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 60101, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 27591.515328878657, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 27591.515328878657, 'Unlinked Passenger Trips': 1529865, 'Passenger Paid Fares': 577831.0, 'Average Fare': 0.37770064678909576, 'Average Passengers': 1.024113078168899}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 69729.99318659655, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 69729.99318659655, 'Unlinked Passenger Trips': 64030, 'Passenger Paid Fares': 25435.0, 'Average Fare': 0.3972356707793222, 'Average Passengers': 1.4230723902417124}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90001, 'Mode': 'DR', 'UACE Code': '74179', 'Gasoline (%)': 3.7271355198216587, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 96.27286448017834, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 19669.28886040823, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1640.3809791451183, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2312.342808623602, 'Unlinked Passenger Trips': 309067, 'Passenger Paid Fares': 277279.0, 'Average Fare': 0.8971485147233448, 'Average Passengers': 0.8679834719005647}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90010, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': 0.8919136937421422, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.10808630625785, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6610.93058273075, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 579.4022820467183, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 633.1983089024518, 'Unlinked Passenger Trips': 3910118, 'Passenger Paid Fares': 412486.0, 'Average Fare': 0.10549195702022292, 'Average Passengers': 6.892031096726745}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90022, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14835.33763860435, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14835.33763860435, 'Unlinked Passenger Trips': 27046, 'Passenger Paid Fares': 9741.0, 'Average Fare': 0.36016416475634105, 'Average Passengers': 0.5138791532314594}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90022, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': 0.08513308096014784, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 89.68053912238283, 'Hydrogen (%)': None, 'Electric (%)': 10.234327796657015, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 324729.5738784224, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 988.499808507485, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 490.59351038649754, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1213.1531965267757, 'Unlinked Passenger Trips': 1812148, 'Passenger Paid Fares': 208327.0, 'Average Fare': 0.1149613607718575, 'Average Passengers': 3.379737725655242}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90026, 'Mode': 'DR', 'UACE Code': '78661', 'Gasoline (%)': 0.4322850251993019, 'Diesel (%)': None, 'LPG (%)': 99.56771497480071, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15345.619885001799, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 2547.1619194936425, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2602.4877367349623, 'Unlinked Passenger Trips': 442828, 'Passenger Paid Fares': 576939.0, 'Average Fare': 1.3028512198867281, 'Average Passengers': 1.1780859534178625}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90026, 'Mode': 'MB', 'UACE Code': '78661', 'Gasoline (%)': 0.19643779829032468, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 98.89835514636924, 'Hydrogen (%)': None, 'Electric (%)': 0.9052070553404306, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8336.398376121439, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 618.9811785745509, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 539.8207713317878, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 716.9130721677872, 'Unlinked Passenger Trips': 59717765, 'Passenger Paid Fares': 22291337.0, 'Average Fare': 0.37327815265691877, 'Average Passengers': 5.436850615016344}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5695.764846673871, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5695.764846673871, 'Unlinked Passenger Trips': 37058, 'Passenger Paid Fares': 141154.0, 'Average Fare': 3.809002104808678, 'Average Passengers': 5.122754693783992}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90086, 'Mode': 'DR', 'UACE Code': '75340', 'Gasoline (%)': 0.1604269044362261, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.83957309556378, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 19749.974584748306, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1201.071701794443, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1230.829132496448, 'Unlinked Passenger Trips': 139332, 'Passenger Paid Fares': 168452.0, 'Average Fare': 1.2089972152843569, 'Average Passengers': 1.3419828319735723}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90087, 'Mode': 'DR', 'UACE Code': '79417', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 29980.809894181835, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 29980.809894181835, 'Unlinked Passenger Trips': 33543, 'Passenger Paid Fares': 30954.0, 'Average Fare': 0.9228154905643502, 'Average Passengers': 1.4286060071431643}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90087, 'Mode': 'MB', 'UACE Code': '79417', 'Gasoline (%)': 1.7669894354662916, 'Diesel (%)': 98.23301056453371, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 30000.922921535523, 'Diesel (Wh/pkm)': 5896.999096481329, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6322.91288400288, 'Unlinked Passenger Trips': 812843, 'Passenger Paid Fares': 570601.0, 'Average Fare': 0.7019818095253327, 'Average Passengers': 1.5700839435818374}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90148, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1787.1589137047943, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1787.1589137047943, 'Unlinked Passenger Trips': 895513, 'Passenger Paid Fares': 2844735.0, 'Average Fare': 3.176654051923311, 'Average Passengers': 4.73768463910846}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90173, 'Mode': 'MB', 'UACE Code': '56251', 'Gasoline (%)': 12.219352182939524, 'Diesel (%)': 87.78064781706047, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10127.374624215925, 'Diesel (Wh/pkm)': 5104.8838261546325, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5718.599665125474, 'Unlinked Passenger Trips': 936309, 'Passenger Paid Fares': 364424.0, 'Average Fare': 0.38921339002401983, 'Average Passengers': 1.670479029767763}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90196, 'Mode': 'VP', 'UACE Code': '77068', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1534.3552564501288, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1534.3552564501288, 'Unlinked Passenger Trips': 5291, 'Passenger Paid Fares': 11930.0, 'Average Fare': 2.254772254772255, 'Average Passengers': 2.3795161667423086}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1320.0368900661624, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1320.0368900661624, 'Unlinked Passenger Trips': 141224, 'Passenger Paid Fares': 493275.0, 'Average Fare': 3.4928553220415792, 'Average Passengers': 3.6729118709113027}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90219, 'Mode': 'VP', 'UACE Code': '29818', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1300.8911463372613, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1300.8911463372613, 'Unlinked Passenger Trips': 24948, 'Passenger Paid Fares': 57947.0, 'Average Fare': 2.322711239377906, 'Average Passengers': 4.456174355767942}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90232, 'Mode': 'DR', 'UACE Code': '90028', 'Gasoline (%)': 75.63181875182879, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 24.36818124817122, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12791.205863217838, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2355.368773875403, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10248.182166523, 'Unlinked Passenger Trips': 34787, 'Passenger Paid Fares': 49135.0, 'Average Fare': 1.412452927817863, 'Average Passengers': 0.7083663477436464}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90234, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13447.414013178899, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13447.414013178899, 'Unlinked Passenger Trips': 97402, 'Passenger Paid Fares': 226819.0, 'Average Fare': 2.3286893492946756, 'Average Passengers': 0.7431194864071013}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 8, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 2.5726152163411418, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.9689232920035886, 'Other (%)': 96.45846149165529, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 40521.835031047376, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 769.8886840225349, 'Other (Wh/pkm)': 1054.896434560413, 'All Fuels (Wh/pkm)': 2067.4673958386747, 'Unlinked Passenger Trips': 65454831, 'Passenger Paid Fares': 21419305.0, 'Average Fare': 0.3272379543688685, 'Average Passengers': 4.557899857000712}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13800.867444617297, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13800.867444617297, 'Unlinked Passenger Trips': 616594, 'Passenger Paid Fares': 216295.0, 'Average Fare': 0.3507899849820141, 'Average Passengers': 1.2670178442523372}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 10017, 'Mode': 'DR', 'UACE Code': '37243', 'Gasoline (%)': 98.15919230592165, 'Diesel (%)': 1.840807694078344, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4211.254759866942, 'Diesel (Wh/pkm)': 16495.49122787721, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4437.383929928851, 'Unlinked Passenger Trips': 911090, 'Passenger Paid Fares': 1065033.0, 'Average Fare': 1.1689657443282222, 'Average Passengers': 0.9200007207583294}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 10053, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 89.20634049457504, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7807.791221747359, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7851.840256826246, 'Unlinked Passenger Trips': 275590, 'Passenger Paid Fares': 107916.0, 'Average Fare': 0.3915816974491092, 'Average Passengers': 1.1386146975465918}\n", + "Removing CR outlier: expected (np.float64(-1407.6915738366658), np.float64(4178.672985760207)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 0.8263771363697018, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 99.1736228636303, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 98594.38359550854, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 171.6188872076671, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 984.9621117400134, 'Unlinked Passenger Trips': 363103, 'Passenger Paid Fares': 879923.0, 'Average Fare': 2.423342687887459, 'Average Passengers': 13.957800179606837}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9983.144697281592, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9983.144697281592, 'Unlinked Passenger Trips': 181289, 'Passenger Paid Fares': 198350.0, 'Average Fare': 1.094109405424488, 'Average Passengers': 1.1321149219432727}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 20071, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7138.158182078652, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26768.141745048528, 'Unlinked Passenger Trips': 101731, 'Passenger Paid Fares': 57947.0, 'Average Fare': 0.569610050033913, 'Average Passengers': 0.6189128423786856}\n", + "Removing FB outlier: expected (np.float64(-3328.457190484478), np.float64(17568.496908899426)), got {'NTD ID': 20078, 'Mode': 'FB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 26174.70866170893, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26174.70866170893, 'Unlinked Passenger Trips': 168000, 'Passenger Paid Fares': 73528.0, 'Average Fare': 0.43766666666666665, 'Average Passengers': 7.20041624832664}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 17186.005778786195, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17186.005778786195, 'Unlinked Passenger Trips': 332811, 'Passenger Paid Fares': 233948.0, 'Average Fare': 0.7029455156229812, 'Average Passengers': 0.6225203503143464}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 30013, 'Mode': 'MB', 'UACE Code': '27766', 'Gasoline (%)': None, 'Diesel (%)': 29.39229301572927, 'LPG (%)': None, 'CNG (%)': 70.60770698427072, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7548.549684833332, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1759.4415964740765, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3460.9932088019127, 'Unlinked Passenger Trips': 2268616, 'Passenger Paid Fares': 753904.0, 'Average Fare': 0.33231891161836113, 'Average Passengers': 1.4994549532799297}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 30015, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': 14.826882319240061, 'LPG (%)': None, 'CNG (%)': 85.17311768075993, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10807.64361081651, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1250.770265418459, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2667.7566297394496, 'Unlinked Passenger Trips': 1428389, 'Passenger Paid Fares': 799957.0, 'Average Fare': 0.5600414172889878, 'Average Passengers': 2.247978709655725}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 30044, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': 26.09618289117719, 'LPG (%)': None, 'CNG (%)': 73.9038171088228, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7100.57601701269, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1131.5151293050685, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2689.2121754469736, 'Unlinked Passenger Trips': 343261, 'Passenger Paid Fares': 283116.0, 'Average Fare': 0.82478347379982, 'Average Passengers': 1.6991126304183881}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30051, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13247.454824680657, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13247.454824680657, 'Unlinked Passenger Trips': 22225, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.3243851442341768}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 30077, 'Mode': 'MB', 'UACE Code': '69076', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10047.467199262714, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10047.467199262714, 'Unlinked Passenger Trips': 265714, 'Passenger Paid Fares': 145949.0, 'Average Fare': 0.5492710207215277, 'Average Passengers': 0.7749733510760591}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 30095, 'Mode': 'MB', 'UACE Code': '48664', 'Gasoline (%)': None, 'Diesel (%)': 32.63434652644266, 'LPG (%)': None, 'CNG (%)': 67.36565347355736, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7737.690217193474, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 920.6495848434274, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3145.3462476529394, 'Unlinked Passenger Trips': 391464, 'Passenger Paid Fares': 201113.0, 'Average Fare': 0.5137458361432979, 'Average Passengers': 2.3669974184690226}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40003, 'Mode': 'DR', 'UACE Code': '56116', 'Gasoline (%)': 98.22225101916183, 'Diesel (%)': 1.777748980838162, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3016.1137680036904, 'Diesel (Wh/pkm)': 124098.68475053289, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5168.657939618248, 'Unlinked Passenger Trips': 457189, 'Passenger Paid Fares': 130540.0, 'Average Fare': 0.28552742957507726, 'Average Passengers': 0.8876304802380173}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40006, 'Mode': 'MB', 'UACE Code': '95833', 'Gasoline (%)': None, 'Diesel (%)': 8.827665539124554, 'LPG (%)': None, 'CNG (%)': 91.17233446087545, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8851.555686966267, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1899.7913259192055, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2513.4698327804995, 'Unlinked Passenger Trips': 1331626, 'Passenger Paid Fares': 479100.0, 'Average Fare': 0.3597857055960157, 'Average Passengers': 1.5539237428132804}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40015, 'Mode': 'DR', 'UACE Code': '42211', 'Gasoline (%)': 99.59118708113671, 'Diesel (%)': 0.40881291886329385, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5253.738780457738, 'Diesel (Wh/pkm)': 70696.88613799996, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5521.278821366113, 'Unlinked Passenger Trips': 110135, 'Passenger Paid Fares': 78898.0, 'Average Fare': 0.7163753575157761, 'Average Passengers': 0.9848896098593324}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8240.471254987337, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8240.471254987337, 'Unlinked Passenger Trips': 753423, 'Passenger Paid Fares': 249869.0, 'Average Fare': 0.33164503870999423, 'Average Passengers': 0.992860693583805}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40023, 'Mode': 'DR', 'UACE Code': '04222', 'Gasoline (%)': 52.87092932528438, 'Diesel (%)': 47.129070674715614, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4574.076774701687, 'Diesel (Wh/pkm)': 16458.07267071097, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10174.893599512205, 'Unlinked Passenger Trips': 39411, 'Passenger Paid Fares': 51626.0, 'Average Fare': 1.3099388495597675, 'Average Passengers': 0.6573186297544182}\n", + "Removing FB outlier: expected (np.float64(-3328.457190484478), np.float64(17568.496908899426)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 37659.184246397, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37659.184246397, 'Unlinked Passenger Trips': 722249, 'Passenger Paid Fares': 1432549.0, 'Average Fare': 1.9834558441756236, 'Average Passengers': 20.786985193480152}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': 80.26671270315656, 'Diesel (%)': 19.733287296843436, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5123.8482098243085, 'Diesel (Wh/pkm)': 6981.3388580897745, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5490.392175958534, 'Unlinked Passenger Trips': 737631, 'Passenger Paid Fares': 310838.0, 'Average Fare': 0.421400402098068, 'Average Passengers': 1.3102076453625002}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 20471.935523972756, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 20471.935523972756, 'Unlinked Passenger Trips': 18652, 'Passenger Paid Fares': 15025.0, 'Average Fare': 0.8055436414325542, 'Average Passengers': 0.5493794960996615}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40078, 'Mode': 'DR', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 17859.15003819983, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 36515.08583111387, 'Unlinked Passenger Trips': 105284, 'Passenger Paid Fares': 25896.0, 'Average Fare': 0.24596329926674518, 'Average Passengers': 0.8446370977702502}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40078, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 94.47000195965788, 'LPG (%)': None, 'CNG (%)': 5.529998040342128, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9601.12295473295, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1537.6257388774206, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9155.211716713098, 'Unlinked Passenger Trips': 1723685, 'Passenger Paid Fares': 1811628.0, 'Average Fare': 1.0510203430441176, 'Average Passengers': 1.2437443691969183}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40100, 'Mode': 'CB', 'UACE Code': '85708', 'Gasoline (%)': None, 'Diesel (%)': 0.14742943548387094, 'LPG (%)': 99.85257056451613, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 141655.25598486242, 'LPG (Wh/pkm)': 181.84999823595984, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 390.42344204184815, 'Unlinked Passenger Trips': 6460, 'Passenger Paid Fares': 4407.0, 'Average Fare': 0.6821981424148607, 'Average Passengers': 2.3318463857533476}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40100, 'Mode': 'MB', 'UACE Code': '85708', 'Gasoline (%)': 99.57415228031735, 'Diesel (%)': 0.42584771968264623, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4603.6880333127065, 'Diesel (Wh/pkm)': 27770.38862584883, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5339.429838723973, 'Unlinked Passenger Trips': 126496, 'Passenger Paid Fares': 27882.0, 'Average Fare': 0.2204180369339742, 'Average Passengers': 1.3048472468882195}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40128, 'Mode': 'DR', 'UACE Code': '61372', 'Gasoline (%)': 99.99663355884, 'Diesel (%)': 0.0033664411599948294, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4345.5672588302405, 'Diesel (Wh/pkm)': 3908654.3013623892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4477.003515068377, 'Unlinked Passenger Trips': 90767, 'Passenger Paid Fares': 84839.0, 'Average Fare': 0.9346899203455, 'Average Passengers': 0.8256424972724492}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40138, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4771.916508138813, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4771.916508138813, 'Unlinked Passenger Trips': 293650, 'Passenger Paid Fares': 690668.0, 'Average Fare': 2.3520108973267497, 'Average Passengers': 4.429610681708983}\n", + "Removing CR outlier: expected (np.float64(-1407.6915738366658), np.float64(4178.672985760207)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5589.00165081236, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5589.00165081236, 'Unlinked Passenger Trips': 177662, 'Passenger Paid Fares': 267101.0, 'Average Fare': 1.503422228726458, 'Average Passengers': 19.411027985946227}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40172, 'Mode': 'MB', 'UACE Code': '38647', 'Gasoline (%)': None, 'Diesel (%)': 90.15774202882683, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 14493.13673189054, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17329.70312024056, 'Unlinked Passenger Trips': 127836, 'Passenger Paid Fares': 12487.0, 'Average Fare': 0.097679839794737, 'Average Passengers': 1.0615759708044965}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40192, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4437.706190737063, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4437.706190737063, 'Unlinked Passenger Trips': 20528, 'Passenger Paid Fares': 11016.0, 'Average Fare': 0.5366328916601715, 'Average Passengers': 1.395904215576701}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6745.11682611536, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6745.11682611536, 'Unlinked Passenger Trips': 172018, 'Passenger Paid Fares': 95452.0, 'Average Fare': 0.5548954179213803, 'Average Passengers': 1.200807939577093}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50016, 'Mode': 'MB', 'UACE Code': '19234', 'Gasoline (%)': None, 'Diesel (%)': 8.21089250851633, 'LPG (%)': None, 'CNG (%)': 91.17489574303572, 'Hydrogen (%)': None, 'Electric (%)': 0.6142117484479426, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7628.443158025582, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1060.9152396428162, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 500.2157815035251, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1596.7240155426496, 'Unlinked Passenger Trips': 21076433, 'Passenger Paid Fares': 11024676.0, 'Average Fare': 0.5230807319246098, 'Average Passengers': 3.7579715730456216}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50028, 'Mode': 'MB', 'UACE Code': '77338', 'Gasoline (%)': None, 'Diesel (%)': 0.0756478399716048, 'LPG (%)': None, 'CNG (%)': 99.92435216002839, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 218066.30634717288, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1448.1244321244988, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1611.9914077289948, 'Unlinked Passenger Trips': 1223001, 'Passenger Paid Fares': 513781.0, 'Average Fare': 0.42009859354162427, 'Average Passengers': 2.0823814131734686}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50029, 'Mode': 'MB', 'UACE Code': '05869', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8593.02437551878, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9013.860642437776, 'Unlinked Passenger Trips': 423166, 'Passenger Paid Fares': 87493.0, 'Average Fare': 0.20675810438456776, 'Average Passengers': 2.024029824959461}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 50034, 'Mode': 'DR', 'UACE Code': '42157', 'Gasoline (%)': 97.94789904783916, 'Diesel (%)': 2.0521009521608344, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8581.02127956106, 'Diesel (Wh/pkm)': 45029.91571837612, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9328.989389392082, 'Unlinked Passenger Trips': 61768, 'Passenger Paid Fares': 61044.0, 'Average Fare': 0.9882787203730087, 'Average Passengers': 0.3883483404899827}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': 72.3592936321492, 'Diesel (%)': 27.640706367850793, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6284.424229651664, 'Diesel (Wh/pkm)': 18104.560101007588, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9551.593278134156, 'Unlinked Passenger Trips': 71315, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.3871190450410803}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 50040, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': 87.81755362110741, 'Diesel (%)': 12.182446378892578, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5552.3687111209065, 'Diesel (Wh/pkm)': 12936.096226481723, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6451.887356443274, 'Unlinked Passenger Trips': 223625, 'Passenger Paid Fares': 204579.0, 'Average Fare': 0.9148306316377864, 'Average Passengers': 0.5983911782546061}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 92.18138234119057, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 7.818617658809428, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12845.167375679164, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1600.066516529329, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13800.700063069113, 'Unlinked Passenger Trips': 818385, 'Passenger Paid Fares': 200016.0, 'Average Fare': 0.24440330651221615, 'Average Passengers': 0.8426947551600493}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 31.08686849579859, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 15788.623697392359, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 20159.73061578035, 'Unlinked Passenger Trips': 253131, 'Passenger Paid Fares': 73029.0, 'Average Fare': 0.288502791044953, 'Average Passengers': 0.36537862678280675}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 50145, 'Mode': 'DR', 'UACE Code': '45694', 'Gasoline (%)': 99.97834378351936, 'Diesel (%)': 0.021656216480635523, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3715.914159147811, 'Diesel (Wh/pkm)': 83559.602669093, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3733.2052811776493, 'Unlinked Passenger Trips': 171150, 'Passenger Paid Fares': 2279.0, 'Average Fare': 0.013315804849547181, 'Average Passengers': 0.8330230605896006}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': 68.57126036787984, 'Diesel (%)': 31.428739632120156, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5358.498810676751, 'Diesel (Wh/pkm)': 10729.323293882313, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7046.48125360159, 'Unlinked Passenger Trips': 25893, 'Passenger Paid Fares': 104489.0, 'Average Fare': 4.0354149770208165, 'Average Passengers': 0.6148992940604259}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': None, 'Diesel (%)': 98.07468027861051, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8082.756952045609, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8445.001970235971, 'Unlinked Passenger Trips': 1193506, 'Passenger Paid Fares': 4062.0, 'Average Fare': 0.0034034181646342794, 'Average Passengers': 1.6198928973435014}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 99.99468515837859, 'Diesel (%)': 0.005314841621410545, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1532.3773650902647, 'Diesel (Wh/pkm)': 26109234.95446298, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2919.960408051937, 'Unlinked Passenger Trips': 89969, 'Passenger Paid Fares': 31514.0, 'Average Fare': 0.35027620624881906, 'Average Passengers': 0.5867676091503733}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 37.178508834455634, 'Diesel (%)': 62.82149116554437, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1698.252804323522, 'Diesel (Wh/pkm)': 14900.205416453655, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9991.916298232207, 'Unlinked Passenger Trips': 282405, 'Passenger Paid Fares': 83187.0, 'Average Fare': 0.29456631433579433, 'Average Passengers': 1.8071110433608308}\n", + "Removing RB outlier: expected (np.float64(-1216.9648159435976), np.float64(3773.1228980978894)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7645.869134123707, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7645.869134123707, 'Unlinked Passenger Trips': 553749, 'Passenger Paid Fares': 39195.0, 'Average Fare': 0.07078116619623692, 'Average Passengers': 2.22871579862566}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 60009, 'Mode': 'DR', 'UACE Code': '47854', 'Gasoline (%)': 98.91484985249345, 'Diesel (%)': 1.0851501475065595, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10679.96978598598, 'Diesel (Wh/pkm)': 66098.97075930047, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11281.349156794566, 'Unlinked Passenger Trips': 54592, 'Passenger Paid Fares': 43219.0, 'Average Fare': 0.7916727725674091, 'Average Passengers': 0.6404287253862498}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60015, 'Mode': 'MB', 'UACE Code': '32491', 'Gasoline (%)': 58.0642278965303, 'Diesel (%)': 41.9357721034697, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3220.438711587596, 'Diesel (Wh/pkm)': 13184.527789598022, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7398.956399528765, 'Unlinked Passenger Trips': 366084, 'Passenger Paid Fares': 108059.0, 'Average Fare': 0.29517542421957804, 'Average Passengers': 1.3009080393169938}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 60017, 'Mode': 'DR', 'UACE Code': '65080', 'Gasoline (%)': 30.293043453253958, 'Diesel (%)': 52.55456819946509, 'LPG (%)': None, 'CNG (%)': 17.152388347280933, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6650.52693983438, 'Diesel (Wh/pkm)': 40546.16191621247, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6515.8540807794, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 24441.13192835325, 'Unlinked Passenger Trips': 90907, 'Passenger Paid Fares': 162820.0, 'Average Fare': 1.7910611944074715, 'Average Passengers': 0.6070766082610966}\n", + "Removing FB outlier: expected (np.float64(-3328.457190484478), np.float64(17568.496908899426)), got {'NTD ID': 60017, 'Mode': 'FB', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 36447.92937089445, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 36447.92937089445, 'Unlinked Passenger Trips': 3415, 'Passenger Paid Fares': 13636.0, 'Average Fare': 3.9929721815519765, 'Average Passengers': 1.052449567723343}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60017, 'Mode': 'MB', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': 41.60412573930831, 'LPG (%)': None, 'CNG (%)': 53.779268238451614, 'Hydrogen (%)': None, 'Electric (%)': 4.616606022240068, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12414.83412493224, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3532.3560100416353, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 527.9332013572189, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7089.131009407987, 'Unlinked Passenger Trips': 4873997, 'Passenger Paid Fares': 1679106.0, 'Average Fare': 0.34450287925905576, 'Average Passengers': 3.7665814193468585}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 60111, 'Mode': 'CB', 'UACE Code': '01171', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4987.006694403181, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4987.006694403181, 'Unlinked Passenger Trips': 59679, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.4263797070058888}\n", + "Removing FB outlier: expected (np.float64(-3328.457190484478), np.float64(17568.496908899426)), got {'NTD ID': 60276, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 55299.06206075608, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 55299.06206075608, 'Unlinked Passenger Trips': 1032181, 'Passenger Paid Fares': 207212.0, 'Average Fare': 0.20075161236256045, 'Average Passengers': 16.38372601082244}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 70045, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 99.70648140397869, 'Diesel (%)': 0.29351859602131636, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6809.104723465977, 'Diesel (Wh/pkm)': 115424.56745672923, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7127.911304742707, 'Unlinked Passenger Trips': 165014, 'Passenger Paid Fares': 60119.0, 'Average Fare': 0.364326663192214, 'Average Passengers': 0.8137845952335513}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 162326.4955880523, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 207168.05293933683, 'Unlinked Passenger Trips': 673726, 'Passenger Paid Fares': 268073.0, 'Average Fare': 0.397896177377747, 'Average Passengers': 3.5986467949148517}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7577.02795411127, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7577.02795411127, 'Unlinked Passenger Trips': 507517, 'Passenger Paid Fares': 303645.0, 'Average Fare': 0.5982952295194053, 'Average Passengers': 1.4800735031941405}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 49.20130993046737, 'LPG (%)': None, 'CNG (%)': 50.79869006953264, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 24804.752332763892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6517.923312426481, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15515.282735177341, 'Unlinked Passenger Trips': 506714, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.4219338674386224}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 9.251771392742215, 'LPG (%)': None, 'CNG (%)': 90.74822860725777, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 33295.59663450078, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1264.2617442698815, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4440.1471810370995, 'Unlinked Passenger Trips': 14354289, 'Passenger Paid Fares': 3277514.0, 'Average Fare': 0.2283299437540933, 'Average Passengers': 2.1413843175217813}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90159, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7870.046239349558, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7891.2060767058765, 'Unlinked Passenger Trips': 875668, 'Passenger Paid Fares': 370044.0, 'Average Fare': 0.42258481524961516, 'Average Passengers': 2.4343396881466517}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 90306, 'Mode': 'CB', 'UACE Code': '58006', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7180.8894327940525, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7180.8894327940525, 'Unlinked Passenger Trips': 69056, 'Passenger Paid Fares': 31331.0, 'Average Fare': 0.4537042400370714, 'Average Passengers': 1.2514809391233084}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30085, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': 88.40685956088417, 'Diesel (%)': None, 'LPG (%)': 11.593140439115832, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12065.751551855165, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 14518.98194875858, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12478.533793788925, 'Unlinked Passenger Trips': 73686, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6860059539944777}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40141, 'Mode': 'CB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': 100.0, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 17070.533124876547, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17070.533124876547, 'Unlinked Passenger Trips': 7810, 'Passenger Paid Fares': 7419.0, 'Average Fare': 0.9499359795134443, 'Average Passengers': 0.3919285497439111}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90147, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': 7.7434126254192215, 'CNG (%)': 79.06880802437333, 'Hydrogen (%)': None, 'Electric (%)': 13.187779350207455, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 12038.6133601828, 'CNG (Wh/pkm)': 1387.981480686754, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 392.289772411906, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2081.3942288349767, 'Unlinked Passenger Trips': 26973968, 'Passenger Paid Fares': 44390.0, 'Average Fare': 0.0016456607348240347, 'Average Passengers': 2.8878217406870395}\n", + "Removing RB outlier: expected (np.float64(-1216.9648159435976), np.float64(3773.1228980978894)), got {'NTD ID': 10003, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 93.61590763952367, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 6.384092360476329, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1760.7698901209826, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3970.4828335725647, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1901.8400053323317, 'Unlinked Passenger Trips': 16342499, 'Passenger Paid Fares': 5998846.0, 'Average Fare': 0.36707029934650753, 'Average Passengers': 11.965042624346326}\n", + "Removing LR outlier: expected (np.float64(-192.33773138885834), np.float64(1150.198045976135)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2917.948270331489, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2917.948270331489, 'Unlinked Passenger Trips': 5439393, 'Passenger Paid Fares': 2501335.0, 'Average Fare': 0.4598555390279761, 'Average Passengers': 7.51905435611649}\n", + "Removing HR outlier: expected (np.float64(-44.2224656118306), np.float64(364.59637350080015)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1402.6996464796207, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1402.6996464796207, 'Unlinked Passenger Trips': 4008165, 'Passenger Paid Fares': 5717200.0, 'Average Fare': 1.4263883847097114, 'Average Passengers': 8.520307297387069}\n", + "Removing LR outlier: expected (np.float64(-192.33773138885834), np.float64(1150.198045976135)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1683.17545875152, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1683.17545875152, 'Unlinked Passenger Trips': 1429915, 'Passenger Paid Fares': 867637.0, 'Average Fare': 0.6067752278981617, 'Average Passengers': 7.054446145901961}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 30083, 'Mode': 'MB', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': 99.78806371266951, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.2119362873305036, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3284.8169962498996, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 30914.559666089775, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3343.3744470633305, 'Unlinked Passenger Trips': 10965138, 'Passenger Paid Fares': 6185711.0, 'Average Fare': 0.5641252303436582, 'Average Passengers': 2.9984617664851494}\n", + "Removing SR outlier: expected (np.float64(-2211.6075055765227), np.float64(6093.94156043847)), got {'NTD ID': 40022, 'Mode': 'SR', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 8267.631271269895, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8267.631271269895, 'Unlinked Passenger Trips': 272921, 'Passenger Paid Fares': 35541.0, 'Average Fare': 0.1302244971988231, 'Average Passengers': 2.2007131216572424}\n", + "Removing HR outlier: expected (np.float64(-44.2224656118306), np.float64(364.59637350080015)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 448.899922564838, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 448.899922564838, 'Unlinked Passenger Trips': 6280491, 'Passenger Paid Fares': 3448306.0, 'Average Fare': 0.5490503847549499, 'Average Passengers': 20.027224759243623}\n", + "Removing LR outlier: expected (np.float64(-192.33773138885834), np.float64(1150.198045976135)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3233.89858905748, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3233.89858905748, 'Unlinked Passenger Trips': 1343503, 'Passenger Paid Fares': 1177360.0, 'Average Fare': 0.8763359664995166, 'Average Passengers': 6.546830760489051}\n", + "Removing SR outlier: expected (np.float64(-2211.6075055765227), np.float64(6093.94156043847)), got {'NTD ID': 70057, 'Mode': 'SR', 'UACE Code': '77770', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 10233.906936168727, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10233.906936168727, 'Unlinked Passenger Trips': 12899, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 6.440468445022772}\n", + "Removing SR outlier: expected (np.float64(-2211.6075055765227), np.float64(6093.94156043847)), got {'NTD ID': 60015, 'Mode': 'SR', 'UACE Code': '32491', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 100.0, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 10315.071154266821, 'All Fuels (Wh/pkm)': 10315.071154266821, 'Unlinked Passenger Trips': 35629, 'Passenger Paid Fares': 11680.0, 'Average Fare': 0.3278228409441747, 'Average Passengers': 1.8243253289718238}\n", + "Removing YR outlier: expected (np.float64(-18.44973659197717), np.float64(2547.189899085096)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 100.0, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 1929.4256069480246, 'All Fuels (Wh/pkm)': 4062.3909977159037, 'Unlinked Passenger Trips': 220659, 'Passenger Paid Fares': 55326.0, 'Average Fare': 0.250730765570405, 'Average Passengers': 11.70030239372734}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13800.867444617297, 'Unlinked Passenger Trips': 616594, 'Passenger Paid Fares': 216295.0, 'Average Fare': 0.3507899849820141, 'Average Passengers': 1.2670178442523372}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 10001, 'Mode': 'VP', 'UACE Code': '72505', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2197.2902508199936, 'Unlinked Passenger Trips': 149888, 'Passenger Paid Fares': 422509.0, 'Average Fare': 2.8188313941076, 'Average Passengers': 5.511015511936227}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 10053, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7851.840256826246, 'Unlinked Passenger Trips': 275590, 'Passenger Paid Fares': 107916.0, 'Average Fare': 0.3915816974491092, 'Average Passengers': 1.1386146975465918}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 10128, 'Mode': 'DR', 'UACE Code': '92485', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18092.5438139498, 'Unlinked Passenger Trips': 166059, 'Passenger Paid Fares': 97342.0, 'Average Fare': 0.5861892459908827, 'Average Passengers': 0.7332645656409604}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 20002, 'Mode': 'VP', 'UACE Code': '00970', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1866.5339573170759, 'Unlinked Passenger Trips': 157260, 'Passenger Paid Fares': 521920.0, 'Average Fare': 3.318835050235279, 'Average Passengers': 4.727943351807635}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9983.144697281592, 'Unlinked Passenger Trips': 181289, 'Passenger Paid Fares': 198350.0, 'Average Fare': 1.094109405424488, 'Average Passengers': 1.1321149219432727}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 23550.99702441095, 'Unlinked Passenger Trips': 318910, 'Passenger Paid Fares': 328188.0, 'Average Fare': 1.0290928475118373, 'Average Passengers': 0.5669202732178591}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 20071, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26768.141745048528, 'Unlinked Passenger Trips': 101731, 'Passenger Paid Fares': 57947.0, 'Average Fare': 0.569610050033913, 'Average Passengers': 0.6189128423786856}\n", + "Removing FB outlier: expected (np.float64(-3328.457190484478), np.float64(17568.496908899426)), got {'NTD ID': 20078, 'Mode': 'FB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26174.70866170893, 'Unlinked Passenger Trips': 168000, 'Passenger Paid Fares': 73528.0, 'Average Fare': 0.43766666666666665, 'Average Passengers': 7.20041624832664}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17186.005778786195, 'Unlinked Passenger Trips': 332811, 'Passenger Paid Fares': 233948.0, 'Average Fare': 0.7029455156229812, 'Average Passengers': 0.6225203503143464}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 20209, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 49.89127900014496, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4062.8998498659357, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7039.36915342049, 'Unlinked Passenger Trips': 93136, 'Passenger Paid Fares': 42301.0, 'Average Fare': 0.4541852774437382, 'Average Passengers': 1.6493592432630442}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30007, 'Mode': 'DR', 'UACE Code': '75421', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52697.76484237195, 'Unlinked Passenger Trips': 133561, 'Passenger Paid Fares': 202908.0, 'Average Fare': 1.5192159387845254, 'Average Passengers': 0.8984697657569433}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30011, 'Mode': 'DR', 'UACE Code': '01792', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 112995.33267266318, 'Unlinked Passenger Trips': 5135, 'Passenger Paid Fares': 17163.0, 'Average Fare': 3.342356377799416, 'Average Passengers': 0.7998786734968995}\n", + "Removing LR outlier: expected (np.float64(-192.33773138885834), np.float64(1150.198045976135)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2917.948270331489, 'Unlinked Passenger Trips': 5439393, 'Passenger Paid Fares': 2501335.0, 'Average Fare': 0.4598555390279761, 'Average Passengers': 7.51905435611649}\n", + "Removing HR outlier: expected (np.float64(-44.2224656118306), np.float64(364.59637350080015)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1402.6996464796207, 'Unlinked Passenger Trips': 4008165, 'Passenger Paid Fares': 5717200.0, 'Average Fare': 1.4263883847097114, 'Average Passengers': 8.520307297387069}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30051, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13247.454824680657, 'Unlinked Passenger Trips': 22225, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.3243851442341768}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 30077, 'Mode': 'MB', 'UACE Code': '69076', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10047.467199262714, 'Unlinked Passenger Trips': 265714, 'Passenger Paid Fares': 145949.0, 'Average Fare': 0.5492710207215277, 'Average Passengers': 0.7749733510760591}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 30078, 'Mode': 'VP', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2144.9875302606197, 'Unlinked Passenger Trips': 35189, 'Passenger Paid Fares': 121793.0, 'Average Fare': 3.461110005967774, 'Average Passengers': 3.713771699414501}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 30081, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6265.087319081797, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 34310.15282489145, 'Unlinked Passenger Trips': 620786, 'Passenger Paid Fares': 222053.0, 'Average Fare': 0.35769653310480587, 'Average Passengers': 1.1378553978367567}\n", + "Removing LR outlier: expected (np.float64(-192.33773138885834), np.float64(1150.198045976135)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1683.17545875152, 'Unlinked Passenger Trips': 1429915, 'Passenger Paid Fares': 867637.0, 'Average Fare': 0.6067752278981617, 'Average Passengers': 7.054446145901961}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 30083, 'Mode': 'VP', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2331.098916545005, 'Unlinked Passenger Trips': 87194, 'Passenger Paid Fares': 253959.0, 'Average Fare': 2.9125742596967683, 'Average Passengers': 5.8840098925588915}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 30094, 'Mode': 'DR', 'UACE Code': '37162', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14591.398571605001, 'Unlinked Passenger Trips': 71810, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6640584321666184}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40009, 'Mode': 'DR', 'UACE Code': '29440', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22914.537658626286, 'Unlinked Passenger Trips': 134666, 'Passenger Paid Fares': 215.0, 'Average Fare': 0.001596542557141372, 'Average Passengers': 1.0156626630957868}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8240.471254987337, 'Unlinked Passenger Trips': 753423, 'Passenger Paid Fares': 249869.0, 'Average Fare': 0.33164503870999423, 'Average Passengers': 0.992860693583805}\n", + "Removing SR outlier: expected (np.float64(-2211.6075055765227), np.float64(6093.94156043847)), got {'NTD ID': 40022, 'Mode': 'SR', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8267.631271269895, 'Unlinked Passenger Trips': 272921, 'Passenger Paid Fares': 35541.0, 'Average Fare': 0.1302244971988231, 'Average Passengers': 2.2007131216572424}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3592.241836868038, 'Unlinked Passenger Trips': 36581, 'Passenger Paid Fares': 94443.0, 'Average Fare': 2.5817500888439353, 'Average Passengers': 3.8750885605619296}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10905.644163742663, 'Unlinked Passenger Trips': 8766, 'Passenger Paid Fares': 11094.0, 'Average Fare': 1.265571526351814, 'Average Passengers': 0.5745108821190645}\n", + "Removing FB outlier: expected (np.float64(-3328.457190484478), np.float64(17568.496908899426)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37659.184246397, 'Unlinked Passenger Trips': 722249, 'Passenger Paid Fares': 1432549.0, 'Average Fare': 1.9834558441756236, 'Average Passengers': 20.786985193480152}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40047, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14409.355921588514, 'Unlinked Passenger Trips': 7644, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.4797364216197657}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 20471.935523972756, 'Unlinked Passenger Trips': 18652, 'Passenger Paid Fares': 15025.0, 'Average Fare': 0.8055436414325542, 'Average Passengers': 0.5493794960996615}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40078, 'Mode': 'DR', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 36515.08583111387, 'Unlinked Passenger Trips': 105284, 'Passenger Paid Fares': 25896.0, 'Average Fare': 0.24596329926674518, 'Average Passengers': 0.8446370977702502}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40078, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 5.529998040342128, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1537.6257388774206, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9155.211716713098, 'Unlinked Passenger Trips': 1723685, 'Passenger Paid Fares': 1811628.0, 'Average Fare': 1.0510203430441176, 'Average Passengers': 1.2437443691969183}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10690.322512198654, 'Unlinked Passenger Trips': 52366, 'Passenger Paid Fares': 22347.0, 'Average Fare': 0.42674636214337547, 'Average Passengers': 0.5325020494830668}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 40108, 'Mode': 'VP', 'UACE Code': '25228', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1861.9423169455172, 'Unlinked Passenger Trips': 61998, 'Passenger Paid Fares': 159175.0, 'Average Fare': 2.5674215297267655, 'Average Passengers': 4.033837545477241}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40138, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4771.916508138813, 'Unlinked Passenger Trips': 293650, 'Passenger Paid Fares': 690668.0, 'Average Fare': 2.3520108973267497, 'Average Passengers': 4.429610681708983}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40141, 'Mode': 'CB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17070.533124876547, 'Unlinked Passenger Trips': 7810, 'Passenger Paid Fares': 7419.0, 'Average Fare': 0.9499359795134443, 'Average Passengers': 0.3919285497439111}\n", + "Removing CR outlier: expected (np.float64(-1407.6915738366658), np.float64(4178.672985760207)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5589.00165081236, 'Unlinked Passenger Trips': 177662, 'Passenger Paid Fares': 267101.0, 'Average Fare': 1.503422228726458, 'Average Passengers': 19.411027985946227}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40172, 'Mode': 'MB', 'UACE Code': '38647', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17329.70312024056, 'Unlinked Passenger Trips': 127836, 'Passenger Paid Fares': 12487.0, 'Average Fare': 0.097679839794737, 'Average Passengers': 1.0615759708044965}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 40192, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4437.706190737063, 'Unlinked Passenger Trips': 20528, 'Passenger Paid Fares': 11016.0, 'Average Fare': 0.5366328916601715, 'Average Passengers': 1.395904215576701}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6745.11682611536, 'Unlinked Passenger Trips': 172018, 'Passenger Paid Fares': 95452.0, 'Average Fare': 0.5548954179213803, 'Average Passengers': 1.200807939577093}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 51217.04192366043, 'Unlinked Passenger Trips': 163792, 'Passenger Paid Fares': 116071.0, 'Average Fare': 0.7086487740548989, 'Average Passengers': 0.8491520463210518}\n", + "Removing HR outlier: expected (np.float64(-44.2224656118306), np.float64(364.59637350080015)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 448.899922564838, 'Unlinked Passenger Trips': 6280491, 'Passenger Paid Fares': 3448306.0, 'Average Fare': 0.5490503847549499, 'Average Passengers': 20.027224759243623}\n", + "Removing LR outlier: expected (np.float64(-192.33773138885834), np.float64(1150.198045976135)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3233.89858905748, 'Unlinked Passenger Trips': 1343503, 'Passenger Paid Fares': 1177360.0, 'Average Fare': 0.8763359664995166, 'Average Passengers': 6.546830760489051}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50029, 'Mode': 'MB', 'UACE Code': '05869', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9013.860642437776, 'Unlinked Passenger Trips': 423166, 'Passenger Paid Fares': 87493.0, 'Average Fare': 0.20675810438456776, 'Average Passengers': 2.024029824959461}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 7.818617658809428, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1600.066516529329, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13800.700063069113, 'Unlinked Passenger Trips': 818385, 'Passenger Paid Fares': 200016.0, 'Average Fare': 0.24440330651221615, 'Average Passengers': 0.8426947551600493}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 20159.73061578035, 'Unlinked Passenger Trips': 253131, 'Passenger Paid Fares': 73029.0, 'Average Fare': 0.288502791044953, 'Average Passengers': 0.36537862678280675}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': 68.57126036787984, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5358.498810676751, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7046.48125360159, 'Unlinked Passenger Trips': 25893, 'Passenger Paid Fares': 104489.0, 'Average Fare': 4.0354149770208165, 'Average Passengers': 0.6148992940604259}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8445.001970235971, 'Unlinked Passenger Trips': 1193506, 'Passenger Paid Fares': 4062.0, 'Average Fare': 0.0034034181646342794, 'Average Passengers': 1.6198928973435014}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 242425.15486613946, 'Unlinked Passenger Trips': 348159, 'Passenger Paid Fares': 54716.0, 'Average Fare': 0.1571580800726105, 'Average Passengers': 2.1027758129547824}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 37.178508834455634, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1698.252804323522, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9991.916298232207, 'Unlinked Passenger Trips': 282405, 'Passenger Paid Fares': 83187.0, 'Average Fare': 0.29456631433579433, 'Average Passengers': 1.8071110433608308}\n", + "Removing RB outlier: expected (np.float64(-1216.9648159435976), np.float64(3773.1228980978894)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7645.869134123707, 'Unlinked Passenger Trips': 553749, 'Passenger Paid Fares': 39195.0, 'Average Fare': 0.07078116619623692, 'Average Passengers': 2.22871579862566}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60015, 'Mode': 'MB', 'UACE Code': '32491', 'Gasoline (%)': 58.0642278965303, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3220.438711587596, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7398.956399528765, 'Unlinked Passenger Trips': 366084, 'Passenger Paid Fares': 108059.0, 'Average Fare': 0.29517542421957804, 'Average Passengers': 1.3009080393169938}\n", + "Removing SR outlier: expected (np.float64(-2211.6075055765227), np.float64(6093.94156043847)), got {'NTD ID': 60015, 'Mode': 'SR', 'UACE Code': '32491', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10315.071154266821, 'Unlinked Passenger Trips': 35629, 'Passenger Paid Fares': 11680.0, 'Average Fare': 0.3278228409441747, 'Average Passengers': 1.8243253289718238}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 19.99984401931041, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3855.731271071483, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21626.573576596904, 'Unlinked Passenger Trips': 37884, 'Passenger Paid Fares': 42696.0, 'Average Fare': 1.1270193221412734, 'Average Passengers': 0.4314199856696444}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 60017, 'Mode': 'DR', 'UACE Code': '65080', 'Gasoline (%)': 30.293043453253958, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 17.152388347280933, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6650.52693983438, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6515.8540807794, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 24441.13192835325, 'Unlinked Passenger Trips': 90907, 'Passenger Paid Fares': 162820.0, 'Average Fare': 1.7910611944074715, 'Average Passengers': 0.6070766082610966}\n", + "Removing FB outlier: expected (np.float64(-3328.457190484478), np.float64(17568.496908899426)), got {'NTD ID': 60017, 'Mode': 'FB', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 36447.92937089445, 'Unlinked Passenger Trips': 3415, 'Passenger Paid Fares': 13636.0, 'Average Fare': 3.9929721815519765, 'Average Passengers': 1.052449567723343}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60017, 'Mode': 'MB', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 53.779268238451614, 'Hydrogen (%)': None, 'Electric (%)': 4.616606022240068, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3532.3560100416353, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 527.9332013572189, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7089.131009407987, 'Unlinked Passenger Trips': 4873997, 'Passenger Paid Fares': 1679106.0, 'Average Fare': 0.34450287925905576, 'Average Passengers': 3.7665814193468585}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60090, 'Mode': 'MB', 'UACE Code': '52390', 'Gasoline (%)': None, 'Diesel (%)': 56.88802572095376, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6049.451203816525, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6865.113633164492, 'Unlinked Passenger Trips': 543576, 'Passenger Paid Fares': 464116.0, 'Average Fare': 0.8538198890311567, 'Average Passengers': 1.2969212894160882}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60095, 'Mode': 'MB', 'UACE Code': '90514', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7650.0824941842775, 'Unlinked Passenger Trips': 416981, 'Passenger Paid Fares': 105.0, 'Average Fare': 0.0002518100345099657, 'Average Passengers': 0.8273464951441158}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 60101, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 27591.515328878657, 'Unlinked Passenger Trips': 1529865, 'Passenger Paid Fares': 577831.0, 'Average Fare': 0.37770064678909576, 'Average Passengers': 1.024113078168899}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 60111, 'Mode': 'CB', 'UACE Code': '01171', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4987.006694403181, 'Unlinked Passenger Trips': 59679, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.4263797070058888}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 69729.99318659655, 'Unlinked Passenger Trips': 64030, 'Passenger Paid Fares': 25435.0, 'Average Fare': 0.3972356707793222, 'Average Passengers': 1.4230723902417124}\n", + "Removing FB outlier: expected (np.float64(-3328.457190484478), np.float64(17568.496908899426)), got {'NTD ID': 60276, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 55299.06206075608, 'Unlinked Passenger Trips': 1032181, 'Passenger Paid Fares': 207212.0, 'Average Fare': 0.20075161236256045, 'Average Passengers': 16.38372601082244}\n", + "Removing SR outlier: expected (np.float64(-2211.6075055765227), np.float64(6093.94156043847)), got {'NTD ID': 70057, 'Mode': 'SR', 'UACE Code': '77770', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10233.906936168727, 'Unlinked Passenger Trips': 12899, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 6.440468445022772}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90022, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14835.33763860435, 'Unlinked Passenger Trips': 27046, 'Passenger Paid Fares': 9741.0, 'Average Fare': 0.36016416475634105, 'Average Passengers': 0.5138791532314594}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5695.764846673871, 'Unlinked Passenger Trips': 37058, 'Passenger Paid Fares': 141154.0, 'Average Fare': 3.809002104808678, 'Average Passengers': 5.122754693783992}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90087, 'Mode': 'DR', 'UACE Code': '79417', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 29980.809894181835, 'Unlinked Passenger Trips': 33543, 'Passenger Paid Fares': 30954.0, 'Average Fare': 0.9228154905643502, 'Average Passengers': 1.4286060071431643}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 207168.05293933683, 'Unlinked Passenger Trips': 673726, 'Passenger Paid Fares': 268073.0, 'Average Fare': 0.397896177377747, 'Average Passengers': 3.5986467949148517}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7577.02795411127, 'Unlinked Passenger Trips': 507517, 'Passenger Paid Fares': 303645.0, 'Average Fare': 0.5982952295194053, 'Average Passengers': 1.4800735031941405}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 90121, 'Mode': 'CB', 'UACE Code': '67140', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 247.17384996850473, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6364.779454183135, 'Unlinked Passenger Trips': 248120, 'Passenger Paid Fares': 688175.0, 'Average Fare': 2.7735571497662423, 'Average Passengers': 7.9939761741504}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 50.79869006953264, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6517.923312426481, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15515.282735177341, 'Unlinked Passenger Trips': 506714, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.4219338674386224}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90148, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1787.1589137047943, 'Unlinked Passenger Trips': 895513, 'Passenger Paid Fares': 2844735.0, 'Average Fare': 3.176654051923311, 'Average Passengers': 4.73768463910846}\n", + "Removing MB outlier: expected (np.float64(-1517.1428781993104), np.float64(6580.236495841259)), got {'NTD ID': 90159, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7891.2060767058765, 'Unlinked Passenger Trips': 875668, 'Passenger Paid Fares': 370044.0, 'Average Fare': 0.42258481524961516, 'Average Passengers': 2.4343396881466517}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90196, 'Mode': 'VP', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1534.3552564501288, 'Unlinked Passenger Trips': 5291, 'Passenger Paid Fares': 11930.0, 'Average Fare': 2.254772254772255, 'Average Passengers': 2.3795161667423086}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1320.0368900661624, 'Unlinked Passenger Trips': 141224, 'Passenger Paid Fares': 493275.0, 'Average Fare': 3.4928553220415792, 'Average Passengers': 3.6729118709113027}\n", + "Removing VP outlier: expected (np.float64(29.60675547957527), np.float64(1231.0491574150167)), got {'NTD ID': 90219, 'Mode': 'VP', 'UACE Code': '29818', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1300.8911463372613, 'Unlinked Passenger Trips': 24948, 'Passenger Paid Fares': 57947.0, 'Average Fare': 2.322711239377906, 'Average Passengers': 4.456174355767942}\n", + "Removing DR outlier: expected (np.float64(-1468.0716538711886), np.float64(12758.181908996215)), got {'NTD ID': 90234, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13447.414013178899, 'Unlinked Passenger Trips': 97402, 'Passenger Paid Fares': 226819.0, 'Average Fare': 2.3286893492946756, 'Average Passengers': 0.7431194864071013}\n", + "Removing CB outlier: expected (np.float64(-1744.140913770747), np.float64(4246.915265442507)), got {'NTD ID': 90306, 'Mode': 'CB', 'UACE Code': '58006', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7180.8894327940525, 'Unlinked Passenger Trips': 69056, 'Passenger Paid Fares': 31331.0, 'Average Fare': 0.4537042400370714, 'Average Passengers': 1.2514809391233084}\n", + "DR desc: count 872.000000\n", + "mean 5275.962248\n", + "std 2695.419711\n", + "min 0.448275\n", + "25% 3511.734807\n", + "50% 5172.259065\n", + "75% 7040.001005\n", + "max 12685.013390\n", "dtype: float64\n", - "FB desc: count 48.000000\n", - "mean 3303.368854\n", - "std 1657.657366\n", - "min 911.440770\n", - "25% 2008.314113\n", - "50% 3397.220586\n", - "75% 4060.456222\n", - "max 7598.069109\n", + "FB desc: count 46.000000\n", + "mean 6109.752151\n", + "std 3153.181859\n", + "min 1388.372418\n", + "25% 3947.047242\n", + "50% 5642.222740\n", + "75% 7116.223179\n", + "max 14961.754333\n", "dtype: float64\n", - "MB desc: count 1091.000000\n", - "mean 1204.394296\n", - "std 780.862238\n", - "min 0.233576\n", - "25% 579.393162\n", - "50% 1079.078365\n", - "75% 1639.093345\n", - "max 3568.612906\n", + "MB desc: count 1092.000000\n", + "mean 2157.941990\n", + "std 1433.483850\n", + "min 2.872149\n", + "25% 986.933337\n", + "50% 1951.254249\n", + "75% 2979.678536\n", + "max 6577.141699\n", "dtype: float64\n", - "SR desc: count 42.000000\n", - "mean 1123.599186\n", - "std 737.915754\n", - "min 213.471584\n", - "25% 507.195838\n", - "50% 915.893071\n", - "75% 1607.997286\n", - "max 3112.938024\n", + "SR desc: count 44.000000\n", + "mean 1897.110021\n", + "std 1107.149035\n", + "min 523.733134\n", + "25% 754.888917\n", + "50% 1876.892360\n", + "75% 2742.392773\n", + "max 4497.817231\n", "dtype: float64\n", - "TB desc: count 10.000000\n", - "mean 515.231440\n", - "std 97.604459\n", - "min 367.951425\n", - "25% 466.710709\n", - "50% 527.925956\n", - "75% 575.969972\n", - "max 637.599135\n", + "TB desc: count 8.000000\n", + "mean 1078.292912\n", + "std 453.421585\n", + "min 592.691648\n", + "25% 844.269465\n", + "50% 982.182654\n", + "75% 1216.206101\n", + "max 1756.114692\n", "dtype: float64\n", - "VP desc: count 153.000000\n", - "mean 301.361701\n", - "std 103.287502\n", - "min 66.917778\n", - "25% 230.635362\n", - "50% 298.119173\n", - "75% 355.021225\n", - "max 586.192891\n", - "dtype: float64\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 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10.000000\n", - "mean 618.465202\n", - "std 291.344514\n", - "min 282.571504\n", - "25% 493.739203\n", - "50% 524.896188\n", - "75% 681.937882\n", - "max 1109.181233\n", + "LR desc: count 38.000000\n", + "mean 438.281157\n", + "std 221.640335\n", + "min 74.402507\n", + "25% 289.304152\n", + "50% 400.100831\n", + "75% 566.292544\n", + "max 1000.485960\n", "dtype: float64\n", - "CB desc: count 140.000000\n", - "mean 698.922414\n", - "std 631.704484\n", - "min 2.708370\n", - "25% 211.839384\n", - "50% 484.001571\n", - "75% 1005.879517\n", - "max 2536.295993\n", + "YR desc: count 11.000000\n", + "mean 1164.114520\n", + "std 469.399133\n", + "min 496.516852\n", + "25% 912.027116\n", + "50% 1038.579160\n", + "75% 1495.396964\n", + "max 1929.425607\n", "dtype: float64\n", - "MG desc: count 10.000000\n", - "mean 1146.962383\n", - "std 1113.715556\n", - "min 50.055969\n", - "25% 226.432460\n", - "50% 774.586766\n", - "75% 1823.801123\n", - "max 2859.935596\n", + "CB desc: count 130.000000\n", + 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"mean 363.966377\n", + "AR desc: count 2.000000\n", + "mean 196.417146\n", "std 0.000000\n", - "min 363.966377\n", - "25% 363.966377\n", - "50% 363.966377\n", - "75% 363.966377\n", - "max 363.966377\n", + "min 196.417146\n", + "25% 196.417146\n", + "50% 196.417146\n", + "75% 196.417146\n", + "max 196.417146\n", + "dtype: float64\n", + "TR desc: count 2.00000\n", + "mean 665.36414\n", + "std 0.00000\n", + "min 665.36414\n", + "25% 665.36414\n", + "50% 665.36414\n", + "75% 665.36414\n", + "max 665.36414\n", "dtype: float64\n", "HR desc: count 26.000000\n", - "mean 82.541103\n", - "std 42.545237\n", - "min 14.867297\n", - "25% 49.347334\n", - "50% 83.792472\n", - "75% 114.593080\n", - "max 163.488199\n", + "mean 141.781113\n", + "std 66.478242\n", + "min 27.555022\n", + "25% 104.402492\n", + "50% 136.873056\n", + "75% 193.391984\n", + "max 275.036501\n", "dtype: float64\n", - "IP desc: count 4.000000\n", - "mean 1731.939234\n", - "std 1829.704735\n", - "min 147.368452\n", - "25% 147.368452\n", - "50% 1731.939234\n", - "75% 3316.510016\n", - "max 3316.510016\n", + "IP desc: count 4.000000\n", + "mean 5595.604446\n", + "std 6118.388003\n", + "min 296.925005\n", + "25% 296.925005\n", + "50% 5595.604446\n", + "75% 10894.283886\n", + "max 10894.283886\n", "dtype: float64\n", - "CC desc: count 2.000000\n", - "mean 704.687192\n", - "std 0.000000\n", - "min 704.687192\n", - "25% 704.687192\n", - "50% 704.687192\n", - "75% 704.687192\n", - "max 704.687192\n", + "CC desc: count 2.000000\n", + "mean 1012.836233\n", + "std 0.000000\n", + "min 1012.836233\n", + "25% 1012.836233\n", + "50% 1012.836233\n", + "75% 1012.836233\n", + "max 1012.836233\n", "dtype: float64\n", - "Gasoline desc: count 543.000000\n", - "mean 2183.313313\n", - "std 1477.987438\n", - "min 12.560442\n", - "25% 815.432115\n", - "50% 2087.558629\n", - "75% 3239.910661\n", - "max 6137.429660\n", + "Gasoline desc: count 538.000000\n", + "mean 4160.587868\n", + "std 2784.545303\n", + "min 43.284052\n", + "25% 1765.684257\n", + "50% 3916.877367\n", + "75% 6158.576105\n", + "max 12373.023010\n", "Name: Gasoline (Wh/pkm), dtype: float64\n", - "Diesel desc: count 513.000000\n", - "mean 1747.579400\n", - "std 1120.253347\n", - "min 9.174960\n", - "25% 1023.545709\n", - "50% 1461.762455\n", - "75% 2245.691684\n", - "max 7598.069109\n", + "Diesel desc: count 477.000000\n", + "mean 3234.106333\n", + "std 2171.662627\n", + "min 20.774758\n", + "25% 1867.069601\n", + "50% 2716.039115\n", + "75% 4086.438881\n", + "max 14961.754333\n", "Name: Diesel (Wh/pkm), dtype: float64\n", - "LPG desc: count 37.000000\n", - "mean 2877.902182\n", - "std 1619.929365\n", - "min 30.098812\n", - "25% 1672.037706\n", - "50% 2928.147468\n", - "75% 4195.540618\n", - "max 5895.919290\n", + "LPG desc: count 34.000000\n", + "mean 4985.231043\n", + "std 3100.350194\n", + "min 181.849998\n", + "25% 1848.053584\n", + "50% 5386.879752\n", + "75% 7495.616440\n", + "max 11626.093635\n", "Name: LPG (Wh/pkm), dtype: float64\n", - "CNG desc: count 192.000000\n", - "mean 654.580039\n", - "std 621.179800\n", - "min 2.708370\n", - "25% 336.794314\n", - "50% 492.509217\n", - "75% 773.634360\n", - "max 5102.009088\n", + "CNG desc: count 189.000000\n", + "mean 1246.619397\n", + "std 1286.533015\n", + "min 0.448275\n", + "25% 589.749696\n", + "50% 920.649585\n", + "75% 1420.403309\n", + "max 10036.043587\n", "Name: CNG (Wh/pkm), dtype: float64\n", - "Hydrogen desc: count 7.000000\n", - "mean 751.893139\n", - "std 479.678680\n", - "min 52.580673\n", - "25% 436.748944\n", - "50% 715.213421\n", - "75% 1114.521584\n", - "max 1392.916822\n", + "Hydrogen desc: count 9.000000\n", + "mean 1003.108263\n", + "std 673.345615\n", + "min 81.973612\n", + "25% 791.181461\n", + "50% 949.298518\n", + "75% 1219.123925\n", + "max 2484.496843\n", "Name: Hydrogen (Wh/pkm), dtype: float64\n", - "Electric desc: count 226.000000\n", - "mean 484.731934\n", - "std 533.463063\n", - "min 0.233576\n", - "25% 164.205416\n", - "50% 332.519880\n", - "75% 586.501863\n", - "max 3316.510016\n", + "Electric desc: count 254.000000\n", + "mean 832.809614\n", + "std 1212.301091\n", + "min 0.593556\n", + "25% 248.655491\n", + "50% 528.985684\n", + "75% 926.839645\n", + "max 10894.283886\n", "Name: Electric (Wh/pkm), dtype: float64\n", - "Other desc: count 2.000000\n", - "mean 4321.093461\n", - "std 1156.798817\n", - "min 3503.113173\n", - "25% 3912.103317\n", - "50% 4321.093461\n", - "75% 4730.083605\n", - "max 5139.073748\n", + "Other desc: count 3.000000\n", + "mean 4412.360112\n", + "std 5076.799042\n", + "min 1054.896435\n", + "25% 1492.161021\n", + "50% 1929.425607\n", + "75% 6091.091950\n", + "max 10252.758294\n", "Name: Other (Wh/pkm), dtype: float64\n", - "All Fuels desc: count 1022.000000\n", - "mean 1729.838647\n", - "std 1322.070446\n", - "min 14.867297\n", - "25% 643.457021\n", - "50% 1385.904512\n", - "75% 2592.253431\n", - "max 7598.069109\n", + "All Fuels desc: count 999.000000\n", + "mean 3323.542217\n", + "std 2654.901438\n", + "min 27.555022\n", + "25% 1229.109145\n", + "50% 2631.551769\n", + "75% 4914.713413\n", + "max 14961.754333\n", "Name: All Fuels (Wh/pkm), dtype: float64\n" ] }, @@ -1493,15 +1540,27 @@ "name": "stderr", "output_type": "stream", "text": [ + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", " 2.e+03, 3.e+03, 4.e+03, 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8.e+03, 9.e+03])\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.font_manager:findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n", "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", @@ -12033,16 +12092,16 @@ "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", "DEBUG:matplotlib.font_manager:findfont: Matching DejaVu Sans Display:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans Display ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf') with score of 0.050000.\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.font_manager:findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0.\n", "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n", @@ -12449,437 +12508,266 @@ "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/Supplemental/Tamil Sangam MN.ttc', name='Tamil Sangam MN', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", "DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='/System/Library/Fonts/ZapfDingbats.ttf', name='Zapf Dingbats', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n", "DEBUG:matplotlib.font_manager:findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to DejaVu Sans ('/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 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6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + "DEBUG:matplotlib.backends.backend_pdf:Assigning font /F1 = '/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + "DEBUG:matplotlib.ticker:vmin 0.8184306128925417 vmax 67.20178733981619\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 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4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8116229747211479 vmax 80.08644657001271\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 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2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", 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3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8032403202953746 vmax 99.59659391921672\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n" + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7998785255286476 vmax 108.7665154437054\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" ] }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "name": "stdout", "output_type": "stream", "text": [ - "Creating ../src/emcommon/resources/ntd2021_intensities.json\n" + "Saved figure as plots/distribution_of_wh_pkm_after_removing_outliers_2022_3.pdf\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -12887,18 +12775,85 @@ "name": "stdout", "output_type": "stream", "text": [ - "dropping 12 rows with missing UACE Code\n" + "dropping 12 rows with missing UACE Code\n", + "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n", + "Index([ 'Agency',\n", + " 'City',\n", + " 'State',\n", + " 'Legacy NTD ID',\n", + " 'NTD ID',\n", + " 'Organization Type',\n", + " 'NTD Reporter Type',\n", + " 'Primary UZA Population',\n", + " 'Agency VOMS',\n", + " 'Mode',\n", + " 'Type of Service',\n", + " 'Mode VOMS',\n", + " 'Mode VOMS Questionable',\n", + " 'Max Trains in Operation',\n", + " 'Max Trains in Operation Questionable',\n", + " 'Average Speed (mi/hr)',\n", + " 'Average Speed (mi/hr) Questionable',\n", + " 'Average Passenger Trip Length (mi)',\n", + " 'Average Passenger Trip Length (mi) Questionable',\n", + " 'Passengers per Hour',\n", + " 'Passengers per Hour Questionable',\n", + " 'Scheduled Vehicle Revenue Miles',\n", + " 'Scheduled Vehicle Revenue Miles Questionable',\n", + " 'Vehicle Miles',\n", + " 'Vehicle Miles Questionable',\n", + " 'Vehicle Revenue Miles',\n", + " 'Vehicle Revenue Miles Questionable',\n", + " 'Deadhead Miles',\n", + " 'Deadhead Miles Questionable',\n", + " 'Vehicle Hours',\n", + " 'Vehicle Hours Questionable',\n", + " 'Vehicle \\nRevenue \\nHours',\n", + " 'Vehicle Revenue Hours Questionable',\n", + " 'Deadhead Hours',\n", + " 'Deadhead Hours Questionable',\n", + " 'Train Miles',\n", + " 'Train Miles Questionable',\n", + " 'Train \\nRevenue\\nMiles',\n", + " 'Train Revenue Miles Questionable',\n", + " 'Train Hours',\n", + " 'Train Hours Questionable',\n", + " 'Train \\nRevenue \\nHours',\n", + " 'Train Revenue Hours Questionable',\n", + " 'Unlinked Passenger Trips',\n", + " 'Unlinked Passenger Trips Questionable',\n", + " 'Passenger Miles',\n", + " 'Passenger Miles Questionable',\n", + " 'Directional Route Miles',\n", + " 'Directional Route Miles Questionable',\n", + " 'Any data questionable',\n", + " 'Unnamed: 50',\n", + " 'Unnamed: 51',\n", + " 'Unnamed: 52',\n", + " 'Unnamed: 53',\n", + " 'Unnamed: 54',\n", + " 'Unnamed: 55',\n", + " 'Unnamed: 56',\n", + " 'Unnamed: 57',\n", + " 'Unnamed: 58',\n", + " 'Unnamed: 59',\n", + " 'Unnamed: 60',\n", + " 'Unnamed: 61',\n", + " 'Unnamed: 62',\n", + " 0,\n", + " 'Unnamed: 64'],\n", + " dtype='object')\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/2575560671.py:29: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/146710289.py:35: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -12907,191 +12862,191 @@ "output_type": "stream", "text": [ "Removing outliers\n", - "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 7, 'Mode': 'VP', 'UACE Code': '28117', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 836.3380482652224, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 836.3380482652224, 'Unlinked Passenger Trips': 2726, 'Passenger Paid Fares': 34916, 'Average Fare': 12.808510638297872}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 43, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': 62.0204272879202, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 37.97957271207979, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7913.550881359075, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4908.018070265873, 'Unlinked Passenger Trips': 56234, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 57, 'Mode': 'MB', 'UACE Code': '06868', 'Gasoline (%)': 0.0002616041040451842, 'Diesel (%)': 99.99973839589596, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 121458988.65255831, 'Diesel (Wh/pkm)': 1357.266467712866, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1675.004616094951, 'Unlinked Passenger Trips': 209978, 'Passenger Paid Fares': 14880, 'Average Fare': 0.0708645667641372}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10007, 'Mode': 'DR', 'UACE Code': '69778', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8595.261769753632, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8595.261769753632, 'Unlinked Passenger Trips': 15044, 'Passenger Paid Fares': 46721, 'Average Fare': 3.105623504387131}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': 95.31140657802659, 'Diesel (%)': 4.688593421973407, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 189048.27139103858, 'Diesel (Wh/pkm)': 260438.16536380825, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969, 'Passenger Paid Fares': 24693, 'Average Fare': 2.4769786337646704}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 10087, 'Mode': 'MB', 'UACE Code': '61165', 'Gasoline (%)': 0.00234408130126346, 'Diesel (%)': 23.984213677927492, 'LPG (%)': None, 'CNG (%)': 76.01344224077124, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 191324.84513823007, 'Diesel (Wh/pkm)': 1433.188447437779, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 603.2318578422738, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 806.761089399273, 'Unlinked Passenger Trips': 219161, 'Passenger Paid Fares': 158089, 'Average Fare': 0.7213372817243944}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 14.46521191595933, 'Diesel (%)': 85.53478808404067, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6554.885676697948, 'Diesel (Wh/pkm)': 1868.6327913209168, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2546.5092021084633, 'Unlinked Passenger Trips': 67325, 'Passenger Paid Fares': 125268, 'Average Fare': 1.8606461195692536}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11436.274145783691, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11436.274145783691, 'Unlinked Passenger Trips': 110219, 'Passenger Paid Fares': 206388, 'Average Fare': 1.872526515392083}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20178, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16668.869859010247, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16668.869859010247, 'Unlinked Passenger Trips': 5594, 'Passenger Paid Fares': 16314, 'Average Fare': 2.9163389345727566}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': 16.29665690083998, 'Diesel (%)': 83.70334309916002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8151.393980132034, 'Diesel (Wh/pkm)': 6399.8673851514495, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136, 'Passenger Paid Fares': 133703, 'Average Fare': 0.6243835693204319}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30070, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7422.582204170158, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7422.582204170158, 'Unlinked Passenger Trips': 1248, 'Passenger Paid Fares': 43, 'Average Fare': 0.03445512820512821}\n", - "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40006, 'Mode': 'VP', 'UACE Code': '95833', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1164.2454797388434, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1164.2454797388434, 'Unlinked Passenger Trips': 1106, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40009, 'Mode': 'DR', 'UACE Code': '29440', 'Gasoline (%)': 15.403969871105108, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 84.5960301288949, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16596.190742809, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3864.9402772274784, 'Unlinked Passenger Trips': 49187, 'Passenger Paid Fares': 105, 'Average Fare': 0.00213471039095696}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40021, 'Mode': 'DR', 'UACE Code': '00901', 'Gasoline (%)': 0.5882863888691476, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.41171361113085, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21631.134601381116, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 898.0664822136621, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1020.0362999536928, 'Unlinked Passenger Trips': 16537, 'Passenger Paid Fares': 26509, 'Average Fare': 1.6030114289169741}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40028, 'Mode': 'DR', 'UACE Code': '13510', 'Gasoline (%)': 34.35615128141061, 'Diesel (%)': 12.494821430010719, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 53.149027288578665, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9784.879544027819, 'Diesel (Wh/pkm)': 2125.3802618472428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4661.751310739866, 'Unlinked Passenger Trips': 134348, 'Passenger Paid Fares': 590817, 'Average Fare': 4.397661297525828}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40029, 'Mode': 'DR', 'UACE Code': '56602', 'Gasoline (%)': 24.034928648027748, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 75.96507135197226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9170.609862195746, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4213.672412856042, 'Unlinked Passenger Trips': 580964, 'Passenger Paid Fares': 199503, 'Average Fare': 0.3433999352799829}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40036, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 28.69667161018985, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.30332838981015, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9409.598085417954, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 960.6158481811677, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3385.1925352042804, 'Unlinked Passenger Trips': 87964, 'Passenger Paid Fares': 208578, 'Average Fare': 2.371174571415579}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5067.874772314812, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5067.874772314812, 'Unlinked Passenger Trips': 1734, 'Passenger Paid Fares': 4536, 'Average Fare': 2.615916955017301}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': 41.89074063114606, 'Diesel (%)': 58.10925936885394, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5911.141323219672, 'Diesel (Wh/pkm)': 3484.492057801564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4501.033407605474, 'Unlinked Passenger Trips': 308600, 'Passenger Paid Fares': 314393, 'Average Fare': 1.0187718729747246}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8068.285769659408, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8068.285769659408, 'Unlinked Passenger Trips': 7467, 'Passenger Paid Fares': 20256, 'Average Fare': 2.7127360385697066}\n", - "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40063, 'Mode': 'VP', 'UACE Code': '67105', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2553.5170614583517, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2553.5170614583517, 'Unlinked Passenger Trips': 30052, 'Passenger Paid Fares': 178099, 'Average Fare': 5.926360974311194}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7471.373991802114, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7471.373991802114, 'Unlinked Passenger Trips': 15887, 'Passenger Paid Fares': 23723, 'Average Fare': 1.4932334613205767}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 86.56007454084377, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 13.439925459156226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 20022.36788572211, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17454.672412432035, 'Unlinked Passenger Trips': 83982, 'Passenger Paid Fares': 143632, 'Average Fare': 1.7102712486008906}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.97202555689863, 'Diesel (%)': 0.027974443101364183, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13768.823941973898, 'Diesel (Wh/pkm)': 20343.135928937892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876, 'Passenger Paid Fares': 121601, 'Average Fare': 1.399707629264699}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41199, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': 65.41494911897959, 'Diesel (%)': 34.5850508810204, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11840.53567972328, 'Diesel (Wh/pkm)': 4569.2552483880345, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9325.759642844307, 'Unlinked Passenger Trips': 59456, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 44929, 'Mode': 'MB', 'UACE Code': '56602', 'Gasoline (%)': 46.623813528775685, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 53.376186471224315, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4511.669268555804, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2242.5148781768635, 'Unlinked Passenger Trips': 99092, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50010, 'Mode': 'DR', 'UACE Code': '00766', 'Gasoline (%)': 6.287219422812644, 'Diesel (%)': 91.38551243399489, 'LPG (%)': None, 'CNG (%)': 2.3272681431924633, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15971.3847205078, 'Diesel (Wh/pkm)': 4450.281412960737, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 23783.646107353172, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5624.57769537496, 'Unlinked Passenger Trips': 174873, 'Passenger Paid Fares': 370951, 'Average Fare': 2.121259428270802}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50031, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.3124277854218799, 'Diesel (%)': 9.285041116015396, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 90.40253109856272, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9369.198352334271, 'Diesel (Wh/pkm)': 6543.6312898300475, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5635.143135106239, 'Unlinked Passenger Trips': 249229, 'Passenger Paid Fares': 233931, 'Average Fare': 0.938618700071019}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 57.19733249787405, 'Diesel (%)': 42.80266750212595, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12661.356526473113, 'Diesel (Wh/pkm)': 11236.222378581637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135, 'Passenger Paid Fares': 69445, 'Average Fare': 0.5878444152875947}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': 96.4034031732291, 'Diesel (%)': 3.5965968267709076, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4763.65985390647, 'Diesel (Wh/pkm)': 7714.753833697827, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437, 'Passenger Paid Fares': 43770, 'Average Fare': 4.63812652325951}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10809.66733057336, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17248.059467567862, 'Unlinked Passenger Trips': 77841, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60056, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 28.28279863153344, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.71720136846656, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 50353.49488610126, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1445.704394741245, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15278.196294544858, 'Unlinked Passenger Trips': 580173, 'Passenger Paid Fares': 1393166, 'Average Fare': 2.4012940967607936}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60059, 'Mode': 'MB', 'UACE Code': '18748', 'Gasoline (%)': 32.807373129953774, 'Diesel (%)': 67.19262687004623, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5220.548426271043, 'Diesel (Wh/pkm)': 2966.2250087166913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3705.809303869673, 'Unlinked Passenger Trips': 218940, 'Passenger Paid Fares': 31313, 'Average Fare': 0.14302091897323468}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60077, 'Mode': 'DR', 'UACE Code': '79363', 'Gasoline (%)': 17.64705882352941, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 82.35294117647058, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12710.269196950767, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 5534.7869339239105, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6801.048509752178, 'Unlinked Passenger Trips': 21615, 'Passenger Paid Fares': 43134, 'Average Fare': 1.995558639833449}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60090, 'Mode': 'MB', 'UACE Code': '52390', 'Gasoline (%)': 31.761438292833276, 'Diesel (%)': 68.23856170716672, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4798.5744653011625, 'Diesel (Wh/pkm)': 2746.6762995038566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3398.388669265346, 'Unlinked Passenger Trips': 206013, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8363.251851630801, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8363.251851630801, 'Unlinked Passenger Trips': 30740, 'Passenger Paid Fares': 25584, 'Average Fare': 0.8322706571242681}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 70002, 'Mode': 'DR', 'UACE Code': '65269', 'Gasoline (%)': 8.562516278161219, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 91.43748372183877, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 41173.81158656464, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 325.8549411642591, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3823.467878222905, 'Unlinked Passenger Trips': 70753, 'Passenger Paid Fares': 153196, 'Average Fare': 2.1652226760702726}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80004, 'Mode': 'MB', 'UACE Code': '07705', 'Gasoline (%)': 0.45913682277318646, 'Diesel (%)': 99.54086317722681, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 53035.611506997586, 'Diesel (Wh/pkm)': 2742.5137751010757, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2973.4279061015186, 'Unlinked Passenger Trips': 284306, 'Passenger Paid Fares': 293043, 'Average Fare': 1.0307309729657481}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90016, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14589.398372779393, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14589.398372779393, 'Unlinked Passenger Trips': 10520, 'Passenger Paid Fares': 59645, 'Average Fare': 5.66967680608365}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 66.35528850743975, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 29.043653430671146, 'Hydrogen (%)': None, 'Electric (%)': 4.601058061889097, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11238.450373122534, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 459.00266033894036, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 489.5896626018393, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7613.143615398616, 'Unlinked Passenger Trips': 305377, 'Passenger Paid Fares': 992878, 'Average Fare': 3.2513188616038535}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': 64.06421876562514, 'Diesel (%)': 35.93578123437486, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8253.986197750724, 'Diesel (Wh/pkm)': 6367.668942454718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7576.123355501287, 'Unlinked Passenger Trips': 20370, 'Passenger Paid Fares': 66244, 'Average Fare': 3.2520373097692685}\n", - "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 670.4904678381371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 670.4904678381371, 'Unlinked Passenger Trips': 16028, 'Passenger Paid Fares': 120280, 'Average Fare': 7.504367357125031}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': 89.89059687023956, 'Diesel (%)': 10.10940312976042, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15128.021524181726, 'Diesel (Wh/pkm)': 379807.47686567326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105, 'Passenger Paid Fares': 140971, 'Average Fare': 0.7534325646027632}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90136, 'Mode': 'DR', 'UACE Code': '69184', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12585.825606792961, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12585.825606792961, 'Unlinked Passenger Trips': 274826, 'Passenger Paid Fares': 920332, 'Average Fare': 3.3487806830503666}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90148, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': 1.566973222272145, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 90.83970411209418, 'Hydrogen (%)': None, 'Electric (%)': 7.593322665633679, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21531.88752926179, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1432.3600010707942, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1311.9734280832358, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1738.1728743077217, 'Unlinked Passenger Trips': 563382, 'Passenger Paid Fares': 563264, 'Average Fare': 0.9997905506388205}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90156, 'Mode': 'MB', 'UACE Code': '79147', 'Gasoline (%)': 0.03153086616141531, 'Diesel (%)': 99.9684691338386, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 124323.10376248149, 'Diesel (Wh/pkm)': 3327.9673056046868, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3366.118120142726, 'Unlinked Passenger Trips': 179456, 'Passenger Paid Fares': 40474, 'Average Fare': 0.2255371790299572}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90171, 'Mode': 'DR', 'UACE Code': '79309', 'Gasoline (%)': 17.774895865292134, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 82.22510413470788, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9836.353019011784, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1120.1901265014997, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2669.479004094437, 'Unlinked Passenger Trips': 48952, 'Passenger Paid Fares': 48073, 'Average Fare': 0.9820436345808139}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90173, 'Mode': 'MB', 'UACE Code': '56251', 'Gasoline (%)': 17.425753792737854, 'Diesel (%)': 82.57424620726215, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5570.111726888008, 'Diesel (Wh/pkm)': 3431.0687659533223, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3803.813125846691, 'Unlinked Passenger Trips': 333190, 'Passenger Paid Fares': 543138, 'Average Fare': 1.630114949428254}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 99424, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7979.11424776664, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.11424776664, 'Unlinked Passenger Trips': 29368, 'Passenger Paid Fares': 3907, 'Average Fare': 0.1330359575047671}\n", - "Removing YR outlier: expected (np.float64(-67.48704915204291), np.float64(1862.028552893858)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2757.9456068279883, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2757.9456068279883, 'Unlinked Passenger Trips': 84742, 'Passenger Paid Fares': 44018, 'Average Fare': 0.5194354629345543}\n", - "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 10003, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 24.9362162074414, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8027450704530215, 'Other (%)': 71.26103872210558, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3471.768558777796, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13176.098254474178, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1366.781140888867, 'Unlinked Passenger Trips': 4780593, 'Passenger Paid Fares': 3378001, 'Average Fare': 0.7066071092017245}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10061, 'Mode': 'DR', 'UACE Code': '49096', 'Gasoline (%)': 99.95742947556643, 'Diesel (%)': 0.04257052443356939, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1224.6384461151206, 'Diesel (Wh/pkm)': 29395.899944042703, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1236.6310998743406, 'Unlinked Passenger Trips': 294329, 'Passenger Paid Fares': 1487729, 'Average Fare': 5.054646331146438}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': None, 'Diesel (%)': 4.688593421973407, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 260438.16536380825, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969, 'Passenger Paid Fares': 24693, 'Average Fare': 2.4769786337646704}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10098, 'Mode': 'CB', 'UACE Code': '49339', 'Gasoline (%)': 70.60378262627472, 'Diesel (%)': 29.39621737372527, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1080.1846016044428, 'Diesel (Wh/pkm)': 5085.148780410839, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2257.492577346203, 'Unlinked Passenger Trips': 8223, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21565.187394484765, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21565.187394484765, 'Unlinked Passenger Trips': 15651, 'Passenger Paid Fares': 18449, 'Average Fare': 1.1787745192000512}\n", - "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7305.596795588676, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7305.596795588676, 'Unlinked Passenger Trips': 70611, 'Passenger Paid Fares': 390284, 'Average Fare': 5.527240798175922}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5290.150238485294, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5290.150238485294, 'Unlinked Passenger Trips': 74563, 'Passenger Paid Fares': 136669, 'Average Fare': 1.832933224253316}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12318.755341071888, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12318.755341071888, 'Unlinked Passenger Trips': 90178, 'Passenger Paid Fares': 145578, 'Average Fare': 1.6143405265142274}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20113, 'Mode': 'DR', 'UACE Code': '75664', 'Gasoline (%)': 99.49430651345422, 'Diesel (%)': 0.505693486545781, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5845.684019614051, 'Diesel (Wh/pkm)': 7746.581741822263, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5855.296735581155, 'Unlinked Passenger Trips': 121505, 'Passenger Paid Fares': 164634, 'Average Fare': 1.354956586148718}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': 83.70334309916002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6399.8673851514495, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136, 'Passenger Paid Fares': 133703, 'Average Fare': 0.6243835693204319}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30013, 'Mode': 'DR', 'UACE Code': '27766', 'Gasoline (%)': 98.88738349737294, 'Diesel (%)': 1.112616502627054, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3105.410980064051, 'Diesel (Wh/pkm)': 8142.06869596124, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.4496649919615, 'Unlinked Passenger Trips': 107820, 'Passenger Paid Fares': 72238, 'Average Fare': 0.6699870153960304}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30015, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': 56.015721913596884, 'LPG (%)': None, 'CNG (%)': 43.98427808640311, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4482.79633765551, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 620.2326073732524, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2783.8755652636164, 'Unlinked Passenger Trips': 746504, 'Passenger Paid Fares': 78131, 'Average Fare': 0.10466253362339653}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30027, 'Mode': 'CB', 'UACE Code': '97750', 'Gasoline (%)': 82.9386899696655, 'Diesel (%)': 14.117337330512408, 'LPG (%)': None, 'CNG (%)': 2.9439726998220874, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10.700765402507031, 'Diesel (Wh/pkm)': 6695.910914619347, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2004.1027458156293, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1013.1596435221752, 'Unlinked Passenger Trips': 13630, 'Passenger Paid Fares': 47581, 'Average Fare': 3.4909024211298605}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30034, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6846.071487656069, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6846.071487656069, 'Unlinked Passenger Trips': 434474, 'Passenger Paid Fares': 4363800, 'Average Fare': 10.043869138314376}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30044, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': 30.50364354156897, 'LPG (%)': None, 'CNG (%)': 69.49635645843104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18026.294561906096, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3512.3033321054045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7939.59948049839, 'Unlinked Passenger Trips': 113076, 'Passenger Paid Fares': 185430, 'Average Fare': 1.6398705295553433}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30048, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 98.01190485857906, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.9880951414209498, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4995.611910213415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3583.6203895748868, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5370.731774424588, 'Unlinked Passenger Trips': 269010, 'Passenger Paid Fares': 207555, 'Average Fare': 0.7715512434481989}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30070, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9487.029795229942, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9487.029795229942, 'Unlinked Passenger Trips': 414287, 'Passenger Paid Fares': 1209, 'Average Fare': 0.00291826680537888}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30091, 'Mode': 'MB', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 98.82343723607977, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.1765627639202343, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4948.369025780118, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 804.4877882197934, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4941.426018377204, 'Unlinked Passenger Trips': 786997, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 86.91607111730869, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.083928882691302, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6342.638191999525, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3371.3874973571164, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5953.88186418604, 'Unlinked Passenger Trips': 1171986, 'Passenger Paid Fares': 1346, 'Average Fare': 0.0011484778828416038}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40003, 'Mode': 'DR', 'UACE Code': '56116', 'Gasoline (%)': 92.53939661445597, 'Diesel (%)': 7.4606033855440375, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1165.4533135989318, 'Diesel (Wh/pkm)': 33486.644992039575, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3576.809234208851, 'Unlinked Passenger Trips': 112626, 'Passenger Paid Fares': 117219, 'Average Fare': 1.0407809919556763}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40128, 'Mode': 'DR', 'UACE Code': '61372', 'Gasoline (%)': 99.97210936996196, 'Diesel (%)': 0.02789063003804733, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3579.0828890162593, 'Diesel (Wh/pkm)': 9456.000287412198, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3580.7219983054874, 'Unlinked Passenger Trips': 40860, 'Passenger Paid Fares': 83914, 'Average Fare': 2.0536955457660304}\n", - "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6166.262066005301, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6166.262066005301, 'Unlinked Passenger Trips': 34859, 'Passenger Paid Fares': 98044, 'Average Fare': 2.8125878539258156}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5287.577858014632, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5287.577858014632, 'Unlinked Passenger Trips': 63422, 'Passenger Paid Fares': 76761, 'Average Fare': 1.2103213395982466}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': None, 'Diesel (%)': 0.027974443101364183, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 20343.135928937892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876, 'Passenger Paid Fares': 121601, 'Average Fare': 1.399707629264699}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50034, 'Mode': 'DR', 'UACE Code': '42157', 'Gasoline (%)': 97.48556230067355, 'Diesel (%)': 2.514437699326446, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3768.070119945377, 'Diesel (Wh/pkm)': 7500.189710222971, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3861.9119419072645, 'Unlinked Passenger Trips': 25821, 'Passenger Paid Fares': 38362, 'Average Fare': 1.4856899422950312}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9294.426454026227, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9815.785139070314, 'Unlinked Passenger Trips': 424632, 'Passenger Paid Fares': 355651, 'Average Fare': 0.8375511030727784}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 42.80266750212595, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 11236.222378581637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135, 'Passenger Paid Fares': 69445, 'Average Fare': 0.5878444152875947}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50163, 'Mode': 'DR', 'UACE Code': '61705', 'Gasoline (%)': 99.99172713478022, 'Diesel (%)': 0.00827286521978608, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3443.9145085189757, 'Diesel (Wh/pkm)': 25786.018726307066, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3445.7628406881777, 'Unlinked Passenger Trips': 60812, 'Passenger Paid Fares': 70093, 'Average Fare': 1.1526179043609814}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 3.5965968267709076, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7714.753833697827, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437, 'Passenger Paid Fares': 43770, 'Average Fare': 4.63812652325951}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': 15.249880882270247, 'Diesel (%)': 84.75011911772974, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3554.883268558839, 'Diesel (Wh/pkm)': 5873.350050973092, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5519.786628359914, 'Unlinked Passenger Trips': 290718, 'Passenger Paid Fares': 6120, 'Average Fare': 0.021051328091139868}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 99.99777586349961, 'Diesel (%)': 0.0022241365003896514, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1084.4647026235302, 'Diesel (Wh/pkm)': 29041914.89303167, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1730.3724121962607, 'Unlinked Passenger Trips': 52057, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50209, 'Mode': 'MB', 'UACE Code': '41212', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13876.975306563156, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13876.975306563156, 'Unlinked Passenger Trips': 21864, 'Passenger Paid Fares': 21161, 'Average Fare': 0.9678466886205634}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50515, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 12.44866471103661, 'Diesel (%)': 87.5513352889634, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4083.2033512568837, 'Diesel (Wh/pkm)': 5438.4580818167815, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5269.746964428917, 'Unlinked Passenger Trips': 255704, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 1.439848297759746, 'Diesel (%)': 98.56015170224026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.0497435432371, 'Diesel (Wh/pkm)': 7737.19377603069, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7642.320097841982, 'Unlinked Passenger Trips': 116814, 'Passenger Paid Fares': 58811, 'Average Fare': 0.503458489564607}\n", - "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4372.042646800286, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4372.042646800286, 'Unlinked Passenger Trips': 231412, 'Passenger Paid Fares': 25023, 'Average Fare': 0.10813181684614454}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60009, 'Mode': 'DR', 'UACE Code': '47854', 'Gasoline (%)': 97.09323808350781, 'Diesel (%)': 2.906761916492179, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5580.5540888558135, 'Diesel (Wh/pkm)': 8996.769349476335, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5679.855333036924, 'Unlinked Passenger Trips': 22874, 'Passenger Paid Fares': 35139, 'Average Fare': 1.5361983037509837}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 75.81029022280667, 'LPG (%)': None, 'CNG (%)': 24.189709777193343, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8512.530627569853, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1694.3520692291963, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6863.233022216424, 'Unlinked Passenger Trips': 19379, 'Passenger Paid Fares': 15192, 'Average Fare': 0.7839413798441612}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60088, 'Mode': 'MB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6574.292863743138, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6574.292863743138, 'Unlinked Passenger Trips': 1001179, 'Passenger Paid Fares': 1584432, 'Average Fare': 1.58256615450384}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 60095, 'Mode': 'CB', 'UACE Code': '90514', 'Gasoline (%)': 89.71238562993746, 'Diesel (%)': 10.287614370062528, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2144.3946567925614, 'Diesel (Wh/pkm)': 7466.114059896556, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2691.872626840694, 'Unlinked Passenger Trips': 83707, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60101, 'Mode': 'MB', 'UACE Code': '23500', 'Gasoline (%)': 46.80596226016174, 'Diesel (%)': 53.194037739838265, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1898.1060589284132, 'Diesel (Wh/pkm)': 4696.306142582762, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.327346076752, 'Unlinked Passenger Trips': 686796, 'Passenger Paid Fares': 237591, 'Average Fare': 0.34594115283140847}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60102, 'Mode': 'MB', 'UACE Code': '78553', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4779.233884468027, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 78591.8461001409, 'Unlinked Passenger Trips': 159073, 'Passenger Paid Fares': 63119, 'Average Fare': 0.3967926675174291}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 70044, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5582.372038532706, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5582.372038532706, 'Unlinked Passenger Trips': 257534, 'Passenger Paid Fares': 3388482, 'Average Fare': 13.157416108164359}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 70045, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 98.97670796232808, 'Diesel (%)': 1.0232920376719201, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4904.3232503482495, 'Diesel (Wh/pkm)': 67638.37770755179, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5546.275834517581, 'Unlinked Passenger Trips': 34358, 'Passenger Paid Fares': 37338, 'Average Fare': 1.0867338028988882}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 80009, 'Mode': 'DR', 'UACE Code': '57736', 'Gasoline (%)': 96.60881355227818, 'Diesel (%)': 3.3911864477218057, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2139.992548930671, 'Diesel (Wh/pkm)': 42702.512110869146, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3515.543215169635, 'Unlinked Passenger Trips': 30470, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 35.98062749034095, 'Diesel (%)': 64.01937250965905, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3369.950449723907, 'Diesel (Wh/pkm)': 6248.496114454645, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5212.77732168852, 'Unlinked Passenger Trips': 72999, 'Passenger Paid Fares': 27551, 'Average Fare': 0.3774161289880683}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80107, 'Mode': 'MB', 'UACE Code': '57736', 'Gasoline (%)': None, 'Diesel (%)': 67.628789074268, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 32.371210925731994, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4748.573465396116, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1641.035294478154, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3742.6257294906286, 'Unlinked Passenger Trips': 35034, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90023, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': 35.68643146502534, 'Diesel (%)': 0.011078288624481267, 'LPG (%)': None, 'CNG (%)': 60.17498846944118, 'Hydrogen (%)': None, 'Electric (%)': 4.127501776909005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 850.0687599477826, 'Diesel (Wh/pkm)': 8429.715396227202, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 183.71810870222518, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 140.47964092656233, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 420.64372402945133, 'Unlinked Passenger Trips': 14099010, 'Passenger Paid Fares': 54110, 'Average Fare': 0.003837858119116165}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': 10.10940312976042, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 379807.47686567326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105, 'Passenger Paid Fares': 140971, 'Average Fare': 0.7534325646027632}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5087.690211303974, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.690211303974, 'Unlinked Passenger Trips': 218615, 'Passenger Paid Fares': 34915, 'Average Fare': 0.15970999245248496}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 72.56393354375568, 'LPG (%)': None, 'CNG (%)': 27.43606645624432, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9757.12747034666, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4220.59365997757, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8238.120374761358, 'Unlinked Passenger Trips': 186361, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90142, 'Mode': 'MB', 'UACE Code': '22420', 'Gasoline (%)': 1.0020011516599296, 'Diesel (%)': 7.362356683903558, 'LPG (%)': None, 'CNG (%)': 91.63564216443653, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3560.9552733911814, 'Diesel (Wh/pkm)': 5631.33986686518, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1202.1811788503064, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1551.9065831504204, 'Unlinked Passenger Trips': 350421, 'Passenger Paid Fares': 43140, 'Average Fare': 0.12310906024467712}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50010, 'Mode': 'DR', 'UACE Code': '00766', 'Gasoline (%)': None, 'Diesel (%)': 91.38551243399489, 'LPG (%)': None, 'CNG (%)': 2.3272681431924633, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4450.281412960737, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 23783.646107353172, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5624.57769537496, 'Unlinked Passenger Trips': 174873, 'Passenger Paid Fares': 370951, 'Average Fare': 2.121259428270802}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50016, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 17.287079233708226, 'Diesel (%)': 82.58225071215486, 'LPG (%)': None, 'CNG (%)': 0.13067005413692154, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3163.9303575234208, 'Diesel (Wh/pkm)': 2584.7370276666015, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 16783.466186902002, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2703.4161245944306, 'Unlinked Passenger Trips': 242445, 'Passenger Paid Fares': 648080, 'Average Fare': 2.6731011157169666}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 3, 'Mode': 'MB', 'UACE Code': '80389', 'Gasoline (%)': 1.0532454713080446, 'Diesel (%)': 9.730140186482213, 'LPG (%)': None, 'CNG (%)': 89.11796074570613, 'Hydrogen (%)': None, 'Electric (%)': 0.09865359650363488, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.9674456541436, 'Diesel (Wh/pkm)': 1561.7612605413683, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 383.10385990260716, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 4851.62612047551, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 510.2636587570521, 'Unlinked Passenger Trips': 4363241, 'Passenger Paid Fares': 4423976, 'Average Fare': 1.0139196986826995}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 18, 'Mode': 'MB', 'UACE Code': '44479', 'Gasoline (%)': None, 'Diesel (%)': 99.99857792162375, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.001422078376253497, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2380.0486369924834, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 18700.51248905617, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2380.280726779828, 'Unlinked Passenger Trips': 1415305, 'Passenger Paid Fares': 104354, 'Average Fare': 0.07373251701929973}\n", - "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 10003, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8027450704530215, 'Other (%)': 71.26103872210558, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13176.098254474178, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1366.781140888867, 'Unlinked Passenger Trips': 4780593, 'Passenger Paid Fares': 3378001, 'Average Fare': 0.7066071092017245}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30019, 'Mode': 'MB', 'UACE Code': '69076', 'Gasoline (%)': None, 'Diesel (%)': 99.99953751247902, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.0004624875209711363, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1349.627002469076, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 104391.17727419212, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1350.1035567804977, 'Unlinked Passenger Trips': 60307213, 'Passenger Paid Fares': 73881951, 'Average Fare': 1.225093107850963}\n", - "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3137.866299953118, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3137.866299953118, 'Unlinked Passenger Trips': 1460121, 'Passenger Paid Fares': 1596223, 'Average Fare': 1.0932128227729072}\n", - "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 633.1390723711863, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 633.1390723711863, 'Unlinked Passenger Trips': 1615560, 'Passenger Paid Fares': 5290300, 'Average Fare': 3.274592091906212}\n", - "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1527.6327542619572, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1527.6327542619572, 'Unlinked Passenger Trips': 545259, 'Passenger Paid Fares': 681652, 'Average Fare': 1.25014350978159}\n", - "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 397.6404700713487, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 397.6404700713487, 'Unlinked Passenger Trips': 2420125, 'Passenger Paid Fares': 2962423, 'Average Fare': 1.2240785083415113}\n", - "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2113.6261094781307, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2113.6261094781307, 'Unlinked Passenger Trips': 465123, 'Passenger Paid Fares': 793335, 'Average Fare': 1.7056456034210306}\n", - "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 50213, 'Mode': 'SR', 'UACE Code': '23824', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 65287.92778331304, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 65287.92778331304, 'Unlinked Passenger Trips': 6568, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 60006, 'Mode': 'SR', 'UACE Code': '27253', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13901.566021869818, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13901.566021869818, 'Unlinked Passenger Trips': 4119, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MG outlier: expected (np.float64(-3030.287463347414), np.float64(7884.636790729673)), got {'NTD ID': 90003, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 8358.967075342556, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8358.967075342556, 'Unlinked Passenger Trips': 112981, 'Passenger Paid Fares': 652596, 'Average Fare': 5.776157052955806}\n", - "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 90015, 'Mode': 'LR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2782.897279285191, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2782.897279285191, 'Unlinked Passenger Trips': 3595952, 'Passenger Paid Fares': 893808, 'Average Fare': 0.24855949133915026}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40037, 'Mode': 'DR', 'UACE Code': '56602', 'Gasoline (%)': 87.65513353886509, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 12.344866461134911, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3985.825243925728, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 10820.233248749928, 'All Fuels (Wh/pkm)': 4829.52378553039, 'Unlinked Passenger Trips': 696832, 'Passenger Paid Fares': 2319938, 'Average Fare': 3.3292644425055107}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90008, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.7210945016236, 'Hydrogen (%)': None, 'Electric (%)': 0.1366067747149745, 'Other (%)': 0.14229872366143176, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 442.74386368068724, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2.8225147393965107, 'Other (Wh/pkm)': 17006.729881829724, 'All Fuels (Wh/pkm)': 465.71324200590004, 'Unlinked Passenger Trips': 5027105, 'Passenger Paid Fares': 1858717, 'Average Fare': 0.3697390446390119}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1361318043431337, 'Diesel (%)': 18.761870813285633, 'LPG (%)': None, 'CNG (%)': 78.25953294967735, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.8424644326938813, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1863.5552865262869, 'Diesel (Wh/pkm)': 2952.1724002582705, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 819.6249378571132, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 10161.535613287371, 'All Fuels (Wh/pkm)': 1320.7327407524645, 'Unlinked Passenger Trips': 5537099, 'Passenger Paid Fares': 688482, 'Average Fare': 0.12433983932741675}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90211, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 14.931764086739149, 'Hydrogen (%)': None, 'Electric (%)': 78.43781023120074, 'Other (%)': 6.630425682060115, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1617.0172703813037, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1832.3977611138912, 'Other (Wh/pkm)': 19156.993906893305, 'All Fuels (Wh/pkm)': 3332.321343644299, 'Unlinked Passenger Trips': 68573, 'Passenger Paid Fares': 53022, 'Average Fare': 0.7732197803800329}\n", - "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 7, 'Mode': 'VP', 'UACE Code': '28117', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 836.3380482652224, 'Unlinked Passenger Trips': 2726, 'Passenger Paid Fares': 34916, 'Average Fare': 12.808510638297872}\n", - "Removing YR outlier: expected (np.float64(-67.48704915204291), np.float64(1862.028552893858)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2757.9456068279883, 'Unlinked Passenger Trips': 84742, 'Passenger Paid Fares': 44018, 'Average Fare': 0.5194354629345543}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10007, 'Mode': 'DR', 'UACE Code': '69778', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8595.261769753632, 'Unlinked Passenger Trips': 15044, 'Passenger Paid Fares': 46721, 'Average Fare': 3.105623504387131}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969, 'Passenger Paid Fares': 24693, 'Average Fare': 2.4769786337646704}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21565.187394484765, 'Unlinked Passenger Trips': 15651, 'Passenger Paid Fares': 18449, 'Average Fare': 1.1787745192000512}\n", - "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7305.596795588676, 'Unlinked Passenger Trips': 70611, 'Passenger Paid Fares': 390284, 'Average Fare': 5.527240798175922}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5290.150238485294, 'Unlinked Passenger Trips': 74563, 'Passenger Paid Fares': 136669, 'Average Fare': 1.832933224253316}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11436.274145783691, 'Unlinked Passenger Trips': 110219, 'Passenger Paid Fares': 206388, 'Average Fare': 1.872526515392083}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20071, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4396.055451781632, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7996.428137047578, 'Unlinked Passenger Trips': 52774, 'Passenger Paid Fares': 63846, 'Average Fare': 1.2098002804411263}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12318.755341071888, 'Unlinked Passenger Trips': 90178, 'Passenger Paid Fares': 145578, 'Average Fare': 1.6143405265142274}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20178, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16668.869859010247, 'Unlinked Passenger Trips': 5594, 'Passenger Paid Fares': 16314, 'Average Fare': 2.9163389345727566}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136, 'Passenger Paid Fares': 133703, 'Average Fare': 0.6243835693204319}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30011, 'Mode': 'DR', 'UACE Code': '01792', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 42.66220180331024, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11261.24119452563, 'Unlinked Passenger Trips': 5321, 'Passenger Paid Fares': 18003, 'Average Fare': 3.3833865814696487}\n", - "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3137.866299953118, 'Unlinked Passenger Trips': 1460121, 'Passenger Paid Fares': 1596223, 'Average Fare': 1.0932128227729072}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30034, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6846.071487656069, 'Unlinked Passenger Trips': 434474, 'Passenger Paid Fares': 4363800, 'Average Fare': 10.043869138314376}\n", - "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 633.1390723711863, 'Unlinked Passenger Trips': 1615560, 'Passenger Paid Fares': 5290300, 'Average Fare': 3.274592091906212}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30044, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 69.49635645843104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3512.3033321054045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7939.59948049839, 'Unlinked Passenger Trips': 113076, 'Passenger Paid Fares': 185430, 'Average Fare': 1.6398705295553433}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30048, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.9880951414209498, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3583.6203895748868, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5370.731774424588, 'Unlinked Passenger Trips': 269010, 'Passenger Paid Fares': 207555, 'Average Fare': 0.7715512434481989}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30070, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7422.582204170158, 'Unlinked Passenger Trips': 1248, 'Passenger Paid Fares': 43, 'Average Fare': 0.03445512820512821}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30070, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9487.029795229942, 'Unlinked Passenger Trips': 414287, 'Passenger Paid Fares': 1209, 'Average Fare': 0.00291826680537888}\n", - "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1527.6327542619572, 'Unlinked Passenger Trips': 545259, 'Passenger Paid Fares': 681652, 'Average Fare': 1.25014350978159}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30091, 'Mode': 'MB', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.1765627639202343, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 804.4877882197934, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4941.426018377204, 'Unlinked Passenger Trips': 786997, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.083928882691302, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3371.3874973571164, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5953.88186418604, 'Unlinked Passenger Trips': 1171986, 'Passenger Paid Fares': 1346, 'Average Fare': 0.0011484778828416038}\n", - "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40006, 'Mode': 'VP', 'UACE Code': '95833', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1164.2454797388434, 'Unlinked Passenger Trips': 1106, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5067.874772314812, 'Unlinked Passenger Trips': 1734, 'Passenger Paid Fares': 4536, 'Average Fare': 2.615916955017301}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': None, 'Diesel (%)': 58.10925936885394, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3484.492057801564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4501.033407605474, 'Unlinked Passenger Trips': 308600, 'Passenger Paid Fares': 314393, 'Average Fare': 1.0187718729747246}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8068.285769659408, 'Unlinked Passenger Trips': 7467, 'Passenger Paid Fares': 20256, 'Average Fare': 2.7127360385697066}\n", - "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40063, 'Mode': 'VP', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2553.5170614583517, 'Unlinked Passenger Trips': 30052, 'Passenger Paid Fares': 178099, 'Average Fare': 5.926360974311194}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7471.373991802114, 'Unlinked Passenger Trips': 15887, 'Passenger Paid Fares': 23723, 'Average Fare': 1.4932334613205767}\n", - "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6166.262066005301, 'Unlinked Passenger Trips': 34859, 'Passenger Paid Fares': 98044, 'Average Fare': 2.8125878539258156}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5287.577858014632, 'Unlinked Passenger Trips': 63422, 'Passenger Paid Fares': 76761, 'Average Fare': 1.2103213395982466}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 13.439925459156226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17454.672412432035, 'Unlinked Passenger Trips': 83982, 'Passenger Paid Fares': 143632, 'Average Fare': 1.7102712486008906}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876, 'Passenger Paid Fares': 121601, 'Average Fare': 1.399707629264699}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41199, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 34.5850508810204, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4569.2552483880345, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9325.759642844307, 'Unlinked Passenger Trips': 59456, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 397.6404700713487, 'Unlinked Passenger Trips': 2420125, 'Passenger Paid Fares': 2962423, 'Average Fare': 1.2240785083415113}\n", - "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2113.6261094781307, 'Unlinked Passenger Trips': 465123, 'Passenger Paid Fares': 793335, 'Average Fare': 1.7056456034210306}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9815.785139070314, 'Unlinked Passenger Trips': 424632, 'Passenger Paid Fares': 355651, 'Average Fare': 0.8375511030727784}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135, 'Passenger Paid Fares': 69445, 'Average Fare': 0.5878444152875947}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437, 'Passenger Paid Fares': 43770, 'Average Fare': 4.63812652325951}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': 15.249880882270247, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3554.883268558839, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5519.786628359914, 'Unlinked Passenger Trips': 290718, 'Passenger Paid Fares': 6120, 'Average Fare': 0.021051328091139868}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17248.059467567862, 'Unlinked Passenger Trips': 77841, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50209, 'Mode': 'MB', 'UACE Code': '41212', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13876.975306563156, 'Unlinked Passenger Trips': 21864, 'Passenger Paid Fares': 21161, 'Average Fare': 0.9678466886205634}\n", - "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 50213, 'Mode': 'SR', 'UACE Code': '23824', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 65287.92778331304, 'Unlinked Passenger Trips': 6568, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50515, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 12.44866471103661, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4083.2033512568837, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5269.746964428917, 'Unlinked Passenger Trips': 255704, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 1.439848297759746, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.0497435432371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7642.320097841982, 'Unlinked Passenger Trips': 116814, 'Passenger Paid Fares': 58811, 'Average Fare': 0.503458489564607}\n", - "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 60006, 'Mode': 'SR', 'UACE Code': '27253', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13901.566021869818, 'Unlinked Passenger Trips': 4119, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60007, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1168.9400641985358, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7589.831864738881, 'Unlinked Passenger Trips': 213978, 'Passenger Paid Fares': 601019, 'Average Fare': 2.8087887539840546}\n", - "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4372.042646800286, 'Unlinked Passenger Trips': 231412, 'Passenger Paid Fares': 25023, 'Average Fare': 0.10813181684614454}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60056, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.71720136846656, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1445.704394741245, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15278.196294544858, 'Unlinked Passenger Trips': 580173, 'Passenger Paid Fares': 1393166, 'Average Fare': 2.4012940967607936}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60088, 'Mode': 'MB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6574.292863743138, 'Unlinked Passenger Trips': 1001179, 'Passenger Paid Fares': 1584432, 'Average Fare': 1.58256615450384}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60102, 'Mode': 'MB', 'UACE Code': '78553', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 78591.8461001409, 'Unlinked Passenger Trips': 159073, 'Passenger Paid Fares': 63119, 'Average Fare': 0.3967926675174291}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8363.251851630801, 'Unlinked Passenger Trips': 30740, 'Passenger Paid Fares': 25584, 'Average Fare': 0.8322706571242681}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 70044, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5582.372038532706, 'Unlinked Passenger Trips': 257534, 'Passenger Paid Fares': 3388482, 'Average Fare': 13.157416108164359}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 35.98062749034095, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3369.950449723907, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5212.77732168852, 'Unlinked Passenger Trips': 72999, 'Passenger Paid Fares': 27551, 'Average Fare': 0.3774161289880683}\n", - "Removing MG outlier: expected (np.float64(-3030.287463347414), np.float64(7884.636790729673)), got {'NTD ID': 90003, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8358.967075342556, 'Unlinked Passenger Trips': 112981, 'Passenger Paid Fares': 652596, 'Average Fare': 5.776157052955806}\n", - "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 90015, 'Mode': 'LR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2782.897279285191, 'Unlinked Passenger Trips': 3595952, 'Passenger Paid Fares': 893808, 'Average Fare': 0.24855949133915026}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90016, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14589.398372779393, 'Unlinked Passenger Trips': 10520, 'Passenger Paid Fares': 59645, 'Average Fare': 5.66967680608365}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 29.043653430671146, 'Hydrogen (%)': None, 'Electric (%)': 4.601058061889097, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 459.00266033894036, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 489.5896626018393, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7613.143615398616, 'Unlinked Passenger Trips': 305377, 'Passenger Paid Fares': 992878, 'Average Fare': 3.2513188616038535}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': None, 'Diesel (%)': 35.93578123437486, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6367.668942454718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7576.123355501287, 'Unlinked Passenger Trips': 20370, 'Passenger Paid Fares': 66244, 'Average Fare': 3.2520373097692685}\n", - "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 670.4904678381371, 'Unlinked Passenger Trips': 16028, 'Passenger Paid Fares': 120280, 'Average Fare': 7.504367357125031}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105, 'Passenger Paid Fares': 140971, 'Average Fare': 0.7534325646027632}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.690211303974, 'Unlinked Passenger Trips': 218615, 'Passenger Paid Fares': 34915, 'Average Fare': 0.15970999245248496}\n", - "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 27.43606645624432, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4220.59365997757, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8238.120374761358, 'Unlinked Passenger Trips': 186361, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90136, 'Mode': 'DR', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12585.825606792961, 'Unlinked Passenger Trips': 274826, 'Passenger Paid Fares': 920332, 'Average Fare': 3.3487806830503666}\n", - "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 99424, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.11424776664, 'Unlinked Passenger Trips': 29368, 'Passenger Paid Fares': 3907, 'Average Fare': 0.1330359575047671}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 7, 'Mode': 'VP', 'UACE Code': '28117', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 836.3380482652224, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 836.3380482652224, 'Unlinked Passenger Trips': 2726, 'Passenger Paid Fares': 34916, 'Average Fare': 12.808510638297872, 'Average Passengers': 2.5432620106166266}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 43, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': 62.0204272879202, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 37.97957271207979, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7913.550881359075, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4908.018070265873, 'Unlinked Passenger Trips': 56234, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.5245498104111297}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 57, 'Mode': 'MB', 'UACE Code': '06868', 'Gasoline (%)': 0.0002616041040451842, 'Diesel (%)': 99.99973839589596, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 121458988.65255831, 'Diesel (Wh/pkm)': 1357.266467712866, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1675.004616094951, 'Unlinked Passenger Trips': 209978, 'Passenger Paid Fares': 14880, 'Average Fare': 0.0708645667641372, 'Average Passengers': 1.7295590391338669}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10007, 'Mode': 'DR', 'UACE Code': '69778', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8595.261769753632, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8595.261769753632, 'Unlinked Passenger Trips': 15044, 'Passenger Paid Fares': 46721, 'Average Fare': 3.105623504387131, 'Average Passengers': 0.36655024263592245}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': 95.31140657802659, 'Diesel (%)': 4.688593421973407, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 189048.27139103858, 'Diesel (Wh/pkm)': 260438.16536380825, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969, 'Passenger Paid Fares': 24693, 'Average Fare': 2.4769786337646704, 'Average Passengers': 0.6614595476801121}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 10087, 'Mode': 'MB', 'UACE Code': '61165', 'Gasoline (%)': 0.00234408130126346, 'Diesel (%)': 23.984213677927492, 'LPG (%)': None, 'CNG (%)': 76.01344224077124, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 191324.84513823007, 'Diesel (Wh/pkm)': 1433.188447437779, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 603.2318578422738, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 806.761089399273, 'Unlinked Passenger Trips': 219161, 'Passenger Paid Fares': 158089, 'Average Fare': 0.7213372817243944, 'Average Passengers': 2.1405389474046537}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 14.46521191595933, 'Diesel (%)': 85.53478808404067, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6554.885676697948, 'Diesel (Wh/pkm)': 1868.6327913209168, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2546.5092021084633, 'Unlinked Passenger Trips': 67325, 'Passenger Paid Fares': 125268, 'Average Fare': 1.8606461195692536, 'Average Passengers': 1.3329845818427861}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11436.274145783691, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11436.274145783691, 'Unlinked Passenger Trips': 110219, 'Passenger Paid Fares': 206388, 'Average Fare': 1.872526515392083, 'Average Passengers': 0.5500782412444779}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20178, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16668.869859010247, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16668.869859010247, 'Unlinked Passenger Trips': 5594, 'Passenger Paid Fares': 16314, 'Average Fare': 2.9163389345727566, 'Average Passengers': 0.521684809144958}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': 16.29665690083998, 'Diesel (%)': 83.70334309916002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8151.393980132034, 'Diesel (Wh/pkm)': 6399.8673851514495, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136, 'Passenger Paid Fares': 133703, 'Average Fare': 0.6243835693204319, 'Average Passengers': 0.9645925436271238}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30070, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7422.582204170158, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7422.582204170158, 'Unlinked Passenger Trips': 1248, 'Passenger Paid Fares': 43, 'Average Fare': 0.03445512820512821, 'Average Passengers': 0.23231830534457532}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40006, 'Mode': 'VP', 'UACE Code': '95833', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1164.2454797388434, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1164.2454797388434, 'Unlinked Passenger Trips': 1106, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.2738645262333594}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40009, 'Mode': 'DR', 'UACE Code': '29440', 'Gasoline (%)': 15.403969871105108, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 84.5960301288949, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16596.190742809, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3864.9402772274784, 'Unlinked Passenger Trips': 49187, 'Passenger Paid Fares': 105, 'Average Fare': 0.00213471039095696, 'Average Passengers': 0.8057170542635659}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40021, 'Mode': 'DR', 'UACE Code': '00901', 'Gasoline (%)': 0.5882863888691476, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.41171361113085, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21631.134601381116, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 898.0664822136621, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1020.0362999536928, 'Unlinked Passenger Trips': 16537, 'Passenger Paid Fares': 26509, 'Average Fare': 1.6030114289169741, 'Average Passengers': 0.9597279797183872}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40028, 'Mode': 'DR', 'UACE Code': '13510', 'Gasoline (%)': 34.35615128141061, 'Diesel (%)': 12.494821430010719, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 53.149027288578665, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9784.879544027819, 'Diesel (Wh/pkm)': 2125.3802618472428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4661.751310739866, 'Unlinked Passenger Trips': 134348, 'Passenger Paid Fares': 590817, 'Average Fare': 4.397661297525828, 'Average Passengers': 0.8036274938614307}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40029, 'Mode': 'DR', 'UACE Code': '56602', 'Gasoline (%)': 24.034928648027748, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 75.96507135197226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9170.609862195746, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4213.672412856042, 'Unlinked Passenger Trips': 580964, 'Passenger Paid Fares': 199503, 'Average Fare': 0.3433999352799829, 'Average Passengers': 0.44563361809045765}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40036, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 28.69667161018985, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.30332838981015, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9409.598085417954, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 960.6158481811677, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3385.1925352042804, 'Unlinked Passenger Trips': 87964, 'Passenger Paid Fares': 208578, 'Average Fare': 2.371174571415579, 'Average Passengers': 0.9669326707741212}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5067.874772314812, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5067.874772314812, 'Unlinked Passenger Trips': 1734, 'Passenger Paid Fares': 4536, 'Average Fare': 2.615916955017301, 'Average Passengers': 0.2828135763805764}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': 41.89074063114606, 'Diesel (%)': 58.10925936885394, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5911.141323219672, 'Diesel (Wh/pkm)': 3484.492057801564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4501.033407605474, 'Unlinked Passenger Trips': 308600, 'Passenger Paid Fares': 314393, 'Average Fare': 1.0187718729747246, 'Average Passengers': 1.0800815054536737}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8068.285769659408, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8068.285769659408, 'Unlinked Passenger Trips': 7467, 'Passenger Paid Fares': 20256, 'Average Fare': 2.7127360385697066, 'Average Passengers': 0.4798360876979891}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40063, 'Mode': 'VP', 'UACE Code': '67105', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2553.5170614583517, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2553.5170614583517, 'Unlinked Passenger Trips': 30052, 'Passenger Paid Fares': 178099, 'Average Fare': 5.926360974311194, 'Average Passengers': 3.5661533637361367}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7471.373991802114, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7471.373991802114, 'Unlinked Passenger Trips': 15887, 'Passenger Paid Fares': 23723, 'Average Fare': 1.4932334613205767, 'Average Passengers': 0.37544751667922616}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 86.56007454084377, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 13.439925459156226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 20022.36788572211, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17454.672412432035, 'Unlinked Passenger Trips': 83982, 'Passenger Paid Fares': 143632, 'Average Fare': 1.7102712486008906, 'Average Passengers': 0.8731092944240355}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.97202555689863, 'Diesel (%)': 0.027974443101364183, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13768.823941973898, 'Diesel (Wh/pkm)': 20343.135928937892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876, 'Passenger Paid Fares': 121601, 'Average Fare': 1.399707629264699, 'Average Passengers': 0.8473862236529575}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41199, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': 65.41494911897959, 'Diesel (%)': 34.5850508810204, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11840.53567972328, 'Diesel (Wh/pkm)': 4569.2552483880345, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9325.759642844307, 'Unlinked Passenger Trips': 59456, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6408904790197668}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 44929, 'Mode': 'MB', 'UACE Code': '56602', 'Gasoline (%)': 46.623813528775685, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 53.376186471224315, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4511.669268555804, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2242.5148781768635, 'Unlinked Passenger Trips': 99092, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 2.634878099316251}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50010, 'Mode': 'DR', 'UACE Code': '00766', 'Gasoline (%)': 6.287219422812644, 'Diesel (%)': 91.38551243399489, 'LPG (%)': None, 'CNG (%)': 2.3272681431924633, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15971.3847205078, 'Diesel (Wh/pkm)': 4450.281412960737, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 23783.646107353172, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5624.57769537496, 'Unlinked Passenger Trips': 174873, 'Passenger Paid Fares': 370951, 'Average Fare': 2.121259428270802, 'Average Passengers': 0.6031748878066041}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50031, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.3124277854218799, 'Diesel (%)': 9.285041116015396, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 90.40253109856272, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9369.198352334271, 'Diesel (Wh/pkm)': 6543.6312898300475, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5635.143135106239, 'Unlinked Passenger Trips': 249229, 'Passenger Paid Fares': 233931, 'Average Fare': 0.938618700071019, 'Average Passengers': 0.5897104778756012}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 57.19733249787405, 'Diesel (%)': 42.80266750212595, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12661.356526473113, 'Diesel (Wh/pkm)': 11236.222378581637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135, 'Passenger Paid Fares': 69445, 'Average Fare': 0.5878444152875947, 'Average Passengers': 0.3196148359486448}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': 96.4034031732291, 'Diesel (%)': 3.5965968267709076, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4763.65985390647, 'Diesel (Wh/pkm)': 7714.753833697827, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437, 'Passenger Paid Fares': 43770, 'Average Fare': 4.63812652325951, 'Average Passengers': 0.5503136385831799}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10809.66733057336, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17248.059467567862, 'Unlinked Passenger Trips': 77841, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.5314408408858262}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60056, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 28.28279863153344, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.71720136846656, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 50353.49488610126, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1445.704394741245, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15278.196294544858, 'Unlinked Passenger Trips': 580173, 'Passenger Paid Fares': 1393166, 'Average Fare': 2.4012940967607936, 'Average Passengers': 0.7029619170722335}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60059, 'Mode': 'MB', 'UACE Code': '18748', 'Gasoline (%)': 32.807373129953774, 'Diesel (%)': 67.19262687004623, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5220.548426271043, 'Diesel (Wh/pkm)': 2966.2250087166913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3705.809303869673, 'Unlinked Passenger Trips': 218940, 'Passenger Paid Fares': 31313, 'Average Fare': 0.14302091897323468, 'Average Passengers': 1.4537377492431252}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60077, 'Mode': 'DR', 'UACE Code': '79363', 'Gasoline (%)': 17.64705882352941, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 82.35294117647058, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12710.269196950767, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 5534.7869339239105, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6801.048509752178, 'Unlinked Passenger Trips': 21615, 'Passenger Paid Fares': 43134, 'Average Fare': 1.995558639833449, 'Average Passengers': 0.4630225860239502}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60090, 'Mode': 'MB', 'UACE Code': '52390', 'Gasoline (%)': 31.761438292833276, 'Diesel (%)': 68.23856170716672, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4798.5744653011625, 'Diesel (Wh/pkm)': 2746.6762995038566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3398.388669265346, 'Unlinked Passenger Trips': 206013, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.0447525892027962}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8363.251851630801, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8363.251851630801, 'Unlinked Passenger Trips': 30740, 'Passenger Paid Fares': 25584, 'Average Fare': 0.8322706571242681, 'Average Passengers': 0.9658468281991964}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 70002, 'Mode': 'DR', 'UACE Code': '65269', 'Gasoline (%)': 8.562516278161219, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 91.43748372183877, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 41173.81158656464, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 325.8549411642591, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3823.467878222905, 'Unlinked Passenger Trips': 70753, 'Passenger Paid Fares': 153196, 'Average Fare': 2.1652226760702726, 'Average Passengers': 0.7383634942110415}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80004, 'Mode': 'MB', 'UACE Code': '07705', 'Gasoline (%)': 0.45913682277318646, 'Diesel (%)': 99.54086317722681, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 53035.611506997586, 'Diesel (Wh/pkm)': 2742.5137751010757, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2973.4279061015186, 'Unlinked Passenger Trips': 284306, 'Passenger Paid Fares': 293043, 'Average Fare': 1.0307309729657481, 'Average Passengers': 1.721731729067321}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90016, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14589.398372779393, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14589.398372779393, 'Unlinked Passenger Trips': 10520, 'Passenger Paid Fares': 59645, 'Average Fare': 5.66967680608365, 'Average Passengers': 0.7345820301807233}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 66.35528850743975, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 29.043653430671146, 'Hydrogen (%)': None, 'Electric (%)': 4.601058061889097, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11238.450373122534, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 459.00266033894036, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 489.5896626018393, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7613.143615398616, 'Unlinked Passenger Trips': 305377, 'Passenger Paid Fares': 992878, 'Average Fare': 3.2513188616038535, 'Average Passengers': 0.6619222832013457}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': 64.06421876562514, 'Diesel (%)': 35.93578123437486, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8253.986197750724, 'Diesel (Wh/pkm)': 6367.668942454718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7576.123355501287, 'Unlinked Passenger Trips': 20370, 'Passenger Paid Fares': 66244, 'Average Fare': 3.2520373097692685, 'Average Passengers': 0.582710090909535}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 670.4904678381371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 670.4904678381371, 'Unlinked Passenger Trips': 16028, 'Passenger Paid Fares': 120280, 'Average Fare': 7.504367357125031, 'Average Passengers': 4.853593453820084}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': 89.89059687023956, 'Diesel (%)': 10.10940312976042, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15128.021524181726, 'Diesel (Wh/pkm)': 379807.47686567326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105, 'Passenger Paid Fares': 140971, 'Average Fare': 0.7534325646027632, 'Average Passengers': 3.318988156348108}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90136, 'Mode': 'DR', 'UACE Code': '69184', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12585.825606792961, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12585.825606792961, 'Unlinked Passenger Trips': 274826, 'Passenger Paid Fares': 920332, 'Average Fare': 3.3487806830503666, 'Average Passengers': 1.3881505087330748}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90148, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': 1.566973222272145, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 90.83970411209418, 'Hydrogen (%)': None, 'Electric (%)': 7.593322665633679, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21531.88752926179, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1432.3600010707942, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1311.9734280832358, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1738.1728743077217, 'Unlinked Passenger Trips': 563382, 'Passenger Paid Fares': 563264, 'Average Fare': 0.9997905506388205, 'Average Passengers': 1.1195162034225343}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90156, 'Mode': 'MB', 'UACE Code': '79147', 'Gasoline (%)': 0.03153086616141531, 'Diesel (%)': 99.9684691338386, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 124323.10376248149, 'Diesel (Wh/pkm)': 3327.9673056046868, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3366.118120142726, 'Unlinked Passenger Trips': 179456, 'Passenger Paid Fares': 40474, 'Average Fare': 0.2255371790299572, 'Average Passengers': 1.587102928659968}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90171, 'Mode': 'DR', 'UACE Code': '79309', 'Gasoline (%)': 17.774895865292134, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 82.22510413470788, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9836.353019011784, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1120.1901265014997, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2669.479004094437, 'Unlinked Passenger Trips': 48952, 'Passenger Paid Fares': 48073, 'Average Fare': 0.9820436345808139, 'Average Passengers': 0.6185118065510806}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90173, 'Mode': 'MB', 'UACE Code': '56251', 'Gasoline (%)': 17.425753792737854, 'Diesel (%)': 82.57424620726215, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5570.111726888008, 'Diesel (Wh/pkm)': 3431.0687659533223, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3803.813125846691, 'Unlinked Passenger Trips': 333190, 'Passenger Paid Fares': 543138, 'Average Fare': 1.630114949428254, 'Average Passengers': 1.3378969262185134}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 99424, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7979.11424776664, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.11424776664, 'Unlinked Passenger Trips': 29368, 'Passenger Paid Fares': 3907, 'Average Fare': 0.1330359575047671, 'Average Passengers': 0.5065091045440697}\n", + "Removing YR outlier: expected (np.float64(-67.48704915204291), np.float64(1862.028552893858)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2757.9456068279883, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2757.9456068279883, 'Unlinked Passenger Trips': 84742, 'Passenger Paid Fares': 44018, 'Average Fare': 0.5194354629345543, 'Average Passengers': 8.973251383892421}\n", + "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 10003, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 24.9362162074414, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8027450704530215, 'Other (%)': 71.26103872210558, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3471.768558777796, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13176.098254474178, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1366.781140888867, 'Unlinked Passenger Trips': 4780593, 'Passenger Paid Fares': 3378001, 'Average Fare': 0.7066071092017245, 'Average Passengers': 6.4691378750100945}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10061, 'Mode': 'DR', 'UACE Code': '49096', 'Gasoline (%)': 99.95742947556643, 'Diesel (%)': 0.04257052443356939, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1224.6384461151206, 'Diesel (Wh/pkm)': 29395.899944042703, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1236.6310998743406, 'Unlinked Passenger Trips': 294329, 'Passenger Paid Fares': 1487729, 'Average Fare': 5.054646331146438, 'Average Passengers': 1.8938435133687181}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': None, 'Diesel (%)': 4.688593421973407, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 260438.16536380825, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969, 'Passenger Paid Fares': 24693, 'Average Fare': 2.4769786337646704, 'Average Passengers': 0.6614595476801121}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10098, 'Mode': 'CB', 'UACE Code': '49339', 'Gasoline (%)': 70.60378262627472, 'Diesel (%)': 29.39621737372527, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1080.1846016044428, 'Diesel (Wh/pkm)': 5085.148780410839, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2257.492577346203, 'Unlinked Passenger Trips': 8223, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.3798131088872687}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21565.187394484765, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21565.187394484765, 'Unlinked Passenger Trips': 15651, 'Passenger Paid Fares': 18449, 'Average Fare': 1.1787745192000512, 'Average Passengers': 0.9205409359852487}\n", + "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7305.596795588676, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7305.596795588676, 'Unlinked Passenger Trips': 70611, 'Passenger Paid Fares': 390284, 'Average Fare': 5.527240798175922, 'Average Passengers': 8.310151233508911}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5290.150238485294, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5290.150238485294, 'Unlinked Passenger Trips': 74563, 'Passenger Paid Fares': 136669, 'Average Fare': 1.832933224253316, 'Average Passengers': 1.118209357700635}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12318.755341071888, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12318.755341071888, 'Unlinked Passenger Trips': 90178, 'Passenger Paid Fares': 145578, 'Average Fare': 1.6143405265142274, 'Average Passengers': 0.47711128400731223}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20113, 'Mode': 'DR', 'UACE Code': '75664', 'Gasoline (%)': 99.49430651345422, 'Diesel (%)': 0.505693486545781, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5845.684019614051, 'Diesel (Wh/pkm)': 7746.581741822263, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5855.296735581155, 'Unlinked Passenger Trips': 121505, 'Passenger Paid Fares': 164634, 'Average Fare': 1.354956586148718, 'Average Passengers': 0.5732319896107693}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': 83.70334309916002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6399.8673851514495, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136, 'Passenger Paid Fares': 133703, 'Average Fare': 0.6243835693204319, 'Average Passengers': 0.9645925436271238}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30013, 'Mode': 'DR', 'UACE Code': '27766', 'Gasoline (%)': 98.88738349737294, 'Diesel (%)': 1.112616502627054, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3105.410980064051, 'Diesel (Wh/pkm)': 8142.06869596124, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.4496649919615, 'Unlinked Passenger Trips': 107820, 'Passenger Paid Fares': 72238, 'Average Fare': 0.6699870153960304, 'Average Passengers': 1.2467010820263913}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30015, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': 56.015721913596884, 'LPG (%)': None, 'CNG (%)': 43.98427808640311, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4482.79633765551, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 620.2326073732524, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2783.8755652636164, 'Unlinked Passenger Trips': 746504, 'Passenger Paid Fares': 78131, 'Average Fare': 0.10466253362339653, 'Average Passengers': 2.0289839331952675}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30027, 'Mode': 'CB', 'UACE Code': '97750', 'Gasoline (%)': 82.9386899696655, 'Diesel (%)': 14.117337330512408, 'LPG (%)': None, 'CNG (%)': 2.9439726998220874, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10.700765402507031, 'Diesel (Wh/pkm)': 6695.910914619347, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2004.1027458156293, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1013.1596435221752, 'Unlinked Passenger Trips': 13630, 'Passenger Paid Fares': 47581, 'Average Fare': 3.4909024211298605, 'Average Passengers': 0.6868394781231713}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30034, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6846.071487656069, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6846.071487656069, 'Unlinked Passenger Trips': 434474, 'Passenger Paid Fares': 4363800, 'Average Fare': 10.043869138314376, 'Average Passengers': 6.584395108673719}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30044, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': 30.50364354156897, 'LPG (%)': None, 'CNG (%)': 69.49635645843104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18026.294561906096, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3512.3033321054045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7939.59948049839, 'Unlinked Passenger Trips': 113076, 'Passenger Paid Fares': 185430, 'Average Fare': 1.6398705295553433, 'Average Passengers': 1.0331425098428275}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30048, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 98.01190485857906, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.9880951414209498, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4995.611910213415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3583.6203895748868, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5370.731774424588, 'Unlinked Passenger Trips': 269010, 'Passenger Paid Fares': 207555, 'Average Fare': 0.7715512434481989, 'Average Passengers': 0.9960158304518297}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30070, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9487.029795229942, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9487.029795229942, 'Unlinked Passenger Trips': 414287, 'Passenger Paid Fares': 1209, 'Average Fare': 0.00291826680537888, 'Average Passengers': 2.4814616668366085}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30091, 'Mode': 'MB', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 98.82343723607977, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.1765627639202343, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4948.369025780118, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 804.4877882197934, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4941.426018377204, 'Unlinked Passenger Trips': 786997, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.3266675610039989}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 86.91607111730869, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.083928882691302, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6342.638191999525, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3371.3874973571164, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5953.88186418604, 'Unlinked Passenger Trips': 1171986, 'Passenger Paid Fares': 1346, 'Average Fare': 0.0011484778828416038, 'Average Passengers': 1.0109770693060582}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40003, 'Mode': 'DR', 'UACE Code': '56116', 'Gasoline (%)': 92.53939661445597, 'Diesel (%)': 7.4606033855440375, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1165.4533135989318, 'Diesel (Wh/pkm)': 33486.644992039575, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3576.809234208851, 'Unlinked Passenger Trips': 112626, 'Passenger Paid Fares': 117219, 'Average Fare': 1.0407809919556763, 'Average Passengers': 0.6792810832967269}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40128, 'Mode': 'DR', 'UACE Code': '61372', 'Gasoline (%)': 99.97210936996196, 'Diesel (%)': 0.02789063003804733, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3579.0828890162593, 'Diesel (Wh/pkm)': 9456.000287412198, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3580.7219983054874, 'Unlinked Passenger Trips': 40860, 'Passenger Paid Fares': 83914, 'Average Fare': 2.0536955457660304, 'Average Passengers': 0.7667514344634518}\n", + "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6166.262066005301, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6166.262066005301, 'Unlinked Passenger Trips': 34859, 'Passenger Paid Fares': 98044, 'Average Fare': 2.8125878539258156, 'Average Passengers': 9.122087177667376}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5287.577858014632, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5287.577858014632, 'Unlinked Passenger Trips': 63422, 'Passenger Paid Fares': 76761, 'Average Fare': 1.2103213395982466, 'Average Passengers': 0.847726503194801}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': None, 'Diesel (%)': 0.027974443101364183, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 20343.135928937892, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876, 'Passenger Paid Fares': 121601, 'Average Fare': 1.399707629264699, 'Average Passengers': 0.8473862236529575}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50034, 'Mode': 'DR', 'UACE Code': '42157', 'Gasoline (%)': 97.48556230067355, 'Diesel (%)': 2.514437699326446, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3768.070119945377, 'Diesel (Wh/pkm)': 7500.189710222971, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3861.9119419072645, 'Unlinked Passenger Trips': 25821, 'Passenger Paid Fares': 38362, 'Average Fare': 1.4856899422950312, 'Average Passengers': 0.45224896565155637}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9294.426454026227, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9815.785139070314, 'Unlinked Passenger Trips': 424632, 'Passenger Paid Fares': 355651, 'Average Fare': 0.8375511030727784, 'Average Passengers': 0.602376242528504}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 42.80266750212595, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 11236.222378581637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135, 'Passenger Paid Fares': 69445, 'Average Fare': 0.5878444152875947, 'Average Passengers': 0.3196148359486448}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50163, 'Mode': 'DR', 'UACE Code': '61705', 'Gasoline (%)': 99.99172713478022, 'Diesel (%)': 0.00827286521978608, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3443.9145085189757, 'Diesel (Wh/pkm)': 25786.018726307066, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3445.7628406881777, 'Unlinked Passenger Trips': 60812, 'Passenger Paid Fares': 70093, 'Average Fare': 1.1526179043609814, 'Average Passengers': 0.6762736224421192}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 3.5965968267709076, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7714.753833697827, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437, 'Passenger Paid Fares': 43770, 'Average Fare': 4.63812652325951, 'Average Passengers': 0.5503136385831799}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': 15.249880882270247, 'Diesel (%)': 84.75011911772974, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3554.883268558839, 'Diesel (Wh/pkm)': 5873.350050973092, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5519.786628359914, 'Unlinked Passenger Trips': 290718, 'Passenger Paid Fares': 6120, 'Average Fare': 0.021051328091139868, 'Average Passengers': 1.0064300647672488}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 99.99777586349961, 'Diesel (%)': 0.0022241365003896514, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1084.4647026235302, 'Diesel (Wh/pkm)': 29041914.89303167, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1730.3724121962607, 'Unlinked Passenger Trips': 52057, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6058819742429203}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50209, 'Mode': 'MB', 'UACE Code': '41212', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13876.975306563156, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13876.975306563156, 'Unlinked Passenger Trips': 21864, 'Passenger Paid Fares': 21161, 'Average Fare': 0.9678466886205634, 'Average Passengers': 0.8598234286467256}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50515, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 12.44866471103661, 'Diesel (%)': 87.5513352889634, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4083.2033512568837, 'Diesel (Wh/pkm)': 5438.4580818167815, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5269.746964428917, 'Unlinked Passenger Trips': 255704, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.0188249805141063}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 1.439848297759746, 'Diesel (%)': 98.56015170224026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.0497435432371, 'Diesel (Wh/pkm)': 7737.19377603069, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7642.320097841982, 'Unlinked Passenger Trips': 116814, 'Passenger Paid Fares': 58811, 'Average Fare': 0.503458489564607, 'Average Passengers': 1.29229108960754}\n", + "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4372.042646800286, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4372.042646800286, 'Unlinked Passenger Trips': 231412, 'Passenger Paid Fares': 25023, 'Average Fare': 0.10813181684614454, 'Average Passengers': 1.6540949427991019}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60009, 'Mode': 'DR', 'UACE Code': '47854', 'Gasoline (%)': 97.09323808350781, 'Diesel (%)': 2.906761916492179, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5580.5540888558135, 'Diesel (Wh/pkm)': 8996.769349476335, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5679.855333036924, 'Unlinked Passenger Trips': 22874, 'Passenger Paid Fares': 35139, 'Average Fare': 1.5361983037509837, 'Average Passengers': 0.6334049739023642}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 75.81029022280667, 'LPG (%)': None, 'CNG (%)': 24.189709777193343, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8512.530627569853, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1694.3520692291963, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6863.233022216424, 'Unlinked Passenger Trips': 19379, 'Passenger Paid Fares': 15192, 'Average Fare': 0.7839413798441612, 'Average Passengers': 0.4236101305805264}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60088, 'Mode': 'MB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6574.292863743138, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6574.292863743138, 'Unlinked Passenger Trips': 1001179, 'Passenger Paid Fares': 1584432, 'Average Fare': 1.58256615450384, 'Average Passengers': 3.3156425819900415}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 60095, 'Mode': 'CB', 'UACE Code': '90514', 'Gasoline (%)': 89.71238562993746, 'Diesel (%)': 10.287614370062528, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2144.3946567925614, 'Diesel (Wh/pkm)': 7466.114059896556, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2691.872626840694, 'Unlinked Passenger Trips': 83707, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.096934604904632}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60101, 'Mode': 'MB', 'UACE Code': '23500', 'Gasoline (%)': 46.80596226016174, 'Diesel (%)': 53.194037739838265, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1898.1060589284132, 'Diesel (Wh/pkm)': 4696.306142582762, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.327346076752, 'Unlinked Passenger Trips': 686796, 'Passenger Paid Fares': 237591, 'Average Fare': 0.34594115283140847, 'Average Passengers': 1.3170038194935636}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60102, 'Mode': 'MB', 'UACE Code': '78553', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4779.233884468027, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 78591.8461001409, 'Unlinked Passenger Trips': 159073, 'Passenger Paid Fares': 63119, 'Average Fare': 0.3967926675174291, 'Average Passengers': 3.397639398668936}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 70044, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5582.372038532706, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5582.372038532706, 'Unlinked Passenger Trips': 257534, 'Passenger Paid Fares': 3388482, 'Average Fare': 13.157416108164359, 'Average Passengers': 0.8324121460252474}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 70045, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 98.97670796232808, 'Diesel (%)': 1.0232920376719201, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4904.3232503482495, 'Diesel (Wh/pkm)': 67638.37770755179, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5546.275834517581, 'Unlinked Passenger Trips': 34358, 'Passenger Paid Fares': 37338, 'Average Fare': 1.0867338028988882, 'Average Passengers': 0.5888796973761355}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 80009, 'Mode': 'DR', 'UACE Code': '57736', 'Gasoline (%)': 96.60881355227818, 'Diesel (%)': 3.3911864477218057, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2139.992548930671, 'Diesel (Wh/pkm)': 42702.512110869146, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3515.543215169635, 'Unlinked Passenger Trips': 30470, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.553876181565958}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 35.98062749034095, 'Diesel (%)': 64.01937250965905, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3369.950449723907, 'Diesel (Wh/pkm)': 6248.496114454645, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5212.77732168852, 'Unlinked Passenger Trips': 72999, 'Passenger Paid Fares': 27551, 'Average Fare': 0.3774161289880683, 'Average Passengers': 1.2200988653752582}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80107, 'Mode': 'MB', 'UACE Code': '57736', 'Gasoline (%)': None, 'Diesel (%)': 67.628789074268, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 32.371210925731994, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4748.573465396116, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1641.035294478154, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3742.6257294906286, 'Unlinked Passenger Trips': 35034, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.9877510302871719}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90023, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': 35.68643146502534, 'Diesel (%)': 0.011078288624481267, 'LPG (%)': None, 'CNG (%)': 60.17498846944118, 'Hydrogen (%)': None, 'Electric (%)': 4.127501776909005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 850.0687599477826, 'Diesel (Wh/pkm)': 8429.715396227202, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 183.71810870222518, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 140.47964092656233, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 420.64372402945133, 'Unlinked Passenger Trips': 14099010, 'Passenger Paid Fares': 54110, 'Average Fare': 0.003837858119116165, 'Average Passengers': 8.24288860492466}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': 10.10940312976042, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 379807.47686567326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105, 'Passenger Paid Fares': 140971, 'Average Fare': 0.7534325646027632, 'Average Passengers': 3.318988156348108}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5087.690211303974, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.690211303974, 'Unlinked Passenger Trips': 218615, 'Passenger Paid Fares': 34915, 'Average Fare': 0.15970999245248496, 'Average Passengers': 1.0987483322800367}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 72.56393354375568, 'LPG (%)': None, 'CNG (%)': 27.43606645624432, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9757.12747034666, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4220.59365997757, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8238.120374761358, 'Unlinked Passenger Trips': 186361, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.2798524729324299}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90142, 'Mode': 'MB', 'UACE Code': '22420', 'Gasoline (%)': 1.0020011516599296, 'Diesel (%)': 7.362356683903558, 'LPG (%)': None, 'CNG (%)': 91.63564216443653, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3560.9552733911814, 'Diesel (Wh/pkm)': 5631.33986686518, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1202.1811788503064, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1551.9065831504204, 'Unlinked Passenger Trips': 350421, 'Passenger Paid Fares': 43140, 'Average Fare': 0.12310906024467712, 'Average Passengers': 1.237298354484361}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50010, 'Mode': 'DR', 'UACE Code': '00766', 'Gasoline (%)': None, 'Diesel (%)': 91.38551243399489, 'LPG (%)': None, 'CNG (%)': 2.3272681431924633, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4450.281412960737, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 23783.646107353172, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5624.57769537496, 'Unlinked Passenger Trips': 174873, 'Passenger Paid Fares': 370951, 'Average Fare': 2.121259428270802, 'Average Passengers': 0.6031748878066041}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 50016, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 17.287079233708226, 'Diesel (%)': 82.58225071215486, 'LPG (%)': None, 'CNG (%)': 0.13067005413692154, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3163.9303575234208, 'Diesel (Wh/pkm)': 2584.7370276666015, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 16783.466186902002, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2703.4161245944306, 'Unlinked Passenger Trips': 242445, 'Passenger Paid Fares': 648080, 'Average Fare': 2.6731011157169666, 'Average Passengers': 0.7151736541481271}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 3, 'Mode': 'MB', 'UACE Code': '80389', 'Gasoline (%)': 1.0532454713080446, 'Diesel (%)': 9.730140186482213, 'LPG (%)': None, 'CNG (%)': 89.11796074570613, 'Hydrogen (%)': None, 'Electric (%)': 0.09865359650363488, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.9674456541436, 'Diesel (Wh/pkm)': 1561.7612605413683, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 383.10385990260716, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 4851.62612047551, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 510.2636587570521, 'Unlinked Passenger Trips': 4363241, 'Passenger Paid Fares': 4423976, 'Average Fare': 1.0139196986826995, 'Average Passengers': 3.4822366897472006}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 18, 'Mode': 'MB', 'UACE Code': '44479', 'Gasoline (%)': None, 'Diesel (%)': 99.99857792162375, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.001422078376253497, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2380.0486369924834, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 18700.51248905617, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2380.280726779828, 'Unlinked Passenger Trips': 1415305, 'Passenger Paid Fares': 104354, 'Average Fare': 0.07373251701929973, 'Average Passengers': 1.775975172733643}\n", + "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 10003, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8027450704530215, 'Other (%)': 71.26103872210558, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13176.098254474178, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1366.781140888867, 'Unlinked Passenger Trips': 4780593, 'Passenger Paid Fares': 3378001, 'Average Fare': 0.7066071092017245, 'Average Passengers': 6.4691378750100945}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30019, 'Mode': 'MB', 'UACE Code': '69076', 'Gasoline (%)': None, 'Diesel (%)': 99.99953751247902, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.0004624875209711363, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1349.627002469076, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 104391.17727419212, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1350.1035567804977, 'Unlinked Passenger Trips': 60307213, 'Passenger Paid Fares': 73881951, 'Average Fare': 1.225093107850963, 'Average Passengers': 4.263126360374547}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3137.866299953118, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3137.866299953118, 'Unlinked Passenger Trips': 1460121, 'Passenger Paid Fares': 1596223, 'Average Fare': 1.0932128227729072, 'Average Passengers': 3.7645912677316073}\n", + "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 633.1390723711863, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 633.1390723711863, 'Unlinked Passenger Trips': 1615560, 'Passenger Paid Fares': 5290300, 'Average Fare': 3.274592091906212, 'Average Passengers': 8.620171865478689}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1527.6327542619572, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1527.6327542619572, 'Unlinked Passenger Trips': 545259, 'Passenger Paid Fares': 681652, 'Average Fare': 1.25014350978159, 'Average Passengers': 4.884636541412355}\n", + "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 397.6404700713487, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 397.6404700713487, 'Unlinked Passenger Trips': 2420125, 'Passenger Paid Fares': 2962423, 'Average Fare': 1.2240785083415113, 'Average Passengers': 12.018981804285445}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2113.6261094781307, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2113.6261094781307, 'Unlinked Passenger Trips': 465123, 'Passenger Paid Fares': 793335, 'Average Fare': 1.7056456034210306, 'Average Passengers': 5.351211652925543}\n", + "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 50213, 'Mode': 'SR', 'UACE Code': '23824', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 65287.92778331304, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 65287.92778331304, 'Unlinked Passenger Trips': 6568, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 5.487967914438502}\n", + "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 60006, 'Mode': 'SR', 'UACE Code': '27253', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 13901.566021869818, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13901.566021869818, 'Unlinked Passenger Trips': 4119, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 3.15088177661659}\n", + "Removing MG outlier: expected (np.float64(-3030.287463347414), np.float64(7884.636790729673)), got {'NTD ID': 90003, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 8358.967075342556, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8358.967075342556, 'Unlinked Passenger Trips': 112981, 'Passenger Paid Fares': 652596, 'Average Fare': 5.776157052955806, 'Average Passengers': 1.6671616304105723}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 90015, 'Mode': 'LR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2782.897279285191, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2782.897279285191, 'Unlinked Passenger Trips': 3595952, 'Passenger Paid Fares': 893808, 'Average Fare': 0.24855949133915026, 'Average Passengers': 5.708441736272764}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40037, 'Mode': 'DR', 'UACE Code': '56602', 'Gasoline (%)': 87.65513353886509, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 12.344866461134911, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3985.825243925728, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 10820.233248749928, 'All Fuels (Wh/pkm)': 4829.52378553039, 'Unlinked Passenger Trips': 696832, 'Passenger Paid Fares': 2319938, 'Average Fare': 3.3292644425055107, 'Average Passengers': 0.7976598052630901}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90008, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.7210945016236, 'Hydrogen (%)': None, 'Electric (%)': 0.1366067747149745, 'Other (%)': 0.14229872366143176, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 442.74386368068724, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2.8225147393965107, 'Other (Wh/pkm)': 17006.729881829724, 'All Fuels (Wh/pkm)': 465.71324200590004, 'Unlinked Passenger Trips': 5027105, 'Passenger Paid Fares': 1858717, 'Average Fare': 0.3697390446390119, 'Average Passengers': 4.027097723981112}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1361318043431337, 'Diesel (%)': 18.761870813285633, 'LPG (%)': None, 'CNG (%)': 78.25953294967735, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.8424644326938813, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1863.5552865262869, 'Diesel (Wh/pkm)': 2952.1724002582705, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 819.6249378571132, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 10161.535613287371, 'All Fuels (Wh/pkm)': 1320.7327407524645, 'Unlinked Passenger Trips': 5537099, 'Passenger Paid Fares': 688482, 'Average Fare': 0.12433983932741675, 'Average Passengers': 1.650622560849731}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90211, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 14.931764086739149, 'Hydrogen (%)': None, 'Electric (%)': 78.43781023120074, 'Other (%)': 6.630425682060115, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1617.0172703813037, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1832.3977611138912, 'Other (Wh/pkm)': 19156.993906893305, 'All Fuels (Wh/pkm)': 3332.321343644299, 'Unlinked Passenger Trips': 68573, 'Passenger Paid Fares': 53022, 'Average Fare': 0.7732197803800329, 'Average Passengers': 0.9443936985456358}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 7, 'Mode': 'VP', 'UACE Code': '28117', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 836.3380482652224, 'Unlinked Passenger Trips': 2726, 'Passenger Paid Fares': 34916, 'Average Fare': 12.808510638297872, 'Average Passengers': 2.5432620106166266}\n", + "Removing YR outlier: expected (np.float64(-67.48704915204291), np.float64(1862.028552893858)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2757.9456068279883, 'Unlinked Passenger Trips': 84742, 'Passenger Paid Fares': 44018, 'Average Fare': 0.5194354629345543, 'Average Passengers': 8.973251383892421}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10007, 'Mode': 'DR', 'UACE Code': '69778', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8595.261769753632, 'Unlinked Passenger Trips': 15044, 'Passenger Paid Fares': 46721, 'Average Fare': 3.105623504387131, 'Average Passengers': 0.36655024263592245}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 10087, 'Mode': 'DR', 'UACE Code': '61165', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192395.4532637997, 'Unlinked Passenger Trips': 9969, 'Passenger Paid Fares': 24693, 'Average Fare': 2.4769786337646704, 'Average Passengers': 0.6614595476801121}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21565.187394484765, 'Unlinked Passenger Trips': 15651, 'Passenger Paid Fares': 18449, 'Average Fare': 1.1787745192000512, 'Average Passengers': 0.9205409359852487}\n", + "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7305.596795588676, 'Unlinked Passenger Trips': 70611, 'Passenger Paid Fares': 390284, 'Average Fare': 5.527240798175922, 'Average Passengers': 8.310151233508911}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20006, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5290.150238485294, 'Unlinked Passenger Trips': 74563, 'Passenger Paid Fares': 136669, 'Average Fare': 1.832933224253316, 'Average Passengers': 1.118209357700635}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11436.274145783691, 'Unlinked Passenger Trips': 110219, 'Passenger Paid Fares': 206388, 'Average Fare': 1.872526515392083, 'Average Passengers': 0.5500782412444779}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20071, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4396.055451781632, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7996.428137047578, 'Unlinked Passenger Trips': 52774, 'Passenger Paid Fares': 63846, 'Average Fare': 1.2098002804411263, 'Average Passengers': 0.6472470673499519}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12318.755341071888, 'Unlinked Passenger Trips': 90178, 'Passenger Paid Fares': 145578, 'Average Fare': 1.6143405265142274, 'Average Passengers': 0.47711128400731223}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 20178, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16668.869859010247, 'Unlinked Passenger Trips': 5594, 'Passenger Paid Fares': 16314, 'Average Fare': 2.9163389345727566, 'Average Passengers': 0.521684809144958}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 20178, 'Mode': 'MB', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6685.307664862401, 'Unlinked Passenger Trips': 214136, 'Passenger Paid Fares': 133703, 'Average Fare': 0.6243835693204319, 'Average Passengers': 0.9645925436271238}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30011, 'Mode': 'DR', 'UACE Code': '01792', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 42.66220180331024, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11261.24119452563, 'Unlinked Passenger Trips': 5321, 'Passenger Paid Fares': 18003, 'Average Fare': 3.3833865814696487, 'Average Passengers': 0.66268316118184}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3137.866299953118, 'Unlinked Passenger Trips': 1460121, 'Passenger Paid Fares': 1596223, 'Average Fare': 1.0932128227729072, 'Average Passengers': 3.7645912677316073}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 30034, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6846.071487656069, 'Unlinked Passenger Trips': 434474, 'Passenger Paid Fares': 4363800, 'Average Fare': 10.043869138314376, 'Average Passengers': 6.584395108673719}\n", + "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 30034, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 633.1390723711863, 'Unlinked Passenger Trips': 1615560, 'Passenger Paid Fares': 5290300, 'Average Fare': 3.274592091906212, 'Average Passengers': 8.620171865478689}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30044, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 69.49635645843104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3512.3033321054045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7939.59948049839, 'Unlinked Passenger Trips': 113076, 'Passenger Paid Fares': 185430, 'Average Fare': 1.6398705295553433, 'Average Passengers': 1.0331425098428275}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30048, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.9880951414209498, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3583.6203895748868, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5370.731774424588, 'Unlinked Passenger Trips': 269010, 'Passenger Paid Fares': 207555, 'Average Fare': 0.7715512434481989, 'Average Passengers': 0.9960158304518297}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 30070, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7422.582204170158, 'Unlinked Passenger Trips': 1248, 'Passenger Paid Fares': 43, 'Average Fare': 0.03445512820512821, 'Average Passengers': 0.23231830534457532}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30070, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9487.029795229942, 'Unlinked Passenger Trips': 414287, 'Passenger Paid Fares': 1209, 'Average Fare': 0.00291826680537888, 'Average Passengers': 2.4814616668366085}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1527.6327542619572, 'Unlinked Passenger Trips': 545259, 'Passenger Paid Fares': 681652, 'Average Fare': 1.25014350978159, 'Average Passengers': 4.884636541412355}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30091, 'Mode': 'MB', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 1.1765627639202343, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 804.4877882197934, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4941.426018377204, 'Unlinked Passenger Trips': 786997, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.3266675610039989}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.083928882691302, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3371.3874973571164, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5953.88186418604, 'Unlinked Passenger Trips': 1171986, 'Passenger Paid Fares': 1346, 'Average Fare': 0.0011484778828416038, 'Average Passengers': 1.0109770693060582}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40006, 'Mode': 'VP', 'UACE Code': '95833', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1164.2454797388434, 'Unlinked Passenger Trips': 1106, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.2738645262333594}\n", + "Removing CB outlier: expected (np.float64(-2297.300361016156), np.float64(4827.431753553068)), got {'NTD ID': 40040, 'Mode': 'CB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5067.874772314812, 'Unlinked Passenger Trips': 1734, 'Passenger Paid Fares': 4536, 'Average Fare': 2.615916955017301, 'Average Passengers': 0.2828135763805764}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40044, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': None, 'Diesel (%)': 58.10925936885394, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3484.492057801564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4501.033407605474, 'Unlinked Passenger Trips': 308600, 'Passenger Paid Fares': 314393, 'Average Fare': 1.0187718729747246, 'Average Passengers': 1.0800815054536737}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8068.285769659408, 'Unlinked Passenger Trips': 7467, 'Passenger Paid Fares': 20256, 'Average Fare': 2.7127360385697066, 'Average Passengers': 0.4798360876979891}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 40063, 'Mode': 'VP', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2553.5170614583517, 'Unlinked Passenger Trips': 30052, 'Passenger Paid Fares': 178099, 'Average Fare': 5.926360974311194, 'Average Passengers': 3.5661533637361367}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7471.373991802114, 'Unlinked Passenger Trips': 15887, 'Passenger Paid Fares': 23723, 'Average Fare': 1.4932334613205767, 'Average Passengers': 0.37544751667922616}\n", + "Removing CR outlier: expected (np.float64(-2278.966951008305), np.float64(5232.109815459571)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6166.262066005301, 'Unlinked Passenger Trips': 34859, 'Passenger Paid Fares': 98044, 'Average Fare': 2.8125878539258156, 'Average Passengers': 9.122087177667376}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5287.577858014632, 'Unlinked Passenger Trips': 63422, 'Passenger Paid Fares': 76761, 'Average Fare': 1.2103213395982466, 'Average Passengers': 0.847726503194801}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 13.439925459156226, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17454.672412432035, 'Unlinked Passenger Trips': 83982, 'Passenger Paid Fares': 143632, 'Average Fare': 1.7102712486008906, 'Average Passengers': 0.8731092944240355}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13770.663069139999, 'Unlinked Passenger Trips': 86876, 'Passenger Paid Fares': 121601, 'Average Fare': 1.399707629264699, 'Average Passengers': 0.8473862236529575}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 41199, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 34.5850508810204, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4569.2552483880345, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9325.759642844307, 'Unlinked Passenger Trips': 59456, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6408904790197668}\n", + "Removing HR outlier: expected (np.float64(-123.19809845703946), np.float64(394.7248658585943)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 397.6404700713487, 'Unlinked Passenger Trips': 2420125, 'Passenger Paid Fares': 2962423, 'Average Fare': 1.2240785083415113, 'Average Passengers': 12.018981804285445}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2113.6261094781307, 'Unlinked Passenger Trips': 465123, 'Passenger Paid Fares': 793335, 'Average Fare': 1.7056456034210306, 'Average Passengers': 5.351211652925543}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9815.785139070314, 'Unlinked Passenger Trips': 424632, 'Passenger Paid Fares': 355651, 'Average Fare': 0.8375511030727784, 'Average Passengers': 0.602376242528504}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12051.361095691867, 'Unlinked Passenger Trips': 118135, 'Passenger Paid Fares': 69445, 'Average Fare': 0.5878444152875947, 'Average Passengers': 0.3196148359486448}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50166, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4869.798806338674, 'Unlinked Passenger Trips': 9437, 'Passenger Paid Fares': 43770, 'Average Fare': 4.63812652325951, 'Average Passengers': 0.5503136385831799}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50176, 'Mode': 'MB', 'UACE Code': '22960', 'Gasoline (%)': 15.249880882270247, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3554.883268558839, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5519.786628359914, 'Unlinked Passenger Trips': 290718, 'Passenger Paid Fares': 6120, 'Average Fare': 0.021051328091139868, 'Average Passengers': 1.0064300647672488}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50184, 'Mode': 'MB', 'UACE Code': '39430', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17248.059467567862, 'Unlinked Passenger Trips': 77841, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.5314408408858262}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50209, 'Mode': 'MB', 'UACE Code': '41212', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13876.975306563156, 'Unlinked Passenger Trips': 21864, 'Passenger Paid Fares': 21161, 'Average Fare': 0.9678466886205634, 'Average Passengers': 0.8598234286467256}\n", + "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 50213, 'Mode': 'SR', 'UACE Code': '23824', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 65287.92778331304, 'Unlinked Passenger Trips': 6568, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 5.487967914438502}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50515, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 12.44866471103661, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4083.2033512568837, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5269.746964428917, 'Unlinked Passenger Trips': 255704, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.0188249805141063}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 50522, 'Mode': 'MB', 'UACE Code': '58357', 'Gasoline (%)': 1.439848297759746, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1148.0497435432371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7642.320097841982, 'Unlinked Passenger Trips': 116814, 'Passenger Paid Fares': 58811, 'Average Fare': 0.503458489564607, 'Average Passengers': 1.29229108960754}\n", + "Removing SR outlier: expected (np.float64(-3260.444509932963), np.float64(7297.290726787003)), got {'NTD ID': 60006, 'Mode': 'SR', 'UACE Code': '27253', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13901.566021869818, 'Unlinked Passenger Trips': 4119, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 3.15088177661659}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60007, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1168.9400641985358, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7589.831864738881, 'Unlinked Passenger Trips': 213978, 'Passenger Paid Fares': 601019, 'Average Fare': 2.8087887539840546, 'Average Passengers': 0.7379554187391174}\n", + "Removing RB outlier: expected (np.float64(-435.82298110241015), np.float64(2317.909691752349)), got {'NTD ID': 60008, 'Mode': 'RB', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4372.042646800286, 'Unlinked Passenger Trips': 231412, 'Passenger Paid Fares': 25023, 'Average Fare': 0.10813181684614454, 'Average Passengers': 1.6540949427991019}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 60056, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 71.71720136846656, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1445.704394741245, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15278.196294544858, 'Unlinked Passenger Trips': 580173, 'Passenger Paid Fares': 1393166, 'Average Fare': 2.4012940967607936, 'Average Passengers': 0.7029619170722335}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60088, 'Mode': 'MB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6574.292863743138, 'Unlinked Passenger Trips': 1001179, 'Passenger Paid Fares': 1584432, 'Average Fare': 1.58256615450384, 'Average Passengers': 3.3156425819900415}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60102, 'Mode': 'MB', 'UACE Code': '78553', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 78591.8461001409, 'Unlinked Passenger Trips': 159073, 'Passenger Paid Fares': 63119, 'Average Fare': 0.3967926675174291, 'Average Passengers': 3.397639398668936}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8363.251851630801, 'Unlinked Passenger Trips': 30740, 'Passenger Paid Fares': 25584, 'Average Fare': 0.8322706571242681, 'Average Passengers': 0.9658468281991964}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 70044, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5582.372038532706, 'Unlinked Passenger Trips': 257534, 'Passenger Paid Fares': 3388482, 'Average Fare': 13.157416108164359, 'Average Passengers': 0.8324121460252474}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 35.98062749034095, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3369.950449723907, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5212.77732168852, 'Unlinked Passenger Trips': 72999, 'Passenger Paid Fares': 27551, 'Average Fare': 0.3774161289880683, 'Average Passengers': 1.2200988653752582}\n", + "Removing MG outlier: expected (np.float64(-3030.287463347414), np.float64(7884.636790729673)), got {'NTD ID': 90003, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8358.967075342556, 'Unlinked Passenger Trips': 112981, 'Passenger Paid Fares': 652596, 'Average Fare': 5.776157052955806, 'Average Passengers': 1.6671616304105723}\n", + "Removing LR outlier: expected (np.float64(-166.1677190877009), np.float64(845.3462626264303)), got {'NTD ID': 90015, 'Mode': 'LR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2782.897279285191, 'Unlinked Passenger Trips': 3595952, 'Passenger Paid Fares': 893808, 'Average Fare': 0.24855949133915026, 'Average Passengers': 5.708441736272764}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90016, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14589.398372779393, 'Unlinked Passenger Trips': 10520, 'Passenger Paid Fares': 59645, 'Average Fare': 5.66967680608365, 'Average Passengers': 0.7345820301807233}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 29.043653430671146, 'Hydrogen (%)': None, 'Electric (%)': 4.601058061889097, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 459.00266033894036, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 489.5896626018393, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7613.143615398616, 'Unlinked Passenger Trips': 305377, 'Passenger Paid Fares': 992878, 'Average Fare': 3.2513188616038535, 'Average Passengers': 0.6619222832013457}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': None, 'Diesel (%)': 35.93578123437486, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6367.668942454718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7576.123355501287, 'Unlinked Passenger Trips': 20370, 'Passenger Paid Fares': 66244, 'Average Fare': 3.2520373097692685, 'Average Passengers': 0.582710090909535}\n", + "Removing VP outlier: expected (np.float64(3.8456744656758985), np.float64(644.4556359995764)), got {'NTD ID': 90079, 'Mode': 'VP', 'UACE Code': '41347', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 670.4904678381371, 'Unlinked Passenger Trips': 16028, 'Passenger Paid Fares': 120280, 'Average Fare': 7.504367357125031, 'Average Passengers': 4.853593453820084}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90088, 'Mode': 'MB', 'UACE Code': '61057', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52961.33634891168, 'Unlinked Passenger Trips': 187105, 'Passenger Paid Fares': 140971, 'Average Fare': 0.7534325646027632, 'Average Passengers': 3.318988156348108}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.690211303974, 'Unlinked Passenger Trips': 218615, 'Passenger Paid Fares': 34915, 'Average Fare': 0.15970999245248496, 'Average Passengers': 1.0987483322800367}\n", + "Removing MB outlier: expected (np.float64(-991.0263961352978), np.float64(4404.14340931516)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 27.43606645624432, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4220.59365997757, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8238.120374761358, 'Unlinked Passenger Trips': 186361, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.2798524729324299}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 90136, 'Mode': 'DR', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12585.825606792961, 'Unlinked Passenger Trips': 274826, 'Passenger Paid Fares': 920332, 'Average Fare': 3.3487806830503666, 'Average Passengers': 1.3881505087330748}\n", + "Removing DR outlier: expected (np.float64(-835.2645011848485), np.float64(7387.944068018294)), got {'NTD ID': 99424, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.11424776664, 'Unlinked Passenger Trips': 29368, 'Passenger Paid Fares': 3907, 'Average Fare': 0.1330359575047671, 'Average Passengers': 0.5065091045440697}\n", "DR desc: count 849.000000\n", "mean 3046.399224\n", "std 1531.609658\n", @@ -13226,7 +13181,34 @@ "50% 5307.275708\n", "75% 8424.619697\n", "max 9463.734360\n", - "dtype: float64\n" + "dtype: float64\n", + "Gasoline desc: count 537.000000\n", + "mean 2442.371566\n", + "std 1642.586765\n", + "min 10.700765\n", + "25% 965.247644\n", + "50% 2346.731458\n", + "75% 3722.012414\n", + "max 6855.153261\n", + "Name: Gasoline (Wh/pkm), dtype: float64\n", + "Diesel desc: count 522.000000\n", + "mean 2306.055026\n", + "std 2215.766114\n", + "min 6.319999\n", + "25% 1199.890212\n", + "50% 1851.760920\n", + "75% 2755.412081\n", + "max 22076.804346\n", + "Name: Diesel (Wh/pkm), dtype: float64\n", + "LPG desc: count 0.0\n", + "mean NaN\n", + "std NaN\n", + "min NaN\n", + "25% NaN\n", + "50% NaN\n", + "75% NaN\n", + "max NaN\n", + "Name: LPG (Wh/pkm), dtype: float64\n" ] }, { @@ -13266,6 +13248,7 @@ " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.backends.backend_pdf:Assigning font /F1 = '/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'\n", "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", @@ -13298,53 +13281,13 @@ " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n" + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Gasoline desc: count 537.000000\n", - "mean 2442.371566\n", - "std 1642.586765\n", - "min 10.700765\n", - "25% 965.247644\n", - "50% 2346.731458\n", - "75% 3722.012414\n", - "max 6855.153261\n", - "Name: Gasoline (Wh/pkm), dtype: float64\n", - "Diesel desc: count 522.000000\n", - "mean 2306.055026\n", - "std 2215.766114\n", - "min 6.319999\n", - "25% 1199.890212\n", - "50% 1851.760920\n", - "75% 2755.412081\n", - "max 22076.804346\n", - "Name: Diesel (Wh/pkm), dtype: float64\n", - "LPG desc: count 0.0\n", - "mean NaN\n", - "std NaN\n", - "min NaN\n", - "25% NaN\n", - "50% NaN\n", - "75% NaN\n", - "max NaN\n", - "Name: LPG (Wh/pkm), dtype: float64\n", "CNG desc: count 193.000000\n", "mean 773.164824\n", "std 692.853759\n", @@ -13396,6 +13339,7 @@ "name": "stderr", "output_type": "stream", "text": [ + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", @@ -13455,190 +13399,20 @@ " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 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6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", + " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", + "DEBUG:matplotlib.ticker:vmin 0.7758790062305313 vmax 206.21772043727688\n", + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.backends.backend_pdf:Embedding font /Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.\n", + "DEBUG:matplotlib.backends.backend_pdf:Writing TrueType font.\n", "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8162601606323721 vmax 71.05577706385463\n", @@ -13779,28 +13553,18 @@ "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" ] }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "name": "stdout", "output_type": "stream", "text": [ - "Creating ../src/emcommon/resources/ntd2020_intensities.json\n" + "Saved figure as plots/distribution_of_wh_pkm_after_removing_outliers_2021_3.pdf\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -13808,18 +13572,84 @@ "name": "stdout", "output_type": "stream", "text": [ - "dropping 12 rows with missing UACE Code\n" + "dropping 12 rows with missing UACE Code\n", + "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n", + "Index([ 'Agency',\n", + " 'City',\n", + " 'State',\n", + " 'Legacy NTD ID',\n", + " 'NTD ID',\n", + " 'Organization Type',\n", + " 'NTD Reporter Type',\n", + " 'Primary UZA Population',\n", + " 'Agency VOMS',\n", + " 'Mode',\n", + " 'Type of Service',\n", + " 'Mode VOMS',\n", + " 'Mode VOMS Questionable',\n", + " 'Max Trains in Operation',\n", + " 'Max Trains in Operation Questionable',\n", + " 'Average Speed (mi/hr)',\n", + " 'Average Speed (mi/hr) Questionable',\n", + " 'Average Passenger Trip Length (mi)',\n", + " 'Average Passenger Trip Length (mi) Questionable',\n", + " 'Passengers per Hour',\n", + " 'Passengers per Hour Questionable',\n", + " 'Scheduled Vehicle Revenue Miles',\n", + " 'Scheduled Vehicle Revenue Miles Questionable',\n", + " 'Vehicle Miles',\n", + " 'Vehicle Miles Questionable',\n", + " 'Vehicle Revenue Miles',\n", + " 'Vehicle Revenue Miles Questionable',\n", + " 'Deadhead Miles',\n", + " 'Deadhead Miles Questionable',\n", + " 'Vehicle Hours',\n", + " 'Vehicle Hours Questionable',\n", + " 'Vehicle \\nRevenue \\nHours',\n", + " 'Vehicle Revenue Hours Questionable',\n", + " 'Deadhead Hours',\n", + " 'Deadhead Hours Questionable',\n", + " 'Train Miles',\n", + " 'Train Miles Questionable',\n", + " 'Train \\nRevenue\\nMiles',\n", + " 'Train Revenue Miles Questionable',\n", + " 'Train Hours',\n", + " 'Train Hours Questionable',\n", + " 'Train \\nRevenue \\nHours',\n", + " 'Train Revenue Hours Questionable',\n", + " 'Unlinked Passenger Trips',\n", + " 'Unlinked Passenger Trips Questionable',\n", + " 'Passenger Miles',\n", + " 'Passenger Miles Questionable',\n", + " 'Directional Route Miles',\n", + " 'Directional Route Miles Questionable',\n", + " 'Any data questionable',\n", + " 'Unnamed: 50',\n", + " 'Unnamed: 51',\n", + " 'Unnamed: 52',\n", + " 'Unnamed: 53',\n", + " 'Unnamed: 54',\n", + " 'Unnamed: 55',\n", + " 'Unnamed: 56',\n", + " 'Unnamed: 57',\n", + " 'Unnamed: 58',\n", + " 'Unnamed: 59',\n", + " 'Unnamed: 60',\n", + " 'Unnamed: 61',\n", + " 'Unnamed: 62',\n", + " 1],\n", + " dtype='object')\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/2575560671.py:29: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/146710289.py:35: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -13828,204 +13658,204 @@ "output_type": "stream", "text": [ "Removing outliers\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 5, 'Mode': 'DR', 'UACE Code': '80389', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17014.66512756386, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17645.760847043326, 'Unlinked Passenger Trips': 53400, 'Passenger Paid Fares': 70111, 'Average Fare': 1.312940074906367}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 19, 'Mode': 'DR', 'UACE Code': '65242', 'Gasoline (%)': 1.6841629232701998, 'Diesel (%)': 70.81388537750883, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 27.50195169922097, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21512.376065437176, 'Diesel (Wh/pkm)': 2995.6098083579786, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3469.9506960381723, 'Unlinked Passenger Trips': 143104, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 10001, 'Mode': 'VP', 'UACE Code': '72505', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1526.0946678745154, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1526.0946678745154, 'Unlinked Passenger Trips': 62321, 'Passenger Paid Fares': 376305, 'Average Fare': 6.038173328412574}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10040, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8301.513151390058, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8301.513151390058, 'Unlinked Passenger Trips': 4617, 'Passenger Paid Fares': 17036, 'Average Fare': 3.689841888672298}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10064, 'Mode': 'MB', 'UACE Code': '72505', 'Gasoline (%)': 8.05518025117772, 'Diesel (%)': 91.94481974882227, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5566.951840175719, 'Diesel (Wh/pkm)': 1968.9991388073734, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2258.8207142547117, 'Unlinked Passenger Trips': 543996, 'Passenger Paid Fares': 566840, 'Average Fare': 1.0419929558305576}\n", - "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10066, 'Mode': 'CB', 'UACE Code': '11755', 'Gasoline (%)': 0.15278069177396592, 'Diesel (%)': 99.84721930822604, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 28641.778381830627, 'Diesel (Wh/pkm)': 207.85478239903674, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 251.2963275727293, 'Unlinked Passenger Trips': 173839, 'Passenger Paid Fares': 337739, 'Average Fare': 1.9428264083433522}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7876.2160305723855, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7876.2160305723855, 'Unlinked Passenger Trips': 181633, 'Passenger Paid Fares': 416653, 'Average Fare': 2.2939278655310433}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 9.667361741611709, 'Diesel (%)': 90.33263825838829, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7690.087593242858, 'Diesel (Wh/pkm)': 3488.954697660515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051, 'Passenger Paid Fares': 275561, 'Average Fare': 0.8859029548209136}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30083, 'Mode': 'DR', 'UACE Code': '90892', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 33524.75965809171, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33524.75965809171, 'Unlinked Passenger Trips': 336232, 'Passenger Paid Fares': 643494, 'Average Fare': 1.9138392538485332}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': 48.300788356579744, 'Diesel (%)': 51.69921164342026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10302.642422319175, 'Diesel (Wh/pkm)': 14330.88469596972, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724, 'Passenger Paid Fares': 4072, 'Average Fare': 0.16469826888852937}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40002, 'Mode': 'DR', 'UACE Code': '45640', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11141.492519300684, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11141.492519300684, 'Unlinked Passenger Trips': 60941, 'Passenger Paid Fares': 124862, 'Average Fare': 2.0488997555012225}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40028, 'Mode': 'DR', 'UACE Code': '13510', 'Gasoline (%)': 4.485835837883961, 'Diesel (%)': 24.57013423785122, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 70.94402992426481, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16792.355027208087, 'Diesel (Wh/pkm)': 2446.1175705145147, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4909.279972329542, 'Unlinked Passenger Trips': 111547, 'Passenger Paid Fares': 422525, 'Average Fare': 3.7878652048015633}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40031, 'Mode': 'MB', 'UACE Code': '46828', 'Gasoline (%)': 7.119889341261063, 'Diesel (%)': 92.88011065873893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7312.692659825837, 'Diesel (Wh/pkm)': 2027.9206637279478, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2404.190581788071, 'Unlinked Passenger Trips': 774569, 'Passenger Paid Fares': 401580, 'Average Fare': 0.5184560704081883}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1716.5528488112682, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1716.5528488112682, 'Unlinked Passenger Trips': 14155, 'Passenger Paid Fares': 79518, 'Average Fare': 5.617661603673613}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40036, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 23.036374275440238, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 76.96362572455978, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11633.224840592811, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1078.8394181069327, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3510.187146503284, 'Unlinked Passenger Trips': 109362, 'Passenger Paid Fares': 230544, 'Average Fare': 2.1080814176770724}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40051, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8453.959763227964, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8453.959763227964, 'Unlinked Passenger Trips': 57602, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9420.739521948457, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9420.739521948457, 'Unlinked Passenger Trips': 7957, 'Passenger Paid Fares': 21195, 'Average Fare': 2.663692346361694}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': 26.55595362626761, 'Diesel (%)': 73.44404637373239, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5619.170122733872, 'Diesel (Wh/pkm)': 3459.193412245356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940, 'Passenger Paid Fares': 56188, 'Average Fare': 0.7117810995692931}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9207.553783873936, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9207.553783873936, 'Unlinked Passenger Trips': 21120, 'Passenger Paid Fares': 35870, 'Average Fare': 1.6983901515151516}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40097, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': 1.4865332487456024, 'Diesel (%)': 98.5134667512544, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9130.13835379776, 'Diesel (Wh/pkm)': 2129.0227596840637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2233.0966707736775, 'Unlinked Passenger Trips': 68212, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': 99.99971822334182, 'Diesel (%)': 0.00028177665818518926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3775.008711431088, 'Diesel (Wh/pkm)': 21727843.611543547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476, 'Passenger Paid Fares': 59579, 'Average Fare': 1.0188624392913332}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 68.12337098175499, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 31.876629018245005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11710.876490456216, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 494.93159861953836, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8135.611346394638, 'Unlinked Passenger Trips': 9196, 'Passenger Paid Fares': 10518, 'Average Fare': 1.1437581557198782}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 91.0513460928121, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 8.9486539071879, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9021.719082222677, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8422.659301298758, 'Unlinked Passenger Trips': 91319, 'Passenger Paid Fares': 99294, 'Average Fare': 1.0873312235131791}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50022, 'Mode': 'MB', 'UACE Code': '87868', 'Gasoline (%)': 5.3346022573902905e-05, 'Diesel (%)': 99.99994665397743, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15910420.255291028, 'Diesel (Wh/pkm)': 2042.8735808036647, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2051.3600673928536, 'Unlinked Passenger Trips': 1001383, 'Passenger Paid Fares': 1733052, 'Average Fare': 1.7306584992954743}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50031, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.1381564698664949, 'Diesel (%)': 17.031023725926044, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 82.83081980420747, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12274.439214557475, 'Diesel (Wh/pkm)': 4573.593999730587, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4799.300088645927, 'Unlinked Passenger Trips': 346930, 'Passenger Paid Fares': 698989, 'Average Fare': 2.0147839621825727}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': 63.9206385846296, 'Diesel (%)': 36.07936141537041, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8946.323329473327, 'Diesel (Wh/pkm)': 8456.803151258255, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921, 'Passenger Paid Fares': 203815, 'Average Fare': 5.52030010021397}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 50040, 'Mode': 'VP', 'UACE Code': '02602', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1074.4606930089446, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1074.4606930089446, 'Unlinked Passenger Trips': 193599, 'Passenger Paid Fares': 965136, 'Average Fare': 4.985232361737405}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50045, 'Mode': 'DR', 'UACE Code': '16264', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13126.56335518287, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13126.56335518287, 'Unlinked Passenger Trips': 12554, 'Passenger Paid Fares': 34987, 'Average Fare': 2.786920503425203}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 17.221387588102733, 'Diesel (%)': 82.77861241189726, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 38554.79298234826, 'Diesel (Wh/pkm)': 6969.72218622415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803, 'Passenger Paid Fares': 80573, 'Average Fare': 0.5977092497941441}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': 72.20866106138686, 'Diesel (%)': 27.791338938613148, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17610.573888975006, 'Diesel (Wh/pkm)': 13519.51375322511, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798, 'Passenger Paid Fares': 24562, 'Average Fare': 1.3800427014271266}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50157, 'Mode': 'DR', 'UACE Code': '16885', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8591.747084484272, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8591.747084484272, 'Unlinked Passenger Trips': 34609, 'Passenger Paid Fares': 82242, 'Average Fare': 2.3763182987084286}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 79173.77769457226, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 109140.40914656768, 'Unlinked Passenger Trips': 62638, 'Passenger Paid Fares': 71549, 'Average Fare': 1.14226188575625}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50198, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 16.570763813524252, 'Diesel (%)': 83.42923618647575, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12173.145399748155, 'Diesel (Wh/pkm)': 112.57961048043698, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2111.107481994698, 'Unlinked Passenger Trips': 35158, 'Passenger Paid Fares': 7738, 'Average Fare': 0.22009215541270835}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60008, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8372.893740517704, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8372.893740517704, 'Unlinked Passenger Trips': 1551223, 'Passenger Paid Fares': 1566828, 'Average Fare': 1.0100598044252824}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 60048, 'Mode': 'VP', 'UACE Code': '04384', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2856.4680837232117, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2856.4680837232117, 'Unlinked Passenger Trips': 432153, 'Passenger Paid Fares': 1774330, 'Average Fare': 4.105791235974296}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60095, 'Mode': 'MB', 'UACE Code': '90514', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6785.42792517164, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6785.42792517164, 'Unlinked Passenger Trips': 168541, 'Passenger Paid Fares': 59748, 'Average Fare': 0.35450127862063235}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60111, 'Mode': 'DR', 'UACE Code': '01171', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 26004.462728596718, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26004.462728596718, 'Unlinked Passenger Trips': 49900, 'Passenger Paid Fares': 17584, 'Average Fare': 0.35238476953907816}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8065.926553720119, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8065.926553720119, 'Unlinked Passenger Trips': 57709, 'Passenger Paid Fares': 26619, 'Average Fare': 0.46126254137136324}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70035, 'Mode': 'MB', 'UACE Code': '43912', 'Gasoline (%)': 1.8203864277489596, 'Diesel (%)': 84.63439573440952, 'LPG (%)': None, 'CNG (%)': 13.545217837841506, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7828.115497903377, 'Diesel (Wh/pkm)': 2704.3051384584455, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1310.374242211329, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2608.767310419727, 'Unlinked Passenger Trips': 149539, 'Passenger Paid Fares': 96119, 'Average Fare': 0.6427687760383579}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70048, 'Mode': 'DR', 'UACE Code': '48232', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7541.777921860914, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7541.777921860914, 'Unlinked Passenger Trips': 43977, 'Passenger Paid Fares': 80838, 'Average Fare': 1.838188143802442}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': 36.30098533977076, 'Diesel (%)': 63.699014660229224, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3342.5872502880384, 'Diesel (Wh/pkm)': 8351.579051864566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914, 'Passenger Paid Fares': 109755, 'Average Fare': 0.7733909268993898}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90009, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.8702877942804552, 'Diesel (%)': 98.9636647945405, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.1660474111790506, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5487.825236108926, 'Diesel (Wh/pkm)': 1392.7395207468355, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 0.32731077555383453, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1426.0664874653562, 'Unlinked Passenger Trips': 8953687, 'Passenger Paid Fares': 11008783, 'Average Fare': 1.2295251107169594}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90086, 'Mode': 'DR', 'UACE Code': '75340', 'Gasoline (%)': 0.04508869686936392, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.95491130313064, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17419.371116294576, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 653.5071534994337, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 661.0666630791483, 'Unlinked Passenger Trips': 97080, 'Passenger Paid Fares': 309027, 'Average Fare': 3.1832200247218787}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90147, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 80.85265271075959, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 19.147347289240408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8157.972310598777, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 212.61170266680074, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6636.646521615538, 'Unlinked Passenger Trips': 261429, 'Passenger Paid Fares': 238454, 'Average Fare': 0.9121176304082561}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90159, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 44815.9029220862, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 44815.9029220862, 'Unlinked Passenger Trips': 27815, 'Passenger Paid Fares': 33918, 'Average Fare': 1.2194139852597519}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90196, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8647.54848275411, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8647.54848275411, 'Unlinked Passenger Trips': 24647, 'Passenger Paid Fares': 17939, 'Average Fare': 0.7278370592769912}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2182.4745517323845, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2182.4745517323845, 'Unlinked Passenger Trips': 153432, 'Passenger Paid Fares': 839469, 'Average Fare': 5.471277178163616}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90219, 'Mode': 'VP', 'UACE Code': '29818', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1648.841177655871, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1648.841177655871, 'Unlinked Passenger Trips': 8922, 'Passenger Paid Fares': 46601, 'Average Fare': 5.223156242994844}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90233, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1481.1306867436215, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1481.1306867436215, 'Unlinked Passenger Trips': 68423, 'Passenger Paid Fares': 398013, 'Average Fare': 5.8169475176475745}\n", - "Removing YR outlier: expected (np.float64(12.264212171699512), np.float64(976.9718941567324)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1323.574873416663, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1323.574873416663, 'Unlinked Passenger Trips': 272313, 'Passenger Paid Fares': 156108, 'Average Fare': 0.573266792257439}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 16, 'Mode': 'DR', 'UACE Code': '51283', 'Gasoline (%)': 59.88415239453724, 'Diesel (%)': 0.7787426390508593, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 39.337104966411914, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5878.173948674644, 'Diesel (Wh/pkm)': 13561.90774484908, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7348.928942300558, 'Unlinked Passenger Trips': 26222, 'Passenger Paid Fares': 14091, 'Average Fare': 0.5373731980779498}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3531.150016351292, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3531.150016351292, 'Unlinked Passenger Trips': 236772, 'Passenger Paid Fares': 160739, 'Average Fare': 0.6788767252884632}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10066, 'Mode': 'DR', 'UACE Code': '11755', 'Gasoline (%)': 99.8481761648889, 'Diesel (%)': 0.15182383511110836, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5442.782979983078, 'Diesel (Wh/pkm)': 143748.62365749583, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5652.7642114823375, 'Unlinked Passenger Trips': 135978, 'Passenger Paid Fares': 82688, 'Average Fare': 0.6080983688537852}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 65.4756174325175, 'Diesel (%)': 34.524382567482505, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2666.204879817641, 'Diesel (Wh/pkm)': 7505.511841548257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4336.945728900333, 'Unlinked Passenger Trips': 124721, 'Passenger Paid Fares': 149489, 'Average Fare': 1.1985872467347118}\n", - "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3399.620010304807, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3399.620010304807, 'Unlinked Passenger Trips': 106733, 'Passenger Paid Fares': 163479, 'Average Fare': 1.5316631219960086}\n", - "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2137.743848328784, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2137.743848328784, 'Unlinked Passenger Trips': 477660, 'Passenger Paid Fares': 1427968, 'Average Fare': 2.989507180839928}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20008, 'Mode': 'DR', 'UACE Code': '63217', 'Gasoline (%)': 98.29207116872034, 'Diesel (%)': 1.7079288312796537, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4133.145391017476, 'Diesel (Wh/pkm)': 11241.04356400247, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4254.543233211885, 'Unlinked Passenger Trips': 2502323, 'Passenger Paid Fares': 1837164, 'Average Fare': 0.7341833967877048}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20072, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': 42.3913761294567, 'Diesel (%)': 57.6086238705433, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 772.7848674971983, 'Diesel (Wh/pkm)': 3458.6494957812006, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2320.074518877295, 'Unlinked Passenger Trips': 2234828, 'Passenger Paid Fares': 2803943, 'Average Fare': 1.2546571816712517}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10546.021648304762, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10546.021648304762, 'Unlinked Passenger Trips': 111318, 'Passenger Paid Fares': 197321, 'Average Fare': 1.7725884403241166}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30034, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 11007.976999736657, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11007.976999736657, 'Unlinked Passenger Trips': 55439277, 'Passenger Paid Fares': 34182621, 'Average Fare': 0.6165776837241221}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': 90.33263825838829, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3488.954697660515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051, 'Passenger Paid Fares': 275561, 'Average Fare': 0.8859029548209136}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 51.69921164342026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 14330.88469596972, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724, 'Passenger Paid Fares': 4072, 'Average Fare': 0.16469826888852937}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 86.1796331023662, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.820366897633814, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3518.9052071062197, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1859.2360562676179, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3289.5328411734813, 'Unlinked Passenger Trips': 2005653, 'Passenger Paid Fares': 706000, 'Average Fare': 0.3520050577043985}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40003, 'Mode': 'DR', 'UACE Code': '56116', 'Gasoline (%)': 76.93309859485196, 'Diesel (%)': 23.06690140514805, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2763.787978789513, 'Diesel (Wh/pkm)': 12734.817642636834, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5063.795560427239, 'Unlinked Passenger Trips': 159929, 'Passenger Paid Fares': 341914, 'Average Fare': 2.1379111980941543}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7522.6938482174455, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7522.6938482174455, 'Unlinked Passenger Trips': 457188, 'Passenger Paid Fares': 178718, 'Average Fare': 0.3909070229314855}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40036, 'Mode': 'MB', 'UACE Code': '86464', 'Gasoline (%)': None, 'Diesel (%)': 83.94385769872152, 'LPG (%)': None, 'CNG (%)': 9.25377646450757, 'Hydrogen (%)': None, 'Electric (%)': 6.802365836770916, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3783.3002755725706, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1442.7981863696652, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 233.43359115010867, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3325.240525498538, 'Unlinked Passenger Trips': 2046582, 'Passenger Paid Fares': 619118, 'Average Fare': 0.3025131658540923}\n", - "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 17356.819814985673, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17356.819814985673, 'Unlinked Passenger Trips': 406504, 'Passenger Paid Fares': 1442888, 'Average Fare': 3.5495050479208077}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': None, 'Diesel (%)': 73.44404637373239, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3459.193412245356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940, 'Passenger Paid Fares': 56188, 'Average Fare': 0.7117810995692931}\n", - "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 211305.70910883203, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 211305.70910883203, 'Unlinked Passenger Trips': 59778, 'Passenger Paid Fares': 296339, 'Average Fare': 4.957325437451906}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40100, 'Mode': 'MB', 'UACE Code': '85708', 'Gasoline (%)': 93.48060148844382, 'Diesel (%)': 6.519398511556174, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 732.7251893168394, 'Diesel (Wh/pkm)': 3489.3483810895523, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 945.3472680353655, 'Unlinked Passenger Trips': 115689, 'Passenger Paid Fares': 33719, 'Average Fare': 0.2914624553760513}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': None, 'Diesel (%)': 0.00028177665818518926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21727843.611543547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476, 'Passenger Paid Fares': 59579, 'Average Fare': 1.0188624392913332}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40141, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 54.43511462753816, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 45.56488537246183, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4809.008695952649, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3252.5933080568802, 'Unlinked Passenger Trips': 2350222, 'Passenger Paid Fares': 1484877, 'Average Fare': 0.6318028679843861}\n", - "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1525.1486470734064, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1525.1486470734064, 'Unlinked Passenger Trips': 214101, 'Passenger Paid Fares': 772961, 'Average Fare': 3.61026338036721}\n", - "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40192, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2720.79752257257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2720.79752257257, 'Unlinked Passenger Trips': 9765, 'Passenger Paid Fares': 6783, 'Average Fare': 0.6946236559139785}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 10.669544372147847, 'Diesel (%)': 89.33045562785216, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3021.476332814577, 'Diesel (Wh/pkm)': 4095.839954634681, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3981.2102512863703, 'Unlinked Passenger Trips': 80275, 'Passenger Paid Fares': 46523, 'Average Fare': 0.5795453129866085}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.98585414979546, 'Diesel (%)': 0.014145850204530826, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1759.569724223179, 'Diesel (Wh/pkm)': 11936.88439937583, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1761.00939191197, 'Unlinked Passenger Trips': 123863, 'Passenger Paid Fares': 176027, 'Average Fare': 1.4211427141277055}\n", - "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 44929, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21660.00533153179, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21660.00533153179, 'Unlinked Passenger Trips': 37582, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50021, 'Mode': 'MB', 'UACE Code': '00766', 'Gasoline (%)': 40.05475163634727, 'Diesel (%)': 51.59781915494999, 'LPG (%)': None, 'CNG (%)': 8.347429208702744, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 532.8473960023601, 'Diesel (Wh/pkm)': 3700.4596646091254, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1567.5984081457043, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2253.6413541130883, 'Unlinked Passenger Trips': 397309, 'Passenger Paid Fares': 94612, 'Average Fare': 0.23813203325371438}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50034, 'Mode': 'DR', 'UACE Code': '42157', 'Gasoline (%)': 94.53388615662836, 'Diesel (%)': 5.466113843371634, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3242.0806716672637, 'Diesel (Wh/pkm)': 20668.529758953326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4194.630217635517, 'Unlinked Passenger Trips': 22159, 'Passenger Paid Fares': 47811, 'Average Fare': 2.1576334672142243}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50036, 'Mode': 'DR', 'UACE Code': '47719', 'Gasoline (%)': 98.82464000283714, 'Diesel (%)': 1.1753599971628599, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3957.5967729762842, 'Diesel (Wh/pkm)': 19351.21602055549, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4138.527215727893, 'Unlinked Passenger Trips': 330925, 'Passenger Paid Fares': 553254, 'Average Fare': 1.6718410515977942}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': None, 'Diesel (%)': 36.07936141537041, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8456.803151258255, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921, 'Passenger Paid Fares': 203815, 'Average Fare': 5.52030010021397}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 28.68546115054473, 'Diesel (%)': 71.31453884945526, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 942.6757600962276, 'Diesel (Wh/pkm)': 7012.0548151691955, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5271.02544424694, 'Unlinked Passenger Trips': 493179, 'Passenger Paid Fares': 390902, 'Average Fare': 0.792616879469726}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 82.77861241189726, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6969.72218622415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803, 'Passenger Paid Fares': 80573, 'Average Fare': 0.5977092497941441}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': None, 'Diesel (%)': 27.791338938613148, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13519.51375322511, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798, 'Passenger Paid Fares': 24562, 'Average Fare': 1.3800427014271266}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50092, 'Mode': 'MB', 'UACE Code': '75637', 'Gasoline (%)': 49.02319295788119, 'Diesel (%)': 50.9768070421188, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 46.32582931300053, 'Diesel (Wh/pkm)': 3263.937984670651, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1686.56176911343, 'Unlinked Passenger Trips': 876908, 'Passenger Paid Fares': 375784, 'Average Fare': 0.4285329817951256}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50146, 'Mode': 'MB', 'UACE Code': '77770', 'Gasoline (%)': 20.422988163264723, 'Diesel (%)': 79.57701183673528, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1244.8213921229055, 'Diesel (Wh/pkm)': 3773.919126117356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3257.4017952662734, 'Unlinked Passenger Trips': 1747383, 'Passenger Paid Fares': 1880876, 'Average Fare': 1.076395958985523}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50154, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 32.414806485537234, 'Diesel (%)': 67.58519351446277, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1177.8653278230706, 'Diesel (Wh/pkm)': 4200.0602911771, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3220.421642190239, 'Unlinked Passenger Trips': 1058928, 'Passenger Paid Fares': 406290, 'Average Fare': 0.38368047685961654}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50157, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10528.74251476537, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18766.858178940434, 'Unlinked Passenger Trips': 186122, 'Passenger Paid Fares': 99600, 'Average Fare': 0.5351328698380632}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50517, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5581.074959737538, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5581.074959737538, 'Unlinked Passenger Trips': 1218, 'Passenger Paid Fares': 623247, 'Average Fare': 511.6970443349754}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60009, 'Mode': 'DR', 'UACE Code': '47854', 'Gasoline (%)': 65.47313163626464, 'Diesel (%)': 34.52686836373537, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5323.192441916898, 'Diesel (Wh/pkm)': 7665.552681034305, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6131.936078281444, 'Unlinked Passenger Trips': 30752, 'Passenger Paid Fares': 42875, 'Average Fare': 1.394218262226847}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 77.77752665510246, 'LPG (%)': None, 'CNG (%)': 22.22247334489753, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9589.478401391048, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2346.736779699934, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.962075070941, 'Unlinked Passenger Trips': 16481, 'Passenger Paid Fares': 22468, 'Average Fare': 1.3632667920635884}\n", - "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60032, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 33065.19986576219, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33065.19986576219, 'Unlinked Passenger Trips': 400943, 'Passenger Paid Fares': 538854, 'Average Fare': 1.3439665987434624}\n", - "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 60056, 'Mode': 'CR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1634.9774509458591, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1634.9774509458591, 'Unlinked Passenger Trips': 1266076, 'Passenger Paid Fares': 5572130, 'Average Fare': 4.401102303495209}\n", - "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 60095, 'Mode': 'CB', 'UACE Code': '90514', 'Gasoline (%)': 75.92350153502224, 'Diesel (%)': 24.076498464977757, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 622.1628282069369, 'Diesel (Wh/pkm)': 3249.059512859338, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1254.627568163824, 'Unlinked Passenger Trips': 67255, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60103, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 99.7797302679129, 'Diesel (%)': 0.2202697320871049, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1030.9930411062219, 'Diesel (Wh/pkm)': 8100.8680384289, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1046.5658358217179, 'Unlinked Passenger Trips': 85067, 'Passenger Paid Fares': 48977, 'Average Fare': 0.5757461765431954}\n", - "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60127, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 22848.095831505492, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22848.095831505492, 'Unlinked Passenger Trips': 505664, 'Passenger Paid Fares': 164678, 'Average Fare': 0.3256668459688647}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70019, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9576.261056260882, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9576.261056260882, 'Unlinked Passenger Trips': 6441, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70048, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 46.97748973385665, 'Diesel (%)': 53.02251026614334, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1741.7581810828715, 'Diesel (Wh/pkm)': 4418.593155482343, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.083280191547, 'Unlinked Passenger Trips': 524148, 'Passenger Paid Fares': 168166, 'Average Fare': 0.3208368628707922}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': None, 'Diesel (%)': 63.699014660229224, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8351.579051864566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914, 'Passenger Paid Fares': 109755, 'Average Fare': 0.7733909268993898}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 64.09437932682044, 'Diesel (%)': 35.905620673179556, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3013.3717108050423, 'Diesel (Wh/pkm)': 6451.534513832163, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4247.865404986318, 'Unlinked Passenger Trips': 68999, 'Passenger Paid Fares': 20512, 'Average Fare': 0.2972796707198655}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90009, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 99.53255412685141, 'Diesel (%)': 0.4674458731485827, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 38.085109036914474, 'Diesel (Wh/pkm)': 247882.4950628998, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1196.6235751957017, 'Unlinked Passenger Trips': 273568, 'Passenger Paid Fares': 680876, 'Average Fare': 2.4888729675985495}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90088, 'Mode': 'DR', 'UACE Code': '61057', 'Gasoline (%)': 99.81435430520577, 'Diesel (%)': 0.1856456947942405, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4353.644600064741, 'Diesel (Wh/pkm)': 281185.94356030994, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4867.571844884358, 'Unlinked Passenger Trips': 88486, 'Passenger Paid Fares': 296965, 'Average Fare': 3.356067626517189}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3249.7198721736077, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3249.7198721736077, 'Unlinked Passenger Trips': 395774, 'Passenger Paid Fares': 387701, 'Average Fare': 0.979601995077999}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90121, 'Mode': 'MB', 'UACE Code': '67140', 'Gasoline (%)': None, 'Diesel (%)': 25.917087153521734, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 74.08291284647827, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5984.714522628747, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1508.3291986896368, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2668.477884422392, 'Unlinked Passenger Trips': 1702884, 'Passenger Paid Fares': 1859594, 'Average Fare': 1.0920262331433028}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 62.71717450642041, 'LPG (%)': None, 'CNG (%)': 37.282825493579594, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5537.924618430688, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1909.0864672445844, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4184.991223079532, 'Unlinked Passenger Trips': 632664, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90214, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 11060.153356165254, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11060.153356165254, 'Unlinked Passenger Trips': 10317, 'Passenger Paid Fares': 8860, 'Average Fare': 0.8587767761946302}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 3, 'Mode': 'MB', 'UACE Code': '80389', 'Gasoline (%)': 0.8260317665486375, 'Diesel (%)': 10.772788828122074, 'LPG (%)': None, 'CNG (%)': 88.16744732652332, 'Hydrogen (%)': None, 'Electric (%)': 0.23373207880597208, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 911.6411415214352, 'Diesel (Wh/pkm)': 1343.3333513161679, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 335.1022415653488, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 6831.006830175003, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 463.6622572105935, 'Unlinked Passenger Trips': 4755960, 'Passenger Paid Fares': 4416932, 'Average Fare': 0.9287151279657524}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 18, 'Mode': 'MB', 'UACE Code': '44479', 'Gasoline (%)': None, 'Diesel (%)': 99.99567446202379, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.004325537976211553, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2362.520628538274, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 8252.014020032631, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2362.77538081153, 'Unlinked Passenger Trips': 1218177, 'Passenger Paid Fares': 126329, 'Average Fare': 0.1037033206176114}\n", - "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 20099, 'Mode': 'HR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 255.39624441533817, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 255.39624441533817, 'Unlinked Passenger Trips': 2713941, 'Passenger Paid Fares': 2857140, 'Average Fare': 1.0527642273726658}\n", - "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 587.3186108816903, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 587.3186108816903, 'Unlinked Passenger Trips': 5572417, 'Passenger Paid Fares': 5063372, 'Average Fare': 0.9086491552947312}\n", - "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 610.167751960864, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 610.167751960864, 'Unlinked Passenger Trips': 1044002, 'Passenger Paid Fares': 1124608, 'Average Fare': 1.0772086643512178}\n", - "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 40034, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1611.6859712672479, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1611.6859712672479, 'Unlinked Passenger Trips': 11862059, 'Passenger Paid Fares': 5027198, 'Average Fare': 0.4238048386034836}\n", - "Removing SR outlier: expected (np.float64(-1320.621992382698), np.float64(3314.984859547297)), got {'NTD ID': 50003, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 15841.636594160265, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15841.636594160265, 'Unlinked Passenger Trips': 3845, 'Passenger Paid Fares': 2825, 'Average Fare': 0.7347204161248374}\n", - "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 379.11957207919994, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 379.11957207919994, 'Unlinked Passenger Trips': 2638201, 'Passenger Paid Fares': 3682948, 'Average Fare': 1.396007355011995}\n", - "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3060.4790050878587, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3060.4790050878587, 'Unlinked Passenger Trips': 589245, 'Passenger Paid Fares': 1052721, 'Average Fare': 1.786559071354021}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90032, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.0206692067182273, 'Diesel (%)': 22.711444451132166, 'LPG (%)': None, 'CNG (%)': 74.90089908710604, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.3669872550435685, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 973.2636859763709, 'Diesel (Wh/pkm)': 1790.4100242116274, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.8059303458351, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 24280.550133230525, 'All Fuels (Wh/pkm)': 761.6795402231954, 'Unlinked Passenger Trips': 30330695, 'Passenger Paid Fares': 20498807, 'Average Fare': 0.6758436296959236}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.89315644598202, 'Diesel (%)': 19.250863606632613, 'LPG (%)': None, 'CNG (%)': 76.8628843639063, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9930955834790622, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1140.294871715322, 'Diesel (Wh/pkm)': 1521.802485733266, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 534.5818690948446, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5751.980927638325, 'All Fuels (Wh/pkm)': 793.9683479028037, 'Unlinked Passenger Trips': 11137195, 'Passenger Paid Fares': 6442461, 'Average Fare': 0.5784635179683933}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 5, 'Mode': 'DR', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17645.760847043326, 'Unlinked Passenger Trips': 53400, 'Passenger Paid Fares': 70111, 'Average Fare': 1.312940074906367}\n", - "Removing YR outlier: expected (np.float64(12.264212171699512), np.float64(976.9718941567324)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1323.574873416663, 'Unlinked Passenger Trips': 272313, 'Passenger Paid Fares': 156108, 'Average Fare': 0.573266792257439}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 43, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 100.0, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9069.534815876887, 'Unlinked Passenger Trips': 40221, 'Passenger Paid Fares': 7170, 'Average Fare': 0.17826508540314762}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3531.150016351292, 'Unlinked Passenger Trips': 236772, 'Passenger Paid Fares': 160739, 'Average Fare': 0.6788767252884632}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 10001, 'Mode': 'VP', 'UACE Code': '72505', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1526.0946678745154, 'Unlinked Passenger Trips': 62321, 'Passenger Paid Fares': 376305, 'Average Fare': 6.038173328412574}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10040, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8301.513151390058, 'Unlinked Passenger Trips': 4617, 'Passenger Paid Fares': 17036, 'Average Fare': 3.689841888672298}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 65.4756174325175, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2666.204879817641, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4336.945728900333, 'Unlinked Passenger Trips': 124721, 'Passenger Paid Fares': 149489, 'Average Fare': 1.1985872467347118}\n", - "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3399.620010304807, 'Unlinked Passenger Trips': 106733, 'Passenger Paid Fares': 163479, 'Average Fare': 1.5316631219960086}\n", - "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2137.743848328784, 'Unlinked Passenger Trips': 477660, 'Passenger Paid Fares': 1427968, 'Average Fare': 2.989507180839928}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7876.2160305723855, 'Unlinked Passenger Trips': 181633, 'Passenger Paid Fares': 416653, 'Average Fare': 2.2939278655310433}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10546.021648304762, 'Unlinked Passenger Trips': 111318, 'Passenger Paid Fares': 197321, 'Average Fare': 1.7725884403241166}\n", - "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 20099, 'Mode': 'HR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 255.39624441533817, 'Unlinked Passenger Trips': 2713941, 'Passenger Paid Fares': 2857140, 'Average Fare': 1.0527642273726658}\n", - "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 587.3186108816903, 'Unlinked Passenger Trips': 5572417, 'Passenger Paid Fares': 5063372, 'Average Fare': 0.9086491552947312}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30034, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11007.976999736657, 'Unlinked Passenger Trips': 55439277, 'Passenger Paid Fares': 34182621, 'Average Fare': 0.6165776837241221}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051, 'Passenger Paid Fares': 275561, 'Average Fare': 0.8859029548209136}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30083, 'Mode': 'DR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33524.75965809171, 'Unlinked Passenger Trips': 336232, 'Passenger Paid Fares': 643494, 'Average Fare': 1.9138392538485332}\n", - "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 610.167751960864, 'Unlinked Passenger Trips': 1044002, 'Passenger Paid Fares': 1124608, 'Average Fare': 1.0772086643512178}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724, 'Passenger Paid Fares': 4072, 'Average Fare': 0.16469826888852937}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.820366897633814, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1859.2360562676179, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3289.5328411734813, 'Unlinked Passenger Trips': 2005653, 'Passenger Paid Fares': 706000, 'Average Fare': 0.3520050577043985}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40002, 'Mode': 'DR', 'UACE Code': '45640', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11141.492519300684, 'Unlinked Passenger Trips': 60941, 'Passenger Paid Fares': 124862, 'Average Fare': 2.0488997555012225}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7522.6938482174455, 'Unlinked Passenger Trips': 457188, 'Passenger Paid Fares': 178718, 'Average Fare': 0.3909070229314855}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1716.5528488112682, 'Unlinked Passenger Trips': 14155, 'Passenger Paid Fares': 79518, 'Average Fare': 5.617661603673613}\n", - "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 40034, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1611.6859712672479, 'Unlinked Passenger Trips': 11862059, 'Passenger Paid Fares': 5027198, 'Average Fare': 0.4238048386034836}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40036, 'Mode': 'MB', 'UACE Code': '86464', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 9.25377646450757, 'Hydrogen (%)': None, 'Electric (%)': 6.802365836770916, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1442.7981863696652, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 233.43359115010867, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3325.240525498538, 'Unlinked Passenger Trips': 2046582, 'Passenger Paid Fares': 619118, 'Average Fare': 0.3025131658540923}\n", - "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17356.819814985673, 'Unlinked Passenger Trips': 406504, 'Passenger Paid Fares': 1442888, 'Average Fare': 3.5495050479208077}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40051, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8453.959763227964, 'Unlinked Passenger Trips': 57602, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9420.739521948457, 'Unlinked Passenger Trips': 7957, 'Passenger Paid Fares': 21195, 'Average Fare': 2.663692346361694}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940, 'Passenger Paid Fares': 56188, 'Average Fare': 0.7117810995692931}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40063, 'Mode': 'DR', 'UACE Code': '67105', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2839.2118982948937, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 45862.40944852857, 'Unlinked Passenger Trips': 112270, 'Passenger Paid Fares': 230979, 'Average Fare': 2.0573528101897214}\n", - "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 211305.70910883203, 'Unlinked Passenger Trips': 59778, 'Passenger Paid Fares': 296339, 'Average Fare': 4.957325437451906}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9207.553783873936, 'Unlinked Passenger Trips': 21120, 'Passenger Paid Fares': 35870, 'Average Fare': 1.6983901515151516}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476, 'Passenger Paid Fares': 59579, 'Average Fare': 1.0188624392913332}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40141, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 45.56488537246183, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3252.5933080568802, 'Unlinked Passenger Trips': 2350222, 'Passenger Paid Fares': 1484877, 'Average Fare': 0.6318028679843861}\n", - "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1525.1486470734064, 'Unlinked Passenger Trips': 214101, 'Passenger Paid Fares': 772961, 'Average Fare': 3.61026338036721}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 31.876629018245005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 494.93159861953836, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8135.611346394638, 'Unlinked Passenger Trips': 9196, 'Passenger Paid Fares': 10518, 'Average Fare': 1.1437581557198782}\n", - "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40192, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2720.79752257257, 'Unlinked Passenger Trips': 9765, 'Passenger Paid Fares': 6783, 'Average Fare': 0.6946236559139785}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 10.669544372147847, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3021.476332814577, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3981.2102512863703, 'Unlinked Passenger Trips': 80275, 'Passenger Paid Fares': 46523, 'Average Fare': 0.5795453129866085}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 8.9486539071879, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8422.659301298758, 'Unlinked Passenger Trips': 91319, 'Passenger Paid Fares': 99294, 'Average Fare': 1.0873312235131791}\n", - "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 44929, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21660.00533153179, 'Unlinked Passenger Trips': 37582, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing SR outlier: expected (np.float64(-1320.621992382698), np.float64(3314.984859547297)), got {'NTD ID': 50003, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15841.636594160265, 'Unlinked Passenger Trips': 3845, 'Passenger Paid Fares': 2825, 'Average Fare': 0.7347204161248374}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50011, 'Mode': 'DR', 'UACE Code': '13375', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1782.458435506402, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7819.471811802534, 'Unlinked Passenger Trips': 92110, 'Passenger Paid Fares': 236310, 'Average Fare': 2.565519487569211}\n", - "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 379.11957207919994, 'Unlinked Passenger Trips': 2638201, 'Passenger Paid Fares': 3682948, 'Average Fare': 1.396007355011995}\n", - "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3060.4790050878587, 'Unlinked Passenger Trips': 589245, 'Passenger Paid Fares': 1052721, 'Average Fare': 1.786559071354021}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921, 'Passenger Paid Fares': 203815, 'Average Fare': 5.52030010021397}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50040, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2366.1938590928266, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8620.453913897603, 'Unlinked Passenger Trips': 133417, 'Passenger Paid Fares': 402374, 'Average Fare': 3.015912514896902}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 50040, 'Mode': 'VP', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1074.4606930089446, 'Unlinked Passenger Trips': 193599, 'Passenger Paid Fares': 965136, 'Average Fare': 4.985232361737405}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50045, 'Mode': 'DR', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13126.56335518287, 'Unlinked Passenger Trips': 12554, 'Passenger Paid Fares': 34987, 'Average Fare': 2.786920503425203}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 28.68546115054473, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 942.6757600962276, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5271.02544424694, 'Unlinked Passenger Trips': 493179, 'Passenger Paid Fares': 390902, 'Average Fare': 0.792616879469726}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803, 'Passenger Paid Fares': 80573, 'Average Fare': 0.5977092497941441}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798, 'Passenger Paid Fares': 24562, 'Average Fare': 1.3800427014271266}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50146, 'Mode': 'MB', 'UACE Code': '77770', 'Gasoline (%)': 20.422988163264723, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1244.8213921229055, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3257.4017952662734, 'Unlinked Passenger Trips': 1747383, 'Passenger Paid Fares': 1880876, 'Average Fare': 1.076395958985523}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50154, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 32.414806485537234, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1177.8653278230706, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3220.421642190239, 'Unlinked Passenger Trips': 1058928, 'Passenger Paid Fares': 406290, 'Average Fare': 0.38368047685961654}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50157, 'Mode': 'DR', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8591.747084484272, 'Unlinked Passenger Trips': 34609, 'Passenger Paid Fares': 82242, 'Average Fare': 2.3763182987084286}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50157, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18766.858178940434, 'Unlinked Passenger Trips': 186122, 'Passenger Paid Fares': 99600, 'Average Fare': 0.5351328698380632}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 109140.40914656768, 'Unlinked Passenger Trips': 62638, 'Passenger Paid Fares': 71549, 'Average Fare': 1.14226188575625}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50517, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5581.074959737538, 'Unlinked Passenger Trips': 1218, 'Passenger Paid Fares': 623247, 'Average Fare': 511.6970443349754}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60008, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8372.893740517704, 'Unlinked Passenger Trips': 1551223, 'Passenger Paid Fares': 1566828, 'Average Fare': 1.0100598044252824}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 22.22247334489753, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2346.736779699934, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.962075070941, 'Unlinked Passenger Trips': 16481, 'Passenger Paid Fares': 22468, 'Average Fare': 1.3632667920635884}\n", - "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60032, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33065.19986576219, 'Unlinked Passenger Trips': 400943, 'Passenger Paid Fares': 538854, 'Average Fare': 1.3439665987434624}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 60048, 'Mode': 'VP', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2856.4680837232117, 'Unlinked Passenger Trips': 432153, 'Passenger Paid Fares': 1774330, 'Average Fare': 4.105791235974296}\n", - "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 60056, 'Mode': 'CR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1634.9774509458591, 'Unlinked Passenger Trips': 1266076, 'Passenger Paid Fares': 5572130, 'Average Fare': 4.401102303495209}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60059, 'Mode': 'MB', 'UACE Code': '18748', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2326.0863485749956, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6920.335142859514, 'Unlinked Passenger Trips': 194839, 'Passenger Paid Fares': 174889, 'Average Fare': 0.8976077684652457}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60095, 'Mode': 'MB', 'UACE Code': '90514', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6785.42792517164, 'Unlinked Passenger Trips': 168541, 'Passenger Paid Fares': 59748, 'Average Fare': 0.35450127862063235}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60111, 'Mode': 'DR', 'UACE Code': '01171', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26004.462728596718, 'Unlinked Passenger Trips': 49900, 'Passenger Paid Fares': 17584, 'Average Fare': 0.35238476953907816}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8065.926553720119, 'Unlinked Passenger Trips': 57709, 'Passenger Paid Fares': 26619, 'Average Fare': 0.46126254137136324}\n", - "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60127, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22848.095831505492, 'Unlinked Passenger Trips': 505664, 'Passenger Paid Fares': 164678, 'Average Fare': 0.3256668459688647}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70019, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9576.261056260882, 'Unlinked Passenger Trips': 6441, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70048, 'Mode': 'DR', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7541.777921860914, 'Unlinked Passenger Trips': 43977, 'Passenger Paid Fares': 80838, 'Average Fare': 1.838188143802442}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70048, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 46.97748973385665, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1741.7581810828715, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.083280191547, 'Unlinked Passenger Trips': 524148, 'Passenger Paid Fares': 168166, 'Average Fare': 0.3208368628707922}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914, 'Passenger Paid Fares': 109755, 'Average Fare': 0.7733909268993898}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 64.09437932682044, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3013.3717108050423, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4247.865404986318, 'Unlinked Passenger Trips': 68999, 'Passenger Paid Fares': 20512, 'Average Fare': 0.2972796707198655}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4435.709297994961, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12806.700740895738, 'Unlinked Passenger Trips': 126099, 'Passenger Paid Fares': 600945, 'Average Fare': 4.765660314514786}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2952.454564240245, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9775.133409426599, 'Unlinked Passenger Trips': 46466, 'Passenger Paid Fares': 10291, 'Average Fare': 0.2214737657642147}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3249.7198721736077, 'Unlinked Passenger Trips': 395774, 'Passenger Paid Fares': 387701, 'Average Fare': 0.979601995077999}\n", - "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 37.282825493579594, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1909.0864672445844, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4184.991223079532, 'Unlinked Passenger Trips': 632664, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90159, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 44815.9029220862, 'Unlinked Passenger Trips': 27815, 'Passenger Paid Fares': 33918, 'Average Fare': 1.2194139852597519}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90196, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8647.54848275411, 'Unlinked Passenger Trips': 24647, 'Passenger Paid Fares': 17939, 'Average Fare': 0.7278370592769912}\n", - "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90214, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11060.153356165254, 'Unlinked Passenger Trips': 10317, 'Passenger Paid Fares': 8860, 'Average Fare': 0.8587767761946302}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2182.4745517323845, 'Unlinked Passenger Trips': 153432, 'Passenger Paid Fares': 839469, 'Average Fare': 5.471277178163616}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90219, 'Mode': 'VP', 'UACE Code': '29818', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1648.841177655871, 'Unlinked Passenger Trips': 8922, 'Passenger Paid Fares': 46601, 'Average Fare': 5.223156242994844}\n", - "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90233, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1481.1306867436215, 'Unlinked Passenger Trips': 68423, 'Passenger Paid Fares': 398013, 'Average Fare': 5.8169475176475745}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 5, 'Mode': 'DR', 'UACE Code': '80389', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17014.66512756386, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17645.760847043326, 'Unlinked Passenger Trips': 53400, 'Passenger Paid Fares': 70111, 'Average Fare': 1.312940074906367, 'Average Passengers': 0.7042183711736675}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 19, 'Mode': 'DR', 'UACE Code': '65242', 'Gasoline (%)': 1.6841629232701998, 'Diesel (%)': 70.81388537750883, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 27.50195169922097, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21512.376065437176, 'Diesel (Wh/pkm)': 2995.6098083579786, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3469.9506960381723, 'Unlinked Passenger Trips': 143104, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.8314414979551357}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 10001, 'Mode': 'VP', 'UACE Code': '72505', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1526.0946678745154, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1526.0946678745154, 'Unlinked Passenger Trips': 62321, 'Passenger Paid Fares': 376305, 'Average Fare': 6.038173328412574, 'Average Passengers': 5.297639599133372}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10040, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8301.513151390058, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8301.513151390058, 'Unlinked Passenger Trips': 4617, 'Passenger Paid Fares': 17036, 'Average Fare': 3.689841888672298, 'Average Passengers': 0.2554592143854302}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10064, 'Mode': 'MB', 'UACE Code': '72505', 'Gasoline (%)': 8.05518025117772, 'Diesel (%)': 91.94481974882227, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5566.951840175719, 'Diesel (Wh/pkm)': 1968.9991388073734, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2258.8207142547117, 'Unlinked Passenger Trips': 543996, 'Passenger Paid Fares': 566840, 'Average Fare': 1.0419929558305576, 'Average Passengers': 1.5580740688753587}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10066, 'Mode': 'CB', 'UACE Code': '11755', 'Gasoline (%)': 0.15278069177396592, 'Diesel (%)': 99.84721930822604, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 28641.778381830627, 'Diesel (Wh/pkm)': 207.85478239903674, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 251.2963275727293, 'Unlinked Passenger Trips': 173839, 'Passenger Paid Fares': 337739, 'Average Fare': 1.9428264083433522, 'Average Passengers': 4.864112774098396}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7876.2160305723855, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7876.2160305723855, 'Unlinked Passenger Trips': 181633, 'Passenger Paid Fares': 416653, 'Average Fare': 2.2939278655310433, 'Average Passengers': 0.7329018611120309}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 9.667361741611709, 'Diesel (%)': 90.33263825838829, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7690.087593242858, 'Diesel (Wh/pkm)': 3488.954697660515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051, 'Passenger Paid Fares': 275561, 'Average Fare': 0.8859029548209136, 'Average Passengers': 1.4308882719968936}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30083, 'Mode': 'DR', 'UACE Code': '90892', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 33524.75965809171, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33524.75965809171, 'Unlinked Passenger Trips': 336232, 'Passenger Paid Fares': 643494, 'Average Fare': 1.9138392538485332, 'Average Passengers': 0.8599823028949436}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': 48.300788356579744, 'Diesel (%)': 51.69921164342026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10302.642422319175, 'Diesel (Wh/pkm)': 14330.88469596972, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724, 'Passenger Paid Fares': 4072, 'Average Fare': 0.16469826888852937, 'Average Passengers': 0.49520330927653583}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40002, 'Mode': 'DR', 'UACE Code': '45640', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11141.492519300684, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11141.492519300684, 'Unlinked Passenger Trips': 60941, 'Passenger Paid Fares': 124862, 'Average Fare': 2.0488997555012225, 'Average Passengers': 0.8592216378288252}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40028, 'Mode': 'DR', 'UACE Code': '13510', 'Gasoline (%)': 4.485835837883961, 'Diesel (%)': 24.57013423785122, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 70.94402992426481, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 16792.355027208087, 'Diesel (Wh/pkm)': 2446.1175705145147, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4909.279972329542, 'Unlinked Passenger Trips': 111547, 'Passenger Paid Fares': 422525, 'Average Fare': 3.7878652048015633, 'Average Passengers': 0.7631105908629168}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40031, 'Mode': 'MB', 'UACE Code': '46828', 'Gasoline (%)': 7.119889341261063, 'Diesel (%)': 92.88011065873893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7312.692659825837, 'Diesel (Wh/pkm)': 2027.9206637279478, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2404.190581788071, 'Unlinked Passenger Trips': 774569, 'Passenger Paid Fares': 401580, 'Average Fare': 0.5184560704081883, 'Average Passengers': 2.5831597197387355}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1716.5528488112682, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1716.5528488112682, 'Unlinked Passenger Trips': 14155, 'Passenger Paid Fares': 79518, 'Average Fare': 5.617661603673613, 'Average Passengers': 3.897757821719483}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40036, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 23.036374275440238, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 76.96362572455978, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11633.224840592811, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1078.8394181069327, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3510.187146503284, 'Unlinked Passenger Trips': 109362, 'Passenger Paid Fares': 230544, 'Average Fare': 2.1080814176770724, 'Average Passengers': 0.9446915178164567}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40051, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8453.959763227964, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8453.959763227964, 'Unlinked Passenger Trips': 57602, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.7918160423373328}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9420.739521948457, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9420.739521948457, 'Unlinked Passenger Trips': 7957, 'Passenger Paid Fares': 21195, 'Average Fare': 2.663692346361694, 'Average Passengers': 0.5063387318372955}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': 26.55595362626761, 'Diesel (%)': 73.44404637373239, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5619.170122733872, 'Diesel (Wh/pkm)': 3459.193412245356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940, 'Passenger Paid Fares': 56188, 'Average Fare': 0.7117810995692931, 'Average Passengers': 1.4231005590778962}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9207.553783873936, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9207.553783873936, 'Unlinked Passenger Trips': 21120, 'Passenger Paid Fares': 35870, 'Average Fare': 1.6983901515151516, 'Average Passengers': 0.3770935579586843}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40097, 'Mode': 'DR', 'UACE Code': '71479', 'Gasoline (%)': 1.4865332487456024, 'Diesel (%)': 98.5134667512544, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9130.13835379776, 'Diesel (Wh/pkm)': 2129.0227596840637, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2233.0966707736775, 'Unlinked Passenger Trips': 68212, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.4971130354938524}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': 99.99971822334182, 'Diesel (%)': 0.00028177665818518926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3775.008711431088, 'Diesel (Wh/pkm)': 21727843.611543547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476, 'Passenger Paid Fares': 59579, 'Average Fare': 1.0188624392913332, 'Average Passengers': 0.9356401384083044}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 68.12337098175499, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 31.876629018245005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11710.876490456216, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 494.93159861953836, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8135.611346394638, 'Unlinked Passenger Trips': 9196, 'Passenger Paid Fares': 10518, 'Average Fare': 1.1437581557198782, 'Average Passengers': 0.3413843035041993}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 91.0513460928121, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 8.9486539071879, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9021.719082222677, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8422.659301298758, 'Unlinked Passenger Trips': 91319, 'Passenger Paid Fares': 99294, 'Average Fare': 1.0873312235131791, 'Average Passengers': 0.9077771492759499}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50022, 'Mode': 'MB', 'UACE Code': '87868', 'Gasoline (%)': 5.3346022573902905e-05, 'Diesel (%)': 99.99994665397743, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15910420.255291028, 'Diesel (Wh/pkm)': 2042.8735808036647, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2051.3600673928536, 'Unlinked Passenger Trips': 1001383, 'Passenger Paid Fares': 1733052, 'Average Fare': 1.7306584992954743, 'Average Passengers': 2.7831502995594524}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50031, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.1381564698664949, 'Diesel (%)': 17.031023725926044, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 82.83081980420747, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12274.439214557475, 'Diesel (Wh/pkm)': 4573.593999730587, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4799.300088645927, 'Unlinked Passenger Trips': 346930, 'Passenger Paid Fares': 698989, 'Average Fare': 2.0147839621825727, 'Average Passengers': 0.7058264763321104}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': 63.9206385846296, 'Diesel (%)': 36.07936141537041, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8946.323329473327, 'Diesel (Wh/pkm)': 8456.803151258255, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921, 'Passenger Paid Fares': 203815, 'Average Fare': 5.52030010021397, 'Average Passengers': 0.5198085776593167}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 50040, 'Mode': 'VP', 'UACE Code': '02602', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1074.4606930089446, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1074.4606930089446, 'Unlinked Passenger Trips': 193599, 'Passenger Paid Fares': 965136, 'Average Fare': 4.985232361737405, 'Average Passengers': 3.7486997777048217}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50045, 'Mode': 'DR', 'UACE Code': '16264', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13126.56335518287, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13126.56335518287, 'Unlinked Passenger Trips': 12554, 'Passenger Paid Fares': 34987, 'Average Fare': 2.786920503425203, 'Average Passengers': 0.5558089404166424}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 17.221387588102733, 'Diesel (%)': 82.77861241189726, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 38554.79298234826, 'Diesel (Wh/pkm)': 6969.72218622415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803, 'Passenger Paid Fares': 80573, 'Average Fare': 0.5977092497941441, 'Average Passengers': 0.44816871611794257}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': 72.20866106138686, 'Diesel (%)': 27.791338938613148, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17610.573888975006, 'Diesel (Wh/pkm)': 13519.51375322511, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798, 'Passenger Paid Fares': 24562, 'Average Fare': 1.3800427014271266, 'Average Passengers': 0.6933991025245778}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50157, 'Mode': 'DR', 'UACE Code': '16885', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8591.747084484272, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8591.747084484272, 'Unlinked Passenger Trips': 34609, 'Passenger Paid Fares': 82242, 'Average Fare': 2.3763182987084286, 'Average Passengers': 0.7723452752932373}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 79173.77769457226, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 109140.40914656768, 'Unlinked Passenger Trips': 62638, 'Passenger Paid Fares': 71549, 'Average Fare': 1.14226188575625, 'Average Passengers': 0.8337923151492936}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50198, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 16.570763813524252, 'Diesel (%)': 83.42923618647575, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12173.145399748155, 'Diesel (Wh/pkm)': 112.57961048043698, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2111.107481994698, 'Unlinked Passenger Trips': 35158, 'Passenger Paid Fares': 7738, 'Average Fare': 0.22009215541270835, 'Average Passengers': 1.424321908984343}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60008, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8372.893740517704, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8372.893740517704, 'Unlinked Passenger Trips': 1551223, 'Passenger Paid Fares': 1566828, 'Average Fare': 1.0100598044252824, 'Average Passengers': 0.8842663511118426}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 60048, 'Mode': 'VP', 'UACE Code': '04384', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2856.4680837232117, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2856.4680837232117, 'Unlinked Passenger Trips': 432153, 'Passenger Paid Fares': 1774330, 'Average Fare': 4.105791235974296, 'Average Passengers': 4.590535582557269}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60095, 'Mode': 'MB', 'UACE Code': '90514', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6785.42792517164, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6785.42792517164, 'Unlinked Passenger Trips': 168541, 'Passenger Paid Fares': 59748, 'Average Fare': 0.35450127862063235, 'Average Passengers': 0.46399335134012054}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60111, 'Mode': 'DR', 'UACE Code': '01171', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 26004.462728596718, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26004.462728596718, 'Unlinked Passenger Trips': 49900, 'Passenger Paid Fares': 17584, 'Average Fare': 0.35238476953907816, 'Average Passengers': 0.8914041449442963}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8065.926553720119, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8065.926553720119, 'Unlinked Passenger Trips': 57709, 'Passenger Paid Fares': 26619, 'Average Fare': 0.46126254137136324, 'Average Passengers': 1.3236131949763401}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70035, 'Mode': 'MB', 'UACE Code': '43912', 'Gasoline (%)': 1.8203864277489596, 'Diesel (%)': 84.63439573440952, 'LPG (%)': None, 'CNG (%)': 13.545217837841506, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7828.115497903377, 'Diesel (Wh/pkm)': 2704.3051384584455, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1310.374242211329, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2608.767310419727, 'Unlinked Passenger Trips': 149539, 'Passenger Paid Fares': 96119, 'Average Fare': 0.6427687760383579, 'Average Passengers': 1.8592201711600265}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70048, 'Mode': 'DR', 'UACE Code': '48232', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7541.777921860914, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7541.777921860914, 'Unlinked Passenger Trips': 43977, 'Passenger Paid Fares': 80838, 'Average Fare': 1.838188143802442, 'Average Passengers': 0.5893818867874036}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': 36.30098533977076, 'Diesel (%)': 63.699014660229224, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3342.5872502880384, 'Diesel (Wh/pkm)': 8351.579051864566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914, 'Passenger Paid Fares': 109755, 'Average Fare': 0.7733909268993898, 'Average Passengers': 0.8670546768184839}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90009, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.8702877942804552, 'Diesel (%)': 98.9636647945405, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.1660474111790506, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5487.825236108926, 'Diesel (Wh/pkm)': 1392.7395207468355, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 0.32731077555383453, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1426.0664874653562, 'Unlinked Passenger Trips': 8953687, 'Passenger Paid Fares': 11008783, 'Average Fare': 1.2295251107169594, 'Average Passengers': 3.832854642065297}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90086, 'Mode': 'DR', 'UACE Code': '75340', 'Gasoline (%)': 0.04508869686936392, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.95491130313064, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 17419.371116294576, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 653.5071534994337, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 661.0666630791483, 'Unlinked Passenger Trips': 97080, 'Passenger Paid Fares': 309027, 'Average Fare': 3.1832200247218787, 'Average Passengers': 1.4763804099988442}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90147, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 80.85265271075959, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 19.147347289240408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8157.972310598777, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 212.61170266680074, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6636.646521615538, 'Unlinked Passenger Trips': 261429, 'Passenger Paid Fares': 238454, 'Average Fare': 0.9121176304082561, 'Average Passengers': 1.0827342553992707}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90159, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 44815.9029220862, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 44815.9029220862, 'Unlinked Passenger Trips': 27815, 'Passenger Paid Fares': 33918, 'Average Fare': 1.2194139852597519, 'Average Passengers': 1.232935957566197}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90196, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8647.54848275411, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8647.54848275411, 'Unlinked Passenger Trips': 24647, 'Passenger Paid Fares': 17939, 'Average Fare': 0.7278370592769912, 'Average Passengers': 0.6826644952723562}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2182.4745517323845, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2182.4745517323845, 'Unlinked Passenger Trips': 153432, 'Passenger Paid Fares': 839469, 'Average Fare': 5.471277178163616, 'Average Passengers': 4.291278345206157}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90219, 'Mode': 'VP', 'UACE Code': '29818', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1648.841177655871, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1648.841177655871, 'Unlinked Passenger Trips': 8922, 'Passenger Paid Fares': 46601, 'Average Fare': 5.223156242994844, 'Average Passengers': 4.065503199534613}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90233, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1481.1306867436215, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1481.1306867436215, 'Unlinked Passenger Trips': 68423, 'Passenger Paid Fares': 398013, 'Average Fare': 5.8169475176475745, 'Average Passengers': 4.846924028680669}\n", + "Removing YR outlier: expected (np.float64(12.264212171699512), np.float64(976.9718941567324)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1323.574873416663, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1323.574873416663, 'Unlinked Passenger Trips': 272313, 'Passenger Paid Fares': 156108, 'Average Fare': 0.573266792257439, 'Average Passengers': 20.36451736535689}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 16, 'Mode': 'DR', 'UACE Code': '51283', 'Gasoline (%)': 59.88415239453724, 'Diesel (%)': 0.7787426390508593, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 39.337104966411914, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5878.173948674644, 'Diesel (Wh/pkm)': 13561.90774484908, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7348.928942300558, 'Unlinked Passenger Trips': 26222, 'Passenger Paid Fares': 14091, 'Average Fare': 0.5373731980779498, 'Average Passengers': 0.6305853412908711}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3531.150016351292, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3531.150016351292, 'Unlinked Passenger Trips': 236772, 'Passenger Paid Fares': 160739, 'Average Fare': 0.6788767252884632, 'Average Passengers': 1.3586314517752869}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10066, 'Mode': 'DR', 'UACE Code': '11755', 'Gasoline (%)': 99.8481761648889, 'Diesel (%)': 0.15182383511110836, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5442.782979983078, 'Diesel (Wh/pkm)': 143748.62365749583, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5652.7642114823375, 'Unlinked Passenger Trips': 135978, 'Passenger Paid Fares': 82688, 'Average Fare': 0.6080983688537852, 'Average Passengers': 0.798714081299635}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 65.4756174325175, 'Diesel (%)': 34.524382567482505, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2666.204879817641, 'Diesel (Wh/pkm)': 7505.511841548257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4336.945728900333, 'Unlinked Passenger Trips': 124721, 'Passenger Paid Fares': 149489, 'Average Fare': 1.1985872467347118, 'Average Passengers': 1.3091002307100743}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3399.620010304807, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3399.620010304807, 'Unlinked Passenger Trips': 106733, 'Passenger Paid Fares': 163479, 'Average Fare': 1.5316631219960086, 'Average Passengers': 3.931919618558272}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2137.743848328784, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2137.743848328784, 'Unlinked Passenger Trips': 477660, 'Passenger Paid Fares': 1427968, 'Average Fare': 2.989507180839928, 'Average Passengers': 25.666986057685605}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20008, 'Mode': 'DR', 'UACE Code': '63217', 'Gasoline (%)': 98.29207116872034, 'Diesel (%)': 1.7079288312796537, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4133.145391017476, 'Diesel (Wh/pkm)': 11241.04356400247, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4254.543233211885, 'Unlinked Passenger Trips': 2502323, 'Passenger Paid Fares': 1837164, 'Average Fare': 0.7341833967877048, 'Average Passengers': 0.7236406121022713}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20072, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': 42.3913761294567, 'Diesel (%)': 57.6086238705433, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 772.7848674971983, 'Diesel (Wh/pkm)': 3458.6494957812006, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2320.074518877295, 'Unlinked Passenger Trips': 2234828, 'Passenger Paid Fares': 2803943, 'Average Fare': 1.2546571816712517, 'Average Passengers': 1.9715099369384574}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10546.021648304762, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10546.021648304762, 'Unlinked Passenger Trips': 111318, 'Passenger Paid Fares': 197321, 'Average Fare': 1.7725884403241166, 'Average Passengers': 0.47336200596614386}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30034, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 11007.976999736657, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11007.976999736657, 'Unlinked Passenger Trips': 55439277, 'Passenger Paid Fares': 34182621, 'Average Fare': 0.6165776837241221, 'Average Passengers': 7.414316207246466}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': 90.33263825838829, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3488.954697660515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051, 'Passenger Paid Fares': 275561, 'Average Fare': 0.8859029548209136, 'Average Passengers': 1.4308882719968936}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 51.69921164342026, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 14330.88469596972, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724, 'Passenger Paid Fares': 4072, 'Average Fare': 0.16469826888852937, 'Average Passengers': 0.49520330927653583}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': 86.1796331023662, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.820366897633814, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3518.9052071062197, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1859.2360562676179, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3289.5328411734813, 'Unlinked Passenger Trips': 2005653, 'Passenger Paid Fares': 706000, 'Average Fare': 0.3520050577043985, 'Average Passengers': 1.7572241790348004}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40003, 'Mode': 'DR', 'UACE Code': '56116', 'Gasoline (%)': 76.93309859485196, 'Diesel (%)': 23.06690140514805, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2763.787978789513, 'Diesel (Wh/pkm)': 12734.817642636834, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5063.795560427239, 'Unlinked Passenger Trips': 159929, 'Passenger Paid Fares': 341914, 'Average Fare': 2.1379111980941543, 'Average Passengers': 0.9971278987136164}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7522.6938482174455, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7522.6938482174455, 'Unlinked Passenger Trips': 457188, 'Passenger Paid Fares': 178718, 'Average Fare': 0.3909070229314855, 'Average Passengers': 1.105737408178618}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40036, 'Mode': 'MB', 'UACE Code': '86464', 'Gasoline (%)': None, 'Diesel (%)': 83.94385769872152, 'LPG (%)': None, 'CNG (%)': 9.25377646450757, 'Hydrogen (%)': None, 'Electric (%)': 6.802365836770916, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3783.3002755725706, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1442.7981863696652, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 233.43359115010867, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3325.240525498538, 'Unlinked Passenger Trips': 2046582, 'Passenger Paid Fares': 619118, 'Average Fare': 0.3025131658540923, 'Average Passengers': 2.8138707471675035}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 17356.819814985673, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17356.819814985673, 'Unlinked Passenger Trips': 406504, 'Passenger Paid Fares': 1442888, 'Average Fare': 3.5495050479208077, 'Average Passengers': 20.420517972761775}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': None, 'Diesel (%)': 73.44404637373239, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3459.193412245356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940, 'Passenger Paid Fares': 56188, 'Average Fare': 0.7117810995692931, 'Average Passengers': 1.4231005590778962}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 211305.70910883203, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 211305.70910883203, 'Unlinked Passenger Trips': 59778, 'Passenger Paid Fares': 296339, 'Average Fare': 4.957325437451906, 'Average Passengers': 2.133277820733956}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40100, 'Mode': 'MB', 'UACE Code': '85708', 'Gasoline (%)': 93.48060148844382, 'Diesel (%)': 6.519398511556174, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 732.7251893168394, 'Diesel (Wh/pkm)': 3489.3483810895523, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 945.3472680353655, 'Unlinked Passenger Trips': 115689, 'Passenger Paid Fares': 33719, 'Average Fare': 0.2914624553760513, 'Average Passengers': 2.1863376046275547}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': None, 'Diesel (%)': 0.00028177665818518926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21727843.611543547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476, 'Passenger Paid Fares': 59579, 'Average Fare': 1.0188624392913332, 'Average Passengers': 0.9356401384083044}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40141, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 54.43511462753816, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 45.56488537246183, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4809.008695952649, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3252.5933080568802, 'Unlinked Passenger Trips': 2350222, 'Passenger Paid Fares': 1484877, 'Average Fare': 0.6318028679843861, 'Average Passengers': 2.4434001165878994}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1525.1486470734064, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1525.1486470734064, 'Unlinked Passenger Trips': 214101, 'Passenger Paid Fares': 772961, 'Average Fare': 3.61026338036721, 'Average Passengers': 42.13636194792169}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40192, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2720.79752257257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2720.79752257257, 'Unlinked Passenger Trips': 9765, 'Passenger Paid Fares': 6783, 'Average Fare': 0.6946236559139785, 'Average Passengers': 1.1269915498472012}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 10.669544372147847, 'Diesel (%)': 89.33045562785216, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3021.476332814577, 'Diesel (Wh/pkm)': 4095.839954634681, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3981.2102512863703, 'Unlinked Passenger Trips': 80275, 'Passenger Paid Fares': 46523, 'Average Fare': 0.5795453129866085, 'Average Passengers': 1.1195782107750734}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 41105, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.98585414979546, 'Diesel (%)': 0.014145850204530826, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1759.569724223179, 'Diesel (Wh/pkm)': 11936.88439937583, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1761.00939191197, 'Unlinked Passenger Trips': 123863, 'Passenger Paid Fares': 176027, 'Average Fare': 1.4211427141277055, 'Average Passengers': 1.382383093353546}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 44929, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 21660.00533153179, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21660.00533153179, 'Unlinked Passenger Trips': 37582, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.4954720087815587}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50021, 'Mode': 'MB', 'UACE Code': '00766', 'Gasoline (%)': 40.05475163634727, 'Diesel (%)': 51.59781915494999, 'LPG (%)': None, 'CNG (%)': 8.347429208702744, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 532.8473960023601, 'Diesel (Wh/pkm)': 3700.4596646091254, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1567.5984081457043, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2253.6413541130883, 'Unlinked Passenger Trips': 397309, 'Passenger Paid Fares': 94612, 'Average Fare': 0.23813203325371438, 'Average Passengers': 1.4342149276518965}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50034, 'Mode': 'DR', 'UACE Code': '42157', 'Gasoline (%)': 94.53388615662836, 'Diesel (%)': 5.466113843371634, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3242.0806716672637, 'Diesel (Wh/pkm)': 20668.529758953326, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4194.630217635517, 'Unlinked Passenger Trips': 22159, 'Passenger Paid Fares': 47811, 'Average Fare': 2.1576334672142243, 'Average Passengers': 0.5187007350201938}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50036, 'Mode': 'DR', 'UACE Code': '47719', 'Gasoline (%)': 98.82464000283714, 'Diesel (%)': 1.1753599971628599, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3957.5967729762842, 'Diesel (Wh/pkm)': 19351.21602055549, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4138.527215727893, 'Unlinked Passenger Trips': 330925, 'Passenger Paid Fares': 553254, 'Average Fare': 1.6718410515977942, 'Average Passengers': 0.7997057268533304}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': None, 'Diesel (%)': 36.07936141537041, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8456.803151258255, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921, 'Passenger Paid Fares': 203815, 'Average Fare': 5.52030010021397, 'Average Passengers': 0.5198085776593167}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 28.68546115054473, 'Diesel (%)': 71.31453884945526, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 942.6757600962276, 'Diesel (Wh/pkm)': 7012.0548151691955, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5271.02544424694, 'Unlinked Passenger Trips': 493179, 'Passenger Paid Fares': 390902, 'Average Fare': 0.792616879469726, 'Average Passengers': 0.7468000891625348}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 82.77861241189726, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6969.72218622415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803, 'Passenger Paid Fares': 80573, 'Average Fare': 0.5977092497941441, 'Average Passengers': 0.44816871611794257}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': None, 'Diesel (%)': 27.791338938613148, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13519.51375322511, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798, 'Passenger Paid Fares': 24562, 'Average Fare': 1.3800427014271266, 'Average Passengers': 0.6933991025245778}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50092, 'Mode': 'MB', 'UACE Code': '75637', 'Gasoline (%)': 49.02319295788119, 'Diesel (%)': 50.9768070421188, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 46.32582931300053, 'Diesel (Wh/pkm)': 3263.937984670651, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1686.56176911343, 'Unlinked Passenger Trips': 876908, 'Passenger Paid Fares': 375784, 'Average Fare': 0.4285329817951256, 'Average Passengers': 2.2422362887123497}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50146, 'Mode': 'MB', 'UACE Code': '77770', 'Gasoline (%)': 20.422988163264723, 'Diesel (%)': 79.57701183673528, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1244.8213921229055, 'Diesel (Wh/pkm)': 3773.919126117356, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3257.4017952662734, 'Unlinked Passenger Trips': 1747383, 'Passenger Paid Fares': 1880876, 'Average Fare': 1.076395958985523, 'Average Passengers': 2.764952436534818}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50154, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 32.414806485537234, 'Diesel (%)': 67.58519351446277, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1177.8653278230706, 'Diesel (Wh/pkm)': 4200.0602911771, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3220.421642190239, 'Unlinked Passenger Trips': 1058928, 'Passenger Paid Fares': 406290, 'Average Fare': 0.38368047685961654, 'Average Passengers': 1.2829370374336815}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50157, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10528.74251476537, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18766.858178940434, 'Unlinked Passenger Trips': 186122, 'Passenger Paid Fares': 99600, 'Average Fare': 0.5351328698380632, 'Average Passengers': 0.8860927641046455}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50517, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5581.074959737538, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5581.074959737538, 'Unlinked Passenger Trips': 1218, 'Passenger Paid Fares': 623247, 'Average Fare': 511.6970443349754, 'Average Passengers': 0.8612236628849271}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60009, 'Mode': 'DR', 'UACE Code': '47854', 'Gasoline (%)': 65.47313163626464, 'Diesel (%)': 34.52686836373537, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5323.192441916898, 'Diesel (Wh/pkm)': 7665.552681034305, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6131.936078281444, 'Unlinked Passenger Trips': 30752, 'Passenger Paid Fares': 42875, 'Average Fare': 1.394218262226847, 'Average Passengers': 0.6639352316664174}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 77.77752665510246, 'LPG (%)': None, 'CNG (%)': 22.22247334489753, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9589.478401391048, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2346.736779699934, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.962075070941, 'Unlinked Passenger Trips': 16481, 'Passenger Paid Fares': 22468, 'Average Fare': 1.3632667920635884, 'Average Passengers': 0.3906509998125884}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60032, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 33065.19986576219, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33065.19986576219, 'Unlinked Passenger Trips': 400943, 'Passenger Paid Fares': 538854, 'Average Fare': 1.3439665987434624, 'Average Passengers': 13.420270451198288}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 60056, 'Mode': 'CR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1634.9774509458591, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1634.9774509458591, 'Unlinked Passenger Trips': 1266076, 'Passenger Paid Fares': 5572130, 'Average Fare': 4.401102303495209, 'Average Passengers': 43.22318299497995}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 60095, 'Mode': 'CB', 'UACE Code': '90514', 'Gasoline (%)': 75.92350153502224, 'Diesel (%)': 24.076498464977757, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 622.1628282069369, 'Diesel (Wh/pkm)': 3249.059512859338, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1254.627568163824, 'Unlinked Passenger Trips': 67255, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 4.492558962176883}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60103, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 99.7797302679129, 'Diesel (%)': 0.2202697320871049, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1030.9930411062219, 'Diesel (Wh/pkm)': 8100.8680384289, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1046.5658358217179, 'Unlinked Passenger Trips': 85067, 'Passenger Paid Fares': 48977, 'Average Fare': 0.5757461765431954, 'Average Passengers': 1.302051923391409}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60127, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 22848.095831505492, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22848.095831505492, 'Unlinked Passenger Trips': 505664, 'Passenger Paid Fares': 164678, 'Average Fare': 0.3256668459688647, 'Average Passengers': 15.172347575612099}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70019, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9576.261056260882, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9576.261056260882, 'Unlinked Passenger Trips': 6441, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6165709901854448}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70048, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 46.97748973385665, 'Diesel (%)': 53.02251026614334, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1741.7581810828715, 'Diesel (Wh/pkm)': 4418.593155482343, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.083280191547, 'Unlinked Passenger Trips': 524148, 'Passenger Paid Fares': 168166, 'Average Fare': 0.3208368628707922, 'Average Passengers': 1.5599995124220636}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': None, 'Diesel (%)': 63.699014660229224, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8351.579051864566, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914, 'Passenger Paid Fares': 109755, 'Average Fare': 0.7733909268993898, 'Average Passengers': 0.8670546768184839}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 64.09437932682044, 'Diesel (%)': 35.905620673179556, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3013.3717108050423, 'Diesel (Wh/pkm)': 6451.534513832163, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4247.865404986318, 'Unlinked Passenger Trips': 68999, 'Passenger Paid Fares': 20512, 'Average Fare': 0.2972796707198655, 'Average Passengers': 1.184420174396709}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90009, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 99.53255412685141, 'Diesel (%)': 0.4674458731485827, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 38.085109036914474, 'Diesel (Wh/pkm)': 247882.4950628998, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1196.6235751957017, 'Unlinked Passenger Trips': 273568, 'Passenger Paid Fares': 680876, 'Average Fare': 2.4888729675985495, 'Average Passengers': 2.2840531425200106}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90088, 'Mode': 'DR', 'UACE Code': '61057', 'Gasoline (%)': 99.81435430520577, 'Diesel (%)': 0.1856456947942405, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4353.644600064741, 'Diesel (Wh/pkm)': 281185.94356030994, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4867.571844884358, 'Unlinked Passenger Trips': 88486, 'Passenger Paid Fares': 296965, 'Average Fare': 3.356067626517189, 'Average Passengers': 0.8701195852901102}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3249.7198721736077, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3249.7198721736077, 'Unlinked Passenger Trips': 395774, 'Passenger Paid Fares': 387701, 'Average Fare': 0.979601995077999, 'Average Passengers': 1.6788651763425118}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90121, 'Mode': 'MB', 'UACE Code': '67140', 'Gasoline (%)': None, 'Diesel (%)': 25.917087153521734, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 74.08291284647827, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5984.714522628747, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1508.3291986896368, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2668.477884422392, 'Unlinked Passenger Trips': 1702884, 'Passenger Paid Fares': 1859594, 'Average Fare': 1.0920262331433028, 'Average Passengers': 5.120582463857607}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 62.71717450642041, 'LPG (%)': None, 'CNG (%)': 37.282825493579594, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5537.924618430688, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1909.0864672445844, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4184.991223079532, 'Unlinked Passenger Trips': 632664, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.7059468373974226}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90214, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 11060.153356165254, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11060.153356165254, 'Unlinked Passenger Trips': 10317, 'Passenger Paid Fares': 8860, 'Average Fare': 0.8587767761946302, 'Average Passengers': 0.8809211485206239}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 3, 'Mode': 'MB', 'UACE Code': '80389', 'Gasoline (%)': 0.8260317665486375, 'Diesel (%)': 10.772788828122074, 'LPG (%)': None, 'CNG (%)': 88.16744732652332, 'Hydrogen (%)': None, 'Electric (%)': 0.23373207880597208, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 911.6411415214352, 'Diesel (Wh/pkm)': 1343.3333513161679, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 335.1022415653488, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 6831.006830175003, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 463.6622572105935, 'Unlinked Passenger Trips': 4755960, 'Passenger Paid Fares': 4416932, 'Average Fare': 0.9287151279657524, 'Average Passengers': 4.0885655213114225}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 18, 'Mode': 'MB', 'UACE Code': '44479', 'Gasoline (%)': None, 'Diesel (%)': 99.99567446202379, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.004325537976211553, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2362.520628538274, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 8252.014020032631, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2362.77538081153, 'Unlinked Passenger Trips': 1218177, 'Passenger Paid Fares': 126329, 'Average Fare': 0.1037033206176114, 'Average Passengers': 1.7733280452442812}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 20099, 'Mode': 'HR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 255.39624441533817, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 255.39624441533817, 'Unlinked Passenger Trips': 2713941, 'Passenger Paid Fares': 2857140, 'Average Fare': 1.0527642273726658, 'Average Passengers': 30.023995728731904}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 587.3186108816903, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 587.3186108816903, 'Unlinked Passenger Trips': 5572417, 'Passenger Paid Fares': 5063372, 'Average Fare': 0.9086491552947312, 'Average Passengers': 15.000122181969681}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 610.167751960864, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 610.167751960864, 'Unlinked Passenger Trips': 1044002, 'Passenger Paid Fares': 1124608, 'Average Fare': 1.0772086643512178, 'Average Passengers': 9.770272033684503}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 40034, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1611.6859712672479, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1611.6859712672479, 'Unlinked Passenger Trips': 11862059, 'Passenger Paid Fares': 5027198, 'Average Fare': 0.4238048386034836, 'Average Passengers': 46.10462708127583}\n", + "Removing SR outlier: expected (np.float64(-1320.621992382698), np.float64(3314.984859547297)), got {'NTD ID': 50003, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 15841.636594160265, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15841.636594160265, 'Unlinked Passenger Trips': 3845, 'Passenger Paid Fares': 2825, 'Average Fare': 0.7347204161248374, 'Average Passengers': 1.400132421099095}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 379.11957207919994, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 379.11957207919994, 'Unlinked Passenger Trips': 2638201, 'Passenger Paid Fares': 3682948, 'Average Fare': 1.396007355011995, 'Average Passengers': 14.82775063977757}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3060.4790050878587, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3060.4790050878587, 'Unlinked Passenger Trips': 589245, 'Passenger Paid Fares': 1052721, 'Average Fare': 1.786559071354021, 'Average Passengers': 3.6723329060839482}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90032, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.0206692067182273, 'Diesel (%)': 22.711444451132166, 'LPG (%)': None, 'CNG (%)': 74.90089908710604, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.3669872550435685, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 973.2636859763709, 'Diesel (Wh/pkm)': 1790.4100242116274, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.8059303458351, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 24280.550133230525, 'All Fuels (Wh/pkm)': 761.6795402231954, 'Unlinked Passenger Trips': 30330695, 'Passenger Paid Fares': 20498807, 'Average Fare': 0.6758436296959236, 'Average Passengers': 4.0499886036511965}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90136, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.89315644598202, 'Diesel (%)': 19.250863606632613, 'LPG (%)': None, 'CNG (%)': 76.8628843639063, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9930955834790622, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1140.294871715322, 'Diesel (Wh/pkm)': 1521.802485733266, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 534.5818690948446, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5751.980927638325, 'All Fuels (Wh/pkm)': 793.9683479028037, 'Unlinked Passenger Trips': 11137195, 'Passenger Paid Fares': 6442461, 'Average Fare': 0.5784635179683933, 'Average Passengers': 3.223787421165269}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 5, 'Mode': 'DR', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17645.760847043326, 'Unlinked Passenger Trips': 53400, 'Passenger Paid Fares': 70111, 'Average Fare': 1.312940074906367, 'Average Passengers': 0.7042183711736675}\n", + "Removing YR outlier: expected (np.float64(12.264212171699512), np.float64(976.9718941567324)), got {'NTD ID': 8, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1323.574873416663, 'Unlinked Passenger Trips': 272313, 'Passenger Paid Fares': 156108, 'Average Fare': 0.573266792257439, 'Average Passengers': 20.36451736535689}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 43, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 100.0, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9069.534815876887, 'Unlinked Passenger Trips': 40221, 'Passenger Paid Fares': 7170, 'Average Fare': 0.17826508540314762, 'Average Passengers': 0.5703666173199173}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 44, 'Mode': 'MB', 'UACE Code': '60490', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3531.150016351292, 'Unlinked Passenger Trips': 236772, 'Passenger Paid Fares': 160739, 'Average Fare': 0.6788767252884632, 'Average Passengers': 1.3586314517752869}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 10001, 'Mode': 'VP', 'UACE Code': '72505', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1526.0946678745154, 'Unlinked Passenger Trips': 62321, 'Passenger Paid Fares': 376305, 'Average Fare': 6.038173328412574, 'Average Passengers': 5.297639599133372}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 10040, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8301.513151390058, 'Unlinked Passenger Trips': 4617, 'Passenger Paid Fares': 17036, 'Average Fare': 3.689841888672298, 'Average Passengers': 0.2554592143854302}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 10098, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 65.4756174325175, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2666.204879817641, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4336.945728900333, 'Unlinked Passenger Trips': 124721, 'Passenger Paid Fares': 149489, 'Average Fare': 1.1985872467347118, 'Average Passengers': 1.3091002307100743}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 10102, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3399.620010304807, 'Unlinked Passenger Trips': 106733, 'Passenger Paid Fares': 163479, 'Average Fare': 1.5316631219960086, 'Average Passengers': 3.931919618558272}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 10102, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2137.743848328784, 'Unlinked Passenger Trips': 477660, 'Passenger Paid Fares': 1427968, 'Average Fare': 2.989507180839928, 'Average Passengers': 25.666986057685605}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 20018, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7876.2160305723855, 'Unlinked Passenger Trips': 181633, 'Passenger Paid Fares': 416653, 'Average Fare': 2.2939278655310433, 'Average Passengers': 0.7329018611120309}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 20078, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10546.021648304762, 'Unlinked Passenger Trips': 111318, 'Passenger Paid Fares': 197321, 'Average Fare': 1.7725884403241166, 'Average Passengers': 0.47336200596614386}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 20099, 'Mode': 'HR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 255.39624441533817, 'Unlinked Passenger Trips': 2713941, 'Passenger Paid Fares': 2857140, 'Average Fare': 1.0527642273726658, 'Average Passengers': 30.023995728731904}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30022, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 587.3186108816903, 'Unlinked Passenger Trips': 5572417, 'Passenger Paid Fares': 5063372, 'Average Fare': 0.9086491552947312, 'Average Passengers': 15.000122181969681}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30034, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11007.976999736657, 'Unlinked Passenger Trips': 55439277, 'Passenger Paid Fares': 34182621, 'Average Fare': 0.6165776837241221, 'Average Passengers': 7.414316207246466}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30035, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3895.093411922307, 'Unlinked Passenger Trips': 311051, 'Passenger Paid Fares': 275561, 'Average Fare': 0.8859029548209136, 'Average Passengers': 1.4308882719968936}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30083, 'Mode': 'DR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33524.75965809171, 'Unlinked Passenger Trips': 336232, 'Passenger Paid Fares': 643494, 'Average Fare': 1.9138392538485332, 'Average Passengers': 0.8599823028949436}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 30083, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 610.167751960864, 'Unlinked Passenger Trips': 1044002, 'Passenger Paid Fares': 1124608, 'Average Fare': 1.0772086643512178, 'Average Passengers': 9.770272033684503}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 30091, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12385.211920883496, 'Unlinked Passenger Trips': 24724, 'Passenger Paid Fares': 4072, 'Average Fare': 0.16469826888852937, 'Average Passengers': 0.49520330927653583}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 30112, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 13.820366897633814, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1859.2360562676179, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3289.5328411734813, 'Unlinked Passenger Trips': 2005653, 'Passenger Paid Fares': 706000, 'Average Fare': 0.3520050577043985, 'Average Passengers': 1.7572241790348004}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40002, 'Mode': 'DR', 'UACE Code': '45640', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11141.492519300684, 'Unlinked Passenger Trips': 60941, 'Passenger Paid Fares': 124862, 'Average Fare': 2.0488997555012225, 'Average Passengers': 0.8592216378288252}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40015, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7522.6938482174455, 'Unlinked Passenger Trips': 457188, 'Passenger Paid Fares': 178718, 'Average Fare': 0.3909070229314855, 'Average Passengers': 1.105737408178618}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 40032, 'Mode': 'VP', 'UACE Code': '22612', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1716.5528488112682, 'Unlinked Passenger Trips': 14155, 'Passenger Paid Fares': 79518, 'Average Fare': 5.617661603673613, 'Average Passengers': 3.897757821719483}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 40034, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1611.6859712672479, 'Unlinked Passenger Trips': 11862059, 'Passenger Paid Fares': 5027198, 'Average Fare': 0.4238048386034836, 'Average Passengers': 46.10462708127583}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40036, 'Mode': 'MB', 'UACE Code': '86464', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 9.25377646450757, 'Hydrogen (%)': None, 'Electric (%)': 6.802365836770916, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1442.7981863696652, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 233.43359115010867, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3325.240525498538, 'Unlinked Passenger Trips': 2046582, 'Passenger Paid Fares': 619118, 'Average Fare': 0.3025131658540923, 'Average Passengers': 2.8138707471675035}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 40040, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 17356.819814985673, 'Unlinked Passenger Trips': 406504, 'Passenger Paid Fares': 1442888, 'Average Fare': 3.5495050479208077, 'Average Passengers': 20.420517972761775}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40051, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8453.959763227964, 'Unlinked Passenger Trips': 57602, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.7918160423373328}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40053, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9420.739521948457, 'Unlinked Passenger Trips': 7957, 'Passenger Paid Fares': 21195, 'Average Fare': 2.663692346361694, 'Average Passengers': 0.5063387318372955}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40058, 'Mode': 'MB', 'UACE Code': '76204', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4032.795825820867, 'Unlinked Passenger Trips': 78940, 'Passenger Paid Fares': 56188, 'Average Fare': 0.7117810995692931, 'Average Passengers': 1.4231005590778962}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40063, 'Mode': 'DR', 'UACE Code': '67105', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2839.2118982948937, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 45862.40944852857, 'Unlinked Passenger Trips': 112270, 'Passenger Paid Fares': 230979, 'Average Fare': 2.0573528101897214, 'Average Passengers': 1.9541915381961417}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40078, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 211305.70910883203, 'Unlinked Passenger Trips': 59778, 'Passenger Paid Fares': 296339, 'Average Fare': 4.957325437451906, 'Average Passengers': 2.133277820733956}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40082, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9207.553783873936, 'Unlinked Passenger Trips': 21120, 'Passenger Paid Fares': 35870, 'Average Fare': 1.6983901515151516, 'Average Passengers': 0.3770935579586843}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40128, 'Mode': 'MB', 'UACE Code': '61372', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3836.222065962007, 'Unlinked Passenger Trips': 58476, 'Passenger Paid Fares': 59579, 'Average Fare': 1.0188624392913332, 'Average Passengers': 0.9356401384083044}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40141, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 45.56488537246183, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3252.5933080568802, 'Unlinked Passenger Trips': 2350222, 'Passenger Paid Fares': 1484877, 'Average Fare': 0.6318028679843861, 'Average Passengers': 2.4434001165878994}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 40159, 'Mode': 'CR', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1525.1486470734064, 'Unlinked Passenger Trips': 214101, 'Passenger Paid Fares': 772961, 'Average Fare': 3.61026338036721, 'Average Passengers': 42.13636194792169}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40180, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 31.876629018245005, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 494.93159861953836, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8135.611346394638, 'Unlinked Passenger Trips': 9196, 'Passenger Paid Fares': 10518, 'Average Fare': 1.1437581557198782, 'Average Passengers': 0.3413843035041993}\n", + "Removing CB outlier: expected (np.float64(-866.1770796741877), np.float64(2396.7596077778353)), got {'NTD ID': 40192, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2720.79752257257, 'Unlinked Passenger Trips': 9765, 'Passenger Paid Fares': 6783, 'Average Fare': 0.6946236559139785, 'Average Passengers': 1.1269915498472012}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 40192, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 10.669544372147847, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3021.476332814577, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3981.2102512863703, 'Unlinked Passenger Trips': 80275, 'Passenger Paid Fares': 46523, 'Average Fare': 0.5795453129866085, 'Average Passengers': 1.1195782107750734}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 40244, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 8.9486539071879, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8422.659301298758, 'Unlinked Passenger Trips': 91319, 'Passenger Paid Fares': 99294, 'Average Fare': 1.0873312235131791, 'Average Passengers': 0.9077771492759499}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 44929, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 21660.00533153179, 'Unlinked Passenger Trips': 37582, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.4954720087815587}\n", + "Removing SR outlier: expected (np.float64(-1320.621992382698), np.float64(3314.984859547297)), got {'NTD ID': 50003, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15841.636594160265, 'Unlinked Passenger Trips': 3845, 'Passenger Paid Fares': 2825, 'Average Fare': 0.7347204161248374, 'Average Passengers': 1.400132421099095}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50011, 'Mode': 'DR', 'UACE Code': '13375', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1782.458435506402, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7819.471811802534, 'Unlinked Passenger Trips': 92110, 'Passenger Paid Fares': 236310, 'Average Fare': 2.565519487569211, 'Average Passengers': 0.6953825422422218}\n", + "Removing HR outlier: expected (np.float64(-44.104036801821024), np.float64(194.8058170642651)), got {'NTD ID': 50015, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 379.11957207919994, 'Unlinked Passenger Trips': 2638201, 'Passenger Paid Fares': 3682948, 'Average Fare': 1.396007355011995, 'Average Passengers': 14.82775063977757}\n", + "Removing LR outlier: expected (np.float64(6.439888823111659), np.float64(370.45074426442926)), got {'NTD ID': 50015, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3060.4790050878587, 'Unlinked Passenger Trips': 589245, 'Passenger Paid Fares': 1052721, 'Average Fare': 1.786559071354021, 'Average Passengers': 3.6723329060839482}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50039, 'Mode': 'DR', 'UACE Code': '77149', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8769.707575173945, 'Unlinked Passenger Trips': 36921, 'Passenger Paid Fares': 203815, 'Average Fare': 5.52030010021397, 'Average Passengers': 0.5198085776593167}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50040, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2366.1938590928266, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8620.453913897603, 'Unlinked Passenger Trips': 133417, 'Passenger Paid Fares': 402374, 'Average Fare': 3.015912514896902, 'Average Passengers': 1.047266382977202}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 50040, 'Mode': 'VP', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1074.4606930089446, 'Unlinked Passenger Trips': 193599, 'Passenger Paid Fares': 965136, 'Average Fare': 4.985232361737405, 'Average Passengers': 3.7486997777048217}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50045, 'Mode': 'DR', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13126.56335518287, 'Unlinked Passenger Trips': 12554, 'Passenger Paid Fares': 34987, 'Average Fare': 2.786920503425203, 'Average Passengers': 0.5558089404166424}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50045, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 28.68546115054473, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 942.6757600962276, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5271.02544424694, 'Unlinked Passenger Trips': 493179, 'Passenger Paid Fares': 390902, 'Average Fare': 0.792616879469726, 'Average Passengers': 0.7468000891625348}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50053, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12409.10964800133, 'Unlinked Passenger Trips': 134803, 'Passenger Paid Fares': 80573, 'Average Fare': 0.5977092497941441, 'Average Passengers': 0.44816871611794257}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50092, 'Mode': 'DR', 'UACE Code': '75637', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16473.613500466265, 'Unlinked Passenger Trips': 17798, 'Passenger Paid Fares': 24562, 'Average Fare': 1.3800427014271266, 'Average Passengers': 0.6933991025245778}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50146, 'Mode': 'MB', 'UACE Code': '77770', 'Gasoline (%)': 20.422988163264723, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1244.8213921229055, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3257.4017952662734, 'Unlinked Passenger Trips': 1747383, 'Passenger Paid Fares': 1880876, 'Average Fare': 1.076395958985523, 'Average Passengers': 2.764952436534818}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50154, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': 32.414806485537234, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1177.8653278230706, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3220.421642190239, 'Unlinked Passenger Trips': 1058928, 'Passenger Paid Fares': 406290, 'Average Fare': 0.38368047685961654, 'Average Passengers': 1.2829370374336815}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50157, 'Mode': 'DR', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8591.747084484272, 'Unlinked Passenger Trips': 34609, 'Passenger Paid Fares': 82242, 'Average Fare': 2.3763182987084286, 'Average Passengers': 0.7723452752932373}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50157, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18766.858178940434, 'Unlinked Passenger Trips': 186122, 'Passenger Paid Fares': 99600, 'Average Fare': 0.5351328698380632, 'Average Passengers': 0.8860927641046455}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 50184, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 109140.40914656768, 'Unlinked Passenger Trips': 62638, 'Passenger Paid Fares': 71549, 'Average Fare': 1.14226188575625, 'Average Passengers': 0.8337923151492936}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 50517, 'Mode': 'MB', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5581.074959737538, 'Unlinked Passenger Trips': 1218, 'Passenger Paid Fares': 623247, 'Average Fare': 511.6970443349754, 'Average Passengers': 0.8612236628849271}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60008, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8372.893740517704, 'Unlinked Passenger Trips': 1551223, 'Passenger Paid Fares': 1566828, 'Average Fare': 1.0100598044252824, 'Average Passengers': 0.8842663511118426}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60016, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 22.22247334489753, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2346.736779699934, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7979.962075070941, 'Unlinked Passenger Trips': 16481, 'Passenger Paid Fares': 22468, 'Average Fare': 1.3632667920635884, 'Average Passengers': 0.3906509998125884}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60032, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 33065.19986576219, 'Unlinked Passenger Trips': 400943, 'Passenger Paid Fares': 538854, 'Average Fare': 1.3439665987434624, 'Average Passengers': 13.420270451198288}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 60048, 'Mode': 'VP', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2856.4680837232117, 'Unlinked Passenger Trips': 432153, 'Passenger Paid Fares': 1774330, 'Average Fare': 4.105791235974296, 'Average Passengers': 4.590535582557269}\n", + "Removing CR outlier: expected (np.float64(-461.10941332472044), np.float64(1425.4813225540468)), got {'NTD ID': 60056, 'Mode': 'CR', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1634.9774509458591, 'Unlinked Passenger Trips': 1266076, 'Passenger Paid Fares': 5572130, 'Average Fare': 4.401102303495209, 'Average Passengers': 43.22318299497995}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60059, 'Mode': 'MB', 'UACE Code': '18748', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2326.0863485749956, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6920.335142859514, 'Unlinked Passenger Trips': 194839, 'Passenger Paid Fares': 174889, 'Average Fare': 0.8976077684652457, 'Average Passengers': 1.3288629501113771}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60095, 'Mode': 'MB', 'UACE Code': '90514', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6785.42792517164, 'Unlinked Passenger Trips': 168541, 'Passenger Paid Fares': 59748, 'Average Fare': 0.35450127862063235, 'Average Passengers': 0.46399335134012054}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 60111, 'Mode': 'DR', 'UACE Code': '01171', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26004.462728596718, 'Unlinked Passenger Trips': 49900, 'Passenger Paid Fares': 17584, 'Average Fare': 0.35238476953907816, 'Average Passengers': 0.8914041449442963}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 60114, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8065.926553720119, 'Unlinked Passenger Trips': 57709, 'Passenger Paid Fares': 26619, 'Average Fare': 0.46126254137136324, 'Average Passengers': 1.3236131949763401}\n", + "Removing FB outlier: expected (np.float64(-4468.877353737309), np.float64(14292.770342519692)), got {'NTD ID': 60127, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 22848.095831505492, 'Unlinked Passenger Trips': 505664, 'Passenger Paid Fares': 164678, 'Average Fare': 0.3256668459688647, 'Average Passengers': 15.172347575612099}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70019, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9576.261056260882, 'Unlinked Passenger Trips': 6441, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6165709901854448}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 70048, 'Mode': 'DR', 'UACE Code': '48232', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7541.777921860914, 'Unlinked Passenger Trips': 43977, 'Passenger Paid Fares': 80838, 'Average Fare': 1.838188143802442, 'Average Passengers': 0.5893818867874036}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 70048, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 46.97748973385665, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1741.7581810828715, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3161.083280191547, 'Unlinked Passenger Trips': 524148, 'Passenger Paid Fares': 168166, 'Average Fare': 0.3208368628707922, 'Average Passengers': 1.5599995124220636}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80008, 'Mode': 'MB', 'UACE Code': '34219', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6533.26567230395, 'Unlinked Passenger Trips': 141914, 'Passenger Paid Fares': 109755, 'Average Fare': 0.7733909268993898, 'Average Passengers': 0.8670546768184839}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 80025, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 64.09437932682044, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3013.3717108050423, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4247.865404986318, 'Unlinked Passenger Trips': 68999, 'Passenger Paid Fares': 20512, 'Average Fare': 0.2972796707198655, 'Average Passengers': 1.184420174396709}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90019, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 4435.709297994961, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12806.700740895738, 'Unlinked Passenger Trips': 126099, 'Passenger Paid Fares': 600945, 'Average Fare': 4.765660314514786, 'Average Passengers': 0.6336157248277198}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90061, 'Mode': 'DR', 'UACE Code': '97939', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2952.454564240245, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9775.133409426599, 'Unlinked Passenger Trips': 46466, 'Passenger Paid Fares': 10291, 'Average Fare': 0.2214737657642147, 'Average Passengers': 0.9558457949953454}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90092, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3249.7198721736077, 'Unlinked Passenger Trips': 395774, 'Passenger Paid Fares': 387701, 'Average Fare': 0.979601995077999, 'Average Passengers': 1.6788651763425118}\n", + "Removing MB outlier: expected (np.float64(-682.0619064348546), np.float64(3100.7266734367176)), got {'NTD ID': 90131, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 37.282825493579594, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1909.0864672445844, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4184.991223079532, 'Unlinked Passenger Trips': 632664, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.7059468373974226}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90159, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 44815.9029220862, 'Unlinked Passenger Trips': 27815, 'Passenger Paid Fares': 33918, 'Average Fare': 1.2194139852597519, 'Average Passengers': 1.232935957566197}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90196, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8647.54848275411, 'Unlinked Passenger Trips': 24647, 'Passenger Paid Fares': 17939, 'Average Fare': 0.7278370592769912, 'Average Passengers': 0.6826644952723562}\n", + "Removing DR outlier: expected (np.float64(-940.8456200854594), np.float64(7364.4930792388905)), got {'NTD ID': 90214, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11060.153356165254, 'Unlinked Passenger Trips': 10317, 'Passenger Paid Fares': 8860, 'Average Fare': 0.8587767761946302, 'Average Passengers': 0.8809211485206239}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90218, 'Mode': 'VP', 'UACE Code': '75340', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2182.4745517323845, 'Unlinked Passenger Trips': 153432, 'Passenger Paid Fares': 839469, 'Average Fare': 5.471277178163616, 'Average Passengers': 4.291278345206157}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90219, 'Mode': 'VP', 'UACE Code': '29818', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1648.841177655871, 'Unlinked Passenger Trips': 8922, 'Passenger Paid Fares': 46601, 'Average Fare': 5.223156242994844, 'Average Passengers': 4.065503199534613}\n", + "Removing VP outlier: expected (np.float64(-109.83884761292035), np.float64(921.935683469204)), got {'NTD ID': 90233, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1481.1306867436215, 'Unlinked Passenger Trips': 68423, 'Passenger Paid Fares': 398013, 'Average Fare': 5.8169475176475745, 'Average Passengers': 4.846924028680669}\n", "DR desc: count 781.000000\n", "mean 2987.579428\n", "std 1515.739444\n", @@ -14169,15 +13999,6 @@ "50% 3096.676288\n", "75% 5465.869207\n", "max 6255.600180\n", - "dtype: float64\n", - "CC desc: count 2.000000\n", - "mean 358.668947\n", - "std 0.000000\n", - "min 358.668947\n", - "25% 358.668947\n", - "50% 358.668947\n", - "75% 358.668947\n", - "max 358.668947\n", "dtype: float64\n" ] }, @@ -14217,49 +14038,22 @@ " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n" + "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "CC desc: count 2.000000\n", + "mean 358.668947\n", + "std 0.000000\n", + "min 358.668947\n", + "25% 358.668947\n", + "50% 358.668947\n", + "75% 358.668947\n", + "max 358.668947\n", + "dtype: float64\n", "Gasoline desc: count 508.000000\n", "mean 2169.322115\n", "std 1635.912322\n", @@ -14338,130 +14132,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 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"DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.backends.backend_pdf:Assigning font /F1 = '/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'\n", "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", @@ -14567,30 +14238,8 @@ " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7901942244012866 vmax 140.471793607581\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.backends.backend_pdf:Embedding font /Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.\n", + "DEBUG:matplotlib.backends.backend_pdf:Writing TrueType font.\n", "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8169702786773655 vmax 69.76997999520887\n", @@ -14731,28 +14380,18 @@ "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" ] }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "name": "stdout", "output_type": "stream", "text": [ - "Creating ../src/emcommon/resources/ntd2019_intensities.json\n" + "Saved figure as plots/distribution_of_wh_pkm_after_removing_outliers_2020_3.pdf\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -14760,18 +14399,84 @@ "name": "stdout", "output_type": "stream", "text": [ - "dropping 12 rows with missing UACE Code\n" + "dropping 12 rows with missing UACE Code\n", + "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n", + "Index([ 'Agency',\n", + " 'City',\n", + " 'State',\n", + " 'Legacy NTD ID',\n", + " 'NTD ID',\n", + " 'Organization Type',\n", + " 'NTD Reporter Type',\n", + " 'Primary UZA Population',\n", + " 'Agency VOMS',\n", + " 'Mode',\n", + " 'Type of Service',\n", + " 'Mode VOMS',\n", + " 'Mode VOMS Questionable',\n", + " 'Max Trains in Operation',\n", + " 'Max Trains in Operation Questionable',\n", + " 'Average Speed (mi/hr)',\n", + " 'Average Speed (mi/hr) Questionable',\n", + " 'Average Passenger Trip Length (mi)',\n", + " 'Average Passenger Trip Length (mi) Questionable',\n", + " 'Passengers per Hour',\n", + " 'Passengers per Hour Questionable',\n", + " 'Scheduled Vehicle Revenue Miles',\n", + " 'Scheduled Vehicle Revenue Miles Questionable',\n", + " 'Vehicle Miles',\n", + " 'Vehicle Miles Questionable',\n", + " 'Vehicle Revenue Miles',\n", + " 'Vehicle Revenue Miles Questionable',\n", + " 'Deadhead Miles',\n", + " 'Deadhead Miles Questionable',\n", + " 'Vehicle Hours',\n", + " 'Vehicle Hours Questionable',\n", + " 'Vehicle \\nRevenue \\nHours',\n", + " 'Vehicle Revenue Hours Questionable',\n", + " 'Deadhead Hours',\n", + " 'Deadhead Hours Questionable',\n", + " 'Train Miles',\n", + " 'Train Miles Questionable',\n", + " 'Train \\nRevenue\\nMiles',\n", + " 'Train Revenue Miles Questionable',\n", + " 'Train Hours',\n", + " 'Train Hours Questionable',\n", + " 'Train \\nRevenue \\nHours',\n", + " 'Train Revenue Hours Questionable',\n", + " 'Unlinked Passenger Trips',\n", + " 'Unlinked Passenger Trips Questionable',\n", + " 'Passenger Miles',\n", + " 'Passenger Miles Questionable',\n", + " 'Directional Route Miles',\n", + " 'Directional Route Miles Questionable',\n", + " 'Any data questionable',\n", + " 'Unnamed: 50',\n", + " 'Unnamed: 51',\n", + " 'Unnamed: 52',\n", + " 'Unnamed: 53',\n", + " 'Unnamed: 54',\n", + " 'Unnamed: 55',\n", + " 'Unnamed: 56',\n", + " 'Unnamed: 57',\n", + " 'Unnamed: 58',\n", + " 'Unnamed: 59',\n", + " 'Unnamed: 60',\n", + " 'Unnamed: 61',\n", + " 'Unnamed: 62',\n", + " 1],\n", + " dtype='object')\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/2575560671.py:29: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/146710289.py:35: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -14780,188 +14485,188 @@ "output_type": "stream", "text": [ "Removing outliers\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 11.0, 'Mode': 'MB', 'UACE Code': '08785', 'Gasoline (%)': 0.9856837866126754, 'Diesel (%)': 1.5816709027409535, 'LPG (%)': None, 'CNG (%)': 97.43264531064636, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11553.771288058468, 'Diesel (Wh/pkm)': 1381.109784361101, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 273.3689843084738, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 402.0788947934425, 'Unlinked Passenger Trips': 1213678, 'Passenger Paid Fares': 660557, 'Average Fare': 0.5442605040216598}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 9.929117804887099, 'Diesel (%)': 90.0708821951129, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8793.794057396048, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 873.1461714780144, 'Unlinked Passenger Trips': 6214, 'Passenger Paid Fares': 23579, 'Average Fare': 3.794496298680399}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': 27.146143175712456, 'Diesel (%)': 72.85385682428756, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2432.4808558092095, 'Diesel (Wh/pkm)': 3341.7920111535564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679, 'Passenger Paid Fares': 783788, 'Average Fare': 1.2607599741989033}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10053.0, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': 5.959353689070008, 'Diesel (%)': 94.04064631093, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2233.8237540723203, 'Diesel (Wh/pkm)': 1030.175798120172, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1101.9054369866221, 'Unlinked Passenger Trips': 206000, 'Passenger Paid Fares': 158172, 'Average Fare': 0.7678252427184467}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10066.0, 'Mode': 'MB', 'UACE Code': '11755', 'Gasoline (%)': 0.3235318573738532, 'Diesel (%)': 99.67646814262615, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14940.779630756444, 'Diesel (Wh/pkm)': 646.2951657188951, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 692.542376810648, 'Unlinked Passenger Trips': 2443703, 'Passenger Paid Fares': 1122334, 'Average Fare': 0.45927594310765263}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6333.750043467756, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6333.750043467756, 'Unlinked Passenger Trips': 128143, 'Passenger Paid Fares': 242608, 'Average Fare': 1.8932598737348119}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 94.858866117396, 'Diesel (%)': 5.141133882604008, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8160.643827302505, 'Diesel (Wh/pkm)': 4887.374427004995, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7992.360665094902, 'Unlinked Passenger Trips': 186041, 'Passenger Paid Fares': 431265, 'Average Fare': 2.318118049247209}\n", - "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 20113.0, 'Mode': 'VP', 'UACE Code': '75664', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 521.4656079762473, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.4656079762473, 'Unlinked Passenger Trips': 17971, 'Passenger Paid Fares': 42261, 'Average Fare': 2.351622057759724}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': 91.82929891388548, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 8.170701086114509, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9652.189947882762, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 8621.95896013045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854, 'Passenger Paid Fares': 67632, 'Average Fare': 0.46689770389495633}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30035.0, 'Mode': 'DR', 'UACE Code': '94726', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6072.017489318482, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6072.017489318482, 'Unlinked Passenger Trips': 3944, 'Passenger Paid Fares': 10616, 'Average Fare': 2.691683569979716}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30045.0, 'Mode': 'CB', 'UACE Code': '15724', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8536.25163311689, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8536.25163311689, 'Unlinked Passenger Trips': 39953, 'Passenger Paid Fares': 130497, 'Average Fare': 3.2662628588591596}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': 17.503845155572108, 'Diesel (%)': 79.56582641066625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4710.389106400182, 'Diesel (Wh/pkm)': 3187.242739542017, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106, 'Passenger Paid Fares': 548100, 'Average Fare': 0.8405075248502544}\n", - "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1007.2122963409187, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1007.2122963409187, 'Unlinked Passenger Trips': 1449867, 'Passenger Paid Fares': 10246879, 'Average Fare': 7.067461360248906}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30096.0, 'Mode': 'DR', 'UACE Code': '78364', 'Gasoline (%)': 3.8284427757145383, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 96.17155722428546, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 19052.486538707526, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2337.1791175702106, 'Unlinked Passenger Trips': 63716, 'Passenger Paid Fares': 212951, 'Average Fare': 3.342190344654404}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30096.0, 'Mode': 'MB', 'UACE Code': '78364', 'Gasoline (%)': 6.8771737088667395, 'Diesel (%)': 25.294784806379816, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 67.82804148475344, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2224.417423846439, 'Diesel (Wh/pkm)': 590.9389778726799, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 535.2884596446356, 'Unlinked Passenger Trips': 261380, 'Passenger Paid Fares': 260273, 'Average Fare': 0.9957647869002985}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40036.0, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 18.955903560115615, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 81.0440964398844, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13770.92671462685, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1016.9223491184539, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3434.559116697161, 'Unlinked Passenger Trips': 137819, 'Passenger Paid Fares': 273320, 'Average Fare': 1.9831808386361822}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7333.031049556799, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10244.947651837972, 'Unlinked Passenger Trips': 7256, 'Passenger Paid Fares': 19298, 'Average Fare': 2.6595920617420066}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40053.0, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6658.734052852649, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6658.734052852649, 'Unlinked Passenger Trips': 9455, 'Passenger Paid Fares': 26994, 'Average Fare': 2.854997355896351}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40082.0, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7668.126094996984, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7668.126094996984, 'Unlinked Passenger Trips': 13349, 'Passenger Paid Fares': 20679, 'Average Fare': 1.549104801857817}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 90.0188406432108, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 9.981159356789204, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15004.134275678904, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 640.839441983884, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13570.510929442333, 'Unlinked Passenger Trips': 10206, 'Passenger Paid Fares': 14225, 'Average Fare': 1.393787967862042}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40185.0, 'Mode': 'DR', 'UACE Code': '67305', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11738.129822596382, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11799.361993939377, 'Unlinked Passenger Trips': 58150, 'Passenger Paid Fares': 26545, 'Average Fare': 0.45649183147033534}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 5.271884967849729, 'Diesel (%)': 94.72811503215027, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.060931176233, 'Diesel (Wh/pkm)': 2447.139203532212, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775, 'Passenger Paid Fares': 88939, 'Average Fare': 0.9690983383274312}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40244.0, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 39.47957896874991, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 60.52042103125008, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13037.638488143275, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5494.203419667641, 'Unlinked Passenger Trips': 129108, 'Passenger Paid Fares': 126476, 'Average Fare': 0.9796139666016048}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': 67.68999963408832, 'Diesel (%)': 32.31000036591167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5704.132180613385, 'Diesel (Wh/pkm)': 4965.283483415956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531, 'Passenger Paid Fares': 6219, 'Average Fare': 0.3184168757360094}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50001.0, 'Mode': 'MB', 'UACE Code': '02764', 'Gasoline (%)': 6.745649133358089, 'Diesel (%)': 93.25435086664193, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2218.1981618549107, 'Diesel (Wh/pkm)': 1303.6958178278155, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1365.3849372722188, 'Unlinked Passenger Trips': 961978, 'Passenger Paid Fares': 790740, 'Average Fare': 0.8219938501712097}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50031.0, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.12205679488890125, 'Diesel (%)': 24.081514082102434, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 75.79642912300866, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14751.550899819686, 'Diesel (Wh/pkm)': 3764.3632080062866, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3433.9091886797155, 'Unlinked Passenger Trips': 422132, 'Passenger Paid Fares': 949577, 'Average Fare': 2.249478836003904}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 22.26365776025029, 'Diesel (%)': 77.73634223974972, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8719.390209245674, 'Diesel (Wh/pkm)': 3167.84297722233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772, 'Passenger Paid Fares': 94673, 'Average Fare': 0.42882702516623483}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50113.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 0.027770735284214372, 'Diesel (%)': 83.72329176407327, 'LPG (%)': None, 'CNG (%)': 16.24893750064253, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2739.392534539697, 'Diesel (Wh/pkm)': 883.1064492083643, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 258.80592202938647, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 782.1797510257455, 'Unlinked Passenger Trips': 26191884, 'Passenger Paid Fares': 30880427, 'Average Fare': 1.1790074742236947}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 91.12334947913212, 'Diesel (%)': 8.876650520867893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8308.48323637887, 'Diesel (Wh/pkm)': 2653.4088224262428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7806.502043957276, 'Unlinked Passenger Trips': 23561, 'Passenger Paid Fares': 38856, 'Average Fare': 1.6491659946521795}\n", - "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 60017.0, 'Mode': 'VP', 'UACE Code': '65080', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 539.1351405471803, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 539.1351405471803, 'Unlinked Passenger Trips': 4296, 'Passenger Paid Fares': 12106, 'Average Fare': 2.8179702048417132}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 60048.0, 'Mode': 'MB', 'UACE Code': '04384', 'Gasoline (%)': 0.7023319652967583, 'Diesel (%)': 99.29766803470325, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3231.704185450981, 'Diesel (Wh/pkm)': 951.696071848576, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 967.7092976417654, 'Unlinked Passenger Trips': 28313270, 'Passenger Paid Fares': 9728234, 'Average Fare': 0.3435927393762713}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60056.0, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 1.1541697782219738, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 98.84583022177802, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 42493.870450969145, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 708.842356461482, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1191.1125225498506, 'Unlinked Passenger Trips': 415034, 'Passenger Paid Fares': 989079, 'Average Fare': 2.383127647373468}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60101.0, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6071.31704171719, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6071.31704171719, 'Unlinked Passenger Trips': 47871, 'Passenger Paid Fares': 367349, 'Average Fare': 7.673727308809091}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70010.0, 'Mode': 'DR', 'UACE Code': '23743', 'Gasoline (%)': 3.1076517970117923, 'Diesel (%)': 96.89234820298822, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 24691.91474390032, 'Diesel (Wh/pkm)': 3226.3889407541956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3893.462739113697, 'Unlinked Passenger Trips': 97936, 'Passenger Paid Fares': 108193, 'Average Fare': 1.10473166149322}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70014.0, 'Mode': 'DR', 'UACE Code': '88084', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6535.617965724188, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6535.617965724188, 'Unlinked Passenger Trips': 22605, 'Passenger Paid Fares': 87214, 'Average Fare': 3.85817297058173}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70018.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 83.59521477543025, 'Diesel (%)': 16.40478522456975, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6237.871612506946, 'Diesel (Wh/pkm)': 5276.666989890317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6080.188058598052, 'Unlinked Passenger Trips': 96815, 'Passenger Paid Fares': 183102, 'Average Fare': 1.8912565201673295}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70030.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 47.741657696447795, 'Diesel (%)': 52.258342303552205, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7141.667112229983, 'Diesel (Wh/pkm)': 3193.199938060166, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5078.2636206089255, 'Unlinked Passenger Trips': 12156, 'Passenger Paid Fares': 22832, 'Average Fare': 1.8782494241526817}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80003.0, 'Mode': 'MB', 'UACE Code': '29089', 'Gasoline (%)': 0.33409165909801086, 'Diesel (%)': 99.66590834090199, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3629.4482673454118, 'Diesel (Wh/pkm)': 883.1454323866548, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 892.3206010918242, 'Unlinked Passenger Trips': 1343534, 'Passenger Paid Fares': 560802, 'Average Fare': 0.4174081191841814}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90009.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.5502942229311764, 'Diesel (%)': 99.3977588397715, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.05194693729733578, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4226.489928633949, 'Diesel (Wh/pkm)': 1159.8469116722272, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 0.2588571730409972, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1176.3104964473662, 'Unlinked Passenger Trips': 10997736, 'Passenger Paid Fares': 14685349, 'Average Fare': 1.3353065576405907}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90012.0, 'Mode': 'DR', 'UACE Code': '85087', 'Gasoline (%)': 44.414948323572446, 'Diesel (%)': 55.585051676427554, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7917.91137678926, 'Diesel (Wh/pkm)': 3606.1042660012818, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5521.191166069885, 'Unlinked Passenger Trips': 15022, 'Passenger Paid Fares': 34224, 'Average Fare': 2.2782585541206233}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90027.0, 'Mode': 'DR', 'UACE Code': '31843', 'Gasoline (%)': 86.5757621164444, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 13.424237883555598, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15751.737359036046, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3304.7704593811004, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14080.826913138942, 'Unlinked Passenger Trips': 220351, 'Passenger Paid Fares': 326496, 'Average Fare': 1.4817087283470463}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90086.0, 'Mode': 'DR', 'UACE Code': '75340', 'Gasoline (%)': 0.01657348865372403, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.98342651134628, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21099.406649431, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 567.9554782810873, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 571.3582560113828, 'Unlinked Passenger Trips': 139878, 'Passenger Paid Fares': 440478, 'Average Fare': 3.14901557071162}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90119.0, 'Mode': 'MB', 'UACE Code': '57709', 'Gasoline (%)': 0.014052759680946146, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 99.98594724031905, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 48608.3026553361, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1011.7335746930542, 'Unlinked Passenger Trips': 820829, 'Passenger Paid Fares': 3528, 'Average Fare': 0.004298093756434044}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90142.0, 'Mode': 'MB', 'UACE Code': '22420', 'Gasoline (%)': 0.020214771191370447, 'Diesel (%)': 6.422598393785894, 'LPG (%)': None, 'CNG (%)': 93.55718683502273, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3432.669702789639, 'Diesel (Wh/pkm)': 877.1568034775011, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 160.21195751219204, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 206.91996551903281, 'Unlinked Passenger Trips': 3741782, 'Passenger Paid Fares': 231319, 'Average Fare': 0.061820544328878596}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 95.03925005587945, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 4.9607499441205585, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9133.613959575323, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1132.9479870330815, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8736.720926813161, 'Unlinked Passenger Trips': 198289, 'Passenger Paid Fares': 128375, 'Average Fare': 0.6474136235494656}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90205.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 30.16428395702922, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 69.83571604297077, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14649.394759423922, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 163.9930658457157, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4533.4107650129645, 'Unlinked Passenger Trips': 20380, 'Passenger Paid Fares': 112254, 'Average Fare': 5.5080471050049065}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90244.0, 'Mode': 'DR', 'UACE Code': '90946', 'Gasoline (%)': 53.237670465159724, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 46.76232953484028, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9386.457915484474, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 192.78893090597873, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.284128573475, 'Unlinked Passenger Trips': 17690, 'Passenger Paid Fares': 37282, 'Average Fare': 2.10751837196156}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 2.0, 'Mode': 'DR', 'UACE Code': '83764', 'Gasoline (%)': 49.188134725787585, 'Diesel (%)': 49.04057222213926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.7712930520731376, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1661.9492719914615, 'Diesel (Wh/pkm)': 10742.264415441627, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2179.009547177021, 'All Fuels (Wh/pkm)': 6124.14643064238, 'Unlinked Passenger Trips': 441097, 'Passenger Paid Fares': 790908, 'Average Fare': 1.7930477876748199}\n", - "Removing YR outlier: expected (np.float64(23.114891739978077), np.float64(680.7031258505597)), got {'NTD ID': 8.0, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 709.8566605123034, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 709.8566605123034, 'Unlinked Passenger Trips': 374044, 'Passenger Paid Fares': 233262, 'Average Fare': 0.6236218198928468}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': 91.37361543777102, 'Diesel (%)': 8.626384562228987, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2444.547749140535, 'Diesel (Wh/pkm)': 6562.837203222997, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2799.807234835409, 'Unlinked Passenger Trips': 241297, 'Passenger Paid Fares': 402005, 'Average Fare': 1.6660173976468833}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': None, 'Diesel (%)': 72.85385682428756, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3341.7920111535564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679, 'Passenger Paid Fares': 783788, 'Average Fare': 1.2607599741989033}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10066.0, 'Mode': 'DR', 'UACE Code': '11755', 'Gasoline (%)': 98.60028170587177, 'Diesel (%)': 1.399718294128232, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2935.3485325195634, 'Diesel (Wh/pkm)': 48136.88476749949, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3568.042704427579, 'Unlinked Passenger Trips': 158805, 'Passenger Paid Fares': 100135, 'Average Fare': 0.6305531941689494}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 60.00191088888182, 'Diesel (%)': 39.99808911111819, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1186.4923145228674, 'Diesel (Wh/pkm)': 2231.338078527747, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1604.4106542832826, 'Unlinked Passenger Trips': 173342, 'Passenger Paid Fares': 189922, 'Average Fare': 1.095649063700661}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2472.0866431400136, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2472.0866431400136, 'Unlinked Passenger Trips': 161230, 'Passenger Paid Fares': 309273, 'Average Fare': 1.9182100105439435}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20004.0, 'Mode': 'MB', 'UACE Code': '11350', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 46231.844820005506, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50734.52479517615, 'Unlinked Passenger Trips': 19282797, 'Passenger Paid Fares': 16345191, 'Average Fare': 0.847656644417301}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2376.9523157978515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2376.9523157978515, 'Unlinked Passenger Trips': 196886, 'Passenger Paid Fares': 344473, 'Average Fare': 1.7496063711995775}\n", - "Removing CR outlier: expected (np.float64(-422.20243413846475), np.float64(1133.7240994950157)), got {'NTD ID': 20078.0, 'Mode': 'CR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 0.07586870655134739, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 95.49992589329386, 'Other (%)': 4.424205400154778, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18633.183687290115, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 26.56238839817041, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 39.5038166886253, 'Unlinked Passenger Trips': 91433762, 'Passenger Paid Fares': 756678075, 'Average Fare': 8.275696618498536}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2498.395663093816, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2498.395663093816, 'Unlinked Passenger Trips': 406193, 'Passenger Paid Fares': 618186, 'Average Fare': 1.5219021499631948}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30011.0, 'Mode': 'MB', 'UACE Code': '01792', 'Gasoline (%)': None, 'Diesel (%)': 15.653069117094345, 'LPG (%)': None, 'CNG (%)': 84.34693088290565, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3871.814107790777, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 832.6838378506914, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1308.4009995629485, 'Unlinked Passenger Trips': 556182, 'Passenger Paid Fares': 305624, 'Average Fare': 0.5495035797634588}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30015.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': 89.98877583164358, 'LPG (%)': None, 'CNG (%)': 10.011224168356408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2696.0959618617194, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 213.58456168924377, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2447.5661805854497, 'Unlinked Passenger Trips': 1135601, 'Passenger Paid Fares': 1267431, 'Average Fare': 1.116088309186061}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10586.236486927322, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10586.236486927322, 'Unlinked Passenger Trips': 3623587, 'Passenger Paid Fares': 18889000, 'Average Fare': 5.21279053048816}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 30.162221720718446, 'Diesel (%)': 69.83777827928155, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1505.570331275777, 'Diesel (Wh/pkm)': 3015.3805126751436, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2559.9882181994853, 'Unlinked Passenger Trips': 375513, 'Passenger Paid Fares': 395699, 'Average Fare': 1.053755795405219}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 79.56582641066625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3187.242739542017, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106, 'Passenger Paid Fares': 548100, 'Average Fare': 0.8405075248502544}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30081.0, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': 65.80802910074603, 'Diesel (%)': 34.191970899253974, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2008.4793663340251, 'Diesel (Wh/pkm)': 2224.446051443708, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2082.3226324588113, 'Unlinked Passenger Trips': 376033, 'Passenger Paid Fares': 197254, 'Average Fare': 0.5245656631199921}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40002.0, 'Mode': 'MB', 'UACE Code': '45640', 'Gasoline (%)': 17.847959761464946, 'Diesel (%)': 82.15204023853505, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1503.6006255111383, 'Diesel (Wh/pkm)': 2204.265120927597, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2079.2108037227954, 'Unlinked Passenger Trips': 2685291, 'Passenger Paid Fares': 1732725, 'Average Fare': 0.6452652617537541}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40004.0, 'Mode': 'MB', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 51479.82455508889, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53902.27554502195, 'Unlinked Passenger Trips': 9285398, 'Passenger Paid Fares': 4791799, 'Average Fare': 0.5160574700190558}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6937.772352704548, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6937.772352704548, 'Unlinked Passenger Trips': 515344, 'Passenger Paid Fares': 335175, 'Average Fare': 0.6503908069173212}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40018.0, 'Mode': 'MB', 'UACE Code': '51755', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 123842.84324923738, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 125356.78571660868, 'Unlinked Passenger Trips': 10832836, 'Passenger Paid Fares': 8927049, 'Average Fare': 0.8240731236030897}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40031.0, 'Mode': 'DR', 'UACE Code': '46828', 'Gasoline (%)': 97.6634029512307, 'Diesel (%)': 2.336597048769306, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3087.155439880125, 'Diesel (Wh/pkm)': 14745.41449123678, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3359.561976812005, 'Unlinked Passenger Trips': 107741, 'Passenger Paid Fares': 76620, 'Average Fare': 0.7111498872295597}\n", - "Removing RB outlier: expected (np.float64(-547.2494962483245), np.float64(1572.9858573410165)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2765.151247657171, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2765.151247657171, 'Unlinked Passenger Trips': 1040300, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 16085.530906619992, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16085.530906619992, 'Unlinked Passenger Trips': 423806, 'Passenger Paid Fares': 1384078, 'Average Fare': 3.2658291765571983}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40068.0, 'Mode': 'DR', 'UACE Code': '29953', 'Gasoline (%)': 99.34383915797224, 'Diesel (%)': 0.6561608420277609, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1647.81594763092, 'Diesel (Wh/pkm)': 7995.449342435871, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1689.4666323631072, 'Unlinked Passenger Trips': 89614, 'Passenger Paid Fares': 92329, 'Average Fare': 1.030296605441114}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 85.22138919126245, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 14.778610808737566, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2183.2062116477227, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2309.3305799750965, 'Unlinked Passenger Trips': 2654874, 'Passenger Paid Fares': 2019302, 'Average Fare': 0.760601821404707}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2437.492858746562, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2437.492858746562, 'Unlinked Passenger Trips': 9923, 'Passenger Paid Fares': 13638, 'Average Fare': 1.3743827471530787}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 94.72811503215027, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2447.139203532212, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775, 'Passenger Paid Fares': 88939, 'Average Fare': 0.9690983383274312}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 32.31000036591167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4965.283483415956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531, 'Passenger Paid Fares': 6219, 'Average Fare': 0.3184168757360094}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 41105.0, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.9764266703536, 'Diesel (%)': 0.023573329646400056, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2401.182255482736, 'Diesel (Wh/pkm)': 55746.74895131824, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2413.757581771685, 'Unlinked Passenger Trips': 151344, 'Passenger Paid Fares': 201778, 'Average Fare': 1.333240828840258}\n", - "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 41157.14458404882, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 41157.14458404882, 'Unlinked Passenger Trips': 56420, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1965.0538746013897, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1965.0538746013897, 'Unlinked Passenger Trips': 122391, 'Passenger Paid Fares': 1118849, 'Average Fare': 9.14159537874517}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50044.0, 'Mode': 'MB', 'UACE Code': '31087', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 94582.73182578087, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 94582.73182578087, 'Unlinked Passenger Trips': 1600996, 'Passenger Paid Fares': 1105925, 'Average Fare': 0.6907731187335884}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5231.9334826675795, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5636.094673989819, 'Unlinked Passenger Trips': 778430, 'Passenger Paid Fares': 703112, 'Average Fare': 0.9032437084901661}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50053.0, 'Mode': 'DR', 'UACE Code': '87139', 'Gasoline (%)': 86.71368912564532, 'Diesel (%)': 13.286310874354673, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2010.1595703156027, 'Diesel (Wh/pkm)': 15790.746594974746, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3841.0912027227996, 'Unlinked Passenger Trips': 17095, 'Passenger Paid Fares': 28464, 'Average Fare': 1.6650482597250658}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 77.73634223974972, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3167.84297722233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772, 'Passenger Paid Fares': 94673, 'Average Fare': 0.42882702516623483}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50054.0, 'Mode': 'DR', 'UACE Code': '60625', 'Gasoline (%)': None, 'Diesel (%)': 0.668462820831584, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 99.33153717916842, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12743.065351218926, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3727.806650740778, 'Unlinked Passenger Trips': 55889, 'Passenger Paid Fares': 53764, 'Average Fare': 0.9619782068027698}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50154.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 99.9916846514741, 'Diesel (%)': 0.008315348525911115, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2773.9926738601725, 'Diesel (Wh/pkm)': 72345.11674221377, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2779.7777552998505, 'Unlinked Passenger Trips': 2573189, 'Passenger Paid Fares': 7279904, 'Average Fare': 2.8291369192080333}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50198.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 65.66730006803199, 'Diesel (%)': 34.332699931968, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 524.4054886656445, 'Diesel (Wh/pkm)': 8554.707698810718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3281.425050104948, 'Unlinked Passenger Trips': 38897, 'Passenger Paid Fares': 13846, 'Average Fare': 0.3559657557138083}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8775.99673630732, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8775.99673630732, 'Unlinked Passenger Trips': 136312, 'Passenger Paid Fares': 119947, 'Average Fare': 0.8799445389987676}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 89.12820133097621, 'LPG (%)': None, 'CNG (%)': 10.871798669023796, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8513.248214314332, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2029.8726915750021, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7808.388680525343, 'Unlinked Passenger Trips': 22258, 'Passenger Paid Fares': 39982, 'Average Fare': 1.7962979602839428}\n", - "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12556.485470992562, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12556.485470992562, 'Unlinked Passenger Trips': 844949, 'Passenger Paid Fares': 1481659, 'Average Fare': 1.753548439018213}\n", - "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 15622.47773339219, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15622.47773339219, 'Unlinked Passenger Trips': 718059, 'Passenger Paid Fares': 297726, 'Average Fare': 0.41462609618429686}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60130.0, 'Mode': 'DR', 'UACE Code': '78580', 'Gasoline (%)': 99.99597326752982, 'Diesel (%)': 0.00402673247018645, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2908.3129379675506, 'Diesel (Wh/pkm)': 179629.43392982133, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2915.429024728207, 'Unlinked Passenger Trips': 130793, 'Passenger Paid Fares': 271221, 'Average Fare': 2.073666021881905}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70016.0, 'Mode': 'DR', 'UACE Code': '18937', 'Gasoline (%)': 69.7314294405399, 'Diesel (%)': 7.766722434643586, 'LPG (%)': None, 'CNG (%)': 22.501848124816515, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 671.1442212040579, 'Diesel (Wh/pkm)': 28643.514527247415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1134.59085410439, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2947.964638739917, 'Unlinked Passenger Trips': 52868, 'Passenger Paid Fares': 90394, 'Average Fare': 1.7098055534538852}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 70048.0, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 54.54308357591155, 'Diesel (%)': 45.45691642408844, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1111.8317496236916, 'Diesel (Wh/pkm)': 2203.1681704627313, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1607.919634350132, 'Unlinked Passenger Trips': 1108579, 'Passenger Paid Fares': 294781, 'Average Fare': 0.26590887974605326}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 80009.0, 'Mode': 'DR', 'UACE Code': '57736', 'Gasoline (%)': 75.05126230527284, 'Diesel (%)': 24.94873769472717, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2721.4516160450526, 'Diesel (Wh/pkm)': 6263.037128305961, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3605.032495733486, 'Unlinked Passenger Trips': 41918, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 67.25461883453832, 'Diesel (%)': 32.74538116546167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1847.996241252163, 'Diesel (Wh/pkm)': 4124.497446809608, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2593.4452382482787, 'Unlinked Passenger Trips': 110313, 'Passenger Paid Fares': 75595, 'Average Fare': 0.6852773471848286}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90009.0, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 98.6286862171691, 'Diesel (%)': 1.3713137828309054, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1640.329318768034, 'Diesel (Wh/pkm)': 13254.754818515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1799.5995364426917, 'Unlinked Passenger Trips': 225135, 'Passenger Paid Fares': 593746, 'Average Fare': 2.6372887378683902}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90087.0, 'Mode': 'MB', 'UACE Code': '79417', 'Gasoline (%)': 7.044213979882271, 'Diesel (%)': 92.95578602011773, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1230.36487226712, 'Diesel (Wh/pkm)': 2170.4539751732123, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2104.2320871629513, 'Unlinked Passenger Trips': 663526, 'Passenger Paid Fares': 749447, 'Average Fare': 1.1294915346195928}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 60.18836802839378, 'LPG (%)': None, 'CNG (%)': 39.811631971606225, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6190.74474931405, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1924.9165932533485, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4492.448943282007, 'Unlinked Passenger Trips': 771520, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90159.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3465.4134836949816, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.649109359535, 'Unlinked Passenger Trips': 811886, 'Passenger Paid Fares': 836900, 'Average Fare': 1.0308097442251745}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 8.170701086114509, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 8621.95896013045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854, 'Passenger Paid Fares': 67632, 'Average Fare': 0.46689770389495633}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6654.6079432359065, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8056.946538959973, 'Unlinked Passenger Trips': 98590, 'Passenger Paid Fares': 1128070, 'Average Fare': 11.442032660513236}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2986.6320228345216, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5040.656541940525, 'Unlinked Passenger Trips': 1442723, 'Passenger Paid Fares': 1983377, 'Average Fare': 1.3747455332728458}\n", - "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 53.03688894372484, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53.03688894372484, 'Unlinked Passenger Trips': 1939224, 'Passenger Paid Fares': 4151874, 'Average Fare': 2.140997636167869}\n", - "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 454.593457626446, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 454.593457626446, 'Unlinked Passenger Trips': 7162790, 'Passenger Paid Fares': 6398343, 'Average Fare': 0.8932752460982383}\n", - "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 199.9001689377636, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 199.9001689377636, 'Unlinked Passenger Trips': 7275335, 'Passenger Paid Fares': 10449300, 'Average Fare': 1.4362637596756713}\n", - "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 451.366799194593, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 451.366799194593, 'Unlinked Passenger Trips': 1428956, 'Passenger Paid Fares': 1581495, 'Average Fare': 1.1067485632867633}\n", - "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 40034.0, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 164.68347309474024, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 164.68347309474024, 'Unlinked Passenger Trips': 18494501, 'Passenger Paid Fares': 10326464, 'Average Fare': 0.5583532099622477}\n", - "Removing SR outlier: expected (np.float64(-764.000169778611), np.float64(2093.351822887108)), got {'NTD ID': 50003.0, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2161.9369327411578, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2161.9369327411578, 'Unlinked Passenger Trips': 36658, 'Passenger Paid Fares': 23146, 'Average Fare': 0.6314037863495008}\n", - "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 192.34584305205686, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192.34584305205686, 'Unlinked Passenger Trips': 5666706, 'Passenger Paid Fares': 7377403, 'Average Fare': 1.301885610441057}\n", - "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 936.5662710336559, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 936.5662710336559, 'Unlinked Passenger Trips': 1484863, 'Passenger Paid Fares': 2549863, 'Average Fare': 1.7172378865929045}\n", - "Removing TB outlier: expected (np.float64(269.0790585103246), np.float64(456.66907892177966)), got {'NTD ID': 50017.0, 'Mode': 'TB', 'UACE Code': '22528', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 521.3394053477258, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.3394053477258, 'Unlinked Passenger Trips': 2047285, 'Passenger Paid Fares': 1132575, 'Average Fare': 0.5532082733962297}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90001.0, 'Mode': 'MB', 'UACE Code': '74179', 'Gasoline (%)': None, 'Diesel (%)': 89.62849518658918, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 10.37150481341083, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 780.7905604785835, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2265.2360511620504, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 934.7498959972793, 'Unlinked Passenger Trips': 7166712, 'Passenger Paid Fares': 5042285, 'Average Fare': 0.703570200672219}\n", - "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1570.7859376694457, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1570.7859376694457, 'Unlinked Passenger Trips': 886515, 'Passenger Paid Fares': 5038104, 'Average Fare': 5.683044280130624}\n", - "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': 99.35589780504873, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.6441021949512638, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 358.1649880520731, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 23.264341946529402, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 356.00788563960134, 'Unlinked Passenger Trips': 572713, 'Passenger Paid Fares': 2900698, 'Average Fare': 5.064837012604917}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90032.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1231744814605698, 'Diesel (%)': 25.674075034796246, 'LPG (%)': None, 'CNG (%)': 71.47976299908333, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.7229874846598398, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 748.3525976602164, 'Diesel (Wh/pkm)': 1474.6729769071815, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 272.69022004096826, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 12799.499257013123, 'All Fuels (Wh/pkm)': 681.9545787281794, 'Unlinked Passenger Trips': 40696303, 'Passenger Paid Fares': 27492333, 'Average Fare': 0.6755486610171936}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90136.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1327277408057967, 'Diesel (%)': 17.75382571096142, 'LPG (%)': None, 'CNG (%)': 79.13650223860375, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9769443096290263, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1007.287841469384, 'Diesel (Wh/pkm)': 1284.06344497336, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 347.58404218267106, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5238.045114727647, 'All Fuels (Wh/pkm)': 575.6917302705706, 'Unlinked Passenger Trips': 13875664, 'Passenger Paid Fares': 9100598, 'Average Fare': 0.6558675678511673}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 2.0, 'Mode': 'DR', 'UACE Code': '83764', 'Gasoline (%)': 49.188134725787585, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.7712930520731376, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1661.9492719914615, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2179.009547177021, 'All Fuels (Wh/pkm)': 6124.14643064238, 'Unlinked Passenger Trips': 441097, 'Passenger Paid Fares': 790908, 'Average Fare': 1.7930477876748199}\n", - "Removing YR outlier: expected (np.float64(23.114891739978077), np.float64(680.7031258505597)), got {'NTD ID': 8.0, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 709.8566605123034, 'Unlinked Passenger Trips': 374044, 'Passenger Paid Fares': 233262, 'Average Fare': 0.6236218198928468}\n", - "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53.03688894372484, 'Unlinked Passenger Trips': 1939224, 'Passenger Paid Fares': 4151874, 'Average Fare': 2.140997636167869}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10042.0, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4090.3756536271176, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26905.588129945943, 'Unlinked Passenger Trips': 48529, 'Passenger Paid Fares': 66377, 'Average Fare': 1.3677800902553112}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679, 'Passenger Paid Fares': 783788, 'Average Fare': 1.2607599741989033}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2472.0866431400136, 'Unlinked Passenger Trips': 161230, 'Passenger Paid Fares': 309273, 'Average Fare': 1.9182100105439435}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6333.750043467756, 'Unlinked Passenger Trips': 128143, 'Passenger Paid Fares': 242608, 'Average Fare': 1.8932598737348119}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20004.0, 'Mode': 'MB', 'UACE Code': '11350', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50734.52479517615, 'Unlinked Passenger Trips': 19282797, 'Passenger Paid Fares': 16345191, 'Average Fare': 0.847656644417301}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2376.9523157978515, 'Unlinked Passenger Trips': 196886, 'Passenger Paid Fares': 344473, 'Average Fare': 1.7496063711995775}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': 5.141133882604008, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4887.374427004995, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7992.360665094902, 'Unlinked Passenger Trips': 186041, 'Passenger Paid Fares': 431265, 'Average Fare': 2.318118049247209}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2498.395663093816, 'Unlinked Passenger Trips': 406193, 'Passenger Paid Fares': 618186, 'Average Fare': 1.5219021499631948}\n", - "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 20113.0, 'Mode': 'VP', 'UACE Code': '75664', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.4656079762473, 'Unlinked Passenger Trips': 17971, 'Passenger Paid Fares': 42261, 'Average Fare': 2.351622057759724}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30015.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 10.011224168356408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 213.58456168924377, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2447.5661805854497, 'Unlinked Passenger Trips': 1135601, 'Passenger Paid Fares': 1267431, 'Average Fare': 1.116088309186061}\n", - "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 454.593457626446, 'Unlinked Passenger Trips': 7162790, 'Passenger Paid Fares': 6398343, 'Average Fare': 0.8932752460982383}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854, 'Passenger Paid Fares': 67632, 'Average Fare': 0.46689770389495633}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10586.236486927322, 'Unlinked Passenger Trips': 3623587, 'Passenger Paid Fares': 18889000, 'Average Fare': 5.21279053048816}\n", - "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 199.9001689377636, 'Unlinked Passenger Trips': 7275335, 'Passenger Paid Fares': 10449300, 'Average Fare': 1.4362637596756713}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30035.0, 'Mode': 'DR', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6072.017489318482, 'Unlinked Passenger Trips': 3944, 'Passenger Paid Fares': 10616, 'Average Fare': 2.691683569979716}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 30.162221720718446, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1505.570331275777, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2559.9882181994853, 'Unlinked Passenger Trips': 375513, 'Passenger Paid Fares': 395699, 'Average Fare': 1.053755795405219}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30045.0, 'Mode': 'CB', 'UACE Code': '15724', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8536.25163311689, 'Unlinked Passenger Trips': 39953, 'Passenger Paid Fares': 130497, 'Average Fare': 3.2662628588591596}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106, 'Passenger Paid Fares': 548100, 'Average Fare': 0.8405075248502544}\n", - "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1007.2122963409187, 'Unlinked Passenger Trips': 1449867, 'Passenger Paid Fares': 10246879, 'Average Fare': 7.067461360248906}\n", - "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 451.366799194593, 'Unlinked Passenger Trips': 1428956, 'Passenger Paid Fares': 1581495, 'Average Fare': 1.1067485632867633}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40004.0, 'Mode': 'MB', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53902.27554502195, 'Unlinked Passenger Trips': 9285398, 'Passenger Paid Fares': 4791799, 'Average Fare': 0.5160574700190558}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6937.772352704548, 'Unlinked Passenger Trips': 515344, 'Passenger Paid Fares': 335175, 'Average Fare': 0.6503908069173212}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40018.0, 'Mode': 'MB', 'UACE Code': '51755', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 125356.78571660868, 'Unlinked Passenger Trips': 10832836, 'Passenger Paid Fares': 8927049, 'Average Fare': 0.8240731236030897}\n", - "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 40034.0, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 164.68347309474024, 'Unlinked Passenger Trips': 18494501, 'Passenger Paid Fares': 10326464, 'Average Fare': 0.5583532099622477}\n", - "Removing RB outlier: expected (np.float64(-547.2494962483245), np.float64(1572.9858573410165)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2765.151247657171, 'Unlinked Passenger Trips': 1040300, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16085.530906619992, 'Unlinked Passenger Trips': 423806, 'Passenger Paid Fares': 1384078, 'Average Fare': 3.2658291765571983}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10244.947651837972, 'Unlinked Passenger Trips': 7256, 'Passenger Paid Fares': 19298, 'Average Fare': 2.6595920617420066}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40053.0, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6658.734052852649, 'Unlinked Passenger Trips': 9455, 'Passenger Paid Fares': 26994, 'Average Fare': 2.854997355896351}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40082.0, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7668.126094996984, 'Unlinked Passenger Trips': 13349, 'Passenger Paid Fares': 20679, 'Average Fare': 1.549104801857817}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 14.778610808737566, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2309.3305799750965, 'Unlinked Passenger Trips': 2654874, 'Passenger Paid Fares': 2019302, 'Average Fare': 0.760601821404707}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 9.981159356789204, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 640.839441983884, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13570.510929442333, 'Unlinked Passenger Trips': 10206, 'Passenger Paid Fares': 14225, 'Average Fare': 1.393787967862042}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40185.0, 'Mode': 'DR', 'UACE Code': '67305', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11799.361993939377, 'Unlinked Passenger Trips': 58150, 'Passenger Paid Fares': 26545, 'Average Fare': 0.45649183147033534}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2437.492858746562, 'Unlinked Passenger Trips': 9923, 'Passenger Paid Fares': 13638, 'Average Fare': 1.3743827471530787}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775, 'Passenger Paid Fares': 88939, 'Average Fare': 0.9690983383274312}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531, 'Passenger Paid Fares': 6219, 'Average Fare': 0.3184168757360094}\n", - "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 41157.14458404882, 'Unlinked Passenger Trips': 56420, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing SR outlier: expected (np.float64(-764.000169778611), np.float64(2093.351822887108)), got {'NTD ID': 50003.0, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2161.9369327411578, 'Unlinked Passenger Trips': 36658, 'Passenger Paid Fares': 23146, 'Average Fare': 0.6314037863495008}\n", - "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192.34584305205686, 'Unlinked Passenger Trips': 5666706, 'Passenger Paid Fares': 7377403, 'Average Fare': 1.301885610441057}\n", - "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 936.5662710336559, 'Unlinked Passenger Trips': 1484863, 'Passenger Paid Fares': 2549863, 'Average Fare': 1.7172378865929045}\n", - "Removing TB outlier: expected (np.float64(269.0790585103246), np.float64(456.66907892177966)), got {'NTD ID': 50017.0, 'Mode': 'TB', 'UACE Code': '22528', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.3394053477258, 'Unlinked Passenger Trips': 2047285, 'Passenger Paid Fares': 1132575, 'Average Fare': 0.5532082733962297}\n", - "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1965.0538746013897, 'Unlinked Passenger Trips': 122391, 'Passenger Paid Fares': 1118849, 'Average Fare': 9.14159537874517}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50040.0, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2693.288935398943, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10541.584630438749, 'Unlinked Passenger Trips': 184393, 'Passenger Paid Fares': 712165, 'Average Fare': 3.862212773803778}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50044.0, 'Mode': 'MB', 'UACE Code': '31087', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 94582.73182578087, 'Unlinked Passenger Trips': 1600996, 'Passenger Paid Fares': 1105925, 'Average Fare': 0.6907731187335884}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5636.094673989819, 'Unlinked Passenger Trips': 778430, 'Passenger Paid Fares': 703112, 'Average Fare': 0.9032437084901661}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772, 'Passenger Paid Fares': 94673, 'Average Fare': 0.42882702516623483}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50198.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 65.66730006803199, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 524.4054886656445, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3281.425050104948, 'Unlinked Passenger Trips': 38897, 'Passenger Paid Fares': 13846, 'Average Fare': 0.3559657557138083}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': None, 'Diesel (%)': 8.876650520867893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2653.4088224262428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7806.502043957276, 'Unlinked Passenger Trips': 23561, 'Passenger Paid Fares': 38856, 'Average Fare': 1.6491659946521795}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8775.99673630732, 'Unlinked Passenger Trips': 136312, 'Passenger Paid Fares': 119947, 'Average Fare': 0.8799445389987676}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 10.871798669023796, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2029.8726915750021, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7808.388680525343, 'Unlinked Passenger Trips': 22258, 'Passenger Paid Fares': 39982, 'Average Fare': 1.7962979602839428}\n", - "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 60017.0, 'Mode': 'VP', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 539.1351405471803, 'Unlinked Passenger Trips': 4296, 'Passenger Paid Fares': 12106, 'Average Fare': 2.8179702048417132}\n", - "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12556.485470992562, 'Unlinked Passenger Trips': 844949, 'Passenger Paid Fares': 1481659, 'Average Fare': 1.753548439018213}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60101.0, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6071.31704171719, 'Unlinked Passenger Trips': 47871, 'Passenger Paid Fares': 367349, 'Average Fare': 7.673727308809091}\n", - "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15622.47773339219, 'Unlinked Passenger Trips': 718059, 'Passenger Paid Fares': 297726, 'Average Fare': 0.41462609618429686}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70014.0, 'Mode': 'DR', 'UACE Code': '88084', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6535.617965724188, 'Unlinked Passenger Trips': 22605, 'Passenger Paid Fares': 87214, 'Average Fare': 3.85817297058173}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70018.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 16.40478522456975, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5276.666989890317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6080.188058598052, 'Unlinked Passenger Trips': 96815, 'Passenger Paid Fares': 183102, 'Average Fare': 1.8912565201673295}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 67.25461883453832, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1847.996241252163, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2593.4452382482787, 'Unlinked Passenger Trips': 110313, 'Passenger Paid Fares': 75595, 'Average Fare': 0.6852773471848286}\n", - "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1570.7859376694457, 'Unlinked Passenger Trips': 886515, 'Passenger Paid Fares': 5038104, 'Average Fare': 5.683044280130624}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8056.946538959973, 'Unlinked Passenger Trips': 98590, 'Passenger Paid Fares': 1128070, 'Average Fare': 11.442032660513236}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90027.0, 'Mode': 'DR', 'UACE Code': '31843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 13.424237883555598, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3304.7704593811004, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14080.826913138942, 'Unlinked Passenger Trips': 220351, 'Passenger Paid Fares': 326496, 'Average Fare': 1.4817087283470463}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 39.811631971606225, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1924.9165932533485, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4492.448943282007, 'Unlinked Passenger Trips': 771520, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 4.9607499441205585, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1132.9479870330815, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8736.720926813161, 'Unlinked Passenger Trips': 198289, 'Passenger Paid Fares': 128375, 'Average Fare': 0.6474136235494656}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5040.656541940525, 'Unlinked Passenger Trips': 1442723, 'Passenger Paid Fares': 1983377, 'Average Fare': 1.3747455332728458}\n", - "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90159.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.649109359535, 'Unlinked Passenger Trips': 811886, 'Passenger Paid Fares': 836900, 'Average Fare': 1.0308097442251745}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 11.0, 'Mode': 'MB', 'UACE Code': '08785', 'Gasoline (%)': 0.9856837866126754, 'Diesel (%)': 1.5816709027409535, 'LPG (%)': None, 'CNG (%)': 97.43264531064636, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11553.771288058468, 'Diesel (Wh/pkm)': 1381.109784361101, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 273.3689843084738, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 402.0788947934425, 'Unlinked Passenger Trips': 1213678, 'Passenger Paid Fares': 660557, 'Average Fare': 0.5442605040216598, 'Average Passengers': 4.144525735848368}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 9.929117804887099, 'Diesel (%)': 90.0708821951129, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8793.794057396048, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 873.1461714780144, 'Unlinked Passenger Trips': 6214, 'Passenger Paid Fares': 23579, 'Average Fare': 3.794496298680399, 'Average Passengers': 0.27623629016740425}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': 27.146143175712456, 'Diesel (%)': 72.85385682428756, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2432.4808558092095, 'Diesel (Wh/pkm)': 3341.7920111535564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679, 'Passenger Paid Fares': 783788, 'Average Fare': 1.2607599741989033, 'Average Passengers': 3.559537432081177}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10053.0, 'Mode': 'MB', 'UACE Code': '09271', 'Gasoline (%)': 5.959353689070008, 'Diesel (%)': 94.04064631093, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2233.8237540723203, 'Diesel (Wh/pkm)': 1030.175798120172, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1101.9054369866221, 'Unlinked Passenger Trips': 206000, 'Passenger Paid Fares': 158172, 'Average Fare': 0.7678252427184467, 'Average Passengers': 3.3856844287219374}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10066.0, 'Mode': 'MB', 'UACE Code': '11755', 'Gasoline (%)': 0.3235318573738532, 'Diesel (%)': 99.67646814262615, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14940.779630756444, 'Diesel (Wh/pkm)': 646.2951657188951, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 692.542376810648, 'Unlinked Passenger Trips': 2443703, 'Passenger Paid Fares': 1122334, 'Average Fare': 0.45927594310765263, 'Average Passengers': 3.7970333433100576}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6333.750043467756, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6333.750043467756, 'Unlinked Passenger Trips': 128143, 'Passenger Paid Fares': 242608, 'Average Fare': 1.8932598737348119, 'Average Passengers': 0.9109738237522094}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 94.858866117396, 'Diesel (%)': 5.141133882604008, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8160.643827302505, 'Diesel (Wh/pkm)': 4887.374427004995, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7992.360665094902, 'Unlinked Passenger Trips': 186041, 'Passenger Paid Fares': 431265, 'Average Fare': 2.318118049247209, 'Average Passengers': 0.7220413796738246}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 20113.0, 'Mode': 'VP', 'UACE Code': '75664', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 521.4656079762473, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.4656079762473, 'Unlinked Passenger Trips': 17971, 'Passenger Paid Fares': 42261, 'Average Fare': 2.351622057759724, 'Average Passengers': 6.593063400470899}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': 91.82929891388548, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 8.170701086114509, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9652.189947882762, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 8621.95896013045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854, 'Passenger Paid Fares': 67632, 'Average Fare': 0.46689770389495633, 'Average Passengers': 1.1623749133003982}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30035.0, 'Mode': 'DR', 'UACE Code': '94726', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6072.017489318482, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6072.017489318482, 'Unlinked Passenger Trips': 3944, 'Passenger Paid Fares': 10616, 'Average Fare': 2.691683569979716, 'Average Passengers': 0.46701484993621983}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30045.0, 'Mode': 'CB', 'UACE Code': '15724', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8536.25163311689, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8536.25163311689, 'Unlinked Passenger Trips': 39953, 'Passenger Paid Fares': 130497, 'Average Fare': 3.2662628588591596, 'Average Passengers': 3.850123870627269}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': 17.503845155572108, 'Diesel (%)': 79.56582641066625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4710.389106400182, 'Diesel (Wh/pkm)': 3187.242739542017, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106, 'Passenger Paid Fares': 548100, 'Average Fare': 0.8405075248502544, 'Average Passengers': 2.2871443073919377}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1007.2122963409187, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1007.2122963409187, 'Unlinked Passenger Trips': 1449867, 'Passenger Paid Fares': 10246879, 'Average Fare': 7.067461360248906, 'Average Passengers': 5.775374250050228}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30096.0, 'Mode': 'DR', 'UACE Code': '78364', 'Gasoline (%)': 3.8284427757145383, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 96.17155722428546, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 19052.486538707526, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2337.1791175702106, 'Unlinked Passenger Trips': 63716, 'Passenger Paid Fares': 212951, 'Average Fare': 3.342190344654404, 'Average Passengers': 0.9241990906550214}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30096.0, 'Mode': 'MB', 'UACE Code': '78364', 'Gasoline (%)': 6.8771737088667395, 'Diesel (%)': 25.294784806379816, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 67.82804148475344, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2224.417423846439, 'Diesel (Wh/pkm)': 590.9389778726799, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 535.2884596446356, 'Unlinked Passenger Trips': 261380, 'Passenger Paid Fares': 260273, 'Average Fare': 0.9957647869002985, 'Average Passengers': 5.216582876822301}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40036.0, 'Mode': 'DR', 'UACE Code': '86464', 'Gasoline (%)': 18.955903560115615, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 81.0440964398844, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13770.92671462685, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1016.9223491184539, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3434.559116697161, 'Unlinked Passenger Trips': 137819, 'Passenger Paid Fares': 273320, 'Average Fare': 1.9831808386361822, 'Average Passengers': 0.9808557652432798}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7333.031049556799, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10244.947651837972, 'Unlinked Passenger Trips': 7256, 'Passenger Paid Fares': 19298, 'Average Fare': 2.6595920617420066, 'Average Passengers': 0.5665410700828938}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40053.0, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6658.734052852649, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6658.734052852649, 'Unlinked Passenger Trips': 9455, 'Passenger Paid Fares': 26994, 'Average Fare': 2.854997355896351, 'Average Passengers': 0.5003525421144904}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40082.0, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7668.126094996984, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7668.126094996984, 'Unlinked Passenger Trips': 13349, 'Passenger Paid Fares': 20679, 'Average Fare': 1.549104801857817, 'Average Passengers': 0.42741271728349034}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 90.0188406432108, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 9.981159356789204, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15004.134275678904, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 640.839441983884, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13570.510929442333, 'Unlinked Passenger Trips': 10206, 'Passenger Paid Fares': 14225, 'Average Fare': 1.393787967862042, 'Average Passengers': 0.2558129341894764}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40185.0, 'Mode': 'DR', 'UACE Code': '67305', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11738.129822596382, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11799.361993939377, 'Unlinked Passenger Trips': 58150, 'Passenger Paid Fares': 26545, 'Average Fare': 0.45649183147033534, 'Average Passengers': 1.931648540354894}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 5.271884967849729, 'Diesel (%)': 94.72811503215027, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.060931176233, 'Diesel (Wh/pkm)': 2447.139203532212, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775, 'Passenger Paid Fares': 88939, 'Average Fare': 0.9690983383274312, 'Average Passengers': 1.5892833508109263}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40244.0, 'Mode': 'DR', 'UACE Code': '83548', 'Gasoline (%)': 39.47957896874991, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 60.52042103125008, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13037.638488143275, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5494.203419667641, 'Unlinked Passenger Trips': 129108, 'Passenger Paid Fares': 126476, 'Average Fare': 0.9796139666016048, 'Average Passengers': 1.146264628598205}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': 67.68999963408832, 'Diesel (%)': 32.31000036591167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5704.132180613385, 'Diesel (Wh/pkm)': 4965.283483415956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531, 'Passenger Paid Fares': 6219, 'Average Fare': 0.3184168757360094, 'Average Passengers': 1.0509777132610367}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50001.0, 'Mode': 'MB', 'UACE Code': '02764', 'Gasoline (%)': 6.745649133358089, 'Diesel (%)': 93.25435086664193, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2218.1981618549107, 'Diesel (Wh/pkm)': 1303.6958178278155, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1365.3849372722188, 'Unlinked Passenger Trips': 961978, 'Passenger Paid Fares': 790740, 'Average Fare': 0.8219938501712097, 'Average Passengers': 3.885754689278925}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50031.0, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.12205679488890125, 'Diesel (%)': 24.081514082102434, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 75.79642912300866, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14751.550899819686, 'Diesel (Wh/pkm)': 3764.3632080062866, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3433.9091886797155, 'Unlinked Passenger Trips': 422132, 'Passenger Paid Fares': 949577, 'Average Fare': 2.249478836003904, 'Average Passengers': 0.7504441967318973}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 22.26365776025029, 'Diesel (%)': 77.73634223974972, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8719.390209245674, 'Diesel (Wh/pkm)': 3167.84297722233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772, 'Passenger Paid Fares': 94673, 'Average Fare': 0.42882702516623483, 'Average Passengers': 0.997317694449381}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50113.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': 0.027770735284214372, 'Diesel (%)': 83.72329176407327, 'LPG (%)': None, 'CNG (%)': 16.24893750064253, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2739.392534539697, 'Diesel (Wh/pkm)': 883.1064492083643, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 258.80592202938647, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 782.1797510257455, 'Unlinked Passenger Trips': 26191884, 'Passenger Paid Fares': 30880427, 'Average Fare': 1.1790074742236947, 'Average Passengers': 5.49572441286821}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 91.12334947913212, 'Diesel (%)': 8.876650520867893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8308.48323637887, 'Diesel (Wh/pkm)': 2653.4088224262428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7806.502043957276, 'Unlinked Passenger Trips': 23561, 'Passenger Paid Fares': 38856, 'Average Fare': 1.6491659946521795, 'Average Passengers': 0.5787042504445472}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 60017.0, 'Mode': 'VP', 'UACE Code': '65080', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 539.1351405471803, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 539.1351405471803, 'Unlinked Passenger Trips': 4296, 'Passenger Paid Fares': 12106, 'Average Fare': 2.8179702048417132, 'Average Passengers': 4.230403645833333}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 60048.0, 'Mode': 'MB', 'UACE Code': '04384', 'Gasoline (%)': 0.7023319652967583, 'Diesel (%)': 99.29766803470325, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3231.704185450981, 'Diesel (Wh/pkm)': 951.696071848576, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 967.7092976417654, 'Unlinked Passenger Trips': 28313270, 'Passenger Paid Fares': 9728234, 'Average Fare': 0.3435927393762713, 'Average Passengers': 6.537654781213977}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60056.0, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 1.1541697782219738, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 98.84583022177802, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 42493.870450969145, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 708.842356461482, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1191.1125225498506, 'Unlinked Passenger Trips': 415034, 'Passenger Paid Fares': 989079, 'Average Fare': 2.383127647373468, 'Average Passengers': 1.0321870910700255}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60101.0, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6071.31704171719, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6071.31704171719, 'Unlinked Passenger Trips': 47871, 'Passenger Paid Fares': 367349, 'Average Fare': 7.673727308809091, 'Average Passengers': 0.8329771977398964}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70010.0, 'Mode': 'DR', 'UACE Code': '23743', 'Gasoline (%)': 3.1076517970117923, 'Diesel (%)': 96.89234820298822, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 24691.91474390032, 'Diesel (Wh/pkm)': 3226.3889407541956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3893.462739113697, 'Unlinked Passenger Trips': 97936, 'Passenger Paid Fares': 108193, 'Average Fare': 1.10473166149322, 'Average Passengers': 1.0071916655961142}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70014.0, 'Mode': 'DR', 'UACE Code': '88084', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6535.617965724188, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6535.617965724188, 'Unlinked Passenger Trips': 22605, 'Passenger Paid Fares': 87214, 'Average Fare': 3.85817297058173, 'Average Passengers': 0.5229933717160966}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70018.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 83.59521477543025, 'Diesel (%)': 16.40478522456975, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6237.871612506946, 'Diesel (Wh/pkm)': 5276.666989890317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6080.188058598052, 'Unlinked Passenger Trips': 96815, 'Passenger Paid Fares': 183102, 'Average Fare': 1.8912565201673295, 'Average Passengers': 1.1359562864766601}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70030.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': 47.741657696447795, 'Diesel (%)': 52.258342303552205, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7141.667112229983, 'Diesel (Wh/pkm)': 3193.199938060166, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5078.2636206089255, 'Unlinked Passenger Trips': 12156, 'Passenger Paid Fares': 22832, 'Average Fare': 1.8782494241526817, 'Average Passengers': 1.0023877033278616}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80003.0, 'Mode': 'MB', 'UACE Code': '29089', 'Gasoline (%)': 0.33409165909801086, 'Diesel (%)': 99.66590834090199, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3629.4482673454118, 'Diesel (Wh/pkm)': 883.1454323866548, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 892.3206010918242, 'Unlinked Passenger Trips': 1343534, 'Passenger Paid Fares': 560802, 'Average Fare': 0.4174081191841814, 'Average Passengers': 5.719879050703187}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90009.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.5502942229311764, 'Diesel (%)': 99.3977588397715, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.05194693729733578, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4226.489928633949, 'Diesel (Wh/pkm)': 1159.8469116722272, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 0.2588571730409972, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1176.3104964473662, 'Unlinked Passenger Trips': 10997736, 'Passenger Paid Fares': 14685349, 'Average Fare': 1.3353065576405907, 'Average Passengers': 4.836670492792773}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90012.0, 'Mode': 'DR', 'UACE Code': '85087', 'Gasoline (%)': 44.414948323572446, 'Diesel (%)': 55.585051676427554, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7917.91137678926, 'Diesel (Wh/pkm)': 3606.1042660012818, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5521.191166069885, 'Unlinked Passenger Trips': 15022, 'Passenger Paid Fares': 34224, 'Average Fare': 2.2782585541206233, 'Average Passengers': 0.5419533720613966}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90027.0, 'Mode': 'DR', 'UACE Code': '31843', 'Gasoline (%)': 86.5757621164444, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 13.424237883555598, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15751.737359036046, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3304.7704593811004, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14080.826913138942, 'Unlinked Passenger Trips': 220351, 'Passenger Paid Fares': 326496, 'Average Fare': 1.4817087283470463, 'Average Passengers': 1.1918071419393794}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90086.0, 'Mode': 'DR', 'UACE Code': '75340', 'Gasoline (%)': 0.01657348865372403, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.98342651134628, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 21099.406649431, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 567.9554782810873, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 571.3582560113828, 'Unlinked Passenger Trips': 139878, 'Passenger Paid Fares': 440478, 'Average Fare': 3.14901557071162, 'Average Passengers': 1.8119607425187438}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90119.0, 'Mode': 'MB', 'UACE Code': '57709', 'Gasoline (%)': 0.014052759680946146, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 99.98594724031905, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 48608.3026553361, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1011.7335746930542, 'Unlinked Passenger Trips': 820829, 'Passenger Paid Fares': 3528, 'Average Fare': 0.004298093756434044, 'Average Passengers': 4.826090295857048}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90142.0, 'Mode': 'MB', 'UACE Code': '22420', 'Gasoline (%)': 0.020214771191370447, 'Diesel (%)': 6.422598393785894, 'LPG (%)': None, 'CNG (%)': 93.55718683502273, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3432.669702789639, 'Diesel (Wh/pkm)': 877.1568034775011, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 160.21195751219204, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 206.91996551903281, 'Unlinked Passenger Trips': 3741782, 'Passenger Paid Fares': 231319, 'Average Fare': 0.061820544328878596, 'Average Passengers': 9.618531646897289}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 95.03925005587945, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 4.9607499441205585, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9133.613959575323, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1132.9479870330815, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8736.720926813161, 'Unlinked Passenger Trips': 198289, 'Passenger Paid Fares': 128375, 'Average Fare': 0.6474136235494656, 'Average Passengers': 0.7502685446068807}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90205.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': 30.16428395702922, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 69.83571604297077, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14649.394759423922, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 163.9930658457157, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4533.4107650129645, 'Unlinked Passenger Trips': 20380, 'Passenger Paid Fares': 112254, 'Average Fare': 5.5080471050049065, 'Average Passengers': 0.6866661209789636}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90244.0, 'Mode': 'DR', 'UACE Code': '90946', 'Gasoline (%)': 53.237670465159724, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 46.76232953484028, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9386.457915484474, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 192.78893090597873, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5087.284128573475, 'Unlinked Passenger Trips': 17690, 'Passenger Paid Fares': 37282, 'Average Fare': 2.10751837196156, 'Average Passengers': 0.9779644306731029}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 2.0, 'Mode': 'DR', 'UACE Code': '83764', 'Gasoline (%)': 49.188134725787585, 'Diesel (%)': 49.04057222213926, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.7712930520731376, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1661.9492719914615, 'Diesel (Wh/pkm)': 10742.264415441627, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2179.009547177021, 'All Fuels (Wh/pkm)': 6124.14643064238, 'Unlinked Passenger Trips': 441097, 'Passenger Paid Fares': 790908, 'Average Fare': 1.7930477876748199, 'Average Passengers': 1.491738648033177}\n", + "Removing YR outlier: expected (np.float64(23.114891739978077), np.float64(680.7031258505597)), got {'NTD ID': 8.0, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 709.8566605123034, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 709.8566605123034, 'Unlinked Passenger Trips': 374044, 'Passenger Paid Fares': 233262, 'Average Fare': 0.6236218198928468, 'Average Passengers': 26.92943502201709}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': 91.37361543777102, 'Diesel (%)': 8.626384562228987, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2444.547749140535, 'Diesel (Wh/pkm)': 6562.837203222997, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2799.807234835409, 'Unlinked Passenger Trips': 241297, 'Passenger Paid Fares': 402005, 'Average Fare': 1.6660173976468833, 'Average Passengers': 1.022444360478072}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': None, 'Diesel (%)': 72.85385682428756, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3341.7920111535564, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679, 'Passenger Paid Fares': 783788, 'Average Fare': 1.2607599741989033, 'Average Passengers': 3.559537432081177}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10066.0, 'Mode': 'DR', 'UACE Code': '11755', 'Gasoline (%)': 98.60028170587177, 'Diesel (%)': 1.399718294128232, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2935.3485325195634, 'Diesel (Wh/pkm)': 48136.88476749949, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3568.042704427579, 'Unlinked Passenger Trips': 158805, 'Passenger Paid Fares': 100135, 'Average Fare': 0.6305531941689494, 'Average Passengers': 0.8382296409168593}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 60.00191088888182, 'Diesel (%)': 39.99808911111819, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1186.4923145228674, 'Diesel (Wh/pkm)': 2231.338078527747, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1604.4106542832826, 'Unlinked Passenger Trips': 173342, 'Passenger Paid Fares': 189922, 'Average Fare': 1.095649063700661, 'Average Passengers': 1.3424549611316936}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2472.0866431400136, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2472.0866431400136, 'Unlinked Passenger Trips': 161230, 'Passenger Paid Fares': 309273, 'Average Fare': 1.9182100105439435, 'Average Passengers': 5.3913823928671984}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20004.0, 'Mode': 'MB', 'UACE Code': '11350', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 46231.844820005506, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50734.52479517615, 'Unlinked Passenger Trips': 19282797, 'Passenger Paid Fares': 16345191, 'Average Fare': 0.847656644417301, 'Average Passengers': 6.624580549591937}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2376.9523157978515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2376.9523157978515, 'Unlinked Passenger Trips': 196886, 'Passenger Paid Fares': 344473, 'Average Fare': 1.7496063711995775, 'Average Passengers': 2.4821274279394485}\n", + "Removing CR outlier: expected (np.float64(-422.20243413846475), np.float64(1133.7240994950157)), got {'NTD ID': 20078.0, 'Mode': 'CR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 0.07586870655134739, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 95.49992589329386, 'Other (%)': 4.424205400154778, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18633.183687290115, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 26.56238839817041, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 39.5038166886253, 'Unlinked Passenger Trips': 91433762, 'Passenger Paid Fares': 756678075, 'Average Fare': 8.275696618498536, 'Average Passengers': 192.4162193561774}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2498.395663093816, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2498.395663093816, 'Unlinked Passenger Trips': 406193, 'Passenger Paid Fares': 618186, 'Average Fare': 1.5219021499631948, 'Average Passengers': 2.0785660191118036}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30011.0, 'Mode': 'MB', 'UACE Code': '01792', 'Gasoline (%)': None, 'Diesel (%)': 15.653069117094345, 'LPG (%)': None, 'CNG (%)': 84.34693088290565, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3871.814107790777, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 832.6838378506914, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1308.4009995629485, 'Unlinked Passenger Trips': 556182, 'Passenger Paid Fares': 305624, 'Average Fare': 0.5495035797634588, 'Average Passengers': 2.7153128917893405}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30015.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': 89.98877583164358, 'LPG (%)': None, 'CNG (%)': 10.011224168356408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2696.0959618617194, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 213.58456168924377, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2447.5661805854497, 'Unlinked Passenger Trips': 1135601, 'Passenger Paid Fares': 1267431, 'Average Fare': 1.116088309186061, 'Average Passengers': 4.020710866835314}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10586.236486927322, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10586.236486927322, 'Unlinked Passenger Trips': 3623587, 'Passenger Paid Fares': 18889000, 'Average Fare': 5.21279053048816, 'Average Passengers': 7.27660985033679}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 30.162221720718446, 'Diesel (%)': 69.83777827928155, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1505.570331275777, 'Diesel (Wh/pkm)': 3015.3805126751436, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2559.9882181994853, 'Unlinked Passenger Trips': 375513, 'Passenger Paid Fares': 395699, 'Average Fare': 1.053755795405219, 'Average Passengers': 1.7490203167952532}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 79.56582641066625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3187.242739542017, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106, 'Passenger Paid Fares': 548100, 'Average Fare': 0.8405075248502544, 'Average Passengers': 2.2871443073919377}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30081.0, 'Mode': 'MB', 'UACE Code': '92242', 'Gasoline (%)': 65.80802910074603, 'Diesel (%)': 34.191970899253974, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2008.4793663340251, 'Diesel (Wh/pkm)': 2224.446051443708, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2082.3226324588113, 'Unlinked Passenger Trips': 376033, 'Passenger Paid Fares': 197254, 'Average Fare': 0.5245656631199921, 'Average Passengers': 1.6284688241059735}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40002.0, 'Mode': 'MB', 'UACE Code': '45640', 'Gasoline (%)': 17.847959761464946, 'Diesel (%)': 82.15204023853505, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1503.6006255111383, 'Diesel (Wh/pkm)': 2204.265120927597, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2079.2108037227954, 'Unlinked Passenger Trips': 2685291, 'Passenger Paid Fares': 1732725, 'Average Fare': 0.6452652617537541, 'Average Passengers': 2.6631079092531937}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40004.0, 'Mode': 'MB', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 51479.82455508889, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53902.27554502195, 'Unlinked Passenger Trips': 9285398, 'Passenger Paid Fares': 4791799, 'Average Fare': 0.5160574700190558, 'Average Passengers': 5.639117917881695}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6937.772352704548, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6937.772352704548, 'Unlinked Passenger Trips': 515344, 'Passenger Paid Fares': 335175, 'Average Fare': 0.6503908069173212, 'Average Passengers': 1.1883262840192634}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40018.0, 'Mode': 'MB', 'UACE Code': '51755', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 123842.84324923738, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 125356.78571660868, 'Unlinked Passenger Trips': 10832836, 'Passenger Paid Fares': 8927049, 'Average Fare': 0.8240731236030897, 'Average Passengers': 5.789470367781739}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40031.0, 'Mode': 'DR', 'UACE Code': '46828', 'Gasoline (%)': 97.6634029512307, 'Diesel (%)': 2.336597048769306, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3087.155439880125, 'Diesel (Wh/pkm)': 14745.41449123678, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3359.561976812005, 'Unlinked Passenger Trips': 107741, 'Passenger Paid Fares': 76620, 'Average Fare': 0.7111498872295597, 'Average Passengers': 0.8775695750375611}\n", + "Removing RB outlier: expected (np.float64(-547.2494962483245), np.float64(1572.9858573410165)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2765.151247657171, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2765.151247657171, 'Unlinked Passenger Trips': 1040300, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 2.2965288283476353}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 16085.530906619992, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16085.530906619992, 'Unlinked Passenger Trips': 423806, 'Passenger Paid Fares': 1384078, 'Average Fare': 3.2658291765571983, 'Average Passengers': 24.652662874870735}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40068.0, 'Mode': 'DR', 'UACE Code': '29953', 'Gasoline (%)': 99.34383915797224, 'Diesel (%)': 0.6561608420277609, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1647.81594763092, 'Diesel (Wh/pkm)': 7995.449342435871, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1689.4666323631072, 'Unlinked Passenger Trips': 89614, 'Passenger Paid Fares': 92329, 'Average Fare': 1.030296605441114, 'Average Passengers': 1.8031655429061468}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 85.22138919126245, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 14.778610808737566, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2183.2062116477227, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2309.3305799750965, 'Unlinked Passenger Trips': 2654874, 'Passenger Paid Fares': 2019302, 'Average Fare': 0.760601821404707, 'Average Passengers': 2.4427487507150336}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2437.492858746562, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2437.492858746562, 'Unlinked Passenger Trips': 9923, 'Passenger Paid Fares': 13638, 'Average Fare': 1.3743827471530787, 'Average Passengers': 1.2157080741923054}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 94.72811503215027, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2447.139203532212, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775, 'Passenger Paid Fares': 88939, 'Average Fare': 0.9690983383274312, 'Average Passengers': 1.5892833508109263}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 32.31000036591167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4965.283483415956, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531, 'Passenger Paid Fares': 6219, 'Average Fare': 0.3184168757360094, 'Average Passengers': 1.0509777132610367}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 41105.0, 'Mode': 'DR', 'UACE Code': '66484', 'Gasoline (%)': 99.9764266703536, 'Diesel (%)': 0.023573329646400056, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2401.182255482736, 'Diesel (Wh/pkm)': 55746.74895131824, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2413.757581771685, 'Unlinked Passenger Trips': 151344, 'Passenger Paid Fares': 201778, 'Average Fare': 1.333240828840258, 'Average Passengers': 1.2350088091710905}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 41157.14458404882, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 41157.14458404882, 'Unlinked Passenger Trips': 56420, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.2045053003533568}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1965.0538746013897, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1965.0538746013897, 'Unlinked Passenger Trips': 122391, 'Passenger Paid Fares': 1118849, 'Average Fare': 9.14159537874517, 'Average Passengers': 7.178308650184368}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50044.0, 'Mode': 'MB', 'UACE Code': '31087', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 94582.73182578087, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 94582.73182578087, 'Unlinked Passenger Trips': 1600996, 'Passenger Paid Fares': 1105925, 'Average Fare': 0.6907731187335884, 'Average Passengers': 3.2368993141882556}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5231.9334826675795, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5636.094673989819, 'Unlinked Passenger Trips': 778430, 'Passenger Paid Fares': 703112, 'Average Fare': 0.9032437084901661, 'Average Passengers': 1.0709940994538156}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50053.0, 'Mode': 'DR', 'UACE Code': '87139', 'Gasoline (%)': 86.71368912564532, 'Diesel (%)': 13.286310874354673, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2010.1595703156027, 'Diesel (Wh/pkm)': 15790.746594974746, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3841.0912027227996, 'Unlinked Passenger Trips': 17095, 'Passenger Paid Fares': 28464, 'Average Fare': 1.6650482597250658, 'Average Passengers': 1.0000332038383637}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 77.73634223974972, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3167.84297722233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772, 'Passenger Paid Fares': 94673, 'Average Fare': 0.42882702516623483, 'Average Passengers': 0.997317694449381}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50054.0, 'Mode': 'DR', 'UACE Code': '60625', 'Gasoline (%)': None, 'Diesel (%)': 0.668462820831584, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 99.33153717916842, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12743.065351218926, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3727.806650740778, 'Unlinked Passenger Trips': 55889, 'Passenger Paid Fares': 53764, 'Average Fare': 0.9619782068027698, 'Average Passengers': 0.986711371139489}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50154.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 99.9916846514741, 'Diesel (%)': 0.008315348525911115, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2773.9926738601725, 'Diesel (Wh/pkm)': 72345.11674221377, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2779.7777552998505, 'Unlinked Passenger Trips': 2573189, 'Passenger Paid Fares': 7279904, 'Average Fare': 2.8291369192080333, 'Average Passengers': 1.0183439608770224}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50198.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 65.66730006803199, 'Diesel (%)': 34.332699931968, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 524.4054886656445, 'Diesel (Wh/pkm)': 8554.707698810718, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3281.425050104948, 'Unlinked Passenger Trips': 38897, 'Passenger Paid Fares': 13846, 'Average Fare': 0.3559657557138083, 'Average Passengers': 1.4184931113212575}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8775.99673630732, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8775.99673630732, 'Unlinked Passenger Trips': 136312, 'Passenger Paid Fares': 119947, 'Average Fare': 0.8799445389987676, 'Average Passengers': 1.5403929195654409}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 89.12820133097621, 'LPG (%)': None, 'CNG (%)': 10.871798669023796, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 8513.248214314332, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2029.8726915750021, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7808.388680525343, 'Unlinked Passenger Trips': 22258, 'Passenger Paid Fares': 39982, 'Average Fare': 1.7962979602839428, 'Average Passengers': 0.4411054429728085}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12556.485470992562, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12556.485470992562, 'Unlinked Passenger Trips': 844949, 'Passenger Paid Fares': 1481659, 'Average Fare': 1.753548439018213, 'Average Passengers': 26.09964786557114}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 15622.47773339219, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15622.47773339219, 'Unlinked Passenger Trips': 718059, 'Passenger Paid Fares': 297726, 'Average Fare': 0.41462609618429686, 'Average Passengers': 16.733314690529458}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60130.0, 'Mode': 'DR', 'UACE Code': '78580', 'Gasoline (%)': 99.99597326752982, 'Diesel (%)': 0.00402673247018645, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2908.3129379675506, 'Diesel (Wh/pkm)': 179629.43392982133, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2915.429024728207, 'Unlinked Passenger Trips': 130793, 'Passenger Paid Fares': 271221, 'Average Fare': 2.073666021881905, 'Average Passengers': 0.8913796776480837}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70016.0, 'Mode': 'DR', 'UACE Code': '18937', 'Gasoline (%)': 69.7314294405399, 'Diesel (%)': 7.766722434643586, 'LPG (%)': None, 'CNG (%)': 22.501848124816515, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 671.1442212040579, 'Diesel (Wh/pkm)': 28643.514527247415, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1134.59085410439, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2947.964638739917, 'Unlinked Passenger Trips': 52868, 'Passenger Paid Fares': 90394, 'Average Fare': 1.7098055534538852, 'Average Passengers': 1.0005630344163265}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 70048.0, 'Mode': 'MB', 'UACE Code': '48232', 'Gasoline (%)': 54.54308357591155, 'Diesel (%)': 45.45691642408844, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1111.8317496236916, 'Diesel (Wh/pkm)': 2203.1681704627313, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1607.919634350132, 'Unlinked Passenger Trips': 1108579, 'Passenger Paid Fares': 294781, 'Average Fare': 0.26590887974605326, 'Average Passengers': 3.245570466450487}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 80009.0, 'Mode': 'DR', 'UACE Code': '57736', 'Gasoline (%)': 75.05126230527284, 'Diesel (%)': 24.94873769472717, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2721.4516160450526, 'Diesel (Wh/pkm)': 6263.037128305961, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3605.032495733486, 'Unlinked Passenger Trips': 41918, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.6241575968281969}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 67.25461883453832, 'Diesel (%)': 32.74538116546167, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1847.996241252163, 'Diesel (Wh/pkm)': 4124.497446809608, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2593.4452382482787, 'Unlinked Passenger Trips': 110313, 'Passenger Paid Fares': 75595, 'Average Fare': 0.6852773471848286, 'Average Passengers': 1.9110903203642928}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90009.0, 'Mode': 'DR', 'UACE Code': '78904', 'Gasoline (%)': 98.6286862171691, 'Diesel (%)': 1.3713137828309054, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1640.329318768034, 'Diesel (Wh/pkm)': 13254.754818515, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1799.5995364426917, 'Unlinked Passenger Trips': 225135, 'Passenger Paid Fares': 593746, 'Average Fare': 2.6372887378683902, 'Average Passengers': 1.362353227010754}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90087.0, 'Mode': 'MB', 'UACE Code': '79417', 'Gasoline (%)': 7.044213979882271, 'Diesel (%)': 92.95578602011773, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1230.36487226712, 'Diesel (Wh/pkm)': 2170.4539751732123, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2104.2320871629513, 'Unlinked Passenger Trips': 663526, 'Passenger Paid Fares': 749447, 'Average Fare': 1.1294915346195928, 'Average Passengers': 2.5975988645534747}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 60.18836802839378, 'LPG (%)': None, 'CNG (%)': 39.811631971606225, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6190.74474931405, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1924.9165932533485, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4492.448943282007, 'Unlinked Passenger Trips': 771520, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.7183857745037124}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90159.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3465.4134836949816, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.649109359535, 'Unlinked Passenger Trips': 811886, 'Passenger Paid Fares': 836900, 'Average Fare': 1.0308097442251745, 'Average Passengers': 3.7424467714658913}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 8.170701086114509, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 8621.95896013045, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854, 'Passenger Paid Fares': 67632, 'Average Fare': 0.46689770389495633, 'Average Passengers': 1.1623749133003982}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6654.6079432359065, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8056.946538959973, 'Unlinked Passenger Trips': 98590, 'Passenger Paid Fares': 1128070, 'Average Fare': 11.442032660513236, 'Average Passengers': 0.7168472600942849}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2986.6320228345216, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5040.656541940525, 'Unlinked Passenger Trips': 1442723, 'Passenger Paid Fares': 1983377, 'Average Fare': 1.3747455332728458, 'Average Passengers': 2.7056562229231593}\n", + "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 53.03688894372484, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53.03688894372484, 'Unlinked Passenger Trips': 1939224, 'Passenger Paid Fares': 4151874, 'Average Fare': 2.140997636167869, 'Average Passengers': 35.706581558542524}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 454.593457626446, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 454.593457626446, 'Unlinked Passenger Trips': 7162790, 'Passenger Paid Fares': 6398343, 'Average Fare': 0.8932752460982383, 'Average Passengers': 18.712565351083736}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 199.9001689377636, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 199.9001689377636, 'Unlinked Passenger Trips': 7275335, 'Passenger Paid Fares': 10449300, 'Average Fare': 1.4362637596756713, 'Average Passengers': 30.225340273782862}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 451.366799194593, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 451.366799194593, 'Unlinked Passenger Trips': 1428956, 'Passenger Paid Fares': 1581495, 'Average Fare': 1.1067485632867633, 'Average Passengers': 12.434059370019565}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 40034.0, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 164.68347309474024, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 164.68347309474024, 'Unlinked Passenger Trips': 18494501, 'Passenger Paid Fares': 10326464, 'Average Fare': 0.5583532099622477, 'Average Passengers': 64.85589889881902}\n", + "Removing SR outlier: expected (np.float64(-764.000169778611), np.float64(2093.351822887108)), got {'NTD ID': 50003.0, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2161.9369327411578, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2161.9369327411578, 'Unlinked Passenger Trips': 36658, 'Passenger Paid Fares': 23146, 'Average Fare': 0.6314037863495008, 'Average Passengers': 3.5029825679040947}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 192.34584305205686, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192.34584305205686, 'Unlinked Passenger Trips': 5666706, 'Passenger Paid Fares': 7377403, 'Average Fare': 1.301885610441057, 'Average Passengers': 28.833226776538563}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 936.5662710336559, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 936.5662710336559, 'Unlinked Passenger Trips': 1484863, 'Passenger Paid Fares': 2549863, 'Average Fare': 1.7172378865929045, 'Average Passengers': 13.140930389199637}\n", + "Removing TB outlier: expected (np.float64(269.0790585103246), np.float64(456.66907892177966)), got {'NTD ID': 50017.0, 'Mode': 'TB', 'UACE Code': '22528', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 521.3394053477258, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.3394053477258, 'Unlinked Passenger Trips': 2047285, 'Passenger Paid Fares': 1132575, 'Average Fare': 0.5532082733962297, 'Average Passengers': 9.881410350234008}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90001.0, 'Mode': 'MB', 'UACE Code': '74179', 'Gasoline (%)': None, 'Diesel (%)': 89.62849518658918, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 10.37150481341083, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 780.7905604785835, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 2265.2360511620504, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 934.7498959972793, 'Unlinked Passenger Trips': 7166712, 'Passenger Paid Fares': 5042285, 'Average Fare': 0.703570200672219, 'Average Passengers': 7.387405909145497}\n", + "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1570.7859376694457, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1570.7859376694457, 'Unlinked Passenger Trips': 886515, 'Passenger Paid Fares': 5038104, 'Average Fare': 5.683044280130624, 'Average Passengers': 7.19364617622292}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': 99.35589780504873, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 0.6441021949512638, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 358.1649880520731, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 23.264341946529402, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 356.00788563960134, 'Unlinked Passenger Trips': 572713, 'Passenger Paid Fares': 2900698, 'Average Fare': 5.064837012604917, 'Average Passengers': 4.889303798680055}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90032.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1231744814605698, 'Diesel (%)': 25.674075034796246, 'LPG (%)': None, 'CNG (%)': 71.47976299908333, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.7229874846598398, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 748.3525976602164, 'Diesel (Wh/pkm)': 1474.6729769071815, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 272.69022004096826, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 12799.499257013123, 'All Fuels (Wh/pkm)': 681.9545787281794, 'Unlinked Passenger Trips': 40696303, 'Passenger Paid Fares': 27492333, 'Average Fare': 0.6755486610171936, 'Average Passengers': 5.2917258569980365}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90136.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.1327277408057967, 'Diesel (%)': 17.75382571096142, 'LPG (%)': None, 'CNG (%)': 79.13650223860375, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 0.9769443096290263, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1007.287841469384, 'Diesel (Wh/pkm)': 1284.06344497336, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 347.58404218267106, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5238.045114727647, 'All Fuels (Wh/pkm)': 575.6917302705706, 'Unlinked Passenger Trips': 13875664, 'Passenger Paid Fares': 9100598, 'Average Fare': 0.6558675678511673, 'Average Passengers': 3.974893574314798}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 2.0, 'Mode': 'DR', 'UACE Code': '83764', 'Gasoline (%)': 49.188134725787585, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.7712930520731376, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1661.9492719914615, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2179.009547177021, 'All Fuels (Wh/pkm)': 6124.14643064238, 'Unlinked Passenger Trips': 441097, 'Passenger Paid Fares': 790908, 'Average Fare': 1.7930477876748199, 'Average Passengers': 1.491738648033177}\n", + "Removing YR outlier: expected (np.float64(23.114891739978077), np.float64(680.7031258505597)), got {'NTD ID': 8.0, 'Mode': 'YR', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 709.8566605123034, 'Unlinked Passenger Trips': 374044, 'Passenger Paid Fares': 233262, 'Average Fare': 0.6236218198928468, 'Average Passengers': 26.92943502201709}\n", + "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53.03688894372484, 'Unlinked Passenger Trips': 1939224, 'Passenger Paid Fares': 4151874, 'Average Fare': 2.140997636167869, 'Average Passengers': 35.706581558542524}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 10042.0, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4090.3756536271176, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 26905.588129945943, 'Unlinked Passenger Trips': 48529, 'Passenger Paid Fares': 66377, 'Average Fare': 1.3677800902553112, 'Average Passengers': 1.3777172765218861}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 10051.0, 'Mode': 'MB', 'UACE Code': '22096', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3094.9491030110553, 'Unlinked Passenger Trips': 621679, 'Passenger Paid Fares': 783788, 'Average Fare': 1.2607599741989033, 'Average Passengers': 3.559537432081177}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2472.0866431400136, 'Unlinked Passenger Trips': 161230, 'Passenger Paid Fares': 309273, 'Average Fare': 1.9182100105439435, 'Average Passengers': 5.3913823928671984}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6333.750043467756, 'Unlinked Passenger Trips': 128143, 'Passenger Paid Fares': 242608, 'Average Fare': 1.8932598737348119, 'Average Passengers': 0.9109738237522094}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20004.0, 'Mode': 'MB', 'UACE Code': '11350', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50734.52479517615, 'Unlinked Passenger Trips': 19282797, 'Passenger Paid Fares': 16345191, 'Average Fare': 0.847656644417301, 'Average Passengers': 6.624580549591937}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2376.9523157978515, 'Unlinked Passenger Trips': 196886, 'Passenger Paid Fares': 344473, 'Average Fare': 1.7496063711995775, 'Average Passengers': 2.4821274279394485}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': 5.141133882604008, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4887.374427004995, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7992.360665094902, 'Unlinked Passenger Trips': 186041, 'Passenger Paid Fares': 431265, 'Average Fare': 2.318118049247209, 'Average Passengers': 0.7220413796738246}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2498.395663093816, 'Unlinked Passenger Trips': 406193, 'Passenger Paid Fares': 618186, 'Average Fare': 1.5219021499631948, 'Average Passengers': 2.0785660191118036}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 20113.0, 'Mode': 'VP', 'UACE Code': '75664', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.4656079762473, 'Unlinked Passenger Trips': 17971, 'Passenger Paid Fares': 42261, 'Average Fare': 2.351622057759724, 'Average Passengers': 6.593063400470899}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30015.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 10.011224168356408, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 213.58456168924377, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2447.5661805854497, 'Unlinked Passenger Trips': 1135601, 'Passenger Paid Fares': 1267431, 'Average Fare': 1.116088309186061, 'Average Passengers': 4.020710866835314}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 454.593457626446, 'Unlinked Passenger Trips': 7162790, 'Passenger Paid Fares': 6398343, 'Average Fare': 0.8932752460982383, 'Average Passengers': 18.712565351083736}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30025.0, 'Mode': 'DR', 'UACE Code': '80227', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9568.012853376995, 'Unlinked Passenger Trips': 144854, 'Passenger Paid Fares': 67632, 'Average Fare': 0.46689770389495633, 'Average Passengers': 1.1623749133003982}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10586.236486927322, 'Unlinked Passenger Trips': 3623587, 'Passenger Paid Fares': 18889000, 'Average Fare': 5.21279053048816, 'Average Passengers': 7.27660985033679}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 199.9001689377636, 'Unlinked Passenger Trips': 7275335, 'Passenger Paid Fares': 10449300, 'Average Fare': 1.4362637596756713, 'Average Passengers': 30.225340273782862}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 30035.0, 'Mode': 'DR', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6072.017489318482, 'Unlinked Passenger Trips': 3944, 'Passenger Paid Fares': 10616, 'Average Fare': 2.691683569979716, 'Average Passengers': 0.46701484993621983}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 30.162221720718446, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1505.570331275777, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2559.9882181994853, 'Unlinked Passenger Trips': 375513, 'Passenger Paid Fares': 395699, 'Average Fare': 1.053755795405219, 'Average Passengers': 1.7490203167952532}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 30045.0, 'Mode': 'CB', 'UACE Code': '15724', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8536.25163311689, 'Unlinked Passenger Trips': 39953, 'Passenger Paid Fares': 130497, 'Average Fare': 3.2662628588591596, 'Average Passengers': 3.850123870627269}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.930328433761636, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 246.75282788484802, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3367.685909116409, 'Unlinked Passenger Trips': 652106, 'Passenger Paid Fares': 548100, 'Average Fare': 0.8405075248502544, 'Average Passengers': 2.2871443073919377}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1007.2122963409187, 'Unlinked Passenger Trips': 1449867, 'Passenger Paid Fares': 10246879, 'Average Fare': 7.067461360248906, 'Average Passengers': 5.775374250050228}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 451.366799194593, 'Unlinked Passenger Trips': 1428956, 'Passenger Paid Fares': 1581495, 'Average Fare': 1.1067485632867633, 'Average Passengers': 12.434059370019565}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40004.0, 'Mode': 'MB', 'UACE Code': '61273', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 53902.27554502195, 'Unlinked Passenger Trips': 9285398, 'Passenger Paid Fares': 4791799, 'Average Fare': 0.5160574700190558, 'Average Passengers': 5.639117917881695}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6937.772352704548, 'Unlinked Passenger Trips': 515344, 'Passenger Paid Fares': 335175, 'Average Fare': 0.6503908069173212, 'Average Passengers': 1.1883262840192634}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40018.0, 'Mode': 'MB', 'UACE Code': '51755', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 125356.78571660868, 'Unlinked Passenger Trips': 10832836, 'Passenger Paid Fares': 8927049, 'Average Fare': 0.8240731236030897, 'Average Passengers': 5.789470367781739}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 40034.0, 'Mode': 'HR', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 164.68347309474024, 'Unlinked Passenger Trips': 18494501, 'Passenger Paid Fares': 10326464, 'Average Fare': 0.5583532099622477, 'Average Passengers': 64.85589889881902}\n", + "Removing RB outlier: expected (np.float64(-547.2494962483245), np.float64(1572.9858573410165)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2765.151247657171, 'Unlinked Passenger Trips': 1040300, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 2.2965288283476353}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16085.530906619992, 'Unlinked Passenger Trips': 423806, 'Passenger Paid Fares': 1384078, 'Average Fare': 3.2658291765571983, 'Average Passengers': 24.652662874870735}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10244.947651837972, 'Unlinked Passenger Trips': 7256, 'Passenger Paid Fares': 19298, 'Average Fare': 2.6595920617420066, 'Average Passengers': 0.5665410700828938}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40053.0, 'Mode': 'DR', 'UACE Code': '35461', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6658.734052852649, 'Unlinked Passenger Trips': 9455, 'Passenger Paid Fares': 26994, 'Average Fare': 2.854997355896351, 'Average Passengers': 0.5003525421144904}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40082.0, 'Mode': 'MB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7668.126094996984, 'Unlinked Passenger Trips': 13349, 'Passenger Paid Fares': 20679, 'Average Fare': 1.549104801857817, 'Average Passengers': 0.42741271728349034}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 14.778610808737566, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2309.3305799750965, 'Unlinked Passenger Trips': 2654874, 'Passenger Paid Fares': 2019302, 'Average Fare': 0.760601821404707, 'Average Passengers': 2.4427487507150336}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 9.981159356789204, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 640.839441983884, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13570.510929442333, 'Unlinked Passenger Trips': 10206, 'Passenger Paid Fares': 14225, 'Average Fare': 1.393787967862042, 'Average Passengers': 0.2558129341894764}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 40185.0, 'Mode': 'DR', 'UACE Code': '67305', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11799.361993939377, 'Unlinked Passenger Trips': 58150, 'Passenger Paid Fares': 26545, 'Average Fare': 0.45649183147033534, 'Average Passengers': 1.931648540354894}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2437.492858746562, 'Unlinked Passenger Trips': 9923, 'Passenger Paid Fares': 13638, 'Average Fare': 1.3743827471530787, 'Average Passengers': 1.2157080741923054}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2431.0558279517013, 'Unlinked Passenger Trips': 91775, 'Passenger Paid Fares': 88939, 'Average Fare': 0.9690983383274312, 'Average Passengers': 1.5892833508109263}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5465.410163845361, 'Unlinked Passenger Trips': 19531, 'Passenger Paid Fares': 6219, 'Average Fare': 0.3184168757360094, 'Average Passengers': 1.0509777132610367}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 41157.14458404882, 'Unlinked Passenger Trips': 56420, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.2045053003533568}\n", + "Removing SR outlier: expected (np.float64(-764.000169778611), np.float64(2093.351822887108)), got {'NTD ID': 50003.0, 'Mode': 'SR', 'UACE Code': '44506', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2161.9369327411578, 'Unlinked Passenger Trips': 36658, 'Passenger Paid Fares': 23146, 'Average Fare': 0.6314037863495008, 'Average Passengers': 3.5029825679040947}\n", + "Removing HR outlier: expected (np.float64(-44.912327940248964), np.float64(148.33539058892922)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 192.34584305205686, 'Unlinked Passenger Trips': 5666706, 'Passenger Paid Fares': 7377403, 'Average Fare': 1.301885610441057, 'Average Passengers': 28.833226776538563}\n", + "Removing LR outlier: expected (np.float64(-34.39572329643434), np.float64(312.5683468861693)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 936.5662710336559, 'Unlinked Passenger Trips': 1484863, 'Passenger Paid Fares': 2549863, 'Average Fare': 1.7172378865929045, 'Average Passengers': 13.140930389199637}\n", + "Removing TB outlier: expected (np.float64(269.0790585103246), np.float64(456.66907892177966)), got {'NTD ID': 50017.0, 'Mode': 'TB', 'UACE Code': '22528', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 521.3394053477258, 'Unlinked Passenger Trips': 2047285, 'Passenger Paid Fares': 1132575, 'Average Fare': 0.5532082733962297, 'Average Passengers': 9.881410350234008}\n", + "Removing CB outlier: expected (np.float64(-398.28742351002745), np.float64(1543.0728403926464)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1965.0538746013897, 'Unlinked Passenger Trips': 122391, 'Passenger Paid Fares': 1118849, 'Average Fare': 9.14159537874517, 'Average Passengers': 7.178308650184368}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50040.0, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2693.288935398943, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10541.584630438749, 'Unlinked Passenger Trips': 184393, 'Passenger Paid Fares': 712165, 'Average Fare': 3.862212773803778, 'Average Passengers': 1.0191150023285538}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50044.0, 'Mode': 'MB', 'UACE Code': '31087', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 94582.73182578087, 'Unlinked Passenger Trips': 1600996, 'Passenger Paid Fares': 1105925, 'Average Fare': 0.6907731187335884, 'Average Passengers': 3.2368993141882556}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5636.094673989819, 'Unlinked Passenger Trips': 778430, 'Passenger Paid Fares': 703112, 'Average Fare': 0.9032437084901661, 'Average Passengers': 1.0709940994538156}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4403.820453358655, 'Unlinked Passenger Trips': 220772, 'Passenger Paid Fares': 94673, 'Average Fare': 0.42882702516623483, 'Average Passengers': 0.997317694449381}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 50198.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 65.66730006803199, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 524.4054886656445, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3281.425050104948, 'Unlinked Passenger Trips': 38897, 'Passenger Paid Fares': 13846, 'Average Fare': 0.3559657557138083, 'Average Passengers': 1.4184931113212575}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': None, 'Diesel (%)': 8.876650520867893, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2653.4088224262428, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7806.502043957276, 'Unlinked Passenger Trips': 23561, 'Passenger Paid Fares': 38856, 'Average Fare': 1.6491659946521795, 'Average Passengers': 0.5787042504445472}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8775.99673630732, 'Unlinked Passenger Trips': 136312, 'Passenger Paid Fares': 119947, 'Average Fare': 0.8799445389987676, 'Average Passengers': 1.5403929195654409}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 10.871798669023796, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 2029.8726915750021, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7808.388680525343, 'Unlinked Passenger Trips': 22258, 'Passenger Paid Fares': 39982, 'Average Fare': 1.7962979602839428, 'Average Passengers': 0.4411054429728085}\n", + "Removing VP outlier: expected (np.float64(45.26029611337867), np.float64(484.2876673541539)), got {'NTD ID': 60017.0, 'Mode': 'VP', 'UACE Code': '65080', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 539.1351405471803, 'Unlinked Passenger Trips': 4296, 'Passenger Paid Fares': 12106, 'Average Fare': 2.8179702048417132, 'Average Passengers': 4.230403645833333}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12556.485470992562, 'Unlinked Passenger Trips': 844949, 'Passenger Paid Fares': 1481659, 'Average Fare': 1.753548439018213, 'Average Passengers': 26.09964786557114}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 60101.0, 'Mode': 'DR', 'UACE Code': '23500', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6071.31704171719, 'Unlinked Passenger Trips': 47871, 'Passenger Paid Fares': 367349, 'Average Fare': 7.673727308809091, 'Average Passengers': 0.8329771977398964}\n", + "Removing FB outlier: expected (np.float64(-3112.9950750984176), np.float64(9920.85448106838)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15622.47773339219, 'Unlinked Passenger Trips': 718059, 'Passenger Paid Fares': 297726, 'Average Fare': 0.41462609618429686, 'Average Passengers': 16.733314690529458}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70014.0, 'Mode': 'DR', 'UACE Code': '88084', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6535.617965724188, 'Unlinked Passenger Trips': 22605, 'Passenger Paid Fares': 87214, 'Average Fare': 3.85817297058173, 'Average Passengers': 0.5229933717160966}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 70018.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 16.40478522456975, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5276.666989890317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6080.188058598052, 'Unlinked Passenger Trips': 96815, 'Passenger Paid Fares': 183102, 'Average Fare': 1.8912565201673295, 'Average Passengers': 1.1359562864766601}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 67.25461883453832, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1847.996241252163, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2593.4452382482787, 'Unlinked Passenger Trips': 110313, 'Passenger Paid Fares': 75595, 'Average Fare': 0.6852773471848286, 'Average Passengers': 1.9110903203642928}\n", + "Removing MG outlier: expected (np.float64(444.66825096282145), np.float64(818.623539053656)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1570.7859376694457, 'Unlinked Passenger Trips': 886515, 'Passenger Paid Fares': 5038104, 'Average Fare': 5.683044280130624, 'Average Passengers': 7.19364617622292}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8056.946538959973, 'Unlinked Passenger Trips': 98590, 'Passenger Paid Fares': 1128070, 'Average Fare': 11.442032660513236, 'Average Passengers': 0.7168472600942849}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90027.0, 'Mode': 'DR', 'UACE Code': '31843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 13.424237883555598, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 3304.7704593811004, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14080.826913138942, 'Unlinked Passenger Trips': 220351, 'Passenger Paid Fares': 326496, 'Average Fare': 1.4817087283470463, 'Average Passengers': 1.1918071419393794}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 39.811631971606225, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1924.9165932533485, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4492.448943282007, 'Unlinked Passenger Trips': 771520, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.7183857745037124}\n", + "Removing DR outlier: expected (np.float64(-755.4752976173304), np.float64(5947.539880457944)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 4.9607499441205585, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1132.9479870330815, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8736.720926813161, 'Unlinked Passenger Trips': 198289, 'Passenger Paid Fares': 128375, 'Average Fare': 0.6474136235494656, 'Average Passengers': 0.7502685446068807}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5040.656541940525, 'Unlinked Passenger Trips': 1442723, 'Passenger Paid Fares': 1983377, 'Average Fare': 1.3747455332728458, 'Average Passengers': 2.7056562229231593}\n", + "Removing MB outlier: expected (np.float64(-312.31462718191335), np.float64(2104.8235580380706)), got {'NTD ID': 90159.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3477.649109359535, 'Unlinked Passenger Trips': 811886, 'Passenger Paid Fares': 836900, 'Average Fare': 1.0308097442251745, 'Average Passengers': 3.7424467714658913}\n", "DR desc: count 838.000000\n", "mean 2481.193104\n", "std 1228.383848\n", @@ -15087,33 +14792,6 @@ "50% 167.846333\n", "75% 167.846333\n", "max 167.846333\n", - "dtype: float64\n", - "HR desc: count 24.000000\n", - "mean 37.916627\n", - "std 22.290333\n", - "min 11.438525\n", - "25% 20.954293\n", - "50% 36.956834\n", - "75% 43.505453\n", - "max 94.740233\n", - "dtype: float64\n", - "IP desc: count 6.000000\n", - "mean 2611.258667\n", - "std 2369.964493\n", - "min 138.270568\n", - "25% 675.596074\n", - "50% 2287.572593\n", - "75% 4627.842778\n", - "max 5407.932839\n", - "dtype: float64\n", - "CC desc: count 2.00000\n", - "mean 318.83418\n", - "std 0.00000\n", - "min 318.83418\n", - "25% 318.83418\n", - "50% 318.83418\n", - "75% 318.83418\n", - "max 318.83418\n", "dtype: float64\n" ] }, @@ -15121,39 +14799,6 @@ "name": "stderr", "output_type": "stream", "text": [ - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", @@ -15193,6 +14838,33 @@ "name": "stdout", "output_type": "stream", "text": [ + "HR desc: count 24.000000\n", + "mean 37.916627\n", + "std 22.290333\n", + "min 11.438525\n", + "25% 20.954293\n", + "50% 36.956834\n", + "75% 43.505453\n", + "max 94.740233\n", + "dtype: float64\n", + "IP desc: count 6.000000\n", + "mean 2611.258667\n", + "std 2369.964493\n", + "min 138.270568\n", + "25% 675.596074\n", + "50% 2287.572593\n", + "75% 4627.842778\n", + "max 5407.932839\n", + "dtype: float64\n", + "CC desc: count 2.00000\n", + "mean 318.83418\n", + "std 0.00000\n", + "min 318.83418\n", + "25% 318.83418\n", + "50% 318.83418\n", + "75% 318.83418\n", + "max 318.83418\n", + "dtype: float64\n", "Gasoline desc: count 493.000000\n", "mean 1914.311372\n", "std 1394.336626\n", @@ -15271,100 +14943,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 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9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.backends.backend_pdf:Assigning font /F1 = '/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'\n", "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", @@ -15398,63 +14977,6 @@ " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", @@ -15527,6 +15049,8 @@ " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", "DEBUG:matplotlib.ticker:vmin 0.7848918398503208 vmax 161.80573367181262\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.backends.backend_pdf:Embedding font /Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.\n", + "DEBUG:matplotlib.backends.backend_pdf:Writing TrueType font.\n", "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8285649870487416 vmax 51.89695518412057\n", @@ -15667,28 +15191,18 @@ "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" ] }, - { - "data": { - "image/png": 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dO+0dCgAAyMPsPlItPfHx8frtt980fvx4c5mDg4NatGih7du3Z6nNGTNmaMqUKdYK0aoSthxKUeb352mdfai0HaLJHXZfi5Ak1fHqaedIgNxr7vqU3z3Jnm9Z0YaRAAAAAEDukaM71f755x8lJiaqePHiFuXFixfXgQMHzNstWrTQ3r17FRcXp9KlS2vFihVq2LBhqm2OHz/eYlnXa9euyd/fP3suAAAAAHnb5ZNp7kq4FCuf20k2DAZpyegtj9aW1u2aGb1VEwCQs+XoTrWM+vHHHzNc18XFRS4uLtkYDQAAAAAAAPI6u8+plp4iRYrI0dFR586dsyg/d+6c/Pz87BQVAAAAAAAA8rsc3anm7OysunXrasOGDeaypKQkbdiwIc3bOwEAAAAAAIDsZvfbP2NjY3XkyBHz9vHjx7Vnzx4VLlxYZcqU0ejRo9WvXz/Vq1dP9evX17x58xQXF6f+/fvbMWoAAADAepxOWc69ddufObesKnrr/esENMlQU/aanw0AkPPYfaTarl27VLt2bdWuXVuSNHr0aNWuXVsTJ06UJPXs2VNvvvmmJk6cqFq1amnPnj1as2ZNisULAAAAAAAAkHGbNm2SyWTSlStXJEnh4eHy8fGxa0whISHq3LmzXWPIqCyNVDt27JjKlStnlQCaNm0qwzDSrTN8+HANHz7cKucDAADps/UojODg4EzVDwkJ0ZUrV7Rq1aoU+wICAnTixAlJkqurq8qXL6+RI0dq0KBB1gg1X7BmngcAQF6W03OmZNu3b1eTJk3Upk0bff/99w8ch8lkSlHWuHFjbd2agVHBeUyWRqoFBQUpODhYn3zyiW7evGntmAAAALJs6tSpiomJ0Z9//qk+ffpo8ODBWr16tb3DyjXI8wAAyFsWL16s5557Tps3b9aZM2es0uaSJUsUExNjfnzzzTdWaTe3yVKn2u7du1WjRg2NHj1afn5+Gjp0qHbs2GHt2AAAADLN09NTfn5+KleunMaOHavChQtr/fr19g4r1yDPAwAg74iNjVVERISeffZZPf744woPD7dKuz4+PvLz8zM/ChcuLOnOKLZ77ybw8fGxOO+pU6fUo0cP+fj4qHDhwurUqZOio6PTPNcXX3yh6tWry9XVVb6+vmrRooXi4uKsch0PKku3f9aqVUv//e9/NWfOHH3zzTcKDw9XkyZNVLFiRQ0YMEBPP/20ihYtau1YrSosLExhYWFKTEy02Tl3X4t4oOPP/eun2GJeaqiL96+cC20/mvp1bT/6miSpjlfPLLf9oM89IElz1x9Kc9/zLSvmuziAnC4pKUkrV67U5cuX5ezsbO9wco28kOcBAIA7li9frsqVK6tSpUrq06ePRo0apfHjx6d6C6ctJCQkqHXr1mrYsKG2bNkiJycnTZs2TW3atNG+fftS5GwxMTHq1auXZs2apS5duujff//Vli1b7juNmK080EIFTk5O6tq1q1asWKGZM2fqyJEjevHFF+Xv76++ffsqJibGWnFaXWhoqKKiorRz5057hwIAAKxo7Nix8vDwkIuLi7p3765ChQoxp1oW5OY8DwAA3LF48WL16dNHktSmTRtdvXpVP/300wO326tXL3l4eJgfqc11m5qIiAglJSXpgw8+UPXq1VWlShUtWbJEJ0+e1KZNm1LUj4mJ0e3bt9W1a1cFBASoevXqGjZsmDw8PB74GqzhgTrVdu3apWHDhqlEiRJ666239OKLL+ro0aNav369zpw5o06dOlkrTgAAgAwZM2aM9uzZo40bN6pBgwaaO3eugoKC7B1WrkOeBwBA7nbw4EHt2LFDvXr1knTnB7OePXtq8eLFD9z23LlztWfPHvOjZcuWGTpu7969OnLkiDw9Pc0dcoULF9bNmzd19OjRFPVr1qyp5s2bq3r16nriiSf0/vvv6/Llyw8cv7Vk6fbPt956S0uWLNHBgwfVrl07ffTRR2rXrp0cHO700QUGBio8PFwBAQHWjBUAAOC+ihQpoqCgIAUFBWnFihWqXr266tWrp6pVq9o7tFyBPA8AgLxh8eLFun37tkqWLGkuMwxDLi4umj9/vry9vbPctp+fX6o/WppMphS3ZiYkJJj/jo2NVd26dbVs2bIUx6Y2vYSjo6PWr1+vn3/+WevWrdM777yjl19+Wb/++qsCAwOzHL+1ZKlTbeHChRowYIBCQkJUokSJVOsUK1bMKr2fAAAAWeXv76+ePXtq/Pjx+vrrr+0dTq5Anofc4vTlG1k6rnQhVytHknm/HEt7juRHyvnaMBIAedXt27f10Ucfac6cOWrVqpXFvs6dO+uzzz7TM888Y/XzFi1a1GKKiMOHD+v69evm7Tp16igiIkLFihWTl5dXhto0mUxq3LixGjdurIkTJ6ps2bJauXKlRo8ebfX4MytLnWqHDx++bx1nZ2f169cvK80DAACk6+rVq9qzZ49Fma9v6v8jOnLkSD300EPatWuX6tWrZ4PocjfyPAAAcr/vvvtOly9f1sCBA1OMSOvWrZsWL16cLZ1qzZo10/z589WwYUMlJiZq7NixKlCggHl/7969NXv2bHXq1ElTp05V6dKldeLECX311Vd66aWXVLp0aYv2fv31V23YsEGtWrVSsWLF9Ouvv+rChQuqUqWK1WPPiizNqbZkyRKtWLEiRfmKFSu0dOnSBw4KAAAgPZs2bVLt2rUtHlOmTEm1btWqVdWqVStNnDjRxlHmTuR5AADkfosXL1aLFi1SvcWzW7du2rVrl/bt22f1886ZM0f+/v569NFH9dRTT+nFF1+Um5ubeb+bm5s2b96sMmXKqGvXrqpSpYoGDhyomzdvpjpyzcvLS5s3b1a7du1UsWJFvfLKK5ozZ47atm1r9dizIksj1WbMmKF33303RXmxYsU0ZMgQfrkEACAXCw4OtncI6QoPD1d4eHimjlmzZk32BJMHkecBAJAxOTln+vbbb9PcV79+fYt5z+7+OyQkRCEhIem2fe+caXcrWbKk1q5da1F25coVi20/P790f6i7O8+rUqVKjs7jsjRS7eTJk6lOCFe2bFmdPHnygYMCAACAfZDnAQAAZEyWRqoVK1ZM+/btS7Hq0969e9OczwQAAAA5H3le7pXVifuRN6S1+AELHwBA9snSSLVevXppxIgRioyMVGJiohITE7Vx40aNHDlSTz75pLVjBAAAgI2Q5wEAAGRMlkaqvfbaa4qOjlbz5s3l5HSniaSkJPXt21fTp0+3aoDZJSwsTGFhYUpMTLR3KGny+/N0quWfnPFV+RuHbByN/e2+FmHvEGAFc9fnv/cuAOQmeSHPAwAAsIUsdao5OzsrIiJCr732mvbu3StXV1dVr15dZcuWtXZ82SY0NFShoaG6du1aqqthAAAA5Ed5Ic8DAACwhSx1qiWrWLGiKlasaK1YAAAAkEOQ5wEAYCm9VS+RuyQlJVmlnSx1qiUmJio8PFwbNmzQ+fPnUwSzceNGqwQHAAAA2yLPs4/LiZb/o5Z0Kc78t3dhd1uHg3wircUNJCk42IaBADlcgQIFZDKZdOHCBRUtWlQmk8neISGLDMNQfHy8Lly4IAcHBzk7Oz9Qe1nqVBs5cqTCw8P1+OOP66GHHuINBQAAkEeQ5wEAYMnR0VGlS5fW6dOnFR0dbe9wYAVubm4qU6aMHByytH6nWZY61T7//HMtX75c7dq1e6CTAwAAIGchzwMAICUPDw9VqFBBCQkJ9g4FD8jR0VFOTk5W+eEwywsVBAUFPfDJAQAAkLOQ5wEAkDpHR0c5OjraOwzkIFnqVHvhhRf03//+V/Pnz+eWAAAA8phjx/5r0/OVKzcyw3UNw1DLli3l6OiotWvXWuxbsGCBJkyYoPnz5+vpp582lxcpUkQPP/ywZs6cqerVq1st7ryKPA8AACBjstSptnXrVkVGRmr16tWqVq2aChQoYLH/q6++skpwAAAAdzOZTFqyZImqV6+ud999V0OHDpUkHT9+XC+99JIWLlyo0qVLS5IOHjwoLy8vnTlzRmPGjNHjjz+uI0eOPPCEtHkdeV7OdvryjRxxrtKFXK12DCylt3hATmjP3iIjIzNUL5iVFgDYQJY61Xx8fNSlSxdrxwIAAHBf/v7++u9//6vhw4erVatWCggI0MCBA9WqVSs9/fTT2rRpkySpWLFi8vHxkZ+fn0aNGqWOHTvqwIEDqlGjhn0vIIcjzwMAAMiYLHWqLVmyxNpxAAAAZFi/fv20cuVKDRgwQF27dtWff/6pv/76K9W6V69e1eeffy5JjFLLAPI8AACAjMlSp5ok3b59W5s2bdLRo0f11FNPydPTU2fOnJGXl5c8PDysGSMAAEAK7733nqpVq6bNmzfryy+/VNGiRS32J98GGhcXJ0nq2LGjKleubPM4cyPyPAAAgPvLUqfaiRMn1KZNG508eVK3bt1Sy5Yt5enpqZkzZ+rWrVtatGiRteO0urCwMIWFhSkxMdHeoaSw6Ya/mrqeMm/7/XlaZx8qbbX2j7pWVPkbh6zWHoD0zV2f+uft+ZYVM30MgP8pVqyYhg4dqlWrVqlz584p9m/ZskVubm765ZdfNH369FyRn+QEeSHPAwAAsAWHrBw0cuRI1atXT5cvX5ar6/8mHO3SpYs2bNhgteCyU2hoqKKiorRz5057hwIAALLIyclJTk6p/0YYGBioSpUqqV+/fho0aJB69uxp4+hyp7yQ5wEAANhClkaqbdmyRT///HOKeUkCAgL0999/WyUwAAAAawkNDdWMGTO0cuVKJuG/D/K8nMfplOXqjbf9fe0UCfKTjKyymdEVNq3ZFgDkJFkaqZaUlJTqbZOnT5+Wp6fnAwcFAABgTW5ubho8eLAmTZokwzDsHU6ORp4HAACQMVnqVGvVqpXmzZtn3jaZTIqNjdWkSZPUrl07a8UGAABgNcOHD9f+/fu1YsUKe4eSo5HnAQAAZEyWbv+cM2eOWrdurapVq+rmzZt66qmndPjwYRUpUkSfffaZtWMEAAA2VK7cSHuHkGGTJ0/W5MmTLcqaNm2a6mg0f39/JSQk2Ciy3Is8DwAAIGOy1KlWunRp7d27V59//rn27dun2NhYDRw4UL1797aY0BYAAAC5C3keAABAxmSpU026s9pWnz59rBkLAAAAcgDyPAAAgPvLUqfaRx99lO7+vn37ZikYAAAA2Bd5HvKt6K0ZqxfQJHvjSEXpq7vvW+e0dx0bRGIpI6t6AkBelqVOtZEjLedaSUhI0PXr1+Xs7Cw3NzeSLQAAgFwqp+V5Xbp00aZNm9S8eXN98cUXNj03AABAerK0+ufly5ctHrGxsTp48KCaNGnCBLYAAAC5WE7L80aOHHnf0XMAAAD2kKVOtdRUqFBBb7zxRopfNwEAAJC72TPPa9q0qTw9PW1+XgAAgPuxWqeadGdS2zNnzlizSQAAAOQAWcnzNm/erA4dOqhkyZIymUxatWpVijphYWEKCAhQwYIF1aBBA+3YscNKEQMAAGSvLM2p9s0331hsG4ahmJgYzZ8/X40bN7ZKYAAAALA9a+Z5cXFxqlmzpgYMGKCuXbum2B8REaHRo0dr0aJFatCggebNm6fWrVvr4MGDKlas2ANdBwAAQHbLUqda586dLbZNJpOKFi2qZs2aac6cOdaIK9uFhYUpLCxMiYmJ2X6u3dciMlXfJ+q03HdGSiUKS5LKHD+nMsfP6dumj2dHePdV+tpv961z2quuDSKxneTXrI5XTztHgtxi7vpDNjkGALKbNfO8tm3bqm3btmnuf+uttzR48GD1799fkrRo0SJ9//33+vDDDzVu3LhMx37r1i3dunXLvH3t2rVMtwEAAJBRWepUS0pKsnYcNhcaGqrQ0FBdu3ZN3t7e9g4HAAAgR7BVnhcfH6/ffvtN48ePN5c5ODioRYsW2r59e5banDFjhqZMmWKtEDMt4VKs3c6d252+fMPeIUjKWBynky5abD9Szje7wslXIiMj7R0CAGRaljrVAABA3jX7eIxNzzcmsESmjzl79qxef/11ff/99/r7779VrFgx1apVS6NGjVLz5s0VEBCgEydOSLrTUVO8eHG1bdtWb775pgoVKmTtS0AW/PPPP0pMTFTx4sUtyosXL64DBw6Yt1u0aKG9e/cqLi5OpUuX1ooVK9SwYcNU2xw/frxGjx5t3r527Zr8/f2z5wIAAEC+l6VOtbuTlft56623snIKAACAVEVHR6tx48by8fHR7NmzVb16dSUkJGjt2rUKDQ01d8hMnTpVgwcPVmJiog4dOqQhQ4ZoxIgR+vjjj+18BTlbTsvzfvzxxwzXdXFxkYuLSzZGAwAA8D9Z6lT7/fff9fvvvyshIUGVKlWSJB06dEiOjo6qU6eOuZ7JZLJOlAAAAP9v2LBhMplM2rFjh9zd3c3l1apV04ABA8zbnp6e8vPzkySVKlVK/fr102effWbzeHMbW+V5RYoUkaOjo86dO2dRfu7cOfPrBgAAkJNlqVOtQ4cO8vT01NKlS823UFy+fFn9+/fXo48+qhdeeMGqQQIAAEjSpUuXtGbNGr3++usWHWrJfHx8Uj3u77//1rfffqsGDRpkc4S5n63yPGdnZ9WtW1cbNmwwL46QlJSkDRs2aPjw4VY5BwAAQHZyyMpBc+bM0YwZMyzmJClUqJCmTZuWa1b/BAAAuc+RI0dkGIYqV65837pjx46Vh4eHXF1dVbp0aZlMJqalyABr5nmxsbHas2eP9uzZI0k6fvy49uzZo5MnT0q6c6vp+++/r6VLl2r//v169tlnFRcXZ14NFAAAICfLUqfatWvXdOHChRTlFy5c0L///vvAQQEAAKTGMIwM1x0zZoz27Nmjffv2acOGDZKkxx9/XImJidkVXp5gzTxv165dql27tmrXri3pTida7dq1NXHiRElSz5499eabb2rixImqVauW9uzZozVr1qRYvAAAACAnytLtn126dFH//v01Z84c1a9fX5L066+/asyYMeratatVAwQAAEhWoUIFmUwmi9Uh01KkSBEFBQWZj5s3b54aNmyoyMhItWjRIrtDzbWsmec1bdr0vh2hw4cPt/rtnmFhYQoLC8vVHagO1278b8Mx++YpPn35xv0rwULpq7sttk//nnq90951Ut+RS/xy7GKa+x4p52vDSFKX0+MDkD9kaaTaokWL1LZtWz311FMqW7asypYtq6eeekpt2rTRggULrB0jAACAJKlw4cJq3bq1wsLCFBcXl2L/lStX0jzW0dFRknTjBp0I6ckLeV5oaKiioqK0c+dOe4cCAADysCyNVHNzc9OCBQs0e/ZsHT16VJJUvnz5VCcMBgAAsKawsDA1btxY9evX19SpU1WjRg3dvn1b69ev18KFC7V//35J0r///quzZ8/KMAydOnVKL730kooWLapGjRrZ+QpyNvI8AACAjMnSSLVkMTExiomJUYUKFeTu7p6peU4AAACyoly5ctq9e7eCg4P1wgsv6KGHHlLLli21YcMGLVy40Fxv4sSJKlGihEqWLKn27dvL3d1d69atk68vtwVlBHkeAABA+rI0Uu3ixYvq0aOHIiMjZTKZdPjwYZUrV04DBw5UoUKFWAEUAIBcbExgCXuHcF8lSpTQ/PnzNX/+/FT3R0dH2zagPIQ8DwAAIGOyNFLt+eefV4ECBXTy5Em5ubmZy3v27Kk1a9ZYLTgAAADYFnkeAABAxmRppNq6deu0du1alS5d2qK8QoUKOnHihFUCAwAAgO2R5wEAAGRMlkaqxcXFWfxymezSpUtycXF54KAAAABgH+R5AAAAGZOlTrVHH31UH330kXnbZDIpKSlJs2bNUnBwsNWCAwAAgG2R5wEAAGRMlm7/nDVrlpo3b65du3YpPj5eL730kv766y9dunRJ27Zts3aM2SIsLExhYWFKTEzM9nN1ObdNK4s3TrfOphv+aqxDmW77qGtFSVL5G5k/NqPtX3DwVO0rm7KlfXvafS1CklTHq6edI0FOMnd99nyWACC3IM/L+ZxOXbTYvu3PirawvtJXd6e9M9r1zn8DmtgmGADIobI0Uu2hhx7SoUOH1KRJE3Xq1ElxcXHq2rWrfv/9d5UvX97aMWaL0NBQRUVFaefOnfYOBQAAIMcgzwMAAMiYTI9US0hIUJs2bbRo0SK9/PLL2RETAAAA7IA8DwAAIOMyPVKtQIEC2rdvX3bEAgAAADsizwMAAMi4LN3+2adPHy1evNjasQAAAMDOyPMAAAAyJksLFdy+fVsffvihfvzxR9WtW1fu7u4W+9966y2rBAcAAADbIs8DAADImEx1qh07dkwBAQH6888/VadOHUnSoUOWK+WZTCbrRQcAAGzO1qvgPt+yYqbqh4SEaOnSpRo6dKgWLVpksS80NFQLFixQv379FB4eLkk6e/asZsyYoe+//16nT5+Wt7e3goKC1KdPH/Xr109ubm7WupRcjTwPAAAgczLVqVahQgXFxMQoMjJSktSzZ0+9/fbbKl68eLYEBwAAkBp/f399/vnnmjt3rlxdXSVJN2/e1KeffqoyZcqY6x07dkyNGzeWj4+Ppk+frurVq8vFxUV//PGH3nvvPZUqVUodO3a012XkKOR5AAAAmZOpTjXDMCy2V69erbi4OKsGBAAAcD916tTR0aNH9dVXX6l3796SpK+++kplypRRYGCgud6wYcPk5OSkXbt2WdzGWK5cOXXq1ClFbpOfkecBAABkTpYWKkhGIgoAAOxlwIABWrJkiXn7ww8/VP/+/c3bFy9e1Lp16xQaGppiXrBk3M6YNvI8AACA9GVqpJrJZEqRfJKMAgAAe+jTp4/Gjx+vEydOSJK2bdumzz//XJs2bZIkHTlyRIZhqFKlShbHFSlSRDdv3pR0Zw62mTNn2jTunCov5XlhYWEKCwtTYmKiTc537WaCJMnhdpJNzpcZTqcuWmzf9ve1UyQ5x+nLN2xyntJXd9+3zmnvOjaIxPqSn8PTSZbvr0fKZe399cuxi2k+X6ULuVoWBDTJ0jkAIDtk+vbPkJAQubi4SLozd8kzzzyT4tffr776ynoRAgAApKJo0aJ6/PHHFR4eLsMw9Pjjj6tIkSL3PW7Hjh1KSkpS7969devWLRtEmjvkpTwvNDRUoaGhunbtmry9ve0dDgAAyKMy1anWr18/i+0+ffpYNRgAAIDMGDBggIYPHy7pzuikuwUFBclkMungwYMW5eXKlZMk8wIHuIM8DwAAIHMy1al297wlAAAA9tamTRvFx8fLZDKpdevWFvt8fX3VsmVLzZ8/X88991ya86rhDvI8AACAzHmghQoAAADsydHRUfv371dUVJQcHR1T7F+wYIFu376tevXqKSIiQvv379fBgwf1ySef6MCBA6keAwAAAGREpkaqAQAA5DReXl5p7itfvrx+//13TZ8+XePHj9fp06fl4uKiqlWr6sUXX9SwYcNsGCkAAADyEjrVAACAhedbVrR3COkKDw9Pd/+qVasstkuUKKF33nlH77zzTvYFBQAAgHyH2z8BAAAAAACATKJTDQAAAAAAAMgkOtUAAAAAAACATKJTDQAAAAAAAMikfLtQQVhYmMLCwpSYmGiT85U+6q/T5U+lKP/kjO///3Vdpy/dkCRdMyXo2s0ESVJL4w8dVDFtrtnUfIzH+WuSp2U7R13/N6l0+RuHJEldzm2TJK0s3jjFebuc26ayx8/pt7ggSdKW5jXMbZS/cUiPbth3p932GZus+qhrRfN57emRk++Z/z7vcCRjx1y5mqIs+djz134zl3VMCjL//UuZIZKk3dciJEl1vHqmG0taktsBbGHu+sx/RtM7JqdPZg8g/7J1npfdLicaqZYXcjSlWn71Upz5b4e7ji3kaJLTqYsWdW/7+wr2U/rqbnuHYDO/HLt4/0pWPNcvx75Idd8j5f73ng8ODrZVSADyqHw7Ui00NFRRUVHauXOnvUMBAACAFZHnAQAAW8i3nWoAAAAAAABAVtGpBgAAAAAAAGQSnWoAAAAAAABAJtGpBgAAAAAAAGRSvl39EwAApCFyhm3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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "name": "stdout", "output_type": "stream", "text": [ - "Creating ../src/emcommon/resources/ntd2018_intensities.json\n" + "Saved figure as plots/distribution_of_wh_pkm_after_removing_outliers_2019_3.pdf\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -15696,18 +15210,84 @@ "name": "stdout", "output_type": "stream", "text": [ - "dropping 16 rows with missing UACE Code\n" + "dropping 16 rows with missing UACE Code\n", + "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n", + "Index([ 'Agency',\n", + " 'City',\n", + " 'State',\n", + " 'Legacy NTD ID',\n", + " 'NTD ID',\n", + " 'Organization Type',\n", + " 'NTD Reporter Type',\n", + " 'Primary UZA Population',\n", + " 'Agency VOMS',\n", + " 'Mode',\n", + " 'Type of Service',\n", + " 'Mode VOMS',\n", + " 'Mode VOMS Questionable',\n", + " 'Max Trains in Operation',\n", + " 'Max Trains in Operation Questionable',\n", + " 'Average Speed (mi/hr)',\n", + " 'Average Speed (mi/hr) Questionable',\n", + " 'Average Passenger Trip Length (mi)',\n", + " 'Average Passenger Trip Length (mi) Questionable',\n", + " 'Passengers per Hour',\n", + " 'Passengers per Hour Questionable',\n", + " 'Scheduled Vehicle Revenue Miles',\n", + " 'Scheduled Vehicle Revenue Miles Questionable',\n", + " 'Vehicle Miles',\n", + " 'Vehicle Miles Questionable',\n", + " 'Vehicle Revenue Miles',\n", + " 'Vehicle Revenue Miles Questionable',\n", + " 'Deadhead Miles',\n", + " 'Deadhead Miles Questionable',\n", + " 'Vehicle Hours',\n", + " 'Vehicle Hours Questionable',\n", + " 'Vehicle \\nRevenue \\nHours',\n", + " 'Vehicle Revenue Hours Questionable',\n", + " 'Deadhead Hours',\n", + " 'Deadhead Hours Questionable',\n", + " 'Train Miles',\n", + " 'Train Miles Questionable',\n", + " 'Train \\nRevenue\\nMiles',\n", + " 'Train Revenue Miles Questionable',\n", + " 'Train Hours',\n", + " 'Train Hours Questionable',\n", + " 'Train \\nRevenue \\nHours',\n", + " 'Train Revenue Hours Questionable',\n", + " 'Unlinked Passenger Trips',\n", + " 'Unlinked Passenger Trips Questionable',\n", + " 'Passenger Miles',\n", + " 'Passenger Miles Questionable',\n", + " 'Directional Route Miles',\n", + " 'Directional Route Miles Questionable',\n", + " 'Any data questionable',\n", + " 'Unnamed: 50',\n", + " 'Unnamed: 51',\n", + " 'Unnamed: 52',\n", + " 'Unnamed: 53',\n", + " 'Unnamed: 54',\n", + " 'Unnamed: 55',\n", + " 'Unnamed: 56',\n", + " 'Unnamed: 57',\n", + " 'Unnamed: 58',\n", + " 'Unnamed: 59',\n", + " 'Unnamed: 60',\n", + " 'Unnamed: 61',\n", + " 'Unnamed: 62',\n", + " 1],\n", + " dtype='object')\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/2575560671.py:29: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/146710289.py:35: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " engine_km = df['Train km'].replace(0, pd.NA).fillna(df['Vehicle km'])\n", - "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_3508/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", + "/var/folders/zp/zk66zxkj0_5d59vffwm9xkf5yvy8rv/T/ipykernel_1550/3991290417.py:18: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n", " df = df.apply(pd.to_numeric, errors='ignore')\n" ] }, @@ -15716,209 +15296,209 @@ "output_type": "stream", "text": [ "Removing outliers\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 6.0, 'Mode': 'DR', 'UACE Code': '97507', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11113.067118725423, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11113.067118725423, 'Unlinked Passenger Trips': 69112, 'Passenger Paid Fares': 83154, 'Average Fare': 1.2031774510938766}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': 78.1206090549862, 'Diesel (%)': 21.879390945013803, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10586.788391113618, 'Diesel (Wh/pkm)': 5117.002539938507, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9390.032560879963, 'Unlinked Passenger Trips': 455807, 'Passenger Paid Fares': 415049, 'Average Fare': 0.9105805746730524}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 43.0, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': 19.313615480702055, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 80.68638451929795, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5794.392063614663, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2587.87804035923, 'Unlinked Passenger Trips': 54888, 'Passenger Paid Fares': 40038, 'Average Fare': 0.7294490599038042}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 46.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': 12.167811804510757, 'Diesel (%)': 82.91341093924414, 'LPG (%)': None, 'CNG (%)': 4.918777256245104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6146.198727378309, 'Diesel (Wh/pkm)': 1437.6416507757651, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 885.8418663791017, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1983.428212269824, 'Unlinked Passenger Trips': 269167, 'Passenger Paid Fares': 191522, 'Average Fare': 0.7115359609461784}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 376.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2794.64187695904, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2794.64187695904, 'Unlinked Passenger Trips': 110156, 'Passenger Paid Fares': 3605, 'Average Fare': 0.03272631540724064}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8105.551988473328, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8105.551988473328, 'Unlinked Passenger Trips': 6577, 'Passenger Paid Fares': 22454, 'Average Fare': 3.4140185494906494}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10098.0, 'Mode': 'DR', 'UACE Code': '49339', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12884.083755389069, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12884.083755389069, 'Unlinked Passenger Trips': 49103, 'Passenger Paid Fares': 32285, 'Average Fare': 0.6574954687086328}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 54.50734680924864, 'Diesel (%)': 45.49265319075136, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3687.6904829664377, 'Diesel (Wh/pkm)': 6888.145960602369, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357, 'Passenger Paid Fares': 29557, 'Average Fare': 0.1787465907097976}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 57.80987712238097, 'Diesel (%)': 42.19012287761903, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8480.409476467026, 'Diesel (Wh/pkm)': 4942.24554735985, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6987.653767165117, 'Unlinked Passenger Trips': 181100, 'Passenger Paid Fares': 405350, 'Average Fare': 2.2382661512976254}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30002.0, 'Mode': 'DR', 'UACE Code': '40753', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5808.439419361114, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5808.439419361114, 'Unlinked Passenger Trips': 36205, 'Passenger Paid Fares': 166348, 'Average Fare': 4.594614003590665}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30007.0, 'Mode': 'MB', 'UACE Code': '75421', 'Gasoline (%)': 0.5457824391161087, 'Diesel (%)': 99.45421756088389, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4499.609981482942, 'Diesel (Wh/pkm)': 849.5055197147626, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 869.4271488764867, 'Unlinked Passenger Trips': 1983028, 'Passenger Paid Fares': 1751754, 'Average Fare': 0.8833733058736437}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30023.0, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': 0.11380799743326644, 'Diesel (%)': 80.79626249693536, 'LPG (%)': None, 'CNG (%)': 19.08992950563138, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8820.320070101367, 'Diesel (Wh/pkm)': 1030.6227688539873, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 126.34674255886999, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 866.8624114025878, 'Unlinked Passenger Trips': 798836, 'Passenger Paid Fares': 1352911, 'Average Fare': 1.6936029422810188}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 24.051226235968002, 'Diesel (%)': 75.948773764032, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12339.037521713153, 'Diesel (Wh/pkm)': 2822.231994802768, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305, 'Passenger Paid Fares': 382410, 'Average Fare': 1.0584132519616392}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': 15.423117925496122, 'Diesel (%)': 80.73840997364256, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8384721008613156, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2668.8434518135027, 'Diesel (Wh/pkm)': 1576.7681647442691, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 230.98210223983403, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1693.5426015576447, 'Unlinked Passenger Trips': 676178, 'Passenger Paid Fares': 550353, 'Average Fare': 0.81391734129179}\n", - "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1998.8523367002883, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1998.8523367002883, 'Unlinked Passenger Trips': 1357102, 'Passenger Paid Fares': 9268545, 'Average Fare': 6.829659819232453}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30081.0, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 748615.0311372413, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 748615.0311372413, 'Unlinked Passenger Trips': 13267, 'Passenger Paid Fares': 24688, 'Average Fare': 1.860857767392779}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': 58.591875499866696, 'Diesel (%)': 41.4081245001333, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5799.896030410843, 'Diesel (Wh/pkm)': 12780.33638603924, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828, 'Passenger Paid Fares': 4853, 'Average Fare': 0.16269947700147513}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30096.0, 'Mode': 'DR', 'UACE Code': '78364', 'Gasoline (%)': 3.509374003147597, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 96.4906259968524, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 27976.149222301876, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2243.368717697657, 'Unlinked Passenger Trips': 50174, 'Passenger Paid Fares': 190490, 'Average Fare': 3.7965878741977916}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30096.0, 'Mode': 'MB', 'UACE Code': '78364', 'Gasoline (%)': 3.252388495417508, 'Diesel (%)': 31.534019719505014, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 65.21359178507748, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4770.394932233527, 'Diesel (Wh/pkm)': 932.708842450257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 585.6778457193153, 'Unlinked Passenger Trips': 277371, 'Passenger Paid Fares': 232821, 'Average Fare': 0.8393847950939356}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30111.0, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': 3.171284099717795, 'Diesel (%)': 96.8287159002822, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4254.593432416648, 'Diesel (Wh/pkm)': 1190.9331873497686, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1288.0905575709496, 'Unlinked Passenger Trips': 88802, 'Passenger Paid Fares': 142323, 'Average Fare': 1.6027003896308643}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40041.0, 'Mode': 'DR', 'UACE Code': '86599', 'Gasoline (%)': 13.643168687558507, 'Diesel (%)': 2.7512935635154925, 'LPG (%)': None, 'CNG (%)': 83.60553774892601, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9355.63097386445, 'Diesel (Wh/pkm)': 6453.923543517437, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 923.7732989417871, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2226.296532758081, 'Unlinked Passenger Trips': 172054, 'Passenger Paid Fares': 205622, 'Average Fare': 1.1951015378892673}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40044.0, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': 41.736414061461495, 'Diesel (%)': 58.26358593853851, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2617.275161765459, 'Diesel (Wh/pkm)': 1668.4975402860869, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2064.483296909204, 'Unlinked Passenger Trips': 605572, 'Passenger Paid Fares': 534686, 'Average Fare': 0.8829437292345088}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40051.0, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6537.162696105448, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6537.162696105448, 'Unlinked Passenger Trips': 62280, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40058.0, 'Mode': 'DR', 'UACE Code': '76204', 'Gasoline (%)': 38.369417622208815, 'Diesel (%)': 61.630582377791185, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6456.441842615874, 'Diesel (Wh/pkm)': 393.08392051514, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2719.559043575253, 'Unlinked Passenger Trips': 23556, 'Passenger Paid Fares': 48500, 'Average Fare': 2.0589234165393107}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11476.34359034371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11476.34359034371, 'Unlinked Passenger Trips': 7566, 'Passenger Paid Fares': 10606, 'Average Fare': 1.401797515199577}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': 14.826625468758253, 'Diesel (%)': 85.17337453124173, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3219.3785631707374, 'Diesel (Wh/pkm)': 2258.2990544845775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349, 'Passenger Paid Fares': 12724, 'Average Fare': 1.7313920261260036}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 1.4319517220717441, 'Diesel (%)': 98.56804827792824, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14978.330112522732, 'Diesel (Wh/pkm)': 3084.498572395536, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118, 'Passenger Paid Fares': 66420, 'Average Fare': 0.8725925536666754}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': 49.48745006406875, 'Diesel (%)': 50.51254993593126, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2761.411531136123, 'Diesel (Wh/pkm)': 3980.295590641411, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437, 'Passenger Paid Fares': 10162, 'Average Fare': 0.22365032902700444}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 44929.0, 'Mode': 'MB', 'UACE Code': '56602', 'Gasoline (%)': 13.534805935635344, 'Diesel (%)': 86.46519406436465, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3089.786635039452, 'Diesel (Wh/pkm)': 946.5226055352072, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1236.609232616885, 'Unlinked Passenger Trips': 301753, 'Passenger Paid Fares': 128650, 'Average Fare': 0.42634207447813277}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50031.0, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.06677593802456412, 'Diesel (%)': 37.28339453558364, 'LPG (%)': 62.6498295263918, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 28420.76896999879, 'Diesel (Wh/pkm)': 3034.023973008439, 'LPG (Wh/pkm)': 3767.9036421910714, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3510.7505717858503, 'Unlinked Passenger Trips': 404441, 'Passenger Paid Fares': 904181, 'Average Fare': 2.2356314023553496}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 32.7034781203998, 'Diesel (%)': 67.2965218796002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3372.470915609198, 'Diesel (Wh/pkm)': 2904.1064326828364, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250, 'Passenger Paid Fares': 126354, 'Average Fare': 0.5237471502590674}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50117.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 1.7255528125037476, 'Diesel (%)': 98.27444718749625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7620.351356327595, 'Diesel (Wh/pkm)': 1595.5443531402889, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1699.5055798317098, 'Unlinked Passenger Trips': 300587, 'Passenger Paid Fares': 315484, 'Average Fare': 1.0495596948637167}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50154.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 37.56249921578268, 'Diesel (%)': 62.43750078421733, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7711.119572277913, 'Diesel (Wh/pkm)': 203.22179096075513, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3023.3758361897776, 'Unlinked Passenger Trips': 249133, 'Passenger Paid Fares': 957533, 'Average Fare': 3.8434611231751714}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': 7.618859974841241, 'Diesel (%)': 92.38114002515876, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 130764.80456454691, 'Diesel (Wh/pkm)': 6031.774530098047, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864, 'Passenger Paid Fares': 65622, 'Average Fare': 0.78248115997329}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50199.0, 'Mode': 'MB', 'UACE Code': '19234', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15226.807026426668, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15226.807026426668, 'Unlinked Passenger Trips': 46693, 'Passenger Paid Fares': 28388, 'Average Fare': 0.6079712162422632}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50516.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6162.968327374853, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6879.000620670795, 'Unlinked Passenger Trips': 27514, 'Passenger Paid Fares': 55580, 'Average Fare': 2.020062513629425}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60008.0, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6170.23624190135, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6170.23624190135, 'Unlinked Passenger Trips': 1774466, 'Passenger Paid Fares': 1667202, 'Average Fare': 0.9395513917989976}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60056.0, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 0.4229515631531351, 'Diesel (%)': 0.8162601803711789, 'LPG (%)': None, 'CNG (%)': 98.76078825647568, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 56578.56876484522, 'Diesel (Wh/pkm)': 1750.1352972552818, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 705.3261443551193, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 950.1712584788235, 'Unlinked Passenger Trips': 356620, 'Passenger Paid Fares': 885456, 'Average Fare': 2.4829117828500924}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60111.0, 'Mode': 'MB', 'UACE Code': '01171', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10331.822965799565, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10331.822965799565, 'Unlinked Passenger Trips': 6046, 'Passenger Paid Fares': 4028, 'Average Fare': 0.6662256037049289}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60114.0, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 23032.357706238046, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 23032.357706238046, 'Unlinked Passenger Trips': 71545, 'Passenger Paid Fares': 17522, 'Average Fare': 0.24490879865818715}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70001.0, 'Mode': 'DR', 'UACE Code': '49933', 'Gasoline (%)': 23.4193405150778, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 76.5806594849222, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11958.124993510259, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1165.6582009467622, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3693.1827490739024, 'Unlinked Passenger Trips': 41222, 'Passenger Paid Fares': 38103, 'Average Fare': 0.924336519334336}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 45.5649118472614, 'Diesel (%)': 54.43508815273861, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2697.1500012766455, 'Diesel (Wh/pkm)': 3874.404131945913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470, 'Passenger Paid Fares': 40336, 'Average Fare': 0.42249921441290456}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90009.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.6720749769184331, 'Diesel (%)': 99.32792502308156, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2908.6547102614213, 'Diesel (Wh/pkm)': 1158.5330090041775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1170.7712283178523, 'Unlinked Passenger Trips': 11457737, 'Passenger Paid Fares': 14831331, 'Average Fare': 1.2944380727188973}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90023.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 11.704857463120852, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 88.29514253687914, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6053.530543802882, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 754.8540187074735, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1375.0565534017362, 'Unlinked Passenger Trips': 38986, 'Passenger Paid Fares': 65200, 'Average Fare': 1.672395218796491}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90026.0, 'Mode': 'MB', 'UACE Code': '78661', 'Gasoline (%)': 0.1790676898612206, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.82093231013877, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8132.059779471925, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 220.9074420019436, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 266.88838963832495, 'Unlinked Passenger Trips': 47554177, 'Passenger Paid Fares': 38823976, 'Average Fare': 0.8164156852088934}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90030.0, 'Mode': 'MB', 'UACE Code': '78661', 'Gasoline (%)': 4.359204201684005, 'Diesel (%)': 2.8828095986382065, 'LPG (%)': None, 'CNG (%)': 92.75798619967779, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3062.729926633984, 'Diesel (Wh/pkm)': 1541.4742461877888, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 322.0625085819305, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 476.6871164424627, 'Unlinked Passenger Trips': 6508713, 'Passenger Paid Fares': 6597733, 'Average Fare': 1.0136770510544866}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 98.90832118514417, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 1.0916788148558296, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8667.71062616348, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.37494037643586, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8576.671865182032, 'Unlinked Passenger Trips': 202456, 'Passenger Paid Fares': 156021, 'Average Fare': 0.7706415221085076}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': 3.4222808886458553, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 96.57771911135414, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4457.213591638153, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 544.5138603761055, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 678.4174355091844, 'Unlinked Passenger Trips': 1474542, 'Passenger Paid Fares': 1633869, 'Average Fare': 1.1080518561017592}\n", - "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 584.0544347266375, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 584.0544347266375, 'Unlinked Passenger Trips': 607617, 'Passenger Paid Fares': 2505057, 'Average Fare': 4.122756604900784}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90162.0, 'Mode': 'DR', 'UACE Code': '02683', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13427.18241542374, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13427.18241542374, 'Unlinked Passenger Trips': 125558, 'Passenger Paid Fares': 323605, 'Average Fare': 2.5773347775530033}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90173.0, 'Mode': 'MB', 'UACE Code': '56251', 'Gasoline (%)': 22.906964852556932, 'Diesel (%)': 77.09303514744306, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2585.3958944174265, 'Diesel (Wh/pkm)': 1696.7237980147095, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1900.291602792161, 'Unlinked Passenger Trips': 834591, 'Passenger Paid Fares': 1185148, 'Average Fare': 1.4200344839568124}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90200.0, 'Mode': 'DR', 'UACE Code': '36703', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15066.488335026846, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15066.488335026846, 'Unlinked Passenger Trips': 14294, 'Passenger Paid Fares': 23403, 'Average Fare': 1.6372603889743949}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90201.0, 'Mode': 'MB', 'UACE Code': '89083', 'Gasoline (%)': 48.27907886520768, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 51.72092113479232, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3735.896669942998, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 427.35595515035294, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2024.6889361325998, 'Unlinked Passenger Trips': 144918, 'Passenger Paid Fares': 123429, 'Average Fare': 0.8517161429222043}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90229.0, 'Mode': 'MB', 'UACE Code': '77068', 'Gasoline (%)': 8.66816107960013, 'Diesel (%)': 91.33183892039986, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7925.611481049444, 'Diesel (Wh/pkm)': 20.2962446071753, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 705.541703152163, 'Unlinked Passenger Trips': 177436, 'Passenger Paid Fares': 227680, 'Average Fare': 1.283166888342839}\n", - "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90233.0, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 502.1240769356721, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 502.1240769356721, 'Unlinked Passenger Trips': 67622, 'Passenger Paid Fares': 369539, 'Average Fare': 5.4647747774392945}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90244.0, 'Mode': 'DR', 'UACE Code': '90946', 'Gasoline (%)': 39.673666382545356, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 60.326333617454644, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9389.129623657875, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 211.8639073207816, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3852.8216906600715, 'Unlinked Passenger Trips': 17246, 'Passenger Paid Fares': 41295, 'Average Fare': 2.39446828250029}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 11.0, 'Mode': 'MB', 'UACE Code': '08785', 'Gasoline (%)': 0.9389645326277976, 'Diesel (%)': 1.1976622378432875, 'LPG (%)': None, 'CNG (%)': 97.86337322952892, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 627.9508035365685, 'Diesel (Wh/pkm)': 4515.689694223164, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 351.1469779683809, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 403.6232232068598, 'Unlinked Passenger Trips': 1290296, 'Passenger Paid Fares': 606419, 'Average Fare': 0.46998440667877756}\n", - "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 10003.0, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 30.634592641044446, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 69.36540735895555, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1025.7268435915569, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 556.9508697080313, 'Unlinked Passenger Trips': 10540640, 'Passenger Paid Fares': 10590933, 'Average Fare': 1.004771342157592}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10057.0, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 49.363776737512424, 'Diesel (%)': 50.636223262487576, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1352.722837987954, 'Diesel (Wh/pkm)': 6364.965643667233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3890.7332955296856, 'Unlinked Passenger Trips': 100871, 'Passenger Paid Fares': 296864, 'Average Fare': 2.943006414132902}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10064.0, 'Mode': 'MB', 'UACE Code': '72505', 'Gasoline (%)': 25.805280596577074, 'Diesel (%)': 74.19471940342291, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 627.9906451286073, 'Diesel (Wh/pkm)': 2332.431738666302, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1892.5959318755326, 'Unlinked Passenger Trips': 729007, 'Passenger Paid Fares': 540501, 'Average Fare': 0.7414208642715365}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': 45.49265319075136, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6888.145960602369, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357, 'Passenger Paid Fares': 29557, 'Average Fare': 0.1787465907097976}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1851.5980796600195, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1851.5980796600195, 'Unlinked Passenger Trips': 187392, 'Passenger Paid Fares': 637296, 'Average Fare': 3.4008709016393444}\n", - "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 10102.0, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1647.8048169276612, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1647.8048169276612, 'Unlinked Passenger Trips': 720765, 'Passenger Paid Fares': 2258611, 'Average Fare': 3.1336302400921245}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20003.0, 'Mode': 'DR', 'UACE Code': '07732', 'Gasoline (%)': 93.77046718814798, 'Diesel (%)': 6.229532811852021, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1900.525269257243, 'Diesel (Wh/pkm)': 14789.919728294317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2703.4743263319942, 'Unlinked Passenger Trips': 81398, 'Passenger Paid Fares': 180421, 'Average Fare': 2.216528661637878}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2506.570613547485, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2506.570613547485, 'Unlinked Passenger Trips': 207876, 'Passenger Paid Fares': 349357, 'Average Fare': 1.6806028593969482}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20010.0, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13309.127568372347, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13309.127568372347, 'Unlinked Passenger Trips': 22064, 'Passenger Paid Fares': 45485, 'Average Fare': 2.0615029006526466}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20071.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2346.8857009019134, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2346.8857009019134, 'Unlinked Passenger Trips': 113869, 'Passenger Paid Fares': 133435, 'Average Fare': 1.1718290316064952}\n", - "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 20078.0, 'Mode': 'CR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 0.02233911609670878, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 95.4577190615149, 'Other (%)': 4.519941822388397, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 60275.17043338498, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 25.13262885249702, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37.45597454339279, 'Unlinked Passenger Trips': 91873366, 'Passenger Paid Fares': 740271044, 'Average Fare': 8.05751521066508}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2644.552506718471, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2644.552506718471, 'Unlinked Passenger Trips': 399621, 'Passenger Paid Fares': 604607, 'Average Fare': 1.512951021092485}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20113.0, 'Mode': 'DR', 'UACE Code': '75664', 'Gasoline (%)': 99.00046163988343, 'Diesel (%)': 0.9995383601165855, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3982.8143788809634, 'Diesel (Wh/pkm)': 6930.259111904595, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4012.2752196307715, 'Unlinked Passenger Trips': 214900, 'Passenger Paid Fares': 410490, 'Average Fare': 1.9101442531409958}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30012.0, 'Mode': 'DR', 'UACE Code': '43291', 'Gasoline (%)': 94.45366729266749, 'Diesel (%)': 0.5680698077382003, 'LPG (%)': None, 'CNG (%)': 4.97826289959431, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1756.1450588142866, 'Diesel (Wh/pkm)': 14249.680416895262, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1245.958852590127, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1801.7186504793358, 'Unlinked Passenger Trips': 63768, 'Passenger Paid Fares': 950406, 'Average Fare': 14.904121189311253}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9751.589502345398, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9751.589502345398, 'Unlinked Passenger Trips': 3819821, 'Passenger Paid Fares': 20089000, 'Average Fare': 5.259146960027708}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': 75.948773764032, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2822.231994802768, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305, 'Passenger Paid Fares': 382410, 'Average Fare': 1.0584132519616392}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 41.4081245001333, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12780.33638603924, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828, 'Passenger Paid Fares': 4853, 'Average Fare': 0.16269947700147513}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40002.0, 'Mode': 'MB', 'UACE Code': '45640', 'Gasoline (%)': 18.68604845959048, 'Diesel (%)': 81.31395154040952, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1413.3599159568573, 'Diesel (Wh/pkm)': 2251.926287613208, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2095.2313690396727, 'Unlinked Passenger Trips': 2634231, 'Passenger Paid Fares': 1705653, 'Average Fare': 0.6474956068773012}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7403.558620491305, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7403.558620491305, 'Unlinked Passenger Trips': 518302, 'Passenger Paid Fares': 359486, 'Average Fare': 0.6935840494537934}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40025.0, 'Mode': 'DR', 'UACE Code': '79768', 'Gasoline (%)': 77.03921017596748, 'Diesel (%)': 22.960789824032517, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3199.035118675693, 'Diesel (Wh/pkm)': 11986.019536252636, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5216.596142666022, 'Unlinked Passenger Trips': 108200, 'Passenger Paid Fares': 168881, 'Average Fare': 1.560822550831793}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40031.0, 'Mode': 'DR', 'UACE Code': '46828', 'Gasoline (%)': 97.22514343206889, 'Diesel (%)': 2.7748565679311046, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4353.863517455607, 'Diesel (Wh/pkm)': 16950.821259646582, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4703.4110267242995, 'Unlinked Passenger Trips': 108299, 'Passenger Paid Fares': 72237, 'Average Fare': 0.6670144692010083}\n", - "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2928.1153343519086, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2928.1153343519086, 'Unlinked Passenger Trips': 1038345, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 14922.442822659325, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14922.442822659325, 'Unlinked Passenger Trips': 437999, 'Passenger Paid Fares': 1452129, 'Average Fare': 3.315370583037861}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40041.0, 'Mode': 'DR', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 2.7512935635154925, 'LPG (%)': None, 'CNG (%)': 83.60553774892601, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6453.923543517437, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 923.7732989417871, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2226.296532758081, 'Unlinked Passenger Trips': 172054, 'Passenger Paid Fares': 205622, 'Average Fare': 1.1951015378892673}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40046.0, 'Mode': 'CB', 'UACE Code': '09536', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1804.0730486777745, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1804.0730486777745, 'Unlinked Passenger Trips': 12324, 'Passenger Paid Fares': 66135, 'Average Fare': 5.3663583252190845}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 54.72462646873942, 'Diesel (%)': 45.27537353126058, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4945.74764085911, 'Diesel (Wh/pkm)': 5676.022581452148, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5276.382348017799, 'Unlinked Passenger Trips': 7482, 'Passenger Paid Fares': 20853, 'Average Fare': 2.7870890136327184}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40063.0, 'Mode': 'MB', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4351.2434742743235, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4351.2434742743235, 'Unlinked Passenger Trips': 2118469, 'Passenger Paid Fares': 734165, 'Average Fare': 0.34655451649280683}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40078.0, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2471.6955327734104, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2471.6955327734104, 'Unlinked Passenger Trips': 328614, 'Passenger Paid Fares': 528738, 'Average Fare': 1.6089941390202487}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40100.0, 'Mode': 'DR', 'UACE Code': '85708', 'Gasoline (%)': 63.57857051653523, 'Diesel (%)': 1.9157671417206055, 'LPG (%)': 34.505662341744184, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 403.64555122093793, 'Diesel (Wh/pkm)': 7802.35711721948, 'LPG (Wh/pkm)': 1046.9980177403777, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 767.3806660775007, 'Unlinked Passenger Trips': 20607, 'Passenger Paid Fares': 8618, 'Average Fare': 0.418207405250643}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 85.17337453124173, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2258.2990544845775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349, 'Passenger Paid Fares': 12724, 'Average Fare': 1.7313920261260036}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 98.56804827792824, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3084.498572395536, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118, 'Passenger Paid Fares': 66420, 'Average Fare': 0.8725925536666754}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 50.51254993593126, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3980.295590641411, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437, 'Passenger Paid Fares': 10162, 'Average Fare': 0.22365032902700444}\n", - "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 37767.844905213315, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37767.844905213315, 'Unlinked Passenger Trips': 46490, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2383.3248085743967, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2383.3248085743967, 'Unlinked Passenger Trips': 117372, 'Passenger Paid Fares': 1070761, 'Average Fare': 9.122797600790648}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4847.721917758309, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4847.721917758309, 'Unlinked Passenger Trips': 785219, 'Passenger Paid Fares': 673955, 'Average Fare': 0.8583019514301106}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 67.2965218796002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2904.1064326828364, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250, 'Passenger Paid Fares': 126354, 'Average Fare': 0.5237471502590674}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 92.38114002515876, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6031.774530098047, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864, 'Passenger Paid Fares': 65622, 'Average Fare': 0.78248115997329}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50166.0, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2490.3366838024353, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3932.162810336112, 'Unlinked Passenger Trips': 44941, 'Passenger Paid Fares': 233977, 'Average Fare': 5.206314946262878}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50184.0, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 99.91921990350691, 'Diesel (%)': 0.08078009649308052, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1649.7017339788779, 'Diesel (Wh/pkm)': 1502682.9000643366, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2862.2377999833134, 'Unlinked Passenger Trips': 88732, 'Passenger Paid Fares': 130206, 'Average Fare': 1.4674074741919487}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 99.70160150730099, 'Diesel (%)': 0.29839849269901086, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2959.63184590667, 'Diesel (Wh/pkm)': 8104.32726834477, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2974.9835395011805, 'Unlinked Passenger Trips': 24007, 'Passenger Paid Fares': 34706, 'Average Fare': 1.445661682009414}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7776.315475600951, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7776.315475600951, 'Unlinked Passenger Trips': 136166, 'Passenger Paid Fares': 124420, 'Average Fare': 0.9137376437583538}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7968.624322774964, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7968.624322774964, 'Unlinked Passenger Trips': 23036, 'Passenger Paid Fares': 42117, 'Average Fare': 1.8283122069803786}\n", - "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10931.007901648043, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10931.007901648043, 'Unlinked Passenger Trips': 1054291, 'Passenger Paid Fares': 1901002, 'Average Fare': 1.8031093882049642}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 60048.0, 'Mode': 'CB', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18656.426793971168, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18656.426793971168, 'Unlinked Passenger Trips': 613852, 'Passenger Paid Fares': 466585, 'Average Fare': 0.7600936382059519}\n", - "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 19456.93455720475, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 19456.93455720475, 'Unlinked Passenger Trips': 712779, 'Passenger Paid Fares': 320633, 'Average Fare': 0.4498350821222286}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70002.0, 'Mode': 'DR', 'UACE Code': '65269', 'Gasoline (%)': 76.8389899092576, 'Diesel (%)': 5.544890967071835, 'LPG (%)': None, 'CNG (%)': 17.616119123670565, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2592.9593071001136, 'Diesel (Wh/pkm)': 10311.489593713626, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 900.9823435826364, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2722.882718314948, 'Unlinked Passenger Trips': 106857, 'Passenger Paid Fares': 281894, 'Average Fare': 2.6380489813489056}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70019.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6225.518261278497, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6225.518261278497, 'Unlinked Passenger Trips': 9063, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70035.0, 'Mode': 'DR', 'UACE Code': '43912', 'Gasoline (%)': 84.45261564731449, 'Diesel (%)': 15.547384352685501, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3804.265190191787, 'Diesel (Wh/pkm)': 6715.660215708695, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4256.910964833866, 'Unlinked Passenger Trips': 58664, 'Passenger Paid Fares': 235871, 'Average Fare': 4.020711168689486}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': 54.43508815273861, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3874.404131945913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470, 'Passenger Paid Fares': 40336, 'Average Fare': 0.42249921441290456}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90023.0, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': 39.417119647705675, 'Diesel (%)': 6.141978072972676, 'LPG (%)': None, 'CNG (%)': 52.11470964631714, 'Hydrogen (%)': None, 'Electric (%)': 2.32619263300451, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 771.6358848636075, 'Diesel (Wh/pkm)': 2550.3365403843195, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 167.59976031846787, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 113.42638415491336, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 550.7803957287234, 'Unlinked Passenger Trips': 23781730, 'Passenger Paid Fares': 12095804, 'Average Fare': 0.5086174975495895}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': 39.70506239064814, 'LPG (%)': 7.3494068562419494, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': 2811.5581201303357, 'LPG (Wh/pkm)': 2240.0982891950684, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659, 'Passenger Paid Fares': 6233, 'Average Fare': 0.060715572916159324}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 90062.0, 'Mode': 'CB', 'UACE Code': '80362', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2829.834881601391, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2829.834881601391, 'Unlinked Passenger Trips': 75699, 'Passenger Paid Fares': 1150344, 'Average Fare': 15.19629057187017}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90092.0, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2704.6490846777547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2704.6490846777547, 'Unlinked Passenger Trips': 570239, 'Passenger Paid Fares': 557857, 'Average Fare': 0.9782862974998202}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 80.58870253354448, 'LPG (%)': None, 'CNG (%)': 19.41129746645553, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3175.3081875234484, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1410.4855380703684, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2832.733213282729, 'Unlinked Passenger Trips': 798280, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90232.0, 'Mode': 'MB', 'UACE Code': '90028', 'Gasoline (%)': None, 'Diesel (%)': 97.0682207747686, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.9317792252314026, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2249.9405365158223, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 61.91101192243724, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2185.7923414718643, 'Unlinked Passenger Trips': 681420, 'Passenger Paid Fares': 789222, 'Average Fare': 1.1582019899621379}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 85.22138919126245, 'LPG (%)': 14.778610808737566, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2028.5686915381375, 'LPG (Wh/pkm)': 2821.172581133287, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2145.704535636321, 'Unlinked Passenger Trips': 2575627, 'Passenger Paid Fares': 1952516, 'Average Fare': 0.7580740534246613}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': None, 'LPG (%)': 7.3494068562419494, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 2240.0982891950684, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659, 'Passenger Paid Fares': 6233, 'Average Fare': 0.060715572916159324}\n", - "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 30006.0, 'Mode': 'RB', 'UACE Code': '74746', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 52.98070617754295, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52.98070617754295, 'Unlinked Passenger Trips': 56952, 'Passenger Paid Fares': 14278, 'Average Fare': 0.2507023458350892}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30025.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': 19.037496185134124, 'Diesel (%)': 79.80871616728197, 'LPG (%)': None, 'CNG (%)': 1.1537876475838864, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 720.4074604091402, 'Diesel (Wh/pkm)': 1166.0932352665964, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 7358.447631321932, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1152.6924429967269, 'Unlinked Passenger Trips': 1001102, 'Passenger Paid Fares': 1031540, 'Average Fare': 1.0304044942473394}\n", - "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 80011.0, 'Mode': 'RB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 202.18234678577932, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 202.18234678577932, 'Unlinked Passenger Trips': 1468030, 'Passenger Paid Fares': 128357, 'Average Fare': 0.0874348616853879}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6984.494620629782, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6984.494620629782, 'Unlinked Passenger Trips': 16065, 'Passenger Paid Fares': 1016293, 'Average Fare': 63.26131341425459}\n", - "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 50.86126172332853, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50.86126172332853, 'Unlinked Passenger Trips': 2021780, 'Passenger Paid Fares': 4265280, 'Average Fare': 2.1096657400904153}\n", - "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 418.22366105260414, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 418.22366105260414, 'Unlinked Passenger Trips': 7655539, 'Passenger Paid Fares': 9393519, 'Average Fare': 1.2270225519065345}\n", - "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 189.87295352903863, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 189.87295352903863, 'Unlinked Passenger Trips': 8916972, 'Passenger Paid Fares': 11513200, 'Average Fare': 1.2911557869644539}\n", - "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 456.16675346080865, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 456.16675346080865, 'Unlinked Passenger Trips': 1417350, 'Passenger Paid Fares': 1566824, 'Average Fare': 1.1054601897908067}\n", - "Removing SR outlier: expected (np.float64(-1222.1657799665954), np.float64(2777.0354516470434)), got {'NTD ID': 30112.0, 'Mode': 'SR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3272.1838361779364, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3272.1838361779364, 'Unlinked Passenger Trips': 1171527, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 158.0018358518024, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 158.0018358518024, 'Unlinked Passenger Trips': 6273379, 'Passenger Paid Fares': 7756829, 'Average Fare': 1.2364674603590824}\n", - "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 881.2981978302345, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 881.2981978302345, 'Unlinked Passenger Trips': 1638170, 'Passenger Paid Fares': 2751696, 'Average Fare': 1.6797377561547335}\n", - "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1460.5937127921873, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1460.5937127921873, 'Unlinked Passenger Trips': 962251, 'Passenger Paid Fares': 5420678, 'Average Fare': 5.633330596694625}\n", - "Removing TB outlier: expected (np.float64(293.2556767230959), np.float64(484.2287457542076)), got {'NTD ID': 90015.0, 'Mode': 'TB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 275.50451416876564, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 275.50451416876564, 'Unlinked Passenger Trips': 49199803, 'Passenger Paid Fares': 39448290, 'Average Fare': 0.8017977226453529}\n", - "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 40196.0, 'Mode': 'VP', 'UACE Code': '51755', 'Gasoline (%)': 61.27744357254144, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 38.72255642745856, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 400.92451576117185, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 13.271413392282179, 'All Fuels (Wh/pkm)': 250.8153244535849, 'Unlinked Passenger Trips': 174330, 'Passenger Paid Fares': 501565, 'Average Fare': 2.8771009005908335}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90032.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.150230867731141, 'Diesel (%)': 32.52664234754539, 'LPG (%)': None, 'CNG (%)': 62.34575010865644, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 2.9773766760670224, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 844.7243636986898, 'Diesel (Wh/pkm)': 1437.434876542263, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 293.47345526142374, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5043.159478704986, 'All Fuels (Wh/pkm)': 818.8349063956298, 'Unlinked Passenger Trips': 37451567, 'Passenger Paid Fares': 27725802, 'Average Fare': 0.7403108660313199}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90136.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.118448985762912, 'Diesel (%)': 20.012873028726787, 'LPG (%)': None, 'CNG (%)': 76.57222673071647, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.2964512547938318, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1119.8839146099215, 'Diesel (Wh/pkm)': 1235.3749487920493, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 387.1561757462195, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 4352.750658468742, 'All Fuels (Wh/pkm)': 623.8435845853585, 'Unlinked Passenger Trips': 14730245, 'Passenger Paid Fares': 10117067, 'Average Fare': 0.6868227242656181}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90244.0, 'Mode': 'MB', 'UACE Code': '90946', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 92.19645108608275, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 7.80354891391726, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 443.3641387490912, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2308.470241687648, 'All Fuels (Wh/pkm)': 588.9086057883575, 'Unlinked Passenger Trips': 288833, 'Passenger Paid Fares': 229732, 'Average Fare': 0.795380029290282}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 6.0, 'Mode': 'DR', 'UACE Code': '97507', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11113.067118725423, 'Unlinked Passenger Trips': 69112, 'Passenger Paid Fares': 83154, 'Average Fare': 1.2031774510938766}\n", - "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50.86126172332853, 'Unlinked Passenger Trips': 2021780, 'Passenger Paid Fares': 4265280, 'Average Fare': 2.1096657400904153}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': None, 'Diesel (%)': 21.879390945013803, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5117.002539938507, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9390.032560879963, 'Unlinked Passenger Trips': 455807, 'Passenger Paid Fares': 415049, 'Average Fare': 0.9105805746730524}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 376.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2794.64187695904, 'Unlinked Passenger Trips': 110156, 'Passenger Paid Fares': 3605, 'Average Fare': 0.03272631540724064}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8105.551988473328, 'Unlinked Passenger Trips': 6577, 'Passenger Paid Fares': 22454, 'Average Fare': 3.4140185494906494}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10098.0, 'Mode': 'DR', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12884.083755389069, 'Unlinked Passenger Trips': 49103, 'Passenger Paid Fares': 32285, 'Average Fare': 0.6574954687086328}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357, 'Passenger Paid Fares': 29557, 'Average Fare': 0.1787465907097976}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1851.5980796600195, 'Unlinked Passenger Trips': 187392, 'Passenger Paid Fares': 637296, 'Average Fare': 3.4008709016393444}\n", - "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 10102.0, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1647.8048169276612, 'Unlinked Passenger Trips': 720765, 'Passenger Paid Fares': 2258611, 'Average Fare': 3.1336302400921245}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2540.180334381893, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10634.508258114589, 'Unlinked Passenger Trips': 127599, 'Passenger Paid Fares': 245922, 'Average Fare': 1.927303505513366}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2506.570613547485, 'Unlinked Passenger Trips': 207876, 'Passenger Paid Fares': 349357, 'Average Fare': 1.6806028593969482}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20010.0, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13309.127568372347, 'Unlinked Passenger Trips': 22064, 'Passenger Paid Fares': 45485, 'Average Fare': 2.0615029006526466}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': 42.19012287761903, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4942.24554735985, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6987.653767165117, 'Unlinked Passenger Trips': 181100, 'Passenger Paid Fares': 405350, 'Average Fare': 2.2382661512976254}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20071.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2346.8857009019134, 'Unlinked Passenger Trips': 113869, 'Passenger Paid Fares': 133435, 'Average Fare': 1.1718290316064952}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2644.552506718471, 'Unlinked Passenger Trips': 399621, 'Passenger Paid Fares': 604607, 'Average Fare': 1.512951021092485}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30002.0, 'Mode': 'DR', 'UACE Code': '40753', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5808.439419361114, 'Unlinked Passenger Trips': 36205, 'Passenger Paid Fares': 166348, 'Average Fare': 4.594614003590665}\n", - "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 30006.0, 'Mode': 'RB', 'UACE Code': '74746', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52.98070617754295, 'Unlinked Passenger Trips': 56952, 'Passenger Paid Fares': 14278, 'Average Fare': 0.2507023458350892}\n", - "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 418.22366105260414, 'Unlinked Passenger Trips': 7655539, 'Passenger Paid Fares': 9393519, 'Average Fare': 1.2270225519065345}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9751.589502345398, 'Unlinked Passenger Trips': 3819821, 'Passenger Paid Fares': 20089000, 'Average Fare': 5.259146960027708}\n", - "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 189.87295352903863, 'Unlinked Passenger Trips': 8916972, 'Passenger Paid Fares': 11513200, 'Average Fare': 1.2911557869644539}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305, 'Passenger Paid Fares': 382410, 'Average Fare': 1.0584132519616392}\n", - "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1998.8523367002883, 'Unlinked Passenger Trips': 1357102, 'Passenger Paid Fares': 9268545, 'Average Fare': 6.829659819232453}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30081.0, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 748615.0311372413, 'Unlinked Passenger Trips': 13267, 'Passenger Paid Fares': 24688, 'Average Fare': 1.860857767392779}\n", - "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 456.16675346080865, 'Unlinked Passenger Trips': 1417350, 'Passenger Paid Fares': 1566824, 'Average Fare': 1.1054601897908067}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828, 'Passenger Paid Fares': 4853, 'Average Fare': 0.16269947700147513}\n", - "Removing SR outlier: expected (np.float64(-1222.1657799665954), np.float64(2777.0354516470434)), got {'NTD ID': 30112.0, 'Mode': 'SR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3272.1838361779364, 'Unlinked Passenger Trips': 1171527, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7403.558620491305, 'Unlinked Passenger Trips': 518302, 'Passenger Paid Fares': 359486, 'Average Fare': 0.6935840494537934}\n", - "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2928.1153343519086, 'Unlinked Passenger Trips': 1038345, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14922.442822659325, 'Unlinked Passenger Trips': 437999, 'Passenger Paid Fares': 1452129, 'Average Fare': 3.315370583037861}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40046.0, 'Mode': 'CB', 'UACE Code': '09536', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1804.0730486777745, 'Unlinked Passenger Trips': 12324, 'Passenger Paid Fares': 66135, 'Average Fare': 5.3663583252190845}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40051.0, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6537.162696105448, 'Unlinked Passenger Trips': 62280, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40063.0, 'Mode': 'MB', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4351.2434742743235, 'Unlinked Passenger Trips': 2118469, 'Passenger Paid Fares': 734165, 'Average Fare': 0.34655451649280683}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40078.0, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2471.6955327734104, 'Unlinked Passenger Trips': 328614, 'Passenger Paid Fares': 528738, 'Average Fare': 1.6089941390202487}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40100.0, 'Mode': 'MB', 'UACE Code': '85708', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2120.9764667917434, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4754.139201105951, 'Unlinked Passenger Trips': 129242, 'Passenger Paid Fares': 46824, 'Average Fare': 0.3622970860865663}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11476.34359034371, 'Unlinked Passenger Trips': 7566, 'Passenger Paid Fares': 10606, 'Average Fare': 1.401797515199577}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349, 'Passenger Paid Fares': 12724, 'Average Fare': 1.7313920261260036}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118, 'Passenger Paid Fares': 66420, 'Average Fare': 0.8725925536666754}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437, 'Passenger Paid Fares': 10162, 'Average Fare': 0.22365032902700444}\n", - "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37767.844905213315, 'Unlinked Passenger Trips': 46490, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 158.0018358518024, 'Unlinked Passenger Trips': 6273379, 'Passenger Paid Fares': 7756829, 'Average Fare': 1.2364674603590824}\n", - "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 881.2981978302345, 'Unlinked Passenger Trips': 1638170, 'Passenger Paid Fares': 2751696, 'Average Fare': 1.6797377561547335}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2383.3248085743967, 'Unlinked Passenger Trips': 117372, 'Passenger Paid Fares': 1070761, 'Average Fare': 9.122797600790648}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50040.0, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3515.0373430277245, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16683.43964306351, 'Unlinked Passenger Trips': 166583, 'Passenger Paid Fares': 689841, 'Average Fare': 4.141124844672025}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4847.721917758309, 'Unlinked Passenger Trips': 785219, 'Passenger Paid Fares': 673955, 'Average Fare': 0.8583019514301106}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250, 'Passenger Paid Fares': 126354, 'Average Fare': 0.5237471502590674}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864, 'Passenger Paid Fares': 65622, 'Average Fare': 0.78248115997329}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50166.0, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3932.162810336112, 'Unlinked Passenger Trips': 44941, 'Passenger Paid Fares': 233977, 'Average Fare': 5.206314946262878}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50199.0, 'Mode': 'MB', 'UACE Code': '19234', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15226.807026426668, 'Unlinked Passenger Trips': 46693, 'Passenger Paid Fares': 28388, 'Average Fare': 0.6079712162422632}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50516.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6879.000620670795, 'Unlinked Passenger Trips': 27514, 'Passenger Paid Fares': 55580, 'Average Fare': 2.020062513629425}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7776.315475600951, 'Unlinked Passenger Trips': 136166, 'Passenger Paid Fares': 124420, 'Average Fare': 0.9137376437583538}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60008.0, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6170.23624190135, 'Unlinked Passenger Trips': 1774466, 'Passenger Paid Fares': 1667202, 'Average Fare': 0.9395513917989976}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7968.624322774964, 'Unlinked Passenger Trips': 23036, 'Passenger Paid Fares': 42117, 'Average Fare': 1.8283122069803786}\n", - "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10931.007901648043, 'Unlinked Passenger Trips': 1054291, 'Passenger Paid Fares': 1901002, 'Average Fare': 1.8031093882049642}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 60048.0, 'Mode': 'CB', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18656.426793971168, 'Unlinked Passenger Trips': 613852, 'Passenger Paid Fares': 466585, 'Average Fare': 0.7600936382059519}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60111.0, 'Mode': 'MB', 'UACE Code': '01171', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10331.822965799565, 'Unlinked Passenger Trips': 6046, 'Passenger Paid Fares': 4028, 'Average Fare': 0.6662256037049289}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60114.0, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 23032.357706238046, 'Unlinked Passenger Trips': 71545, 'Passenger Paid Fares': 17522, 'Average Fare': 0.24490879865818715}\n", - "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 19456.93455720475, 'Unlinked Passenger Trips': 712779, 'Passenger Paid Fares': 320633, 'Average Fare': 0.4498350821222286}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70019.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6225.518261278497, 'Unlinked Passenger Trips': 9063, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 80011.0, 'Mode': 'RB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 202.18234678577932, 'Unlinked Passenger Trips': 1468030, 'Passenger Paid Fares': 128357, 'Average Fare': 0.0874348616853879}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470, 'Passenger Paid Fares': 40336, 'Average Fare': 0.42249921441290456}\n", - "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1460.5937127921873, 'Unlinked Passenger Trips': 962251, 'Passenger Paid Fares': 5420678, 'Average Fare': 5.633330596694625}\n", - "Removing TB outlier: expected (np.float64(293.2556767230959), np.float64(484.2287457542076)), got {'NTD ID': 90015.0, 'Mode': 'TB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 275.50451416876564, 'Unlinked Passenger Trips': 49199803, 'Passenger Paid Fares': 39448290, 'Average Fare': 0.8017977226453529}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6984.494620629782, 'Unlinked Passenger Trips': 16065, 'Passenger Paid Fares': 1016293, 'Average Fare': 63.26131341425459}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659, 'Passenger Paid Fares': 6233, 'Average Fare': 0.060715572916159324}\n", - "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 90062.0, 'Mode': 'CB', 'UACE Code': '80362', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2829.834881601391, 'Unlinked Passenger Trips': 75699, 'Passenger Paid Fares': 1150344, 'Average Fare': 15.19629057187017}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90092.0, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2704.6490846777547, 'Unlinked Passenger Trips': 570239, 'Passenger Paid Fares': 557857, 'Average Fare': 0.9782862974998202}\n", - "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 19.41129746645553, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1410.4855380703684, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2832.733213282729, 'Unlinked Passenger Trips': 798280, 'Passenger Paid Fares': None, 'Average Fare': None}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 1.0916788148558296, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.37494037643586, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8576.671865182032, 'Unlinked Passenger Trips': 202456, 'Passenger Paid Fares': 156021, 'Average Fare': 0.7706415221085076}\n", - "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 584.0544347266375, 'Unlinked Passenger Trips': 607617, 'Passenger Paid Fares': 2505057, 'Average Fare': 4.122756604900784}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90162.0, 'Mode': 'DR', 'UACE Code': '02683', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13427.18241542374, 'Unlinked Passenger Trips': 125558, 'Passenger Paid Fares': 323605, 'Average Fare': 2.5773347775530033}\n", - "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90200.0, 'Mode': 'DR', 'UACE Code': '36703', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15066.488335026846, 'Unlinked Passenger Trips': 14294, 'Passenger Paid Fares': 23403, 'Average Fare': 1.6372603889743949}\n", - "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90233.0, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 502.1240769356721, 'Unlinked Passenger Trips': 67622, 'Passenger Paid Fares': 369539, 'Average Fare': 5.4647747774392945}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 6.0, 'Mode': 'DR', 'UACE Code': '97507', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11113.067118725423, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11113.067118725423, 'Unlinked Passenger Trips': 69112, 'Passenger Paid Fares': 83154, 'Average Fare': 1.2031774510938766, 'Average Passengers': 0.6205514274540478}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': 78.1206090549862, 'Diesel (%)': 21.879390945013803, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10586.788391113618, 'Diesel (Wh/pkm)': 5117.002539938507, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9390.032560879963, 'Unlinked Passenger Trips': 455807, 'Passenger Paid Fares': 415049, 'Average Fare': 0.9105805746730524, 'Average Passengers': 0.8772620621541259}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 43.0, 'Mode': 'DR', 'UACE Code': '93862', 'Gasoline (%)': 19.313615480702055, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 80.68638451929795, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5794.392063614663, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2587.87804035923, 'Unlinked Passenger Trips': 54888, 'Passenger Paid Fares': 40038, 'Average Fare': 0.7294490599038042, 'Average Passengers': 0.7694656542946829}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 46.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': 12.167811804510757, 'Diesel (%)': 82.91341093924414, 'LPG (%)': None, 'CNG (%)': 4.918777256245104, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6146.198727378309, 'Diesel (Wh/pkm)': 1437.6416507757651, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 885.8418663791017, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1983.428212269824, 'Unlinked Passenger Trips': 269167, 'Passenger Paid Fares': 191522, 'Average Fare': 0.7115359609461784, 'Average Passengers': 3.0983405349967215}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 376.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2794.64187695904, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2794.64187695904, 'Unlinked Passenger Trips': 110156, 'Passenger Paid Fares': 3605, 'Average Fare': 0.03272631540724064, 'Average Passengers': 1.5073052237475488}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8105.551988473328, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8105.551988473328, 'Unlinked Passenger Trips': 6577, 'Passenger Paid Fares': 22454, 'Average Fare': 3.4140185494906494, 'Average Passengers': 0.26992472670877937}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10098.0, 'Mode': 'DR', 'UACE Code': '49339', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12884.083755389069, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12884.083755389069, 'Unlinked Passenger Trips': 49103, 'Passenger Paid Fares': 32285, 'Average Fare': 0.6574954687086328, 'Average Passengers': 0.7167127921279214}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': 54.50734680924864, 'Diesel (%)': 45.49265319075136, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3687.6904829664377, 'Diesel (Wh/pkm)': 6888.145960602369, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357, 'Passenger Paid Fares': 29557, 'Average Fare': 0.1787465907097976, 'Average Passengers': 1.2319623152109054}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': 57.80987712238097, 'Diesel (%)': 42.19012287761903, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8480.409476467026, 'Diesel (Wh/pkm)': 4942.24554735985, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6987.653767165117, 'Unlinked Passenger Trips': 181100, 'Passenger Paid Fares': 405350, 'Average Fare': 2.2382661512976254, 'Average Passengers': 0.7451799008660906}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30002.0, 'Mode': 'DR', 'UACE Code': '40753', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5808.439419361114, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5808.439419361114, 'Unlinked Passenger Trips': 36205, 'Passenger Paid Fares': 166348, 'Average Fare': 4.594614003590665, 'Average Passengers': 0.5305142680545305}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30007.0, 'Mode': 'MB', 'UACE Code': '75421', 'Gasoline (%)': 0.5457824391161087, 'Diesel (%)': 99.45421756088389, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4499.609981482942, 'Diesel (Wh/pkm)': 849.5055197147626, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 869.4271488764867, 'Unlinked Passenger Trips': 1983028, 'Passenger Paid Fares': 1751754, 'Average Fare': 0.8833733058736437, 'Average Passengers': 6.526391571940616}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30023.0, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': 0.11380799743326644, 'Diesel (%)': 80.79626249693536, 'LPG (%)': None, 'CNG (%)': 19.08992950563138, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8820.320070101367, 'Diesel (Wh/pkm)': 1030.6227688539873, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 126.34674255886999, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 866.8624114025878, 'Unlinked Passenger Trips': 798836, 'Passenger Paid Fares': 1352911, 'Average Fare': 1.6936029422810188, 'Average Passengers': 9.192406411745862}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': 24.051226235968002, 'Diesel (%)': 75.948773764032, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 12339.037521713153, 'Diesel (Wh/pkm)': 2822.231994802768, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305, 'Passenger Paid Fares': 382410, 'Average Fare': 1.0584132519616392, 'Average Passengers': 1.6824655143051772}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30048.0, 'Mode': 'MB', 'UACE Code': '04843', 'Gasoline (%)': 15.423117925496122, 'Diesel (%)': 80.73840997364256, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 3.8384721008613156, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2668.8434518135027, 'Diesel (Wh/pkm)': 1576.7681647442691, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 230.98210223983403, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1693.5426015576447, 'Unlinked Passenger Trips': 676178, 'Passenger Paid Fares': 550353, 'Average Fare': 0.81391734129179, 'Average Passengers': 4.354178250823832}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1998.8523367002883, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1998.8523367002883, 'Unlinked Passenger Trips': 1357102, 'Passenger Paid Fares': 9268545, 'Average Fare': 6.829659819232453, 'Average Passengers': 5.832260189475615}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30081.0, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 748615.0311372413, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 748615.0311372413, 'Unlinked Passenger Trips': 13267, 'Passenger Paid Fares': 24688, 'Average Fare': 1.860857767392779, 'Average Passengers': 0.5261998231104629}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': 58.591875499866696, 'Diesel (%)': 41.4081245001333, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 5799.896030410843, 'Diesel (Wh/pkm)': 12780.33638603924, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828, 'Passenger Paid Fares': 4853, 'Average Fare': 0.16269947700147513, 'Average Passengers': 0.5222308132706122}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30096.0, 'Mode': 'DR', 'UACE Code': '78364', 'Gasoline (%)': 3.509374003147597, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 96.4906259968524, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 27976.149222301876, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2243.368717697657, 'Unlinked Passenger Trips': 50174, 'Passenger Paid Fares': 190490, 'Average Fare': 3.7965878741977916, 'Average Passengers': 1.1530985641590767}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30096.0, 'Mode': 'MB', 'UACE Code': '78364', 'Gasoline (%)': 3.252388495417508, 'Diesel (%)': 31.534019719505014, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 65.21359178507748, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4770.394932233527, 'Diesel (Wh/pkm)': 932.708842450257, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 585.6778457193153, 'Unlinked Passenger Trips': 277371, 'Passenger Paid Fares': 232821, 'Average Fare': 0.8393847950939356, 'Average Passengers': 5.407604314801083}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30111.0, 'Mode': 'MB', 'UACE Code': '69697', 'Gasoline (%)': 3.171284099717795, 'Diesel (%)': 96.8287159002822, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4254.593432416648, 'Diesel (Wh/pkm)': 1190.9331873497686, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1288.0905575709496, 'Unlinked Passenger Trips': 88802, 'Passenger Paid Fares': 142323, 'Average Fare': 1.6027003896308643, 'Average Passengers': 3.0772348495476356}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40041.0, 'Mode': 'DR', 'UACE Code': '86599', 'Gasoline (%)': 13.643168687558507, 'Diesel (%)': 2.7512935635154925, 'LPG (%)': None, 'CNG (%)': 83.60553774892601, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9355.63097386445, 'Diesel (Wh/pkm)': 6453.923543517437, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 923.7732989417871, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2226.296532758081, 'Unlinked Passenger Trips': 172054, 'Passenger Paid Fares': 205622, 'Average Fare': 1.1951015378892673, 'Average Passengers': 0.901878479354589}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40044.0, 'Mode': 'MB', 'UACE Code': '58600', 'Gasoline (%)': 41.736414061461495, 'Diesel (%)': 58.26358593853851, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2617.275161765459, 'Diesel (Wh/pkm)': 1668.4975402860869, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2064.483296909204, 'Unlinked Passenger Trips': 605572, 'Passenger Paid Fares': 534686, 'Average Fare': 0.8829437292345088, 'Average Passengers': 2.2350044996612612}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40051.0, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6537.162696105448, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6537.162696105448, 'Unlinked Passenger Trips': 62280, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.8076217394864454}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40058.0, 'Mode': 'DR', 'UACE Code': '76204', 'Gasoline (%)': 38.369417622208815, 'Diesel (%)': 61.630582377791185, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6456.441842615874, 'Diesel (Wh/pkm)': 393.08392051514, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2719.559043575253, 'Unlinked Passenger Trips': 23556, 'Passenger Paid Fares': 48500, 'Average Fare': 2.0589234165393107, 'Average Passengers': 0.9500518962075848}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11476.34359034371, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11476.34359034371, 'Unlinked Passenger Trips': 7566, 'Passenger Paid Fares': 10606, 'Average Fare': 1.401797515199577, 'Average Passengers': 0.22188315075639017}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': 14.826625468758253, 'Diesel (%)': 85.17337453124173, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3219.3785631707374, 'Diesel (Wh/pkm)': 2258.2990544845775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349, 'Passenger Paid Fares': 12724, 'Average Fare': 1.7313920261260036, 'Average Passengers': 1.0888598842951884}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': 1.4319517220717441, 'Diesel (%)': 98.56804827792824, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 14978.330112522732, 'Diesel (Wh/pkm)': 3084.498572395536, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118, 'Passenger Paid Fares': 66420, 'Average Fare': 0.8725925536666754, 'Average Passengers': 1.3392502045438537}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': 49.48745006406875, 'Diesel (%)': 50.51254993593126, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2761.411531136123, 'Diesel (Wh/pkm)': 3980.295590641411, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437, 'Passenger Paid Fares': 10162, 'Average Fare': 0.22365032902700444, 'Average Passengers': 1.2028862847222224}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 44929.0, 'Mode': 'MB', 'UACE Code': '56602', 'Gasoline (%)': 13.534805935635344, 'Diesel (%)': 86.46519406436465, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3089.786635039452, 'Diesel (Wh/pkm)': 946.5226055352072, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1236.609232616885, 'Unlinked Passenger Trips': 301753, 'Passenger Paid Fares': 128650, 'Average Fare': 0.42634207447813277, 'Average Passengers': 3.850548138319927}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50031.0, 'Mode': 'DR', 'UACE Code': '23824', 'Gasoline (%)': 0.06677593802456412, 'Diesel (%)': 37.28339453558364, 'LPG (%)': 62.6498295263918, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 28420.76896999879, 'Diesel (Wh/pkm)': 3034.023973008439, 'LPG (Wh/pkm)': 3767.9036421910714, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3510.7505717858503, 'Unlinked Passenger Trips': 404441, 'Passenger Paid Fares': 904181, 'Average Fare': 2.2356314023553496, 'Average Passengers': 0.8347175569698192}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': 32.7034781203998, 'Diesel (%)': 67.2965218796002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3372.470915609198, 'Diesel (Wh/pkm)': 2904.1064326828364, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250, 'Passenger Paid Fares': 126354, 'Average Fare': 0.5237471502590674, 'Average Passengers': 0.9823859142494528}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50117.0, 'Mode': 'MB', 'UACE Code': '17668', 'Gasoline (%)': 1.7255528125037476, 'Diesel (%)': 98.27444718749625, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7620.351356327595, 'Diesel (Wh/pkm)': 1595.5443531402889, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1699.5055798317098, 'Unlinked Passenger Trips': 300587, 'Passenger Paid Fares': 315484, 'Average Fare': 1.0495596948637167, 'Average Passengers': 2.8703442364352205}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50154.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 37.56249921578268, 'Diesel (%)': 62.43750078421733, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7711.119572277913, 'Diesel (Wh/pkm)': 203.22179096075513, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3023.3758361897776, 'Unlinked Passenger Trips': 249133, 'Passenger Paid Fares': 957533, 'Average Fare': 3.8434611231751714, 'Average Passengers': 0.986202408018696}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': 7.618859974841241, 'Diesel (%)': 92.38114002515876, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 130764.80456454691, 'Diesel (Wh/pkm)': 6031.774530098047, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864, 'Passenger Paid Fares': 65622, 'Average Fare': 0.78248115997329, 'Average Passengers': 1.6795477964489538}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50199.0, 'Mode': 'MB', 'UACE Code': '19234', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15226.807026426668, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15226.807026426668, 'Unlinked Passenger Trips': 46693, 'Passenger Paid Fares': 28388, 'Average Fare': 0.6079712162422632, 'Average Passengers': 1.2299358594297418}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50516.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6162.968327374853, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6879.000620670795, 'Unlinked Passenger Trips': 27514, 'Passenger Paid Fares': 55580, 'Average Fare': 2.020062513629425, 'Average Passengers': 0.82491271720374}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60008.0, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6170.23624190135, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6170.23624190135, 'Unlinked Passenger Trips': 1774466, 'Passenger Paid Fares': 1667202, 'Average Fare': 0.9395513917989976, 'Average Passengers': 0.8939352350813841}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60056.0, 'Mode': 'DR', 'UACE Code': '22042', 'Gasoline (%)': 0.4229515631531351, 'Diesel (%)': 0.8162601803711789, 'LPG (%)': None, 'CNG (%)': 98.76078825647568, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 56578.56876484522, 'Diesel (Wh/pkm)': 1750.1352972552818, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 705.3261443551193, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 950.1712584788235, 'Unlinked Passenger Trips': 356620, 'Passenger Paid Fares': 885456, 'Average Fare': 2.4829117828500924, 'Average Passengers': 1.0631797917673227}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60111.0, 'Mode': 'MB', 'UACE Code': '01171', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 10331.822965799565, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10331.822965799565, 'Unlinked Passenger Trips': 6046, 'Passenger Paid Fares': 4028, 'Average Fare': 0.6662256037049289, 'Average Passengers': 0.5242906039527437}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60114.0, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 23032.357706238046, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 23032.357706238046, 'Unlinked Passenger Trips': 71545, 'Passenger Paid Fares': 17522, 'Average Fare': 0.24490879865818715, 'Average Passengers': 1.1378277234968281}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70001.0, 'Mode': 'DR', 'UACE Code': '49933', 'Gasoline (%)': 23.4193405150778, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 76.5806594849222, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 11958.124993510259, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1165.6582009467622, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3693.1827490739024, 'Unlinked Passenger Trips': 41222, 'Passenger Paid Fares': 38103, 'Average Fare': 0.924336519334336, 'Average Passengers': 0.7417864078977042}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': 45.5649118472614, 'Diesel (%)': 54.43508815273861, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2697.1500012766455, 'Diesel (Wh/pkm)': 3874.404131945913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470, 'Passenger Paid Fares': 40336, 'Average Fare': 0.42249921441290456, 'Average Passengers': 1.8780559924762932}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90009.0, 'Mode': 'MB', 'UACE Code': '78904', 'Gasoline (%)': 0.6720749769184331, 'Diesel (%)': 99.32792502308156, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2908.6547102614213, 'Diesel (Wh/pkm)': 1158.5330090041775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1170.7712283178523, 'Unlinked Passenger Trips': 11457737, 'Passenger Paid Fares': 14831331, 'Average Fare': 1.2944380727188973, 'Average Passengers': 4.997956755618976}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90023.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 11.704857463120852, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 88.29514253687914, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 6053.530543802882, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 754.8540187074735, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1375.0565534017362, 'Unlinked Passenger Trips': 38986, 'Passenger Paid Fares': 65200, 'Average Fare': 1.672395218796491, 'Average Passengers': 0.6369270129567263}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90026.0, 'Mode': 'MB', 'UACE Code': '78661', 'Gasoline (%)': 0.1790676898612206, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 99.82093231013877, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8132.059779471925, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 220.9074420019436, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 266.88838963832495, 'Unlinked Passenger Trips': 47554177, 'Passenger Paid Fares': 38823976, 'Average Fare': 0.8164156852088934, 'Average Passengers': 8.143469031485953}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90030.0, 'Mode': 'MB', 'UACE Code': '78661', 'Gasoline (%)': 4.359204201684005, 'Diesel (%)': 2.8828095986382065, 'LPG (%)': None, 'CNG (%)': 92.75798619967779, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3062.729926633984, 'Diesel (Wh/pkm)': 1541.4742461877888, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 322.0625085819305, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 476.6871164424627, 'Unlinked Passenger Trips': 6508713, 'Passenger Paid Fares': 6597733, 'Average Fare': 1.0136770510544866, 'Average Passengers': 4.520797793192339}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': 98.90832118514417, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 1.0916788148558296, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 8667.71062616348, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.37494037643586, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8576.671865182032, 'Unlinked Passenger Trips': 202456, 'Passenger Paid Fares': 156021, 'Average Fare': 0.7706415221085076, 'Average Passengers': 0.754453295406712}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90148.0, 'Mode': 'MB', 'UACE Code': '90541', 'Gasoline (%)': 3.4222808886458553, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 96.57771911135414, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4457.213591638153, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 544.5138603761055, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 678.4174355091844, 'Unlinked Passenger Trips': 1474542, 'Passenger Paid Fares': 1633869, 'Average Fare': 1.1080518561017592, 'Average Passengers': 2.8240243879950984}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 584.0544347266375, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 584.0544347266375, 'Unlinked Passenger Trips': 607617, 'Passenger Paid Fares': 2505057, 'Average Fare': 4.122756604900784, 'Average Passengers': 5.2338527767856675}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90162.0, 'Mode': 'DR', 'UACE Code': '02683', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 13427.18241542374, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13427.18241542374, 'Unlinked Passenger Trips': 125558, 'Passenger Paid Fares': 323605, 'Average Fare': 2.5773347775530033, 'Average Passengers': 0.9128593212420353}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90173.0, 'Mode': 'MB', 'UACE Code': '56251', 'Gasoline (%)': 22.906964852556932, 'Diesel (%)': 77.09303514744306, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2585.3958944174265, 'Diesel (Wh/pkm)': 1696.7237980147095, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1900.291602792161, 'Unlinked Passenger Trips': 834591, 'Passenger Paid Fares': 1185148, 'Average Fare': 1.4200344839568124, 'Average Passengers': 2.6266742148007904}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90200.0, 'Mode': 'DR', 'UACE Code': '36703', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 15066.488335026846, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15066.488335026846, 'Unlinked Passenger Trips': 14294, 'Passenger Paid Fares': 23403, 'Average Fare': 1.6372603889743949, 'Average Passengers': 0.7844476294859904}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90201.0, 'Mode': 'MB', 'UACE Code': '89083', 'Gasoline (%)': 48.27907886520768, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 51.72092113479232, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3735.896669942998, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 427.35595515035294, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2024.6889361325998, 'Unlinked Passenger Trips': 144918, 'Passenger Paid Fares': 123429, 'Average Fare': 0.8517161429222043, 'Average Passengers': 1.7278397393437046}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90229.0, 'Mode': 'MB', 'UACE Code': '77068', 'Gasoline (%)': 8.66816107960013, 'Diesel (%)': 91.33183892039986, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 7925.611481049444, 'Diesel (Wh/pkm)': 20.2962446071753, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 705.541703152163, 'Unlinked Passenger Trips': 177436, 'Passenger Paid Fares': 227680, 'Average Fare': 1.283166888342839, 'Average Passengers': 2.929364592876004}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90233.0, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 502.1240769356721, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 502.1240769356721, 'Unlinked Passenger Trips': 67622, 'Passenger Paid Fares': 369539, 'Average Fare': 5.4647747774392945, 'Average Passengers': 4.752213324363602}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90244.0, 'Mode': 'DR', 'UACE Code': '90946', 'Gasoline (%)': 39.673666382545356, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 60.326333617454644, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 9389.129623657875, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 211.8639073207816, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3852.8216906600715, 'Unlinked Passenger Trips': 17246, 'Passenger Paid Fares': 41295, 'Average Fare': 2.39446828250029, 'Average Passengers': 1.0018285454866453}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 11.0, 'Mode': 'MB', 'UACE Code': '08785', 'Gasoline (%)': 0.9389645326277976, 'Diesel (%)': 1.1976622378432875, 'LPG (%)': None, 'CNG (%)': 97.86337322952892, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 627.9508035365685, 'Diesel (Wh/pkm)': 4515.689694223164, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 351.1469779683809, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 403.6232232068598, 'Unlinked Passenger Trips': 1290296, 'Passenger Paid Fares': 606419, 'Average Fare': 0.46998440667877756, 'Average Passengers': 3.5672383074756366}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 10003.0, 'Mode': 'RB', 'UACE Code': '09271', 'Gasoline (%)': None, 'Diesel (%)': 30.634592641044446, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 69.36540735895555, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1025.7268435915569, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 556.9508697080313, 'Unlinked Passenger Trips': 10540640, 'Passenger Paid Fares': 10590933, 'Average Fare': 1.004771342157592, 'Average Passengers': 18.384990055981145}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10057.0, 'Mode': 'DR', 'UACE Code': '10162', 'Gasoline (%)': 49.363776737512424, 'Diesel (%)': 50.636223262487576, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1352.722837987954, 'Diesel (Wh/pkm)': 6364.965643667233, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3890.7332955296856, 'Unlinked Passenger Trips': 100871, 'Passenger Paid Fares': 296864, 'Average Fare': 2.943006414132902, 'Average Passengers': 0.7758392724692832}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10064.0, 'Mode': 'MB', 'UACE Code': '72505', 'Gasoline (%)': 25.805280596577074, 'Diesel (%)': 74.19471940342291, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 627.9906451286073, 'Diesel (Wh/pkm)': 2332.431738666302, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1892.5959318755326, 'Unlinked Passenger Trips': 729007, 'Passenger Paid Fares': 540501, 'Average Fare': 0.7414208642715365, 'Average Passengers': 2.0331344276064813}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': 45.49265319075136, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6888.145960602369, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357, 'Passenger Paid Fares': 29557, 'Average Fare': 0.1787465907097976, 'Average Passengers': 1.2319623152109054}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1851.5980796600195, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1851.5980796600195, 'Unlinked Passenger Trips': 187392, 'Passenger Paid Fares': 637296, 'Average Fare': 3.4008709016393444, 'Average Passengers': 6.648636374413849}\n", + "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 10102.0, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1647.8048169276612, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1647.8048169276612, 'Unlinked Passenger Trips': 720765, 'Passenger Paid Fares': 2258611, 'Average Fare': 3.1336302400921245, 'Average Passengers': 33.464294816436464}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20003.0, 'Mode': 'DR', 'UACE Code': '07732', 'Gasoline (%)': 93.77046718814798, 'Diesel (%)': 6.229532811852021, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1900.525269257243, 'Diesel (Wh/pkm)': 14789.919728294317, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2703.4743263319942, 'Unlinked Passenger Trips': 81398, 'Passenger Paid Fares': 180421, 'Average Fare': 2.216528661637878, 'Average Passengers': 1.14188411235482}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2506.570613547485, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2506.570613547485, 'Unlinked Passenger Trips': 207876, 'Passenger Paid Fares': 349357, 'Average Fare': 1.6806028593969482, 'Average Passengers': 1.326970163309369}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20010.0, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 13309.127568372347, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13309.127568372347, 'Unlinked Passenger Trips': 22064, 'Passenger Paid Fares': 45485, 'Average Fare': 2.0615029006526466, 'Average Passengers': 0.7174331996458149}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20071.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2346.8857009019134, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2346.8857009019134, 'Unlinked Passenger Trips': 113869, 'Passenger Paid Fares': 133435, 'Average Fare': 1.1718290316064952, 'Average Passengers': 1.2396793853982782}\n", + "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 20078.0, 'Mode': 'CR', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 0.02233911609670878, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 95.4577190615149, 'Other (%)': 4.519941822388397, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 60275.17043338498, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 25.13262885249702, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37.45597454339279, 'Unlinked Passenger Trips': 91873366, 'Passenger Paid Fares': 740271044, 'Average Fare': 8.05751521066508, 'Average Passengers': 202.98538519595834}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2644.552506718471, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2644.552506718471, 'Unlinked Passenger Trips': 399621, 'Passenger Paid Fares': 604607, 'Average Fare': 1.512951021092485, 'Average Passengers': 1.8517260172311831}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20113.0, 'Mode': 'DR', 'UACE Code': '75664', 'Gasoline (%)': 99.00046163988343, 'Diesel (%)': 0.9995383601165855, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3982.8143788809634, 'Diesel (Wh/pkm)': 6930.259111904595, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4012.2752196307715, 'Unlinked Passenger Trips': 214900, 'Passenger Paid Fares': 410490, 'Average Fare': 1.9101442531409958, 'Average Passengers': 0.7515463367936345}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30012.0, 'Mode': 'DR', 'UACE Code': '43291', 'Gasoline (%)': 94.45366729266749, 'Diesel (%)': 0.5680698077382003, 'LPG (%)': None, 'CNG (%)': 4.97826289959431, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1756.1450588142866, 'Diesel (Wh/pkm)': 14249.680416895262, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1245.958852590127, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1801.7186504793358, 'Unlinked Passenger Trips': 63768, 'Passenger Paid Fares': 950406, 'Average Fare': 14.904121189311253, 'Average Passengers': 1.5410146654920456}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 9751.589502345398, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9751.589502345398, 'Unlinked Passenger Trips': 3819821, 'Passenger Paid Fares': 20089000, 'Average Fare': 5.259146960027708, 'Average Passengers': 7.6649264270051365}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': 75.948773764032, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2822.231994802768, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305, 'Passenger Paid Fares': 382410, 'Average Fare': 1.0584132519616392, 'Average Passengers': 1.6824655143051772}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': 41.4081245001333, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 12780.33638603924, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828, 'Passenger Paid Fares': 4853, 'Average Fare': 0.16269947700147513, 'Average Passengers': 0.5222308132706122}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40002.0, 'Mode': 'MB', 'UACE Code': '45640', 'Gasoline (%)': 18.68604845959048, 'Diesel (%)': 81.31395154040952, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1413.3599159568573, 'Diesel (Wh/pkm)': 2251.926287613208, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2095.2313690396727, 'Unlinked Passenger Trips': 2634231, 'Passenger Paid Fares': 1705653, 'Average Fare': 0.6474956068773012, 'Average Passengers': 2.735789886594169}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7403.558620491305, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7403.558620491305, 'Unlinked Passenger Trips': 518302, 'Passenger Paid Fares': 359486, 'Average Fare': 0.6935840494537934, 'Average Passengers': 1.1375623416719443}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40025.0, 'Mode': 'DR', 'UACE Code': '79768', 'Gasoline (%)': 77.03921017596748, 'Diesel (%)': 22.960789824032517, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3199.035118675693, 'Diesel (Wh/pkm)': 11986.019536252636, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5216.596142666022, 'Unlinked Passenger Trips': 108200, 'Passenger Paid Fares': 168881, 'Average Fare': 1.560822550831793, 'Average Passengers': 0.7558913568186402}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40031.0, 'Mode': 'DR', 'UACE Code': '46828', 'Gasoline (%)': 97.22514343206889, 'Diesel (%)': 2.7748565679311046, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4353.863517455607, 'Diesel (Wh/pkm)': 16950.821259646582, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4703.4110267242995, 'Unlinked Passenger Trips': 108299, 'Passenger Paid Fares': 72237, 'Average Fare': 0.6670144692010083, 'Average Passengers': 0.913329962035157}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2928.1153343519086, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2928.1153343519086, 'Unlinked Passenger Trips': 1038345, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 2.3918120099237044}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 14922.442822659325, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14922.442822659325, 'Unlinked Passenger Trips': 437999, 'Passenger Paid Fares': 1452129, 'Average Fare': 3.315370583037861, 'Average Passengers': 23.7928536938677}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40041.0, 'Mode': 'DR', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 2.7512935635154925, 'LPG (%)': None, 'CNG (%)': 83.60553774892601, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6453.923543517437, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 923.7732989417871, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2226.296532758081, 'Unlinked Passenger Trips': 172054, 'Passenger Paid Fares': 205622, 'Average Fare': 1.1951015378892673, 'Average Passengers': 0.901878479354589}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40046.0, 'Mode': 'CB', 'UACE Code': '09536', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 1804.0730486777745, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1804.0730486777745, 'Unlinked Passenger Trips': 12324, 'Passenger Paid Fares': 66135, 'Average Fare': 5.3663583252190845, 'Average Passengers': 2.6416059909840515}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40047.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': 54.72462646873942, 'Diesel (%)': 45.27537353126058, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 4945.74764085911, 'Diesel (Wh/pkm)': 5676.022581452148, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5276.382348017799, 'Unlinked Passenger Trips': 7482, 'Passenger Paid Fares': 20853, 'Average Fare': 2.7870890136327184, 'Average Passengers': 0.5273265925773074}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40063.0, 'Mode': 'MB', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4351.2434742743235, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4351.2434742743235, 'Unlinked Passenger Trips': 2118469, 'Passenger Paid Fares': 734165, 'Average Fare': 0.34655451649280683, 'Average Passengers': 6.4479086501057665}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40078.0, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2471.6955327734104, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2471.6955327734104, 'Unlinked Passenger Trips': 328614, 'Passenger Paid Fares': 528738, 'Average Fare': 1.6089941390202487, 'Average Passengers': 8.55295566502463}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40100.0, 'Mode': 'DR', 'UACE Code': '85708', 'Gasoline (%)': 63.57857051653523, 'Diesel (%)': 1.9157671417206055, 'LPG (%)': 34.505662341744184, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 403.64555122093793, 'Diesel (Wh/pkm)': 7802.35711721948, 'LPG (Wh/pkm)': 1046.9980177403777, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 767.3806660775007, 'Unlinked Passenger Trips': 20607, 'Passenger Paid Fares': 8618, 'Average Fare': 0.418207405250643, 'Average Passengers': 1.5461660327217772}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 85.17337453124173, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2258.2990544845775, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349, 'Passenger Paid Fares': 12724, 'Average Fare': 1.7313920261260036, 'Average Passengers': 1.0888598842951884}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': 98.56804827792824, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3084.498572395536, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118, 'Passenger Paid Fares': 66420, 'Average Fare': 0.8725925536666754, 'Average Passengers': 1.3392502045438537}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': 50.51254993593126, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3980.295590641411, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437, 'Passenger Paid Fares': 10162, 'Average Fare': 0.22365032902700444, 'Average Passengers': 1.2028862847222224}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 37767.844905213315, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37767.844905213315, 'Unlinked Passenger Trips': 46490, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.4072051255120261}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2383.3248085743967, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2383.3248085743967, 'Unlinked Passenger Trips': 117372, 'Passenger Paid Fares': 1070761, 'Average Fare': 9.122797600790648, 'Average Passengers': 7.627267764655757}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4847.721917758309, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4847.721917758309, 'Unlinked Passenger Trips': 785219, 'Passenger Paid Fares': 673955, 'Average Fare': 0.8583019514301106, 'Average Passengers': 1.0750986934375004}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': 67.2965218796002, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2904.1064326828364, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250, 'Passenger Paid Fares': 126354, 'Average Fare': 0.5237471502590674, 'Average Passengers': 0.9823859142494528}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 92.38114002515876, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6031.774530098047, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864, 'Passenger Paid Fares': 65622, 'Average Fare': 0.78248115997329, 'Average Passengers': 1.6795477964489538}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50166.0, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2490.3366838024353, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3932.162810336112, 'Unlinked Passenger Trips': 44941, 'Passenger Paid Fares': 233977, 'Average Fare': 5.206314946262878, 'Average Passengers': 3.3114270313451297}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50184.0, 'Mode': 'DR', 'UACE Code': '39430', 'Gasoline (%)': 99.91921990350691, 'Diesel (%)': 0.08078009649308052, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1649.7017339788779, 'Diesel (Wh/pkm)': 1502682.9000643366, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2862.2377999833134, 'Unlinked Passenger Trips': 88732, 'Passenger Paid Fares': 130206, 'Average Fare': 1.4674074741919487, 'Average Passengers': 0.9606579163436532}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50199.0, 'Mode': 'DR', 'UACE Code': '19234', 'Gasoline (%)': 99.70160150730099, 'Diesel (%)': 0.29839849269901086, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2959.63184590667, 'Diesel (Wh/pkm)': 8104.32726834477, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2974.9835395011805, 'Unlinked Passenger Trips': 24007, 'Passenger Paid Fares': 34706, 'Average Fare': 1.445661682009414, 'Average Passengers': 0.546244488665184}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7776.315475600951, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7776.315475600951, 'Unlinked Passenger Trips': 136166, 'Passenger Paid Fares': 124420, 'Average Fare': 0.9137376437583538, 'Average Passengers': 1.5238998410275841}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 7968.624322774964, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7968.624322774964, 'Unlinked Passenger Trips': 23036, 'Passenger Paid Fares': 42117, 'Average Fare': 1.8283122069803786, 'Average Passengers': 0.45281141553619536}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 10931.007901648043, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10931.007901648043, 'Unlinked Passenger Trips': 1054291, 'Passenger Paid Fares': 1901002, 'Average Fare': 1.8031093882049642, 'Average Passengers': 24.891207857210308}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 60048.0, 'Mode': 'CB', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 18656.426793971168, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18656.426793971168, 'Unlinked Passenger Trips': 613852, 'Passenger Paid Fares': 466585, 'Average Fare': 0.7600936382059519, 'Average Passengers': 7.097817189445217}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 19456.93455720475, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 19456.93455720475, 'Unlinked Passenger Trips': 712779, 'Passenger Paid Fares': 320633, 'Average Fare': 0.4498350821222286, 'Average Passengers': 17.787482531443402}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70002.0, 'Mode': 'DR', 'UACE Code': '65269', 'Gasoline (%)': 76.8389899092576, 'Diesel (%)': 5.544890967071835, 'LPG (%)': None, 'CNG (%)': 17.616119123670565, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2592.9593071001136, 'Diesel (Wh/pkm)': 10311.489593713626, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 900.9823435826364, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2722.882718314948, 'Unlinked Passenger Trips': 106857, 'Passenger Paid Fares': 281894, 'Average Fare': 2.6380489813489056, 'Average Passengers': 0.9663274553132178}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70019.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 6225.518261278497, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6225.518261278497, 'Unlinked Passenger Trips': 9063, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.5647208558357126}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70035.0, 'Mode': 'DR', 'UACE Code': '43912', 'Gasoline (%)': 84.45261564731449, 'Diesel (%)': 15.547384352685501, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 3804.265190191787, 'Diesel (Wh/pkm)': 6715.660215708695, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4256.910964833866, 'Unlinked Passenger Trips': 58664, 'Passenger Paid Fares': 235871, 'Average Fare': 4.020711168689486, 'Average Passengers': 0.72711138858631}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': 54.43508815273861, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3874.404131945913, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470, 'Passenger Paid Fares': 40336, 'Average Fare': 0.42249921441290456, 'Average Passengers': 1.8780559924762932}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90023.0, 'Mode': 'MB', 'UACE Code': '51445', 'Gasoline (%)': 39.417119647705675, 'Diesel (%)': 6.141978072972676, 'LPG (%)': None, 'CNG (%)': 52.11470964631714, 'Hydrogen (%)': None, 'Electric (%)': 2.32619263300451, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 771.6358848636075, 'Diesel (Wh/pkm)': 2550.3365403843195, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 167.59976031846787, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 113.42638415491336, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 550.7803957287234, 'Unlinked Passenger Trips': 23781730, 'Passenger Paid Fares': 12095804, 'Average Fare': 0.5086174975495895, 'Average Passengers': 9.574538966784441}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': 39.70506239064814, 'LPG (%)': 7.3494068562419494, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': 2811.5581201303357, 'LPG (Wh/pkm)': 2240.0982891950684, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659, 'Passenger Paid Fares': 6233, 'Average Fare': 0.060715572916159324, 'Average Passengers': 1.916986850466833}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 90062.0, 'Mode': 'CB', 'UACE Code': '80362', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2829.834881601391, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2829.834881601391, 'Unlinked Passenger Trips': 75699, 'Passenger Paid Fares': 1150344, 'Average Fare': 15.19629057187017, 'Average Passengers': 3.428408272294882}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90092.0, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2704.6490846777547, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2704.6490846777547, 'Unlinked Passenger Trips': 570239, 'Passenger Paid Fares': 557857, 'Average Fare': 0.9782862974998202, 'Average Passengers': 1.7750677320139998}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': 80.58870253354448, 'LPG (%)': None, 'CNG (%)': 19.41129746645553, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3175.3081875234484, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1410.4855380703684, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2832.733213282729, 'Unlinked Passenger Trips': 798280, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.8504018641429175}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90232.0, 'Mode': 'MB', 'UACE Code': '90028', 'Gasoline (%)': None, 'Diesel (%)': 97.0682207747686, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 2.9317792252314026, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2249.9405365158223, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 61.91101192243724, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2185.7923414718643, 'Unlinked Passenger Trips': 681420, 'Passenger Paid Fares': 789222, 'Average Fare': 1.1582019899621379, 'Average Passengers': 2.572930029271637}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40141.0, 'Mode': 'MB', 'UACE Code': '18964', 'Gasoline (%)': None, 'Diesel (%)': 85.22138919126245, 'LPG (%)': 14.778610808737566, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2028.5686915381375, 'LPG (Wh/pkm)': 2821.172581133287, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2145.704535636321, 'Unlinked Passenger Trips': 2575627, 'Passenger Paid Fares': 1952516, 'Average Fare': 0.7580740534246613, 'Average Passengers': 2.3899665297014887}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': None, 'LPG (%)': 7.3494068562419494, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': 2240.0982891950684, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659, 'Passenger Paid Fares': 6233, 'Average Fare': 0.060715572916159324, 'Average Passengers': 1.916986850466833}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 30006.0, 'Mode': 'RB', 'UACE Code': '74746', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 52.98070617754295, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52.98070617754295, 'Unlinked Passenger Trips': 56952, 'Passenger Paid Fares': 14278, 'Average Fare': 0.2507023458350892, 'Average Passengers': 15.97283352637675}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30025.0, 'Mode': 'MB', 'UACE Code': '80227', 'Gasoline (%)': 19.037496185134124, 'Diesel (%)': 79.80871616728197, 'LPG (%)': None, 'CNG (%)': 1.1537876475838864, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 720.4074604091402, 'Diesel (Wh/pkm)': 1166.0932352665964, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 7358.447631321932, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1152.6924429967269, 'Unlinked Passenger Trips': 1001102, 'Passenger Paid Fares': 1031540, 'Average Fare': 1.0304044942473394, 'Average Passengers': 3.6493754251818467}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 80011.0, 'Mode': 'RB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 202.18234678577932, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 202.18234678577932, 'Unlinked Passenger Trips': 1468030, 'Passenger Paid Fares': 128357, 'Average Fare': 0.0874348616853879, 'Average Passengers': 11.162100497908302}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 100.0, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 6984.494620629782, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6984.494620629782, 'Unlinked Passenger Trips': 16065, 'Passenger Paid Fares': 1016293, 'Average Fare': 63.26131341425459, 'Average Passengers': 0.6161567721332738}\n", + "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 50.86126172332853, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50.86126172332853, 'Unlinked Passenger Trips': 2021780, 'Passenger Paid Fares': 4265280, 'Average Fare': 2.1096657400904153, 'Average Passengers': 34.7863041982106}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 418.22366105260414, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 418.22366105260414, 'Unlinked Passenger Trips': 7655539, 'Passenger Paid Fares': 9393519, 'Average Fare': 1.2270225519065345, 'Average Passengers': 19.51515856975741}\n", + "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 189.87295352903863, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 189.87295352903863, 'Unlinked Passenger Trips': 8916972, 'Passenger Paid Fares': 11513200, 'Average Fare': 1.2911557869644539, 'Average Passengers': 34.566785144846854}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 456.16675346080865, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 456.16675346080865, 'Unlinked Passenger Trips': 1417350, 'Passenger Paid Fares': 1566824, 'Average Fare': 1.1054601897908067, 'Average Passengers': 12.711593026402259}\n", + "Removing SR outlier: expected (np.float64(-1222.1657799665954), np.float64(2777.0354516470434)), got {'NTD ID': 30112.0, 'Mode': 'SR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 3272.1838361779364, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3272.1838361779364, 'Unlinked Passenger Trips': 1171527, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 7.065463243317459}\n", + "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 158.0018358518024, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 158.0018358518024, 'Unlinked Passenger Trips': 6273379, 'Passenger Paid Fares': 7756829, 'Average Fare': 1.2364674603590824, 'Average Passengers': 39.74889305554377}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 881.2981978302345, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 881.2981978302345, 'Unlinked Passenger Trips': 1638170, 'Passenger Paid Fares': 2751696, 'Average Fare': 1.6797377561547335, 'Average Passengers': 13.993913171767753}\n", + "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 1460.5937127921873, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1460.5937127921873, 'Unlinked Passenger Trips': 962251, 'Passenger Paid Fares': 5420678, 'Average Fare': 5.633330596694625, 'Average Passengers': 7.715496004780647}\n", + "Removing TB outlier: expected (np.float64(293.2556767230959), np.float64(484.2287457542076)), got {'NTD ID': 90015.0, 'Mode': 'TB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': 100.0, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': 275.50451416876564, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 275.50451416876564, 'Unlinked Passenger Trips': 49199803, 'Passenger Paid Fares': 39448290, 'Average Fare': 0.8017977226453529, 'Average Passengers': 12.071062251548838}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 40196.0, 'Mode': 'VP', 'UACE Code': '51755', 'Gasoline (%)': 61.27744357254144, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 38.72255642745856, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 400.92451576117185, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 13.271413392282179, 'All Fuels (Wh/pkm)': 250.8153244535849, 'Unlinked Passenger Trips': 174330, 'Passenger Paid Fares': 501565, 'Average Fare': 2.8771009005908335, 'Average Passengers': 5.114782706915539}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90032.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.150230867731141, 'Diesel (%)': 32.52664234754539, 'LPG (%)': None, 'CNG (%)': 62.34575010865644, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 2.9773766760670224, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 844.7243636986898, 'Diesel (Wh/pkm)': 1437.434876542263, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 293.47345526142374, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 5043.159478704986, 'All Fuels (Wh/pkm)': 818.8349063956298, 'Unlinked Passenger Trips': 37451567, 'Passenger Paid Fares': 27725802, 'Average Fare': 0.7403108660313199, 'Average Passengers': 4.990370537843251}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90136.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 2.118448985762912, 'Diesel (%)': 20.012873028726787, 'LPG (%)': None, 'CNG (%)': 76.57222673071647, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 1.2964512547938318, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 1119.8839146099215, 'Diesel (Wh/pkm)': 1235.3749487920493, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 387.1561757462195, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 4352.750658468742, 'All Fuels (Wh/pkm)': 623.8435845853585, 'Unlinked Passenger Trips': 14730245, 'Passenger Paid Fares': 10117067, 'Average Fare': 0.6868227242656181, 'Average Passengers': 4.2604881219820525}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90244.0, 'Mode': 'MB', 'UACE Code': '90946', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 92.19645108608275, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': 7.80354891391726, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 443.3641387490912, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': 2308.470241687648, 'All Fuels (Wh/pkm)': 588.9086057883575, 'Unlinked Passenger Trips': 288833, 'Passenger Paid Fares': 229732, 'Average Fare': 0.795380029290282, 'Average Passengers': 2.1943160417736687}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 6.0, 'Mode': 'DR', 'UACE Code': '97507', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11113.067118725423, 'Unlinked Passenger Trips': 69112, 'Passenger Paid Fares': 83154, 'Average Fare': 1.2031774510938766, 'Average Passengers': 0.6205514274540478}\n", + "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 23.0, 'Mode': 'MG', 'UACE Code': '80389', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 50.86126172332853, 'Unlinked Passenger Trips': 2021780, 'Passenger Paid Fares': 4265280, 'Average Fare': 2.1096657400904153, 'Average Passengers': 34.7863041982106}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 25.0, 'Mode': 'DR', 'UACE Code': '78229', 'Gasoline (%)': None, 'Diesel (%)': 21.879390945013803, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 5117.002539938507, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9390.032560879963, 'Unlinked Passenger Trips': 455807, 'Passenger Paid Fares': 415049, 'Average Fare': 0.9105805746730524, 'Average Passengers': 0.8772620621541259}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 376.0, 'Mode': 'MB', 'UACE Code': '71317', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2794.64187695904, 'Unlinked Passenger Trips': 110156, 'Passenger Paid Fares': 3605, 'Average Fare': 0.03272631540724064, 'Average Passengers': 1.5073052237475488}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10040.0, 'Mode': 'DR', 'UACE Code': '64135', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8105.551988473328, 'Unlinked Passenger Trips': 6577, 'Passenger Paid Fares': 22454, 'Average Fare': 3.4140185494906494, 'Average Passengers': 0.26992472670877937}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 10098.0, 'Mode': 'DR', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 12884.083755389069, 'Unlinked Passenger Trips': 49103, 'Passenger Paid Fares': 32285, 'Average Fare': 0.6574954687086328, 'Average Passengers': 0.7167127921279214}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 10098.0, 'Mode': 'MB', 'UACE Code': '49339', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5143.662593931756, 'Unlinked Passenger Trips': 165357, 'Passenger Paid Fares': 29557, 'Average Fare': 0.1787465907097976, 'Average Passengers': 1.2319623152109054}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 10102.0, 'Mode': 'CB', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1851.5980796600195, 'Unlinked Passenger Trips': 187392, 'Passenger Paid Fares': 637296, 'Average Fare': 3.4008709016393444, 'Average Passengers': 6.648636374413849}\n", + "Removing CR outlier: expected (np.float64(-442.7371125594352), np.float64(1121.2913727208227)), got {'NTD ID': 10102.0, 'Mode': 'CR', 'UACE Code': '37243', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1647.8048169276612, 'Unlinked Passenger Trips': 720765, 'Passenger Paid Fares': 2258611, 'Average Fare': 3.1336302400921245, 'Average Passengers': 33.464294816436464}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20002.0, 'Mode': 'DR', 'UACE Code': '00970', 'Gasoline (%)': 100.0, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2540.180334381893, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10634.508258114589, 'Unlinked Passenger Trips': 127599, 'Passenger Paid Fares': 245922, 'Average Fare': 1.927303505513366, 'Average Passengers': 0.8310025131570918}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20006.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2506.570613547485, 'Unlinked Passenger Trips': 207876, 'Passenger Paid Fares': 349357, 'Average Fare': 1.6806028593969482, 'Average Passengers': 1.326970163309369}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20010.0, 'Mode': 'DR', 'UACE Code': '71803', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13309.127568372347, 'Unlinked Passenger Trips': 22064, 'Passenger Paid Fares': 45485, 'Average Fare': 2.0615029006526466, 'Average Passengers': 0.7174331996458149}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 20018.0, 'Mode': 'DR', 'UACE Code': '86302', 'Gasoline (%)': None, 'Diesel (%)': 42.19012287761903, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 4942.24554735985, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6987.653767165117, 'Unlinked Passenger Trips': 181100, 'Passenger Paid Fares': 405350, 'Average Fare': 2.2382661512976254, 'Average Passengers': 0.7451799008660906}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20071.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2346.8857009019134, 'Unlinked Passenger Trips': 113869, 'Passenger Paid Fares': 133435, 'Average Fare': 1.1718290316064952, 'Average Passengers': 1.2396793853982782}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 20078.0, 'Mode': 'MB', 'UACE Code': '63217', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2644.552506718471, 'Unlinked Passenger Trips': 399621, 'Passenger Paid Fares': 604607, 'Average Fare': 1.512951021092485, 'Average Passengers': 1.8517260172311831}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30002.0, 'Mode': 'DR', 'UACE Code': '40753', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5808.439419361114, 'Unlinked Passenger Trips': 36205, 'Passenger Paid Fares': 166348, 'Average Fare': 4.594614003590665, 'Average Passengers': 0.5305142680545305}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 30006.0, 'Mode': 'RB', 'UACE Code': '74746', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 52.98070617754295, 'Unlinked Passenger Trips': 56952, 'Passenger Paid Fares': 14278, 'Average Fare': 0.2507023458350892, 'Average Passengers': 15.97283352637675}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30022.0, 'Mode': 'LR', 'UACE Code': '69697', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 418.22366105260414, 'Unlinked Passenger Trips': 7655539, 'Passenger Paid Fares': 9393519, 'Average Fare': 1.2270225519065345, 'Average Passengers': 19.51515856975741}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 30034.0, 'Mode': 'CB', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 9751.589502345398, 'Unlinked Passenger Trips': 3819821, 'Passenger Paid Fares': 20089000, 'Average Fare': 5.259146960027708, 'Average Passengers': 7.6649264270051365}\n", + "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 30034.0, 'Mode': 'HR', 'UACE Code': '04843', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 189.87295352903863, 'Unlinked Passenger Trips': 8916972, 'Passenger Paid Fares': 11513200, 'Average Fare': 1.2911557869644539, 'Average Passengers': 34.566785144846854}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 30035.0, 'Mode': 'MB', 'UACE Code': '94726', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 5111.140422517091, 'Unlinked Passenger Trips': 361305, 'Passenger Paid Fares': 382410, 'Average Fare': 1.0584132519616392, 'Average Passengers': 1.6824655143051772}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 30070.0, 'Mode': 'VP', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1998.8523367002883, 'Unlinked Passenger Trips': 1357102, 'Passenger Paid Fares': 9268545, 'Average Fare': 6.829659819232453, 'Average Passengers': 5.832260189475615}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30081.0, 'Mode': 'DR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 748615.0311372413, 'Unlinked Passenger Trips': 13267, 'Passenger Paid Fares': 24688, 'Average Fare': 1.860857767392779, 'Average Passengers': 0.5261998231104629}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 30083.0, 'Mode': 'LR', 'UACE Code': '90892', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 456.16675346080865, 'Unlinked Passenger Trips': 1417350, 'Passenger Paid Fares': 1566824, 'Average Fare': 1.1054601897908067, 'Average Passengers': 12.711593026402259}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 30091.0, 'Mode': 'DR', 'UACE Code': '08002', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8690.365463526998, 'Unlinked Passenger Trips': 29828, 'Passenger Paid Fares': 4853, 'Average Fare': 0.16269947700147513, 'Average Passengers': 0.5222308132706122}\n", + "Removing SR outlier: expected (np.float64(-1222.1657799665954), np.float64(2777.0354516470434)), got {'NTD ID': 30112.0, 'Mode': 'SR', 'UACE Code': '92242', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3272.1838361779364, 'Unlinked Passenger Trips': 1171527, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 7.065463243317459}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40015.0, 'Mode': 'MB', 'UACE Code': '42211', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7403.558620491305, 'Unlinked Passenger Trips': 518302, 'Passenger Paid Fares': 359486, 'Average Fare': 0.6935840494537934, 'Average Passengers': 1.1375623416719443}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 40035.0, 'Mode': 'RB', 'UACE Code': '65863', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2928.1153343519086, 'Unlinked Passenger Trips': 1038345, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 2.3918120099237044}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 40040.0, 'Mode': 'FB', 'UACE Code': '42346', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 14922.442822659325, 'Unlinked Passenger Trips': 437999, 'Passenger Paid Fares': 1452129, 'Average Fare': 3.315370583037861, 'Average Passengers': 23.7928536938677}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40046.0, 'Mode': 'CB', 'UACE Code': '09536', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1804.0730486777745, 'Unlinked Passenger Trips': 12324, 'Passenger Paid Fares': 66135, 'Average Fare': 5.3663583252190845, 'Average Passengers': 2.6416059909840515}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40051.0, 'Mode': 'DR', 'UACE Code': '25228', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6537.162696105448, 'Unlinked Passenger Trips': 62280, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.8076217394864454}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40063.0, 'Mode': 'MB', 'UACE Code': '67105', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4351.2434742743235, 'Unlinked Passenger Trips': 2118469, 'Passenger Paid Fares': 734165, 'Average Fare': 0.34655451649280683, 'Average Passengers': 6.4479086501057665}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40078.0, 'Mode': 'CB', 'UACE Code': '03817', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2471.6955327734104, 'Unlinked Passenger Trips': 328614, 'Passenger Paid Fares': 528738, 'Average Fare': 1.6089941390202487, 'Average Passengers': 8.55295566502463}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40100.0, 'Mode': 'MB', 'UACE Code': '85708', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 2120.9764667917434, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4754.139201105951, 'Unlinked Passenger Trips': 129242, 'Passenger Paid Fares': 46824, 'Average Fare': 0.3622970860865663, 'Average Passengers': 2.269933899793511}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 40180.0, 'Mode': 'DR', 'UACE Code': '03763', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 11476.34359034371, 'Unlinked Passenger Trips': 7566, 'Passenger Paid Fares': 10606, 'Average Fare': 1.401797515199577, 'Average Passengers': 0.22188315075639017}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 40192.0, 'Mode': 'CB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2400.7947136944563, 'Unlinked Passenger Trips': 7349, 'Passenger Paid Fares': 12724, 'Average Fare': 1.7313920261260036, 'Average Passengers': 1.0888598842951884}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40192.0, 'Mode': 'MB', 'UACE Code': '71479', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3254.8124979546997, 'Unlinked Passenger Trips': 76118, 'Passenger Paid Fares': 66420, 'Average Fare': 0.8725925536666754, 'Average Passengers': 1.3392502045438537}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 40258.0, 'Mode': 'MB', 'UACE Code': '86599', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3377.1009503548376, 'Unlinked Passenger Trips': 45437, 'Passenger Paid Fares': 10162, 'Average Fare': 0.22365032902700444, 'Average Passengers': 1.2028862847222224}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 44929.0, 'Mode': 'FB', 'UACE Code': '56602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 37767.844905213315, 'Unlinked Passenger Trips': 46490, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 1.4072051255120261}\n", + "Removing HR outlier: expected (np.float64(-36.22852867618355), np.float64(133.51608815337576)), got {'NTD ID': 50015.0, 'Mode': 'HR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 158.0018358518024, 'Unlinked Passenger Trips': 6273379, 'Passenger Paid Fares': 7756829, 'Average Fare': 1.2364674603590824, 'Average Passengers': 39.74889305554377}\n", + "Removing LR outlier: expected (np.float64(-59.12661635446477), np.float64(331.3225859355149)), got {'NTD ID': 50015.0, 'Mode': 'LR', 'UACE Code': '17668', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 881.2981978302345, 'Unlinked Passenger Trips': 1638170, 'Passenger Paid Fares': 2751696, 'Average Fare': 1.6797377561547335, 'Average Passengers': 13.993913171767753}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50040.0, 'Mode': 'CB', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2383.3248085743967, 'Unlinked Passenger Trips': 117372, 'Passenger Paid Fares': 1070761, 'Average Fare': 9.122797600790648, 'Average Passengers': 7.627267764655757}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50040.0, 'Mode': 'DR', 'UACE Code': '02602', 'Gasoline (%)': None, 'Diesel (%)': 100.0, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': 3515.0373430277245, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 16683.43964306351, 'Unlinked Passenger Trips': 166583, 'Passenger Paid Fares': 689841, 'Average Fare': 4.141124844672025, 'Average Passengers': 0.7894019123629135}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50045.0, 'Mode': 'MB', 'UACE Code': '16264', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 4847.721917758309, 'Unlinked Passenger Trips': 785219, 'Passenger Paid Fares': 673955, 'Average Fare': 0.8583019514301106, 'Average Passengers': 1.0750986934375004}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50053.0, 'Mode': 'MB', 'UACE Code': '87139', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3057.277908880383, 'Unlinked Passenger Trips': 241250, 'Passenger Paid Fares': 126354, 'Average Fare': 0.5237471502590674, 'Average Passengers': 0.9823859142494528}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 50157.0, 'Mode': 'CB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15535.009430799379, 'Unlinked Passenger Trips': 83864, 'Passenger Paid Fares': 65622, 'Average Fare': 0.78248115997329, 'Average Passengers': 1.6795477964489538}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50166.0, 'Mode': 'MB', 'UACE Code': '16885', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3932.162810336112, 'Unlinked Passenger Trips': 44941, 'Passenger Paid Fares': 233977, 'Average Fare': 5.206314946262878, 'Average Passengers': 3.3114270313451297}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 50199.0, 'Mode': 'MB', 'UACE Code': '19234', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15226.807026426668, 'Unlinked Passenger Trips': 46693, 'Passenger Paid Fares': 28388, 'Average Fare': 0.6079712162422632, 'Average Passengers': 1.2299358594297418}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50516.0, 'Mode': 'DR', 'UACE Code': '57628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6879.000620670795, 'Unlinked Passenger Trips': 27514, 'Passenger Paid Fares': 55580, 'Average Fare': 2.020062513629425, 'Average Passengers': 0.82491271720374}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 50522.0, 'Mode': 'DR', 'UACE Code': '58357', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7776.315475600951, 'Unlinked Passenger Trips': 136166, 'Passenger Paid Fares': 124420, 'Average Fare': 0.9137376437583538, 'Average Passengers': 1.5238998410275841}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60008.0, 'Mode': 'DR', 'UACE Code': '40429', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6170.23624190135, 'Unlinked Passenger Trips': 1774466, 'Passenger Paid Fares': 1667202, 'Average Fare': 0.9395513917989976, 'Average Passengers': 0.8939352350813841}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 60016.0, 'Mode': 'DR', 'UACE Code': '06058', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 7968.624322774964, 'Unlinked Passenger Trips': 23036, 'Passenger Paid Fares': 42117, 'Average Fare': 1.8283122069803786, 'Average Passengers': 0.45281141553619536}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60032.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10931.007901648043, 'Unlinked Passenger Trips': 1054291, 'Passenger Paid Fares': 1901002, 'Average Fare': 1.8031093882049642, 'Average Passengers': 24.891207857210308}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 60048.0, 'Mode': 'CB', 'UACE Code': '04384', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 18656.426793971168, 'Unlinked Passenger Trips': 613852, 'Passenger Paid Fares': 466585, 'Average Fare': 0.7600936382059519, 'Average Passengers': 7.097817189445217}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60111.0, 'Mode': 'MB', 'UACE Code': '01171', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 10331.822965799565, 'Unlinked Passenger Trips': 6046, 'Passenger Paid Fares': 4028, 'Average Fare': 0.6662256037049289, 'Average Passengers': 0.5242906039527437}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 60114.0, 'Mode': 'MB', 'UACE Code': '22042', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 23032.357706238046, 'Unlinked Passenger Trips': 71545, 'Passenger Paid Fares': 17522, 'Average Fare': 0.24490879865818715, 'Average Passengers': 1.1378277234968281}\n", + "Removing FB outlier: expected (np.float64(-2705.487701457465), np.float64(8977.13455287122)), got {'NTD ID': 60127.0, 'Mode': 'FB', 'UACE Code': '62677', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 19456.93455720475, 'Unlinked Passenger Trips': 712779, 'Passenger Paid Fares': 320633, 'Average Fare': 0.4498350821222286, 'Average Passengers': 17.787482531443402}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 70019.0, 'Mode': 'DR', 'UACE Code': '41590', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6225.518261278497, 'Unlinked Passenger Trips': 9063, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.5647208558357126}\n", + "Removing RB outlier: expected (np.float64(296.1564434915553), np.float64(920.0862845684755)), got {'NTD ID': 80011.0, 'Mode': 'RB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 202.18234678577932, 'Unlinked Passenger Trips': 1468030, 'Passenger Paid Fares': 128357, 'Average Fare': 0.0874348616853879, 'Average Passengers': 11.162100497908302}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 80025.0, 'Mode': 'MB', 'UACE Code': '30628', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 3337.989325088218, 'Unlinked Passenger Trips': 95470, 'Passenger Paid Fares': 40336, 'Average Fare': 0.42249921441290456, 'Average Passengers': 1.8780559924762932}\n", + "Removing MG outlier: expected (np.float64(335.8908335666337), np.float64(864.4242097679221)), got {'NTD ID': 90003.0, 'Mode': 'MG', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 1460.5937127921873, 'Unlinked Passenger Trips': 962251, 'Passenger Paid Fares': 5420678, 'Average Fare': 5.633330596694625, 'Average Passengers': 7.715496004780647}\n", + "Removing TB outlier: expected (np.float64(293.2556767230959), np.float64(484.2287457542076)), got {'NTD ID': 90015.0, 'Mode': 'TB', 'UACE Code': '78904', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 275.50451416876564, 'Unlinked Passenger Trips': 49199803, 'Passenger Paid Fares': 39448290, 'Average Fare': 0.8017977226453529, 'Average Passengers': 12.071062251548838}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90019.0, 'Mode': 'DR', 'UACE Code': '77068', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 6984.494620629782, 'Unlinked Passenger Trips': 16065, 'Passenger Paid Fares': 1016293, 'Average Fare': 63.26131341425459, 'Average Passengers': 0.6161567721332738}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90034.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': 52.94553075310993, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': 2142.5003965041965, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2415.323049316376, 'Unlinked Passenger Trips': 102659, 'Passenger Paid Fares': 6233, 'Average Fare': 0.060715572916159324, 'Average Passengers': 1.916986850466833}\n", + "Removing CB outlier: expected (np.float64(-487.0940864756656), np.float64(1776.3594793905122)), got {'NTD ID': 90062.0, 'Mode': 'CB', 'UACE Code': '80362', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2829.834881601391, 'Unlinked Passenger Trips': 75699, 'Passenger Paid Fares': 1150344, 'Average Fare': 15.19629057187017, 'Average Passengers': 3.428408272294882}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90092.0, 'Mode': 'MB', 'UACE Code': '28657', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2704.6490846777547, 'Unlinked Passenger Trips': 570239, 'Passenger Paid Fares': 557857, 'Average Fare': 0.9782862974998202, 'Average Passengers': 1.7750677320139998}\n", + "Removing MB outlier: expected (np.float64(-324.22302803112905), np.float64(2190.0171918702295)), got {'NTD ID': 90131.0, 'Mode': 'MB', 'UACE Code': '69184', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 19.41129746645553, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 1410.4855380703684, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 2832.733213282729, 'Unlinked Passenger Trips': 798280, 'Passenger Paid Fares': None, 'Average Fare': None, 'Average Passengers': 0.8504018641429175}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90147.0, 'Mode': 'DR', 'UACE Code': '51445', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': 1.0916788148558296, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': 328.37494037643586, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 8576.671865182032, 'Unlinked Passenger Trips': 202456, 'Passenger Paid Fares': 156021, 'Average Fare': 0.7706415221085076, 'Average Passengers': 0.754453295406712}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90148.0, 'Mode': 'VP', 'UACE Code': '90541', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 584.0544347266375, 'Unlinked Passenger Trips': 607617, 'Passenger Paid Fares': 2505057, 'Average Fare': 4.122756604900784, 'Average Passengers': 5.2338527767856675}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90162.0, 'Mode': 'DR', 'UACE Code': '02683', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 13427.18241542374, 'Unlinked Passenger Trips': 125558, 'Passenger Paid Fares': 323605, 'Average Fare': 2.5773347775530033, 'Average Passengers': 0.9128593212420353}\n", + "Removing DR outlier: expected (np.float64(-89.22410290098333), np.float64(5670.8027255276775)), got {'NTD ID': 90200.0, 'Mode': 'DR', 'UACE Code': '36703', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 15066.488335026846, 'Unlinked Passenger Trips': 14294, 'Passenger Paid Fares': 23403, 'Average Fare': 1.6372603889743949, 'Average Passengers': 0.7844476294859904}\n", + "Removing VP outlier: expected (np.float64(51.12870972302275), np.float64(433.47143775892357)), got {'NTD ID': 90233.0, 'Mode': 'VP', 'UACE Code': '98020', 'Gasoline (%)': None, 'Diesel (%)': None, 'LPG (%)': None, 'CNG (%)': None, 'Hydrogen (%)': None, 'Electric (%)': None, 'Other (%)': None, 'All Fuels (%)': 100.0, 'Gasoline (Wh/pkm)': None, 'Diesel (Wh/pkm)': None, 'LPG (Wh/pkm)': None, 'CNG (Wh/pkm)': None, 'Hydrogen (Wh/pkm)': None, 'Electric (Wh/pkm)': None, 'Other (Wh/pkm)': None, 'All Fuels (Wh/pkm)': 502.1240769356721, 'Unlinked Passenger Trips': 67622, 'Passenger Paid Fares': 369539, 'Average Fare': 5.4647747774392945, 'Average Passengers': 4.752213324363602}\n", "DR desc: count 893.000000\n", "mean 2580.413098\n", "std 1142.413938\n", @@ -16007,52 +15587,16 @@ "25% 313.323454\n", "50% 436.385581\n", "75% 718.526559\n", - "max 1745.550262\n", - "dtype: float64\n", - "MG desc: count 8.000000\n", - "mean 591.075202\n", - "std 66.951441\n", - "min 525.479091\n", - "25% 551.314367\n", - "50% 572.910563\n", - "75% 612.671399\n", - "max 693.000591\n", - "dtype: float64\n", - "CR desc: count 50.000000\n", - "mean 333.387885\n", - "std 285.150534\n", - "min 12.056034\n", - "25% 76.944251\n", - "50% 282.772710\n", - "75% 462.513884\n", - "max 1024.176962\n", - "dtype: float64\n", - "AR desc: count 2.000000\n", - "mean 110.463809\n", - "std 0.000000\n", - "min 110.463809\n", - "25% 110.463809\n", - "50% 110.463809\n", - "75% 110.463809\n", - "max 110.463809\n", - "dtype: float64\n", - "TR desc: count 2.000000\n", - "mean 176.243363\n", - "std 0.000000\n", - "min 176.243363\n", - "25% 176.243363\n", - "50% 176.243363\n", - "75% 176.243363\n", - "max 176.243363\n", + "max 1745.550262\n", "dtype: float64\n", - "HR desc: count 26.000000\n", - "mean 41.230723\n", - "std 23.485197\n", - "min 11.568722\n", - "25% 22.551414\n", - "50% 37.843691\n", - "75% 50.448267\n", - "max 89.070422\n", + "MG desc: count 8.000000\n", + "mean 591.075202\n", + "std 66.951441\n", + "min 525.479091\n", + "25% 551.314367\n", + "50% 572.910563\n", + "75% 612.671399\n", + "max 693.000591\n", "dtype: float64\n" ] }, @@ -16093,6 +15637,7 @@ " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", + "DEBUG:matplotlib.backends.backend_pdf:Assigning font /F1 = '/Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'\n", "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", @@ -16132,6 +15677,42 @@ "name": "stdout", "output_type": "stream", "text": [ + "CR desc: count 50.000000\n", + "mean 333.387885\n", + "std 285.150534\n", + "min 12.056034\n", + "25% 76.944251\n", + "50% 282.772710\n", + "75% 462.513884\n", + "max 1024.176962\n", + "dtype: float64\n", + "AR desc: count 2.000000\n", + "mean 110.463809\n", + "std 0.000000\n", + "min 110.463809\n", + "25% 110.463809\n", + "50% 110.463809\n", + "75% 110.463809\n", + "max 110.463809\n", + "dtype: float64\n", + "TR desc: count 2.000000\n", + "mean 176.243363\n", + "std 0.000000\n", + "min 176.243363\n", + "25% 176.243363\n", + "50% 176.243363\n", + "75% 176.243363\n", + "max 176.243363\n", + "dtype: float64\n", + "HR desc: count 26.000000\n", + "mean 41.230723\n", + "std 23.485197\n", + "min 11.568722\n", + "25% 22.551414\n", + "50% 37.843691\n", + "75% 50.448267\n", + "max 89.070422\n", + "dtype: float64\n", "IP desc: count 6.000000\n", "mean 2871.250001\n", "std 2931.439465\n", @@ -16300,190 +15881,8 @@ " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([2.e-02, 3.e-02, 4.e-02, 5.e-02, 6.e-02, 7.e-02, 8.e-02, 9.e-02,\n", - " 2.e-01, 3.e-01, 4.e-01, 5.e-01, 6.e-01, 7.e-01, 8.e-01, 9.e-01,\n", - " 2.e+00, 3.e+00, 4.e+00, 5.e+00, 6.e+00, 7.e+00, 8.e+00, 9.e+00,\n", - " 2.e+01, 3.e+01, 4.e+01, 5.e+01, 6.e+01, 7.e+01, 8.e+01, 9.e+01,\n", - " 2.e+02, 3.e+02, 4.e+02, 5.e+02, 6.e+02, 7.e+02, 8.e+02, 9.e+02,\n", - " 2.e+03, 3.e+03, 4.e+03, 5.e+03, 6.e+03, 7.e+03, 8.e+03, 9.e+03,\n", - " 2.e+04, 3.e+04, 4.e+04, 5.e+04, 6.e+04, 7.e+04, 8.e+04, 9.e+04])\n", - "DEBUG:matplotlib.ticker:vmin 0.8008091997686577 vmax 106.14263675361777\n", - "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n", + "DEBUG:matplotlib.backends.backend_pdf:Embedding font /Users/jfleisc1/ENV3/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.\n", + "DEBUG:matplotlib.backends.backend_pdf:Writing TrueType font.\n", "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03])\n", "DEBUG:matplotlib.ticker:vmin 0.8240203518378003 vmax 58.25098845307195\n", @@ -16624,20 +16023,11 @@ "DEBUG:matplotlib.ticker:ticklocs array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])\n" ] }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "name": "stdout", "output_type": "stream", "text": [ + "Saved figure as plots/distribution_of_wh_pkm_after_removing_outliers_2018_3.pdf\n", "Done generating NTD intensities json files\n" ] } @@ -16647,13 +16037,13 @@ " urls = ntd_urls[year].values()\n", " output_filename = f\"../src/emcommon/resources/ntd{year}_intensities.json\"\n", "\n", - " if is_up_to_date(output_filename, urls):\n", - " continue\n", + " # if is_up_to_date(output_filename, urls):\n", + " # continue\n", "\n", " df = make_merged_ntd_df(year)\n", " # display(df)\n", " # print('~'*90)\n", - " df = remove_outliers(df)\n", + " df = remove_outliers(df, year)\n", "\n", " # convert to JSON\n", " df = df.convert_dtypes()\n", @@ -16683,7 +16073,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -16693,7 +16083,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -16702,7 +16092,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -16711,16 +16101,16 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "({'average_fare': 4.481926210650899,\n", - " 'diesel': {'weight': 1.0, 'wh_per_km': 2759.216030326239},\n", - " 'overall': {'weight': 1.0, 'wh_per_km': 2759.216030326239}},\n", + "({'average_fare': 2.213850868836879,\n", + " 'diesel': {'weight': 1.0, 'wh_per_km': 5422.9242966123265},\n", + " 'overall': {'weight': 1.0, 'wh_per_km': 5422.9242966123265}},\n", " {'data_source_urls': ['https://data.transportation.gov/api/views/8ehq-7his/rows.csv?date=20231027&accessType=DOWNLOAD&bom=true&format=true',\n", " 'https://data.transportation.gov/api/views/4fir-qbim/rows.csv?date=20231102&accessType=DOWNLOAD&bom=true&format=true',\n", " 'https://www.transit.dot.gov/sites/fta.dot.gov/files/2024-04/2022%20Fare%20Revenue.xlsx',\n", @@ -16741,14 +16131,28 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): geocoding.geo.census.gov:443\n", + "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): geocoding.geo.census.gov:443\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "https://geocoding.geo.census.gov/geocoder/geographies/coordinates?x=-82.328132&y=29.626142&benchmark=Public_AR_Current&vintage=Census2020_Current&layers=87&format=json\n", + "####################################################################################################\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ "DEBUG:urllib3.connectionpool:https://geocoding.geo.census.gov:443 \"GET /geocoder/geographies/coordinates?x=-82.328132&y=29.626142&benchmark=Public_AR_Current&vintage=Census2020_Current&layers=87&format=json HTTP/11\" 200 4954\n" ] } @@ -16759,18 +16163,18 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "({'average_fare': 0.07352028470412668,\n", - " 'diesel': {'weight': 0.9443031671003442, 'wh_per_km': 1522.938357344499},\n", - " 'electric': {'weight': 0.011609726444927405, 'wh_per_km': 198.19074823614406},\n", - " 'gasoline': {'weight': 0.04408710645472842, 'wh_per_km': 904.4749916843724},\n", - " 'overall': {'weight': 1.0, 'wh_per_km': 1480.292139753972}},\n", + "({'average_fare': 0.03361652051342716,\n", + " 'diesel': {'weight': 0.939763867305139, 'wh_per_km': 2731.3836289022956},\n", + " 'electric': {'weight': 0.01323088493189888, 'wh_per_km': 455.9238753207569},\n", + " 'gasoline': {'weight': 0.04700524776296217, 'wh_per_km': 1482.1310654698204},\n", + " 'overall': {'weight': 1.0, 'wh_per_km': 2642.555856472832}},\n", " {'data_source_urls': ['https://data.transportation.gov/api/views/8ehq-7his/rows.csv?date=20231027&accessType=DOWNLOAD&bom=true&format=true',\n", " 'https://data.transportation.gov/api/views/4fir-qbim/rows.csv?date=20231102&accessType=DOWNLOAD&bom=true&format=true',\n", " 'https://www.transit.dot.gov/sites/fta.dot.gov/files/2024-04/2022%20Fare%20Revenue.xlsx',\n", @@ -16807,7 +16211,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.6" + "version": "3.12.7" } }, "nbformat": 4, diff --git a/scripts/otp/aws_links.json b/scripts/otp/aws_links.json new file mode 100644 index 0000000..b1cb785 --- /dev/null +++ b/scripts/otp/aws_links.json @@ -0,0 +1,885 @@ +[ + "https://transitfeeds.com/p/rtd-denver/188/latest/download", + 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Guideway' 'Inclined Plane' 'Cable Car' 'Publico' 'Aerial Tramway' 'Alaska Railroad'] + +Regionalize the public transit cost using UACE Code +https://www.naturalearthdata.com/downloads/10m-cultural-vectors/ +----relation with cost of living? + + +COst is just one feature in feature matrix +Can we pull safety + +Frequency of service at the time of day you want to take the trip. +get gtfs, is there a data source that publishes? where can we get the list + +time of day. night may be undesirable + +extend by year, parametrize the year + + # NTD column names ['Agency', 'City', 'Fare Revenues per Unlinked Passenger Trip', 'State', 'NTD ID', 'Organization Type', 'Reporter Type', 'Report Year', @@ -23,3 +46,254 @@ 'Vehicle Revenue Hours Questionable', 'Passenger Miles', 'Passenger Miles Questionable', 'Vehicle Revenue Miles', 'Vehicle Revenue Miles Questionable', 'Total Fare Revenue'] + + + +# chatgpt + +1. can you go on Bing or Google and get the right link +2. Can you extract the right information from that link + + +# User - and gpt collaboration + +1. go on google, get the correct link, and copy it, save it + a. save these links + b. wayback machine and traverse across years and download the past HTMLs and do the same process +2. download the html of that link, and give it to GPT (which is quite accurate.) + +Is this realistic? How long does this take? + +there are 400 bus agencies coming from NTD + + +# TODO + +see if fare price is in the GTFS. + + + +# 9/16 + +if agenc doesnt have fare table, use fare published by nearby agency. +use average state value. + +input: location +output: transit cost + +we also want to input how frequent the transit is coming. the user is +likely dont want to wait around. + +How long is the next transit arriving? use that amount of time as model input. + +consider paratransit, demand response mobility (an additional mode to +the preexisting ones that are GTFS standard) + +---- + +build frequency on top of gtfs since we are going to be using it anyway +for fare. cost, time, frequency. frequency of non transit modes is infinite such as walk. + +may want to use headway (0) meaning theres no wait time to just start walking. headway +for a bus might be 15 minutes. Just look at headway, which means the time between +two subsequent opportunities to take the trip. + +security of the resources. such as shared micromobility, if there is one +dock of scooters, and you go there and there are none, then you are stranded. + +cost, time, availability (density or headway) +10/1 + + +# Timeline + +main intention is choice modelling +first, approximate. + +9/16- i will complete the fare entry for each agency that there is, + and write a function that takes in coordinates (of a trip beginning), and returns + fare price + +9/18- i already have the cost / pmt values for car, and walking, biking, etc. + off of that, build a choice modelling using those values and the coordinate. + + very rudimentary + +9/20- try opentripplanner for getting the transit time + +# is there a latex class for suli paper + +try to get 1st quartile of the fare + + +# 9/18 +move to scripts + +extracting by urban area and list of codes + + + +https://data.transportation.gov/Public-Transit/2022-NTD-Annual-Data-Service-by-Mode-and-Time-Peri/wwdp-t4re/about_data + + +# 9/20 + +Use emcommon/metrics/footprint/footprint_calculations, as a reference + +Get the fare into the json +Figure out a plan how to read them similar to calculating footprint in above ^ +Send NTD email to figure out headway, refer to paper + +rationalize their calculation https://www.sciencedirect.com/science/article/pii/S1077291X22002053 + + +# 9/23 + +outline the proposal of- + +- either combining cost with the intensities because the cost is part of the intensities + line 95 prg metrics/footprint/transit.py- + proposal is to just say intensities['fare'] = my_fare_variable +- OR making a duplicate function (maybe it is repeating ourselves) that just returns the fare according to UACE + +the catch is, that multiple NTD IDs are attached to a single UACE Code. so, do we have to average out +all of the fares that are attached to that particular UACE? + +This has Route Mileage and Start / End times of service for headway +https://data.transportation.gov/Public-Transit/2022-NTD-Annual-Data-Service-by-Mode-and-Time-Peri/wwdp-t4re/explore/query/SELECT%0A%20%20%60agency%60%2C%0A%20%20%60_5_digit_ntd_id%60%2C%0A%20%20%60reporter_type%60%2C%0A%20%20%60organization_type%60%2C%0A%20%20%60city%60%2C%0A%20%20%60state%60%2C%0A%20%20%60report_year%60%2C%0A%20%20%60agency_voms%60%2C%0A%20%20%60mode%60%2C%0A%20%20%60mode_name%60%2C%0A%20%20%60type_of_service%60%2C%0A%20%20%60mode_voms%60%2C%0A%20%20%60mode_voms_questionable%60%2C%0A%20%20%60primary_uza_code%60%2C%0A%20%20%60primary_uza_name%60%2C%0A%20%20%60primary_uza_area_sq_miles%60%2C%0A%20%20%60primary_uza_population%60%2C%0A%20%20%60service_area_sq_miles%60%2C%0A%20%20%60service_area_population%60%2C%0A%20%20%60time_period%60%2C%0A%20%20%60time_service_begins%60%2C%0A%20%20%60time_service_ends%60%2C%0A%20%20%60actual_vehicles_passenger_car_miles%60%2C%0A%20%20%60vehicle_miles_questionable%60%2C%0A%20%20%60actual_vehicles_passenger_car_revenue_miles%60%2C%0A%20%20%60vehicle_revenue_miles_questionable%60%2C%0A%20%20%60actual_vehicles_passenger_deadhead_miles%60%2C%0A%20%20%60deadhead_miles_questionable%60%2C%0A%20%20%60scheduled_vehicles_passenger_car_revenue_miles%60%2C%0A%20%20%60scheduled_revenue_miles_questionable%60%2C%0A%20%20%60actual_vehicles_passenger_car_hours%60%2C%0A%20%20%60vehicle_hours_questionable%60%2C%0A%20%20%60actual_vehicles_passenger_car_revenue_hours%60%2C%0A%20%20%60vehicle_revenue_hours_questionable%60%2C%0A%20%20%60actual_vehicles_passenger_car_deadhead_hours%60%2C%0A%20%20%60deadhead_hours_questionable%60%2C%0A%20%20%60charter_service_hours%60%2C%0A%20%20%60school_bus_hours%60%2C%0A%20%20%60trains_in_operation%60%2C%0A%20%20%60trains_in_operation_questionable%60%2C%0A%20%20%60train_miles%60%2C%0A%20%20%60train_miles_questionable%60%2C%0A%20%20%60train_revenue_miles%60%2C%0A%20%20%60train_revenue_miles_questionable%60%2C%0A%20%20%60train_deadhead_miles%60%2C%0A%20%20%60train_hours%60%2C%0A%20%20%60train_hours_questionable%60%2C%0A%20%20%60train_revenue_hours%60%2C%0A%20%20%60train_revenue_hours_questionable%60%2C%0A%20%20%60train_deadhead_hours%60%2C%0A%20%20%60unlinked_passenger_trips_upt%60%2C%0A%20%20%60unlinked_passenger_trips_questionable%60%2C%0A%20%20%60ada_upt%60%2C%0A%20%20%60sponsored_service_upt%60%2C%0A%20%20%60passenger_miles%60%2C%0A%20%20%60passenger_miles_questionable%60%2C%0A%20%20%60directional_route_miles%60%2C%0A%20%20%60directional_route_miles_questionable%60%2C%0A%20%20%60brt_non_statutory_mixed_traffic%60%2C%0A%20%20%60mixed_traffic_right_of_way%60%2C%0A%20%20%60days_of_service_operated%60%2C%0A%20%20%60days_not_operated_strikes%60%2C%0A%20%20%60days_not_operated_emergencies%60%2C%0A%20%20%60average_speed%60%2C%0A%20%20%60average_speed_questionable%60%2C%0A%20%20%60average_passenger_trip_length_aptl_%60%2C%0A%20%20%60aptl_questionable%60%2C%0A%20%20%60passengers_per_hour%60%2C%0A%20%20%60passengers_per_hour_questionable%60%0AORDER%20BY%20%60_5_digit_ntd_id%60%20ASC%20NULL%20LAST/page/filter + + +The difference between route mileage is like, a route to and back, is 20 miles. Whereas the vehicle +mileage is all that is done over a particular time, such as taking the route over and over again, is 300 miles. +"Train Revenue Miles" +if there are only entries for non -train in the other column, +and only entries for train in "Train Revenue Miles", then we can merge them into a single +column called "Revenue Miles". + +if train revenue miles is not zero and the otehr is not zero +why use the train revenue miles for Rail, when sometimes they have a Passenger Revenue Miles thats larger? + +weigh the fare by the number of unlinked passenger trips + +`get_transit_intensities` will help us test on data to see what the fare is for +a particular set of coordinates. + +# 9/24 + +The entries in the json are not differentiated by the mode, +there is an entry for each ntd id but there is redundant data +since the entry is not specific to that mode and TOS + + +There is One to Many routing r5 instead of OpenTripPlanner +(but this may be unnecessary) + +first and foremost i will do the fare function + +outline the proposal of- + +- either combining cost with the intensities because the cost is part of the intensities + line 95 prg metrics/footprint/transit.py- + proposal is to just say intensities['fare'] = my_fare_variable +- OR making a duplicate function (maybe it is repeating ourselves) that just returns the fare according to UACE + +and then i will look to see how i can solve the OTP issue, + + +# 9/27 + +use openmobility to get +historical gtfs because if you check denver +then it seems to only have recent months right now + + +# Fares + +Saved link for MTA New York City Transit: https://new.mta.info/fares +Saved link for MTA New York City Transit: https://new.mta.info/fares +Saved link for New Jersey Transit Corporation: https://www.njtransit.com/fares +Saved link for New Jersey Transit Corporation: https://www.njtransit.com/fares +Saved link for Washington Metropolitan Area Transit Authority: https://www.wmata.com/fares/basic.cfm +^Cjfleisc1@jfleisc1-coolcomp:~/Desktop/nrel/e-mission-common/src/emcommon/metrics/transit$ +jfleisc1@jfleisc1-coolcomp:~/Desktop/nrel/e-mission-common/src/emcommon/metrics/transit$ +jfleisc1@jfleisc1-coolcomp:~/Desktop/nrel/e-mission-common/src/emcommon/metrics/transit$ python fares.py +^Cjfleisc1@jfleisc1-coolcomp:~/Desktop/nrel/e-mission-common/src/emcommon/metrics/transit$ python fares.py +Saved link for Los Angeles County Metropolitan Transportation Authority , dba: Metro: https://www.metro.net/riding/fares/ +Saved link for New Jersey Transit Corporation: https://www.njtransit.com/fares +Saved link for Washington Metropolitan Area Transit Authority: https://www.wmata.com/fares/basic.cfm +Saved link for Los Angeles County Metropolitan Transportation Authority , dba: Metro: https://www.metro.net/riding/fares/ +Saved link for Chicago Transit Authority: https://www.transitchicago.com/fares/ +Saved link for King County Department of Metro Transit, dba: King County Metro: https://kingcounty.gov/en/dept/metro/fares-and-payment/prices +Saved link for Massachusetts Bay Transportation Authority: https://www.mbta.com/fares/bus-fares +Saved link for Southeastern Pennsylvania Transportation Authority: https://wwww.septa.org/fares/ +Saved link for Maryland Transit Administration: https://www.mta.maryland.gov/regular-fares +Saved link for County of Miami-Dade , dba: Transportation & Public Work: https://tokentransit.com/agency/miamidadefl +Saved link for Metropolitan Transit Authority of Harris County, Texas: https://www.ridemetro.org/fares/all-about-fares +Saved link for Metro-North Commuter Railroad Company, dba: MTA Metro-North Railroad: bad +Saved link for MTA Bus Company: https://new.mta.info/fares +Saved link for Utah Transit Authority: https://m.rideuta.com/Fares-And-Passes/Current-Fares +Saved link for Pace - Suburban Bus Division: https://www.pacebus.com/fares +Saved link for Denver Regional Transportation District: https://www.rtd-denver.com/fares-passes/fares +Saved link for VIA Metropolitan Transit: https://www.viainfo.net/rates/ +Saved link for Port Authority of Allegheny County: https://www.rideprt.org/fares-and-passes/fare-information/ +Saved link for Metropolitan Atlanta Rapid Transit Authority: https://itsmarta.com/howtoride.aspx +Saved link for Dallas Area Rapid Transit: https://www.dart.org/fare/general-fares-and-overview/fares +Saved link for Tri-County Metropolitan Transportation District of Oregon: https://trimet.org/fares/index.htm +Saved link for City and County of San Francisco, dba: San Francisco Municipal Transportation Agency: https://www.sfmta.com/getting-around/muni/fares +Saved link for Orange County Transportation Authority: https://www.octa.net/getting-around/bus/oc-bus/fares-and-passes/overview/regular-fares/ +Saved link for San Diego Metropolitan Transit System: https://www.sdmts.com/fares/fare-chart +Saved link for City and County of Honolulu, dba: City & County of Honolulu DTS: https://www.thebus.org/Fare/TheBusFares.asp +Saved link for Regional Public Transportation Authority, dba: Valley Metro: https://www.valleymetro.org/fares/pricing +Saved link for Metropolitan Council: bad +Saved link for Capital Metropolitan Transportation Authority, dba: Capital Metro: https://www.capmetro.org/fares-passes +Saved link for Regional Transportation Commission of Southern Nevada: https://www.rtcsnv.com/ways-to-travel/fares-passes/ +Saved link for Central Florida Regional Transportation Authority: https://www.golynx.com/fares-passes/ +Saved link for Alameda-Contra Costa Transit District: https://www.actransit.org/fares +Saved link for Delaware Transit Corporation: https://www.dartfirststate.com/RiderInfo/Fares/ +Saved link for Central Pennsylvania Transportation Authority: bad +Saved link for Broward County Board of County Commissioners, dba: Broward County Transit Division: https://www.broward.org/BCT/Pages/FaresPasses.aspx +Saved link for Metro Transit: https://www.metrotransit.org/fares +Saved link for City of Phoenix Public Transit Department , dba: Valley Metro: https://www.valleymetro.org/fares/pricing +Saved link for Santa Clara Valley Transportation Authority: https://www.vta.org/go/fares +Saved link for Montachusett Regional Transit Authority: https://www.mrta.us/fare-passes/ +Saved link for Snohomish County Public Transportation Benefit Area Corporation: https://www.communitytransit.org/fares-and-passes +Saved link for Bi-State Development Agency of the Missouri-Illinois Metropolitan District, dba: (St. Louis) Metro: https://www.metrostlouis.org/fares-and-passes/ +Saved link for Regional Transportation Commission of Washoe County: https://rtcwashoe.com/public-transportation/fares-passes/ +Saved link for Fort Worth Transportation Authority, dba: Trinity Metro: https://ridetrinitymetro.org/tickets/ +Saved link for Pierce County Transportation Benefit Area Authority: https://www.piercetransit.org/PT-fares/ +Saved link for The Greater Cleveland Regional Transit Authority: https://www.riderta.com/fares +Saved link for Milwaukee County, dba: Milwaukee County Transit System: https://www.ridemcts.com/fares +Saved link for Sacramento Regional Transit District, dba: Sacramento RT: https://www.sacrt.com/fares/ +Saved link for Westchester County, dba: The Bee-Line System: https://transportation.westchestergov.com/bee-line/fares-and-metrocard +Saved link for Board of County Commissioners, Palm Beach County, dba: Palm Tran, Inc.: https://www.palmtran.org/cash-fare/ +Saved link for Transportation District Commission of Hampton Roads, dba: Hampton Roads Transit: https://gohrt.com/fares/ +Saved link for Capital District Transportation Authority: https://www.cdta.org/cdta-fares +Saved link for Southwest Ohio Regional Transit Authority, dba: Metro / Access: https://www.go-metro.com/fare-information +Saved link for County of Nassau, dba: Nassau Inter County Express: https://www.nicebus.com/Passenger-Information/Fares-Passes +Saved link for San Mateo County Transit District: https://www.samtrans.com/fares +Saved link for Foothill Transit: https://www.foothilltransit.org/fares-and-passes +Saved link for Transit Authority of River City: https://www.ridetarc.org/fare/fare-structure/ +Saved link for Niagara Frontier Transportation Authority: https://metro.nfta.com/fares/fare-info +Saved link for City of Charlotte North Carolina, dba: Charlotte Area Transit System: https://www.charlottenc.gov/CATS/Fares-Passes +Saved link for Rhode Island Public Transit Authority: https://www.ripta.com/fares/ +Saved link for Fairfax County, VA, dba: Fairfax Connector Bus System: https://www.fairfaxcounty.gov/connector/fares-and-policies +Saved link for Spokane Transit Authority: https://www.spokanetransit.com/fares-passes/fares-overview/ +Saved link for Central Ohio Transit Authority: https://www.cota.com/riding-cota/fare-overview/ +Saved link for Pinellas Suncoast Transit Authority: https://www.psta.net/how-to-ride/tickets-and-fares/ +Saved link for Suburban Mobility Authority for Regional Transportation: https://www.smartbus.org/Fares +Saved link for Ben Franklin Transit: https://www.bft.org/fares/fares-information/ +Saved link for City of Tucson: https://www.suntran.com/fares-passes/ +Saved link for Victor Valley Transit Authority: https://vvta.org/fares/ +Saved link for Suffolk County , dba: Dept of Public Works - Transportation Division: https://sctbus.org/System-Information +Saved link for Mass Transportation Authority: https://www.mtaflint.org/fares-passes/ +Saved link for Regional Transit Service - Monroe County, dba: RTS Monroe (MB) and RTS Access (DR): https://www.myrts.com/Monroe/Enjoy-the-Ride-Guide/Fares-and-Passes +Saved link for Metropolitan Transit Authority: bad +Saved link for Greater Richmond Transit Company: https://ridegrtc.com/fares/and-rates/ +Saved link for North County Transit District: https://gonctd.com/fares/fares-passes/ +Saved link for Connecticut Department of Transportation - CTTRANSIT - Hartford Division: https://www.cttransit.com/fares +Saved link for Ann Arbor Area Transportation Authority: https://www.theride.org/fares-passes/fares +Saved link for Kitsap Transit: https://www.kitsaptransit.com/fares/fares +Saved link for Central New York Regional Transportation Authority, dba: New York Regional Transportation Authority: https://new.mta.info/fares +Saved link for Pioneer Valley Transit Authority: https://www.pvta.com/faresPassesBus.php +Saved link for Jacksonville Transportation Authority: https://www.jtafla.com/ride-jta/fares-passes/ +Saved link for Blue Water Area Transportation Commission, dba: Blue Water Area Transit: https://bwbus.com/fares/ diff --git a/src/emcommon/metrics/transit/deprecated_transit.ipynb b/src/emcommon/metrics/transit/deprecated_transit.ipynb new file mode 100644 index 0000000..af33aa1 --- /dev/null +++ b/src/emcommon/metrics/transit/deprecated_transit.ipynb @@ -0,0 +1,259 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# example= {\"adult\": 1.00,\n", + "# \"senior\": 0.50,\n", + "# \"student\": 0.50,\n", + "# \"medicare_medicaid\": 0.50,\n", + "# \"veterans_active_military\": 0.50,\n", + "# \"pass\": {\"duration_hours\": 24, \"cost\": 3.00},\n", + "# \"school_free_fare\": True, # Northern Illinois University (NIU) students ride free with valid NIU OneCard\n", + "# \"live_fare_link\": \"https://www.cityofdekalb.com/430/Bus-Routes-and-Schedules\"}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import os\n", + "from openai import OpenAI\n", + "from pprint import pprint\n", + "\n", + "# Initialize the OpenAI client\n", + "api_key = 'whoknowsthekey?'\n", + "client = OpenAI(api_key=api_key)\n", + "\n", + "# File path for saving the fare data\n", + "output_file = 'fare_data.json'\n", + "\n", + "# Function to load existing fare data if the JSON file exists\n", + "def load_existing_data(file_path):\n", + " if os.path.exists(file_path):\n", + " with open(file_path, 'r') as f:\n", + " return json.load(f)\n", + " return {}\n", + "\n", + "# Function to call OpenAI API and fetch fare data for each agency\n", + "def fetch_fare_data(dba):\n", + " # dba = \"City of Cedar Rapids, dba: Cedar Rapids Transit\"\n", + " prompt = f\"\"\"\n", + " Please format your response as a python dictionary.\n", + "\n", + " Give me the {dba}'s current live link to its Fares about its bus service. \n", + " Do not use the DoT's data, use the {dba}'s own website. \n", + " For example if the adult fare is $0.50 then make \"adult\": 0.50. If the senior fare is free then do \"senior\": 0.00, if it is 0.25 then do \"senior\": 0.25.\n", + " If there is a special extended duration pass, do \"pass\": {{\"duration_hours\": 24, \"cost\": 3.00}} for example.\n", + " if there isnt, do \"pass\": None\n", + " If there is \"medicare_medicaid\", include it. If there is \"veterans_active_military\", include it. \n", + " If there is a special collaboration with a university that gives free fare, say \"school_free_fare\": True, else make it False.\n", + " If there is a \"student\" cost, include it. Also student pass, \"student_pass\": {{\"duration\": \"semester\", \"cost\": 60.00}} for example.\n", + " If there is a link to the live fares, include it as \"live_fare_link\": \"mylinkhere\"\n", + " If there is a rate depending on age that notes specific years, do \"age_discount\": {{\"12-18\": 0.50, \"65+\": 0.50}}, \n", + " or if it is a child boarding with an adult, do \"age_discount\": {{\"with_adult\": 0.00}}, or \"age_discount\": {{\"may_qualify\": True}} if special terms.\n", + "\n", + " Lastly, give me any notes i may want to know, for example, fares suspended due to COVID, with \"notes\": \"your cool notes here\"\n", + " DO NOT INCLUDE FARES RELATING TO PARATRANSIT. BUS ONLY.\n", + " \"\"\"\n", + " \n", + " chat_completion = client.chat.completions.create(\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": prompt,\n", + " }\n", + " ],\n", + " model=\"chatgpt-4o-latest\",\n", + " )\n", + " # print(chat_completion)\n", + " response = eval(chat_completion.choices[0].message.content) # Correct access\n", + " pprint(response)\n", + " return response\n", + "\n", + "# Function to save fare data to a JSON file\n", + "def save_fare_data(file_path, fare_data):\n", + " with open(file_path, 'w') as f:\n", + " json.dump(fare_data, f, indent=4)\n", + "\n", + "# Function to append fare data for a given number of rows\n", + "def append_fare_data(df, num_rows):\n", + " # Load existing fare data\n", + " fare_data = load_existing_data(output_file)\n", + " \n", + " # Find where we left off\n", + " processed_agencies = set(fare_data.keys())\n", + " new_rows = df[~df['Agency'].isin(processed_agencies)].head(num_rows)\n", + "\n", + " # Process each new row\n", + " for index, row in new_rows.iterrows():\n", + " dba = row['Agency']\n", + " \n", + " # Fetch fare data from API\n", + " fare_info = fetch_fare_data(dba)\n", + " \n", + " # Add the fare data to the dictionary\n", + " fare_data[dba] = fare_info\n", + "\n", + " # Save the updated fare data to the JSON file\n", + " save_fare_data(output_file, fare_data)\n", + "\n", + " print(f\"Processed {len(new_rows)} new rows.\")\n", + "\n", + "# Example usage: proceed with the next 6 rows\n", + "# append_fare_data(sorted_df, 4)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import os\n", + "import tkinter as tk\n", + "from tkinter import messagebox\n", + "import pyperclip\n", + "\n", + "# File path for saving the fare data\n", + "output_file = 'fare_data.json'\n", + "\n", + "# Function to load existing fare data if the JSON file exists\n", + "def load_existing_data(file_path):\n", + " if os.path.exists(file_path):\n", + " with open(file_path, 'r') as f:\n", + " return json.load(f)\n", + " return {}\n", + "\n", + "# Function to save fare data to a JSON file\n", + "def save_fare_data(file_path, fare_data):\n", + " with open(file_path, 'w') as f:\n", + " json.dump(fare_data, f, indent=4)\n", + "\n", + "# Function to handle the Copy button click\n", + "def copy_prompt(dba):\n", + " prompt = f\"\"\"\n", + " Please format your response as a python dictionary.\n", + "\n", + " Give me the {dba}'s current live link to its Fares about its bus service. \n", + " Do not use the DoT's data, use the {dba}'s own website. \n", + " For example if the adult fare is $0.50 then make \"adult\": 0.50. If the senior fare is free then do \"senior\": 0.00, if it is 0.25 then do \"senior\": 0.25.\n", + " However, if the pass is a range, such as it costs money depending on how much zones you pass through,\n", + " provide a range of costs, if you are able to.\n", + " If there is a special extended duration pass, do \"pass\": {{\"duration_hours\": 24, \"cost\": 3.00}} for example.\n", + " if there isnt, do \"pass\": None\n", + " If there is \"medicare_medicaid\", include it. If there is \"veterans_active_military\", include it. \n", + " If there is a special collaboration with a university that gives free fare, say \"school_free_fare\": True, else make it False.\n", + " If there is a \"student\" cost, include it. Also student pass, \"student_pass\": {{\"duration\": \"semester\", \"cost\": 60.00}} for example.\n", + " If there is a link to the live fares, include it as \"live_fare_link\": \"mylinkhere\"\n", + " If there is a rate depending on age that notes specific years, do \"age_discount\": {{\"12-18\": 0.50, \"65+\": 0.50}}, \n", + " or if it is a child boarding with an adult, do \"age_discount\": {{\"with_adult\": 0.00}}, or \"age_discount\": {{\"may_qualify\": True}} if special terms.\n", + "\n", + " Lastly, give me any notes i may want to know, for example, fares suspended due to COVID, with \"notes\": \"your cool notes here\"\n", + " and give the copy-pasted data in \"data\": \"your data here\" so i can confirm.\n", + " You are supposed to rip it straight from the webpage for the data field. Copy and paste what you found.\n", + " DO NOT FORGET THE DATA FIELD.\n", + " DO NOT INCLUDE FARES RELATING TO PARATRANSIT. BUS ONLY.\n", + " \"\"\"\n", + " pyperclip.copy(prompt)\n", + " # messagebox.showinfo(\"Copied\", \"Prompt copied to clipboard!\")\n", + "\n", + "# Function to handle the Save button click\n", + "def save_data(dba, text_box, counter_label, current_index, total, window):\n", + " data = text_box.get(\"1.0\", tk.END).strip()\n", + " \n", + " try:\n", + " fare_info = eval(data) # Ensure the data is a valid dictionary\n", + " fare_data = load_existing_data(output_file)\n", + " fare_data[dba] = fare_info\n", + " save_fare_data(output_file, fare_data)\n", + " \n", + " # Update the counter label\n", + " counter_label.config(text=f\"{current_index + 1} / {total} to go\")\n", + " \n", + " # Close the current window to proceed to the next agency\n", + " window.destroy()\n", + " \n", + " except Exception as e:\n", + " messagebox.showerror(\"Error\", f\"Failed to save data: {e}\")\n", + "\n", + "# Function to create the GUI for each DBA\n", + "def show_dba_window(dba, current_index, total):\n", + " window = tk.Tk()\n", + " window.title(f\"Fare Data for {dba}\")\n", + "\n", + " # Display the DBA label\n", + " label = tk.Label(window, text=f\"Current DBA: {dba}\")\n", + " label.pack(pady=10)\n", + "\n", + " # Copy button\n", + " copy_button = tk.Button(window, text=\"Copy Prompt\", command=lambda: copy_prompt(dba))\n", + " copy_button.pack(pady=5)\n", + "\n", + " # Text box for pasting and saving the dictionary\n", + " text_box = tk.Text(window, height=15, width=70)\n", + " text_box.pack(pady=10)\n", + "\n", + " # Counter label showing the current DBA progress\n", + " counter_label = tk.Label(window, text=f\"{current_index + 1} / {total} to go\")\n", + " counter_label.pack(pady=5)\n", + "\n", + " # Save button\n", + " save_button = tk.Button(window, text=\"Save Data\", command=lambda: save_data(dba, text_box, counter_label, current_index, total, window))\n", + " save_button.pack(pady=5)\n", + "\n", + " # Bind Enter key to replicate Save button click\n", + " window.bind('', lambda event: save_data(dba, text_box, counter_label, current_index, total, window))\n", + "\n", + " window.mainloop()\n", + "\n", + "# Function to iterate over the DataFrame and show a window for each DBA\n", + "def process_dbas(df):\n", + " # Load existing fare data\n", + " fare_data = load_existing_data(output_file)\n", + " \n", + " # Filter the rows to process\n", + " new_rows = df[~df['Agency'].isin(fare_data.keys())]\n", + " \n", + " total_rows = len(new_rows)\n", + "\n", + " # Loop through each unprocessed DBA row\n", + " for current_index, (index, row) in enumerate(new_rows.iterrows()):\n", + " dba = row['Agency']\n", + " show_dba_window(dba, current_index, total_rows)\n", + "\n", + "\n", + "# Example usage: start processing all DBAs\n", + "# process_dbas(df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "# Assuming df is already defined\n", + "# Save the DataFrame to a pickle file\n", + "df.to_pickle('ntd.pkl')\n", + "\n" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/emcommon/metrics/transit/fare_data.json b/src/emcommon/metrics/transit/fare_data.json new file mode 100644 index 0000000..52a621f --- /dev/null +++ b/src/emcommon/metrics/transit/fare_data.json @@ -0,0 +1,28 @@ +{ + "MTA New York City Transit": { + "adult": 2.9, + "senior": 1.45, + "student": 0.0, + "age_discount": { + "65+": 1.45, + "with_adult": 0.0 + }, + "pass": { + "duration_hours": null, + "cost": null + }, + "7_day_pass": 34.0, + "30_day_pass": 132.0, + "express_bus_pass": { + "duration_days": 7, + "cost": 64.0 + }, + "medicare_medicaid": null, + "veterans_active_military": null, + "school_free_fare": true, + "student_pass": null, + "live_fare_link": "https://new.mta.info/fares/subways-and-buses", + "notes": "Q70 LaGuardia Link service is fare-free. Fare capping applies for OMNY." + }, + "New Jersey Transit Corporation": "No" +} \ No newline at end of file diff --git a/src/emcommon/metrics/transit/fare_link.json b/src/emcommon/metrics/transit/fare_link.json new file mode 100644 index 0000000..3dfcc4c --- /dev/null +++ b/src/emcommon/metrics/transit/fare_link.json @@ -0,0 +1,239 @@ +{ + "MTA New York City Transit": { + "fare_link": "https://new.mta.info/fares" + }, + "New Jersey Transit Corporation": { + "fare_link": "https://www.njtransit.com/fares" + }, + "Washington Metropolitan Area Transit Authority": { + "fare_link": "https://www.wmata.com/fares/basic.cfm" + }, + "Los Angeles County Metropolitan Transportation Authority , dba: Metro": { + "fare_link": "https://www.metro.net/riding/fares/" + }, + "Chicago Transit Authority": { + "fare_link": "https://www.transitchicago.com/fares/" + }, + "King County Department of Metro Transit, dba: King County Metro": { + "fare_link": "https://kingcounty.gov/en/dept/metro/fares-and-payment/prices" + }, + "Massachusetts Bay Transportation Authority": { + "fare_link": "https://www.mbta.com/fares/bus-fares" + }, + "Southeastern Pennsylvania Transportation Authority": { + "fare_link": "https://wwww.septa.org/fares/" + }, + "Maryland Transit Administration": { + "fare_link": "https://www.mta.maryland.gov/regular-fares" + }, + "County of Miami-Dade , dba: Transportation & Public Work": { + "fare_link": "https://tokentransit.com/agency/miamidadefl" + }, + "Metropolitan Transit Authority of Harris County, Texas": { + "fare_link": "https://www.ridemetro.org/fares/all-about-fares" + }, + "Metro-North Commuter Railroad Company, dba: MTA Metro-North Railroad": { + "fare_link": "bad" + }, + "MTA Bus Company": { + "fare_link": "https://new.mta.info/fares" + }, + "Utah Transit Authority": { + "fare_link": "https://m.rideuta.com/Fares-And-Passes/Current-Fares" + }, + "Pace - Suburban Bus Division": { + "fare_link": "https://www.pacebus.com/fares" + }, + "Denver Regional Transportation District": { + "fare_link": "https://www.rtd-denver.com/fares-passes/fares" + }, + "VIA Metropolitan Transit": { + "fare_link": "https://www.viainfo.net/rates/" + }, + "Port Authority of Allegheny County": { + "fare_link": "https://www.rideprt.org/fares-and-passes/fare-information/" + }, + "Metropolitan Atlanta Rapid Transit Authority": { + "fare_link": "https://itsmarta.com/howtoride.aspx" + }, + "Dallas Area Rapid Transit": { + "fare_link": "https://www.dart.org/fare/general-fares-and-overview/fares" + }, + "Tri-County Metropolitan Transportation District of Oregon": { + "fare_link": "https://trimet.org/fares/index.htm" + }, + "City and County of San Francisco, dba: San Francisco Municipal Transportation Agency": { + "fare_link": "https://www.sfmta.com/getting-around/muni/fares" + }, + "Orange County Transportation Authority": { + "fare_link": "https://www.octa.net/getting-around/bus/oc-bus/fares-and-passes/overview/regular-fares/" + }, + "San Diego Metropolitan Transit System": { + "fare_link": "https://www.sdmts.com/fares/fare-chart" + }, + "City and County of Honolulu, dba: City & County of Honolulu DTS": { + "fare_link": "https://www.thebus.org/Fare/TheBusFares.asp" + }, + "Regional Public Transportation Authority, dba: Valley Metro": { + "fare_link": "https://www.valleymetro.org/fares/pricing" + }, + "Metropolitan Council": { + "fare_link": "bad" + }, + "Capital Metropolitan Transportation Authority, dba: Capital Metro": { + "fare_link": "https://www.capmetro.org/fares-passes" + }, + "Regional Transportation Commission of Southern Nevada": { + "fare_link": "https://www.rtcsnv.com/ways-to-travel/fares-passes/" + }, + "Central Florida Regional Transportation Authority": { + "fare_link": "https://www.golynx.com/fares-passes/" + }, + "Alameda-Contra Costa Transit District": { + "fare_link": "https://www.actransit.org/fares" + }, + "Delaware Transit Corporation": { + "fare_link": "https://www.dartfirststate.com/RiderInfo/Fares/" + }, + "Central Pennsylvania Transportation Authority": { + "fare_link": "bad" + }, + "Broward County Board of County Commissioners, dba: Broward County Transit Division": { + "fare_link": "https://www.broward.org/BCT/Pages/FaresPasses.aspx" + }, + "Metro Transit": { + "fare_link": "https://www.metrotransit.org/fares" + }, + "City of Phoenix Public Transit Department , dba: Valley Metro": { + "fare_link": "https://www.valleymetro.org/fares/pricing" + }, + "Santa Clara Valley Transportation Authority": { + "fare_link": "https://www.vta.org/go/fares" + }, + "Montachusett Regional Transit Authority": { + "fare_link": "https://www.mrta.us/fare-passes/" + }, + "Snohomish County Public Transportation Benefit Area Corporation": { + "fare_link": "https://www.communitytransit.org/fares-and-passes" + }, + "Bi-State Development Agency of the Missouri-Illinois Metropolitan District, dba: (St. Louis) Metro": { + "fare_link": "https://www.metrostlouis.org/fares-and-passes/" + }, + "Regional Transportation Commission of Washoe County": { + "fare_link": "https://rtcwashoe.com/public-transportation/fares-passes/" + }, + "Fort Worth Transportation Authority, dba: Trinity Metro": { + "fare_link": "https://ridetrinitymetro.org/tickets/" + }, + "Pierce County Transportation Benefit Area Authority": { + "fare_link": "https://www.piercetransit.org/PT-fares/" + }, + "The Greater Cleveland Regional Transit Authority": { + "fare_link": "https://www.riderta.com/fares" + }, + "Milwaukee County, dba: Milwaukee County Transit System": { + "fare_link": "https://www.ridemcts.com/fares" + }, + "Sacramento Regional Transit District, dba: Sacramento RT": { + "fare_link": "https://www.sacrt.com/fares/" + }, + "Westchester County, dba: The Bee-Line System": { + "fare_link": "https://transportation.westchestergov.com/bee-line/fares-and-metrocard" + }, + "Board of County Commissioners, Palm Beach County, dba: Palm Tran, Inc.": { + "fare_link": "https://www.palmtran.org/cash-fare/" + }, + "Transportation District Commission of Hampton Roads, dba: Hampton Roads Transit": { + "fare_link": "https://gohrt.com/fares/" + }, + "Capital District Transportation Authority": { + "fare_link": "https://www.cdta.org/cdta-fares" + }, + "Southwest Ohio Regional Transit Authority, dba: Metro / Access": { + "fare_link": "https://www.go-metro.com/fare-information" + }, + "County of Nassau, dba: Nassau Inter County Express": { + "fare_link": "https://www.nicebus.com/Passenger-Information/Fares-Passes" + }, + "San Mateo County Transit District": { + "fare_link": "https://www.samtrans.com/fares" + }, + "Foothill Transit": { + "fare_link": "https://www.foothilltransit.org/fares-and-passes" + }, + "Transit Authority of River City": { + "fare_link": "https://www.ridetarc.org/fare/fare-structure/" + }, + "Niagara Frontier Transportation Authority": { + "fare_link": "https://metro.nfta.com/fares/fare-info" + }, + "City of Charlotte North Carolina, dba: Charlotte Area Transit System": { + "fare_link": "https://www.charlottenc.gov/CATS/Fares-Passes" + }, + "Rhode Island Public Transit Authority": { + "fare_link": "https://www.ripta.com/fares/" + }, + "Fairfax County, VA, dba: Fairfax Connector Bus System": { + "fare_link": "https://www.fairfaxcounty.gov/connector/fares-and-policies" + }, + "Spokane Transit Authority": { + "fare_link": "https://www.spokanetransit.com/fares-passes/fares-overview/" + }, + "Central Ohio Transit Authority": { + "fare_link": "https://www.cota.com/riding-cota/fare-overview/" + }, + "Pinellas Suncoast Transit Authority": { + "fare_link": "https://www.psta.net/how-to-ride/tickets-and-fares/" + }, + "Suburban Mobility Authority for Regional Transportation": { + "fare_link": "https://www.smartbus.org/Fares" + }, + "Ben Franklin Transit": { + "fare_link": "https://www.bft.org/fares/fares-information/" + }, + "City of Tucson": { + "fare_link": "https://www.suntran.com/fares-passes/" + }, + "Victor Valley Transit Authority": { + "fare_link": "https://vvta.org/fares/" + }, + "Suffolk County , dba: Dept of Public Works - Transportation Division": { + "fare_link": "https://sctbus.org/System-Information" + }, + "Mass Transportation Authority": { + "fare_link": "https://www.mtaflint.org/fares-passes/" + }, + "Regional Transit Service - Monroe County, dba: RTS Monroe (MB) and RTS Access (DR)": { + "fare_link": "https://www.myrts.com/Monroe/Enjoy-the-Ride-Guide/Fares-and-Passes" + }, + "Metropolitan Transit Authority": { + "fare_link": "bad" + }, + "Greater Richmond Transit Company": { + "fare_link": "https://ridegrtc.com/fares/and-rates/" + }, + "North County Transit District": { + "fare_link": "https://gonctd.com/fares/fares-passes/" + }, + "Connecticut Department of Transportation - CTTRANSIT - Hartford Division": { + "fare_link": "https://www.cttransit.com/fares" + }, + "Ann Arbor Area Transportation Authority": { + "fare_link": "https://www.theride.org/fares-passes/fares" + }, + "Kitsap Transit": { + "fare_link": "https://www.kitsaptransit.com/fares/fares" + }, + "Central New York Regional Transportation Authority, dba: New York Regional Transportation Authority": { + "fare_link": "https://new.mta.info/fares" + }, + "Pioneer Valley Transit Authority": { + "fare_link": "https://www.pvta.com/faresPassesBus.php" + }, + "Jacksonville Transportation Authority": { + "fare_link": "https://www.jtafla.com/ride-jta/fares-passes/" + }, + "Blue Water Area Transportation Commission, dba: Blue Water Area Transit": { + "fare_link": "https://bwbus.com/fares/" + } +} \ No newline at end of file diff --git a/src/emcommon/metrics/transit/fares.py b/src/emcommon/metrics/transit/fares.py new file mode 100644 index 0000000..902107f --- /dev/null +++ b/src/emcommon/metrics/transit/fares.py @@ -0,0 +1,78 @@ +import json +import os +import tkinter as tk +from tkinter import messagebox +import pandas as pd +import pyperclip +import webbrowser + +# File path for saving the fare data +output_file = 'fare_link.json' + +# Function to load existing fare data if the JSON file exists and is valid +def load_existing_data(file_path): + if os.path.exists(file_path): + try: + with open(file_path, 'r') as f: + data = json.load(f) + if isinstance(data, dict): + return data + else: + return {} # If data is not a valid dictionary, return empty dict + except (json.JSONDecodeError, ValueError): + return {} # If there's a decoding error, return an empty dict + return {} + +# Function to save fare data to a JSON file +def save_fare_data(file_path, fare_data): + with open(file_path, 'w') as f: + json.dump(fare_data, f, indent=4) + +# Function to handle clipboard data capture +def capture_clipboard(dba, current_index, total, root): + clipboard_content = pyperclip.paste().strip() + fare_data = load_existing_data(output_file) + fare_data[dba] = {"fare_link": clipboard_content} + save_fare_data(output_file, fare_data) + print(f"Saved link for {dba}: {clipboard_content}") + + # Proceed to next DBA or finish if done + if current_index < total - 1: + root.destroy() # Close the current window to move to the next + next_dba(current_index + 1, total, df) + else: + messagebox.showinfo("Done", "All DBAs processed!") + root.destroy() + +# Function to trigger web search and clipboard capture +def search_fare(dba, current_index, total, root): + webbrowser.open(f"https://www.google.com/search?q={dba}+bus+fare") + messagebox.showinfo("Next Step", f"Search results for {dba} opened. Copy the link, then press 'OK' to save it.") + + # After clicking OK, capture clipboard content + capture_clipboard(dba, current_index, total, root) + +# Function to iterate DBAs and process each one +def next_dba(current_index, total, df): + dba = df.iloc[current_index]['Agency'] # Get 'Agency' from DataFrame + # Create a new tkinter window for each DBA + root = tk.Tk() + root.withdraw() # Hide the main window + search_fare(dba, current_index, total, root) + +# Main function to initiate processing, skipping agencies already in JSON +def process_dbas(df): + fare_data = load_existing_data(output_file) + df = df[~df['Agency'].isin(fare_data.keys())] # Remove agencies already in JSON + total_rows = len(df) + if total_rows == 0: + messagebox.showinfo("Done", "All agencies have been processed!") + else: + next_dba(0, total_rows, df) + +# Load the DataFrame from the pickle file +df = pd.read_pickle('ntd.pkl') +df = df.drop_duplicates(subset='Agency') + +# Start processing the DBAs +process_dbas(df) diff --git a/src/emcommon/metrics/transit/transit.ipynb b/src/emcommon/metrics/transit/transit.ipynb index ef11b9a..06d0c64 100644 --- a/src/emcommon/metrics/transit/transit.ipynb +++ b/src/emcommon/metrics/transit/transit.ipynb @@ -2411,7 +2411,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -2849,7 +2849,7 @@ "[3687 rows x 39 columns]" ] }, - "execution_count": 10, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -2861,7 +2861,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -3101,7 +3101,7 @@ "[6086 rows x 11 columns]" ] }, - "execution_count": 11, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -3113,16 +3113,1399 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Duplicates found in fares DataFrame based on NTD ID, Mode, and TOS:\n", + "Duplicates found in fares DataFrame based on NTD ID, Mode, and TOS:\n" + ] + }, + { + "data": { + "text/html": [ + "
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AgencyCityStateNTD IDOrganization TypeReporter TypeReport YearUACE CodeUZA NamePrimary UZA Population...Total Operating ExpensesTotal Operating Expenses QuestionableUnlinked Passenger TripsUnlinked Passenger Trips QuestionableVehicle Revenue HoursVehicle Revenue Hours QuestionablePassenger MilesPassenger Miles QuestionableVehicle Revenue MilesVehicle Revenue Miles Questionable
1315Advance Transit, Inc. NHWhite River JunctionVT10137Private-Non-Profit CorporationRural Reporter2022NaNNaNNaN...1129207NaN74645NaN10142NaN0NaN162176NaN
1321Advance Transit, Inc. NHWhite River JunctionVT10137Private-Non-Profit CorporationRural Reporter2022NaNNaNNaN...87314NaN1087NaN853NaN0NaN10013NaN
1357Southern Teton Area Rapid TransitJacksonWY80188Independent Public Agency or Authority of Tran...Rural Reporter2022NaNNaNNaN...683702NaN80622NaN14465NaN0NaN125658NaN
1381Southern Teton Area Rapid TransitJacksonWY80188Independent Public Agency or Authority of Tran...Rural Reporter2022NaNNaNNaN...4491772NaN616245NaN40697NaN0NaN791924NaN
3683Advance Transit, Inc. NHWhite River JunctionVT10137Private-Non-Profit CorporationRural Reporter2022NaNNaNNaN...311290NaN4451NaN3130NaN0NaN35490NaN
3684Southern Teton Area Rapid TransitJacksonWY80188Independent Public Agency or Authority of Tran...Rural Reporter2022NaNNaNNaN...427845NaN22118NaN2014NaN0NaN62397NaN
3685Advance Transit, Inc. NHWhite River JunctionVT10137Private-Non-Profit CorporationRural Reporter2022NaNNaNNaN...3222760NaN332062NaN29240NaN0NaN364030NaN
3686Southern Teton Area Rapid TransitJacksonWY80188Independent Public Agency or Authority of Tran...Rural Reporter2022NaNNaNNaN...0NaN0NaN0NaN0NaN0NaN
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8 rows × 39 columns

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" + ], + "text/plain": [ + " Agency City State NTD ID \\\n", + "1315 Advance Transit, Inc. NH White River Junction VT 10137 \n", + "1321 Advance Transit, Inc. NH White River Junction VT 10137 \n", + "1357 Southern Teton Area Rapid Transit Jackson WY 80188 \n", + "1381 Southern Teton Area Rapid Transit Jackson WY 80188 \n", + "3683 Advance Transit, Inc. NH White River Junction VT 10137 \n", + "3684 Southern Teton Area Rapid Transit Jackson WY 80188 \n", + "3685 Advance Transit, Inc. NH White River Junction VT 10137 \n", + "3686 Southern Teton Area Rapid Transit Jackson WY 80188 \n", + "\n", + " Organization Type Reporter Type \\\n", + "1315 Private-Non-Profit Corporation Rural Reporter \n", + "1321 Private-Non-Profit Corporation Rural Reporter \n", + "1357 Independent Public Agency or Authority of Tran... Rural Reporter \n", + "1381 Independent Public Agency or Authority of Tran... Rural Reporter \n", + "3683 Private-Non-Profit Corporation Rural Reporter \n", + "3684 Independent Public Agency or Authority of Tran... Rural Reporter \n", + "3685 Private-Non-Profit Corporation Rural Reporter \n", + "3686 Independent Public Agency or Authority of Tran... Rural Reporter \n", + "\n", + " Report Year UACE Code UZA Name Primary UZA Population ... \\\n", + "1315 2022 NaN NaN NaN ... \n", + "1321 2022 NaN NaN NaN ... \n", + "1357 2022 NaN NaN NaN ... \n", + "1381 2022 NaN NaN NaN ... \n", + "3683 2022 NaN NaN NaN ... \n", + "3684 2022 NaN NaN NaN ... \n", + "3685 2022 NaN NaN NaN ... \n", + "3686 2022 NaN NaN NaN ... \n", + "\n", + " Total Operating Expenses Total Operating Expenses Questionable \\\n", + "1315 1129207 NaN \n", + "1321 87314 NaN \n", + "1357 683702 NaN \n", + "1381 4491772 NaN \n", + "3683 311290 NaN \n", + "3684 427845 NaN \n", + "3685 3222760 NaN \n", + "3686 0 NaN \n", + "\n", + " Unlinked Passenger Trips Unlinked Passenger Trips Questionable \\\n", + "1315 74645 NaN \n", + "1321 1087 NaN \n", + "1357 80622 NaN \n", + "1381 616245 NaN \n", + "3683 4451 NaN \n", + "3684 22118 NaN \n", + "3685 332062 NaN \n", + "3686 0 NaN \n", + "\n", + " Vehicle Revenue Hours Vehicle Revenue Hours Questionable \\\n", + "1315 10142 NaN \n", + "1321 853 NaN \n", + "1357 14465 NaN \n", + "1381 40697 NaN \n", + "3683 3130 NaN \n", + "3684 2014 NaN \n", + "3685 29240 NaN \n", + "3686 0 NaN \n", + "\n", + " Passenger Miles Passenger Miles Questionable Vehicle Revenue Miles \\\n", + "1315 0 NaN 162176 \n", + "1321 0 NaN 10013 \n", + "1357 0 NaN 125658 \n", + "1381 0 NaN 791924 \n", + "3683 0 NaN 35490 \n", + "3684 0 NaN 62397 \n", + "3685 0 NaN 364030 \n", + "3686 0 NaN 0 \n", + "\n", + " Vehicle Revenue Miles Questionable \n", + "1315 NaN \n", + "1321 NaN \n", + "1357 NaN \n", + "1381 NaN \n", + "3683 NaN \n", + "3684 NaN \n", + "3685 NaN \n", + "3686 NaN \n", + "\n", + "[8 rows x 39 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Dropped rows in fares DataFrame where 'Agency VOMS' is 0\n", - "Duplicates found in revenue DataFrame based on NTD ID, Mode, and TOS:\n", + "Duplicates found in revenue DataFrame based on NTD ID, Mode, and TOS:\n" + ] + }, + { + "data": { + "text/html": [ + "
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State/Parent NTD IDNTD IDAgency NameReporter TypeReporting ModuleModeTOSExpense TypePassenger Paid FaresOrganization Paid FaresTotal Fares
19NaN4Confederated Tribes of the Colville Indian Res...Reduced ReporterTribeFBDOFunds Expended on Capital0.00.00
20NaN4Confederated Tribes of the Colville Indian Res...Reduced ReporterTribeFBDOFunds Expended on Operations0.00.00
21NaN4Confederated Tribes of the Colville Indian Res...Reduced ReporterTribeMBDOFunds Expended on Capital0.00.00
22NaN4Confederated Tribes of the Colville Indian Res...Reduced ReporterTribeMBDOFunds Expended on Operations0.00.00
40NaN9Kalispel Tribe of IndiansReduced ReporterTribeMBDOFunds Expended on CapitalNaNNaN0
41NaN9Kalispel Tribe of IndiansReduced ReporterTribeMBDOFunds Expended on OperationsNaNNaN0
42NaN10Klamath TribesReduced ReporterTribeCBDOFunds Expended on Capital0.00.00
43NaN10Klamath TribesReduced ReporterTribeCBDOFunds Expended on Operations0.00.00
44NaN10Klamath TribesReduced ReporterTribeDRDOFunds Expended on Capital0.00.00
45NaN10Klamath TribesReduced ReporterTribeDRDOFunds Expended on Operations0.00.00
51NaN14Sitka Tribe of AlaskaReduced ReporterTribeMBDOFunds Expended on CapitalNaNNaN0
52NaN14Sitka Tribe of AlaskaReduced ReporterTribeMBDOFunds Expended on Operations36890.0NaN36890
53NaN15Snoqualmie Indian TribeReduced ReporterTribeDRDOFunds Expended on CapitalNaNNaN0
54NaN15Snoqualmie Indian TribeReduced ReporterTribeDRDOFunds Expended on OperationsNaNNaN0
58NaN17Stillaguamish Tribe of IndiansReduced ReporterTribeDRDOFunds Expended on CapitalNaNNaN0
59NaN17Stillaguamish Tribe of IndiansReduced ReporterTribeDRDOFunds Expended on Operations0.00.00
76NaN22City of PocatelloReduced ReporterUrbanDRDOFunds Expended on Capital0.00.00
77NaN22City of PocatelloReduced ReporterUrbanDRDOFunds Expended on Operations37121.0340277.0377398
78NaN22City of PocatelloReduced ReporterUrbanMBDOFunds Expended on Capital0.00.00
79NaN22City of PocatelloReduced ReporterUrbanMBDOFunds Expended on Operations67809.076070.0143879
94NaN30Chickaloon Native VillageReduced ReporterTribeDRDOFunds Expended on Capital0.00.00
95NaN30Chickaloon Native VillageReduced ReporterTribeDRDOFunds Expended on Operations2325.00.02325
96NaN31Shoshone-Bannock TribesReduced ReporterTribeMBDOFunds Expended on Capital0.00.00
97NaN31Shoshone-Bannock TribesReduced ReporterTribeMBDOFunds Expended on Operations0.00.00
980R0333Senior Services of Snohomish CountyRural ReporterRuralDRDOFunds Expended on CapitalNaNNaN0
990R0333Senior Services of Snohomish CountyRural ReporterRuralDRDOFunds Expended on Operations16941.00.016941
103NaN36Makah Tribal CouncilReduced ReporterTribeMBDOFunds Expended on CapitalNaNNaN0
104NaN36Makah Tribal CouncilReduced ReporterTribeMBDOFunds Expended on Operations142.0NaN142
118NaN45Fairbanks North Star BoroughReduced ReporterUrbanDRDOFunds Expended on Capital0.0NaN0
119NaN45Fairbanks North Star BoroughReduced ReporterUrbanDRDOFunds Expended on Operations160.0NaN160
120NaN45Fairbanks North Star BoroughReduced ReporterUrbanMBDOFunds Expended on Capital0.0NaN0
121NaN45Fairbanks North Star BoroughReduced ReporterUrbanMBDOFunds Expended on Operations2020.0NaN2020
124NaN47City of CorvallisReduced ReporterUrbanMBPTFunds Expended on CapitalNaNNaN0
125NaN47City of CorvallisReduced ReporterUrbanMBPTFunds Expended on OperationsNaN89022.089022
126NaN48City of LewistonReduced ReporterUrbanDRDOFunds Expended on CapitalNaNNaN0
127NaN48City of LewistonReduced ReporterUrbanDRDOFunds Expended on Operations9830.0NaN9830
128NaN48City of LewistonReduced ReporterUrbanMBDOFunds Expended on CapitalNaNNaN0
129NaN48City of LewistonReduced ReporterUrbanMBDOFunds Expended on Operations26713.0NaN26713
130NaN51Asotin CountyReduced ReporterUrbanDRDOFunds Expended on CapitalNaNNaN0
131NaN51Asotin CountyReduced ReporterUrbanDRDOFunds Expended on Operations6750.0NaN6750
132NaN51Asotin CountyReduced ReporterUrbanMBDOFunds Expended on CapitalNaNNaN0
133NaN51Asotin CountyReduced ReporterUrbanMBDOFunds Expended on Operations19539.0NaN19539
134NaN51Asotin CountyReduced ReporterUrbanVPDOFunds Expended on CapitalNaNNaN0
135NaN51Asotin CountyReduced ReporterUrbanVPDOFunds Expended on Operations55456.0NaN55456
136NaN53Coeur d'Alene TribeReduced ReporterTribeDRDOFunds Expended on Capital0.00.00
137NaN53Coeur d'Alene TribeReduced ReporterTribeDRDOFunds Expended on Operations0.00.00
138NaN53Coeur d'Alene TribeReduced ReporterTribeMBDOFunds Expended on Capital0.00.00
139NaN53Coeur d'Alene TribeReduced ReporterTribeMBDOFunds Expended on Operations0.00.00
140NaN55Kootenai CountyReduced ReporterUrbanDRPTFunds Expended on Capital0.00.00
141NaN55Kootenai CountyReduced ReporterUrbanDRPTFunds Expended on Operations0.00.00
149NaN59Josephine CountyReduced ReporterUrbanCBDOFunds Expended on CapitalNaNNaN0
150NaN59Josephine CountyReduced ReporterUrbanCBDOFunds Expended on Operations20278.0NaN20278
151NaN59Josephine CountyReduced ReporterUrbanDRDOFunds Expended on CapitalNaNNaN0
152NaN59Josephine CountyReduced ReporterUrbanDRDOFunds Expended on Operations24551.0NaN24551
153NaN59Josephine CountyReduced ReporterUrbanMBDOFunds Expended on CapitalNaNNaN0
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Reduced Reporter \n", + "20 Confederated Tribes of the Colville Indian Res... Reduced Reporter \n", + "21 Confederated Tribes of the Colville Indian Res... Reduced Reporter \n", + "22 Confederated Tribes of the Colville Indian Res... Reduced Reporter \n", + "40 Kalispel Tribe of Indians Reduced Reporter \n", + "41 Kalispel Tribe of Indians Reduced Reporter \n", + "42 Klamath Tribes Reduced Reporter \n", + "43 Klamath Tribes Reduced Reporter \n", + "44 Klamath Tribes Reduced Reporter \n", + "45 Klamath Tribes Reduced Reporter \n", + "51 Sitka Tribe of Alaska Reduced Reporter \n", + "52 Sitka Tribe of Alaska Reduced Reporter \n", + "53 Snoqualmie Indian Tribe Reduced Reporter \n", + "54 Snoqualmie Indian Tribe Reduced Reporter \n", + "58 Stillaguamish Tribe of Indians Reduced Reporter \n", + "59 Stillaguamish Tribe of Indians Reduced Reporter \n", + "76 City of Pocatello Reduced Reporter \n", + "77 City of Pocatello Reduced Reporter \n", + "78 City of Pocatello Reduced Reporter \n", + "79 City of Pocatello Reduced Reporter \n", + "94 Chickaloon Native Village Reduced Reporter \n", + "95 Chickaloon Native Village Reduced Reporter \n", + "96 Shoshone-Bannock Tribes Reduced Reporter \n", + "97 Shoshone-Bannock Tribes Reduced Reporter \n", + "98 Senior Services of Snohomish County Rural Reporter \n", + "99 Senior Services of Snohomish County Rural Reporter \n", + "103 Makah Tribal Council Reduced Reporter \n", + "104 Makah Tribal Council Reduced Reporter \n", + "118 Fairbanks North Star Borough Reduced Reporter \n", + "119 Fairbanks North Star Borough Reduced Reporter \n", + "120 Fairbanks North Star Borough Reduced Reporter \n", + "121 Fairbanks North Star Borough Reduced Reporter \n", + "124 City of Corvallis Reduced Reporter \n", + "125 City of Corvallis Reduced Reporter \n", + "126 City of Lewiston Reduced Reporter \n", + "127 City of Lewiston Reduced Reporter \n", + "128 City of Lewiston Reduced Reporter \n", + "129 City of Lewiston Reduced Reporter \n", + "130 Asotin County Reduced Reporter \n", + "131 Asotin County Reduced Reporter \n", + "132 Asotin County Reduced Reporter \n", + "133 Asotin County Reduced Reporter \n", + "134 Asotin County Reduced Reporter \n", + "135 Asotin County Reduced Reporter \n", + "136 Coeur d'Alene Tribe Reduced Reporter \n", + "137 Coeur d'Alene Tribe Reduced Reporter \n", + "138 Coeur d'Alene Tribe Reduced Reporter \n", + "139 Coeur d'Alene Tribe Reduced Reporter \n", + "140 Kootenai County Reduced Reporter \n", + "141 Kootenai County Reduced Reporter \n", + "149 Josephine County Reduced Reporter \n", + "150 Josephine County Reduced Reporter \n", + "151 Josephine County Reduced Reporter \n", + "152 Josephine County Reduced Reporter \n", + "153 Josephine County Reduced Reporter \n", + "\n", + " Reporting Module Mode TOS Expense Type \\\n", + "19 Tribe FB DO Funds Expended on Capital \n", + "20 Tribe FB DO Funds Expended on Operations \n", + "21 Tribe MB DO Funds Expended on Capital \n", + "22 Tribe MB DO Funds Expended on Operations \n", + "40 Tribe MB DO Funds Expended on Capital \n", + "41 Tribe MB DO Funds Expended on Operations \n", + "42 Tribe CB DO Funds Expended on Capital \n", + "43 Tribe CB DO Funds Expended on Operations \n", + "44 Tribe DR DO Funds Expended on Capital \n", + "45 Tribe DR DO Funds Expended on Operations \n", + "51 Tribe MB DO Funds Expended on Capital \n", + "52 Tribe MB DO Funds Expended on Operations \n", + "53 Tribe DR DO Funds Expended on Capital \n", + "54 Tribe DR DO Funds Expended on Operations \n", + "58 Tribe DR DO Funds Expended on Capital \n", + "59 Tribe DR DO Funds Expended on Operations \n", + "76 Urban DR DO Funds Expended on Capital \n", + "77 Urban DR DO Funds Expended on Operations \n", + "78 Urban MB DO Funds Expended on Capital \n", + "79 Urban MB DO Funds Expended on Operations \n", + "94 Tribe DR DO Funds Expended on Capital \n", + "95 Tribe DR DO Funds Expended on Operations \n", + "96 Tribe MB DO Funds Expended on Capital \n", + "97 Tribe MB DO Funds Expended on Operations \n", + "98 Rural DR DO Funds Expended on Capital \n", + "99 Rural DR DO Funds Expended on Operations \n", + "103 Tribe MB DO Funds Expended on Capital \n", + "104 Tribe MB DO Funds Expended on Operations \n", + "118 Urban DR DO Funds Expended on Capital \n", + "119 Urban DR DO Funds Expended on Operations \n", + "120 Urban MB DO Funds Expended on Capital \n", + "121 Urban MB DO Funds Expended on Operations \n", + "124 Urban MB PT Funds Expended on Capital \n", + "125 Urban MB PT Funds Expended on Operations \n", + "126 Urban DR DO Funds Expended on Capital \n", + "127 Urban DR DO Funds Expended on Operations \n", + "128 Urban MB DO Funds Expended on Capital \n", + "129 Urban MB DO Funds Expended on Operations \n", + "130 Urban DR DO Funds Expended on Capital \n", + "131 Urban DR DO Funds Expended on Operations \n", + "132 Urban MB DO Funds Expended on Capital \n", + "133 Urban MB DO Funds Expended on Operations \n", + "134 Urban VP DO Funds Expended on Capital \n", + "135 Urban VP DO Funds Expended on Operations \n", + "136 Tribe DR DO Funds Expended on Capital \n", + "137 Tribe DR DO Funds Expended on Operations \n", + "138 Tribe MB DO Funds Expended on Capital \n", + "139 Tribe MB DO Funds Expended on Operations \n", + "140 Urban DR PT Funds Expended on Capital \n", + "141 Urban DR PT Funds Expended on Operations \n", + "149 Urban CB DO Funds Expended on Capital \n", + "150 Urban CB DO Funds Expended on Operations \n", + "151 Urban DR DO Funds Expended on Capital \n", + "152 Urban DR DO Funds Expended on Operations \n", + "153 Urban MB DO Funds Expended on Capital \n", + "\n", + " Passenger Paid Fares Organization Paid Fares Total Fares \n", + "19 0.0 0.0 0 \n", + "20 0.0 0.0 0 \n", + "21 0.0 0.0 0 \n", + "22 0.0 0.0 0 \n", + "40 NaN NaN 0 \n", + "41 NaN NaN 0 \n", + "42 0.0 0.0 0 \n", + "43 0.0 0.0 0 \n", + "44 0.0 0.0 0 \n", + "45 0.0 0.0 0 \n", + "51 NaN NaN 0 \n", + "52 36890.0 NaN 36890 \n", + "53 NaN NaN 0 \n", + "54 NaN NaN 0 \n", + "58 NaN NaN 0 \n", + "59 0.0 0.0 0 \n", + "76 0.0 0.0 0 \n", + "77 37121.0 340277.0 377398 \n", + "78 0.0 0.0 0 \n", + "79 67809.0 76070.0 143879 \n", + "94 0.0 0.0 0 \n", + "95 2325.0 0.0 2325 \n", + "96 0.0 0.0 0 \n", + "97 0.0 0.0 0 \n", + "98 NaN NaN 0 \n", + "99 16941.0 0.0 16941 \n", + "103 NaN NaN 0 \n", + "104 142.0 NaN 142 \n", + "118 0.0 NaN 0 \n", + "119 160.0 NaN 160 \n", + "120 0.0 NaN 0 \n", + "121 2020.0 NaN 2020 \n", + "124 NaN NaN 0 \n", + "125 NaN 89022.0 89022 \n", + "126 NaN NaN 0 \n", + "127 9830.0 NaN 9830 \n", + "128 NaN NaN 0 \n", + "129 26713.0 NaN 26713 \n", + "130 NaN NaN 0 \n", + "131 6750.0 NaN 6750 \n", + "132 NaN NaN 0 \n", + "133 19539.0 NaN 19539 \n", + "134 NaN NaN 0 \n", + "135 55456.0 NaN 55456 \n", + "136 0.0 0.0 0 \n", + "137 0.0 0.0 0 \n", + "138 0.0 0.0 0 \n", + "139 0.0 0.0 0 \n", + "140 0.0 0.0 0 \n", + "141 0.0 0.0 0 \n", + "149 NaN NaN 0 \n", + "150 20278.0 NaN 20278 \n", + "151 NaN NaN 0 \n", + "152 24551.0 NaN 24551 \n", + "153 NaN NaN 0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Dropped rows in revenue DataFrame where 'Total Fares' is 0\n" ] }, @@ -3368,7 +4751,7 @@ "fares_duplicates = fares[fares.duplicated(subset=['NTD ID', 'Mode', 'TOS'], keep=False)]\n", "if not fares_duplicates.empty:\n", " print(\"Duplicates found in fares DataFrame based on NTD ID, Mode, and TOS:\")\n", - " # display(fares_duplicates)\n", + " display(fares_duplicates)\n", " # Drop rows where 'Agency VOMS' is 0\n", " fares = fares[~((fares['NTD ID'].isin(fares_duplicates['NTD ID'])) & \n", " (fares['Mode'].isin(fares_duplicates['Mode'])) & \n", @@ -3382,7 +4765,7 @@ "revenue_duplicates = revenue[revenue.duplicated(subset=['NTD ID', 'Mode', 'TOS'], keep=False)]\n", "if not revenue_duplicates.empty:\n", " print(\"Duplicates found in revenue DataFrame based on NTD ID, Mode, and TOS:\")\n", - " # display(revenue_duplicates.head(55))\n", + " display(revenue_duplicates.head(55))\n", " # Drop rows where 'Total Fares' is 0\n", " revenue = revenue[~((revenue['NTD ID'].isin(revenue_duplicates['NTD ID'])) & \n", " (revenue['Mode'].isin(revenue_duplicates['Mode'])) & \n", @@ -3400,7 +4783,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -3655,7 +5038,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -3803,7 +5186,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.5" + "version": "3.12.7" } }, "nbformat": 4, diff --git a/src/emcommon/metrics/transit/transitland.py b/src/emcommon/metrics/transit/transitland.py new file mode 100644 index 0000000..39f6813 --- /dev/null +++ b/src/emcommon/metrics/transit/transitland.py @@ -0,0 +1,60 @@ +from pprint import pprint +import gtfs_kit as gk +import requests + + +# Save the original requests.get and requests.head functions +original_get = requests.get +original_head = requests.head + +# Define a new version for requests.get and requests.head that always uses verify=False +def new_get(*args, **kwargs): + kwargs['verify'] = False + return original_get(*args, **kwargs) + +def new_head(*args, **kwargs): + kwargs['verify'] = False + return original_head(*args, **kwargs) + +# Monkey-patch both requests.get and requests.head +requests.get = new_get +requests.head = new_head + +# Now both requests.get and requests.head will use verify=False automatically + +# Any subsequent requests.get calls will use verify=False by default + +# Define the API key +api_key = "i dont know what the api key is :)" + +# Construct the URL with the API key as a query parameter +url = f"https://api.transit.land/api/v2/rest/feeds?api_key={api_key}" + +# Make a GET request to the URL +print(url) +response = requests.get(url, verify=False) + +# Print the response +url_gtfs = response.json()['feeds'][0]['urls']['static_current'] +print(url_gtfs) +# print all values availabe in feeds of 0. +pprint(response.json()['feeds'][0].keys()) + +# but only thekeeys not the values. +import sys; sys.exit(0) + +# Download and read the GTFS feed +feed = gk.read_feed(url_gtfs, dist_units='km') + +# Get fare attributes (fare prices, currency, etc.) +fare_attributes = feed.fare_attributes +pprint(fare_attributes.head()) + +# Get fare rules (conditions for applying certain fares, like route or zone) +fare_rules = feed.fare_rules +print(fare_rules) + +# Get fare attributes (price, currency) +fare_attributes = feed.fare_attributes[['fare_id', 'price', 'currency_type']] +pprint(fare_attributes.head()) + diff --git a/src/emcommon/resources/ntd2018_intensities.json b/src/emcommon/resources/ntd2018_intensities.json index fe36c92..cfdf67b 100644 --- a/src/emcommon/resources/ntd2018_intensities.json +++ b/src/emcommon/resources/ntd2018_intensities.json @@ -14,7 +14,8 @@ "All Fuels (Wh/pkm)": 2731.8630276659833, "Unlinked Passenger Trips": 883312, "Passenger Paid Fares": 913277, - "Average Fare": 1.0339234607930154 + "Average Fare": 1.0339234607930154, + "Average Passengers": 0.8950825780218534 }, { "NTD ID": 1, @@ -26,7 +27,8 @@ "All Fuels (Wh/pkm)": 1422.1490042071223, "Unlinked Passenger Trips": 664365, "Passenger Paid Fares": 3189322, - "Average Fare": 4.8005569227758835 + "Average Fare": 4.8005569227758835, + "Average Passengers": 66.87148432784774 }, { "NTD ID": 1, @@ -42,7 +44,8 @@ "All Fuels (Wh/pkm)": 484.0515411286588, "Unlinked Passenger Trips": 104261625, "Passenger Paid Fares": 142597278, - "Average Fare": 1.3676870852530834 + "Average Fare": 1.3676870852530834, + "Average Passengers": 11.29186739954102 }, { "NTD ID": 1, @@ -54,7 +57,8 @@ "All Fuels (Wh/pkm)": 819.816888556748, "Unlinked Passenger Trips": 1685668, "Passenger Paid Fares": 1405910, - "Average Fare": 0.8340373074650524 + "Average Fare": 0.8340373074650524, + "Average Passengers": 8.773966063241481 }, { "NTD ID": 1, @@ -66,7 +70,8 @@ "All Fuels (Wh/pkm)": 364.8705776097628, "Unlinked Passenger Trips": 17950742, "Passenger Paid Fares": 23655207, - "Average Fare": 1.3177843567692076 + "Average Fare": 1.3177843567692076, + "Average Passengers": 10.50531112006402 }, { "NTD ID": 1, @@ -78,7 +83,8 @@ "All Fuels (Wh/pkm)": 283.13172034788505, "Unlinked Passenger Trips": 3464738, "Passenger Paid Fares": 7224125, - "Average Fare": 2.085042216756361 + "Average Fare": 2.085042216756361, + "Average Passengers": 4.357951590807403 }, { "NTD ID": 2, @@ -94,7 +100,8 @@ "All Fuels (Wh/pkm)": 1593.6861477394152, "Unlinked Passenger Trips": 475326, "Passenger Paid Fares": 804361, - "Average Fare": 1.692230174659076 + "Average Fare": 1.692230174659076, + "Average Passengers": 1.5627085080684815 }, { "NTD ID": 2, @@ -106,7 +113,8 @@ "All Fuels (Wh/pkm)": 667.5639415402916, "Unlinked Passenger Trips": 10069599, "Passenger Paid Fares": 7940777, - "Average Fare": 0.7885891980405575 + "Average Fare": 0.7885891980405575, + "Average Passengers": 6.4569629897125145 }, { "NTD ID": 2, @@ -118,7 +126,8 @@ "All Fuels (Wh/pkm)": 286.4886353371399, "Unlinked Passenger Trips": 157433, "Passenger Paid Fares": 497783, - "Average Fare": 3.161872034452751 + "Average Fare": 3.161872034452751, + "Average Passengers": 4.493922601849519 }, { "NTD ID": 3, @@ -132,7 +141,8 @@ "All Fuels (Wh/pkm)": 3032.5552575612855, "Unlinked Passenger Trips": 300043, "Passenger Paid Fares": 394485, - "Average Fare": 1.314761550844379 + "Average Fare": 1.314761550844379, + "Average Passengers": 0.9923341173505101 }, { "NTD ID": 3, @@ -150,7 +160,8 @@ "All Fuels (Wh/pkm)": 342.9397421959389, "Unlinked Passenger Trips": 8654242, "Passenger Paid Fares": 8587888, - "Average Fare": 0.9923327773824675 + "Average Fare": 0.9923327773824675, + "Average Passengers": 6.197987361579534 }, { "NTD ID": 3, @@ -162,7 +173,8 @@ "All Fuels (Wh/pkm)": 313.08448060603723, "Unlinked Passenger Trips": 783571, "Passenger Paid Fares": 2998464, - "Average Fare": 3.8266653564259014 + "Average Fare": 3.8266653564259014, + "Average Passengers": 4.694233671202483 }, { "NTD ID": 5, @@ -176,7 +188,8 @@ "All Fuels (Wh/pkm)": 3518.6672302678217, "Unlinked Passenger Trips": 129011, "Passenger Paid Fares": 107969, - "Average Fare": 0.8368976288843587 + "Average Fare": 0.8368976288843587, + "Average Passengers": 1.0832902435919398 }, { "NTD ID": 5, @@ -190,7 +203,8 @@ "All Fuels (Wh/pkm)": 1089.6770772907907, "Unlinked Passenger Trips": 1800312, "Passenger Paid Fares": 1022259, - "Average Fare": 0.567823243971045 + "Average Fare": 0.567823243971045, + "Average Passengers": 4.680028752616126 }, { "NTD ID": 6, @@ -198,7 +212,8 @@ "UACE Code": "97507", "Unlinked Passenger Trips": 69112, "Passenger Paid Fares": 83154, - "Average Fare": 1.2031774510938766 + "Average Fare": 1.2031774510938766, + "Average Passengers": 0.6205514274540478 }, { "NTD ID": 6, @@ -210,7 +225,8 @@ "All Fuels (Wh/pkm)": 1144.127275991186, "Unlinked Passenger Trips": 966034, "Passenger Paid Fares": 607456, - "Average Fare": 0.6288143067428269 + "Average Fare": 0.6288143067428269, + "Average Passengers": 4.627518199600718 }, { "NTD ID": 6, @@ -222,7 +238,8 @@ "All Fuels (Wh/pkm)": 177.7988653823207, "Unlinked Passenger Trips": 43127, "Passenger Paid Fares": 170817, - "Average Fare": 3.960790224221485 + "Average Fare": 3.960790224221485, + "Average Passengers": 7.833905193915662 }, { "NTD ID": 7, @@ -234,7 +251,8 @@ "All Fuels (Wh/pkm)": 2311.2205489982885, "Unlinked Passenger Trips": 185362, "Passenger Paid Fares": 288310, - "Average Fare": 1.5553889146642785 + "Average Fare": 1.5553889146642785, + "Average Passengers": 1.0867042043708488 }, { "NTD ID": 7, @@ -248,7 +266,8 @@ "All Fuels (Wh/pkm)": 656.279713986434, "Unlinked Passenger Trips": 6670478, "Passenger Paid Fares": 2820008, - "Average Fare": 0.42275950838905396 + "Average Fare": 0.42275950838905396, + "Average Passengers": 7.921204019771723 }, { "NTD ID": 7, @@ -260,7 +279,8 @@ "All Fuels (Wh/pkm)": 530.1301338954004, "Unlinked Passenger Trips": 3496291, "Passenger Paid Fares": 1778882, - "Average Fare": 0.5087911732747646 + "Average Fare": 0.5087911732747646, + "Average Passengers": 12.668786949766384 }, { "NTD ID": 7, @@ -272,7 +292,8 @@ "All Fuels (Wh/pkm)": 320.6830452715415, "Unlinked Passenger Trips": 39028, "Passenger Paid Fares": 193621, - "Average Fare": 4.961079225171671 + "Average Fare": 4.961079225171671, + "Average Passengers": 5.2629069029204665 }, { "NTD ID": 8, @@ -284,7 +305,8 @@ "All Fuels (Wh/pkm)": 1937.8180642429004, "Unlinked Passenger Trips": 898989, "Passenger Paid Fares": 973880, - "Average Fare": 1.083305802406926 + "Average Fare": 1.083305802406926, + "Average Passengers": 1.1765955421618144 }, { "NTD ID": 8, @@ -296,7 +318,8 @@ "All Fuels (Wh/pkm)": 82.12615892619563, "Unlinked Passenger Trips": 38919828, "Passenger Paid Fares": 37111789, - "Average Fare": 0.9535445274835234 + "Average Fare": 0.9535445274835234, + "Average Passengers": 46.253748836947274 }, { "NTD ID": 8, @@ -308,7 +331,8 @@ "All Fuels (Wh/pkm)": 554.5310437111715, "Unlinked Passenger Trips": 56690101, "Passenger Paid Fares": 49252722, - "Average Fare": 0.868806390025659 + "Average Fare": 0.868806390025659, + "Average Passengers": 8.132211549304602 }, { "NTD ID": 8, @@ -320,7 +344,8 @@ "All Fuels (Wh/pkm)": 607.5872174814986, "Unlinked Passenger Trips": 414273, "Passenger Paid Fares": 335313, - "Average Fare": 0.8094010471355845 + "Average Fare": 0.8094010471355845, + "Average Passengers": 29.687302627158502 }, { "NTD ID": 11, @@ -336,7 +361,8 @@ "All Fuels (Wh/pkm)": 876.9292829098977, "Unlinked Passenger Trips": 79236, "Passenger Paid Fares": 86011, - "Average Fare": 1.0855040638093796 + "Average Fare": 1.0855040638093796, + "Average Passengers": 0.8432267157155483 }, { "NTD ID": 11, @@ -350,7 +376,8 @@ "All Fuels (Wh/pkm)": 403.6232232068598, "Unlinked Passenger Trips": 1290296, "Passenger Paid Fares": 606419, - "Average Fare": 0.46998440667877756 + "Average Fare": 0.46998440667877756, + "Average Passengers": 3.5672383074756366 }, { "NTD ID": 12, @@ -362,7 +389,8 @@ "All Fuels (Wh/pkm)": 2696.4611046638092, "Unlinked Passenger Trips": 132917, "Passenger Paid Fares": 699280, - "Average Fare": 5.261027558551577 + "Average Fare": 5.261027558551577, + "Average Passengers": 0.9736526380921419 }, { "NTD ID": 12, @@ -376,7 +404,8 @@ "All Fuels (Wh/pkm)": 901.0106007722137, "Unlinked Passenger Trips": 3227500, "Passenger Paid Fares": 3463604, - "Average Fare": 1.0731538342370255 + "Average Fare": 1.0731538342370255, + "Average Passengers": 6.186861159456523 }, { "NTD ID": 12, @@ -388,7 +417,8 @@ "All Fuels (Wh/pkm)": 218.10143380958058, "Unlinked Passenger Trips": 206330, "Passenger Paid Fares": 1079448, - "Average Fare": 5.2316580235545 + "Average Fare": 5.2316580235545, + "Average Passengers": 5.520456516205263 }, { "NTD ID": 16, @@ -404,7 +434,8 @@ "All Fuels (Wh/pkm)": 4491.430295712281, "Unlinked Passenger Trips": 52622, "Passenger Paid Fares": 27911, - "Average Fare": 0.5304055338071529 + "Average Fare": 0.5304055338071529, + "Average Passengers": 0.7494006957336745 }, { "NTD ID": 16, @@ -416,7 +447,8 @@ "All Fuels (Wh/pkm)": 1026.8418182675255, "Unlinked Passenger Trips": 354317, "Passenger Paid Fares": 96465, - "Average Fare": 0.2722561999565361 + "Average Fare": 0.2722561999565361, + "Average Passengers": 4.553710849320676 }, { "NTD ID": 18, @@ -428,7 +460,8 @@ "All Fuels (Wh/pkm)": 3149.5739472387027, "Unlinked Passenger Trips": 391847, "Passenger Paid Fares": 144606, - "Average Fare": 0.3690368945021909 + "Average Fare": 0.3690368945021909, + "Average Passengers": 1.179948359625563 }, { "NTD ID": 18, @@ -442,7 +475,8 @@ "All Fuels (Wh/pkm)": 1410.366042978371, "Unlinked Passenger Trips": 2032773, "Passenger Paid Fares": 1125743, - "Average Fare": 0.5537967102081738 + "Average Fare": 0.5537967102081738, + "Average Passengers": 3.1914399934366076 }, { "NTD ID": 18, @@ -454,7 +488,8 @@ "All Fuels (Wh/pkm)": 273.00235358223966, "Unlinked Passenger Trips": 646186, "Passenger Paid Fares": 1477323, - "Average Fare": 2.2862194476512956 + "Average Fare": 2.2862194476512956, + "Average Passengers": 6.144723959788975 }, { "NTD ID": 19, @@ -466,7 +501,8 @@ "All Fuels (Wh/pkm)": 661.8907206334965, "Unlinked Passenger Trips": 167823, "Passenger Paid Fares": 184775, - "Average Fare": 1.1010111844026147 + "Average Fare": 1.1010111844026147, + "Average Passengers": 7.044118939183154 }, { "NTD ID": 19, @@ -482,7 +518,8 @@ "All Fuels (Wh/pkm)": 2381.869563452265, "Unlinked Passenger Trips": 190907, "Passenger Paid Fares": 176947, - "Average Fare": 0.9268753895876003 + "Average Fare": 0.9268753895876003, + "Average Passengers": 1.0769008035798 }, { "NTD ID": 19, @@ -494,7 +531,8 @@ "All Fuels (Wh/pkm)": 1064.622018679373, "Unlinked Passenger Trips": 3595607, "Passenger Paid Fares": 1794627, - "Average Fare": 0.4991165608477233 + "Average Fare": 0.4991165608477233, + "Average Passengers": 5.327841941046882 }, { "NTD ID": 19, @@ -506,7 +544,8 @@ "All Fuels (Wh/pkm)": 195.4124254189693, "Unlinked Passenger Trips": 520843, "Passenger Paid Fares": 1391732, - "Average Fare": 2.672075846272293 + "Average Fare": 2.672075846272293, + "Average Passengers": 6.256632818118247 }, { "NTD ID": 20, @@ -522,7 +561,8 @@ "All Fuels (Wh/pkm)": 1841.5892883469487, "Unlinked Passenger Trips": 294105, "Passenger Paid Fares": 246783, - "Average Fare": 0.8390982812260928 + "Average Fare": 0.8390982812260928, + "Average Passengers": 1.306007907206646 }, { "NTD ID": 20, @@ -534,7 +574,8 @@ "All Fuels (Wh/pkm)": 1366.6690875341992, "Unlinked Passenger Trips": 854729, "Passenger Paid Fares": 1830705, - "Average Fare": 2.141854318737284 + "Average Fare": 2.141854318737284, + "Average Passengers": 46.70496997009716 }, { "NTD ID": 20, @@ -550,7 +591,8 @@ "All Fuels (Wh/pkm)": 825.6017096594546, "Unlinked Passenger Trips": 2510211, "Passenger Paid Fares": 4031367, - "Average Fare": 1.6059873054496216 + "Average Fare": 1.6059873054496216, + "Average Passengers": 4.977515959673776 }, { "NTD ID": 20, @@ -564,7 +606,8 @@ "All Fuels (Wh/pkm)": 336.48715042529227, "Unlinked Passenger Trips": 168402, "Passenger Paid Fares": 474125, - "Average Fare": 2.8154356836617143 + "Average Fare": 2.8154356836617143, + "Average Passengers": 4.34959273162785 }, { "NTD ID": 21, @@ -578,7 +621,8 @@ "All Fuels (Wh/pkm)": 2900.350136544023, "Unlinked Passenger Trips": 214479, "Passenger Paid Fares": 95900, - "Average Fare": 0.44713002205344116 + "Average Fare": 0.44713002205344116, + "Average Passengers": 1.1204094159589368 }, { "NTD ID": 21, @@ -590,7 +634,8 @@ "All Fuels (Wh/pkm)": 787.5702856557657, "Unlinked Passenger Trips": 4542536, "Passenger Paid Fares": 1339464, - "Average Fare": 0.2948714110355977 + "Average Fare": 0.2948714110355977, + "Average Passengers": 5.69687651178012 }, { "NTD ID": 21, @@ -602,7 +647,8 @@ "All Fuels (Wh/pkm)": 268.28206107837286, "Unlinked Passenger Trips": 47591, "Passenger Paid Fares": 182460, - "Average Fare": 3.833918177806728 + "Average Fare": 3.833918177806728, + "Average Passengers": 4.4009036929903536 }, { "NTD ID": 23, @@ -610,7 +656,8 @@ "UACE Code": "80389", "Unlinked Passenger Trips": 2021780, "Passenger Paid Fares": 4265280, - "Average Fare": 2.1096657400904153 + "Average Fare": 2.1096657400904153, + "Average Passengers": 34.7863041982106 }, { "NTD ID": 24, @@ -624,7 +671,8 @@ "All Fuels (Wh/pkm)": 2536.665142452017, "Unlinked Passenger Trips": 257655, "Passenger Paid Fares": 507280, - "Average Fare": 1.9688342939201646 + "Average Fare": 1.9688342939201646, + "Average Passengers": 1.085651893816279 }, { "NTD ID": 24, @@ -638,7 +686,8 @@ "All Fuels (Wh/pkm)": 852.559905494557, "Unlinked Passenger Trips": 5918875, "Passenger Paid Fares": 5908808, - "Average Fare": 0.9982991700280881 + "Average Fare": 0.9982991700280881, + "Average Passengers": 5.6010519052614285 }, { "NTD ID": 24, @@ -650,7 +699,8 @@ "All Fuels (Wh/pkm)": 254.91622046999424, "Unlinked Passenger Trips": 44222, "Passenger Paid Fares": 156856, - "Average Fare": 3.5470127990592917 + "Average Fare": 3.5470127990592917, + "Average Passengers": 4.477574677487978 }, { "NTD ID": 25, @@ -660,7 +710,8 @@ "Diesel (Wh/pkm)": 5117.002539938507, "Unlinked Passenger Trips": 455807, "Passenger Paid Fares": 415049, - "Average Fare": 0.9105805746730524 + "Average Fare": 0.9105805746730524, + "Average Passengers": 0.8772620621541259 }, { "NTD ID": 25, @@ -674,7 +725,8 @@ "All Fuels (Wh/pkm)": 769.8415574572994, "Unlinked Passenger Trips": 3011629, "Passenger Paid Fares": 2682560, - "Average Fare": 0.8907338852162733 + "Average Fare": 0.8907338852162733, + "Average Passengers": 4.02513947325778 }, { "NTD ID": 25, @@ -686,7 +738,8 @@ "All Fuels (Wh/pkm)": 306.93396389943723, "Unlinked Passenger Trips": 70250, "Passenger Paid Fares": 303605, - "Average Fare": 4.321779359430605 + "Average Fare": 4.321779359430605, + "Average Passengers": 5.390726233726915 }, { "NTD ID": 28, @@ -698,7 +751,8 @@ "All Fuels (Wh/pkm)": 2560.4105247703483, "Unlinked Passenger Trips": 443016, "Passenger Paid Fares": 2686520, - "Average Fare": 6.0641602109178905 + "Average Fare": 6.0641602109178905, + "Average Passengers": 43.681664259748025 }, { "NTD ID": 29, @@ -710,7 +764,8 @@ "All Fuels (Wh/pkm)": 645.3835914300537, "Unlinked Passenger Trips": 2994035, "Passenger Paid Fares": 7651040, - "Average Fare": 2.5554277087609196 + "Average Fare": 2.5554277087609196, + "Average Passengers": 13.072700915532037 }, { "NTD ID": 29, @@ -722,7 +777,8 @@ "All Fuels (Wh/pkm)": 1867.9675303178285, "Unlinked Passenger Trips": 200010, "Passenger Paid Fares": 357080, - "Average Fare": 1.7853107344632768 + "Average Fare": 1.7853107344632768, + "Average Passengers": 1.3905930770760635 }, { "NTD ID": 29, @@ -734,7 +790,8 @@ "All Fuels (Wh/pkm)": 748.8795431107911, "Unlinked Passenger Trips": 6584139, "Passenger Paid Fares": 5448418, - "Average Fare": 0.827506527429023 + "Average Fare": 0.827506527429023, + "Average Passengers": 5.01221195508168 }, { "NTD ID": 29, @@ -746,7 +803,8 @@ "All Fuels (Wh/pkm)": 274.46313117825326, "Unlinked Passenger Trips": 869370, "Passenger Paid Fares": 1787260, - "Average Fare": 2.0558105294638644 + "Average Fare": 2.0558105294638644, + "Average Passengers": 4.385461239967675 }, { "NTD ID": 34, @@ -758,7 +816,8 @@ "All Fuels (Wh/pkm)": 2443.079770044388, "Unlinked Passenger Trips": 51469, "Passenger Paid Fares": 120935, - "Average Fare": 2.3496667897180825 + "Average Fare": 2.3496667897180825, + "Average Passengers": 0.8252450032435176 }, { "NTD ID": 34, @@ -772,7 +831,8 @@ "All Fuels (Wh/pkm)": 351.94361840200423, "Unlinked Passenger Trips": 1158601, "Passenger Paid Fares": 1181882, - "Average Fare": 1.020094061717537 + "Average Fare": 1.020094061717537, + "Average Passengers": 6.726227212478229 }, { "NTD ID": 35, @@ -784,7 +844,8 @@ "All Fuels (Wh/pkm)": 2293.1573301880726, "Unlinked Passenger Trips": 24566419, "Passenger Paid Fares": 75707452, - "Average Fare": 3.0817455323871177 + "Average Fare": 3.0817455323871177, + "Average Passengers": 212.23744652600385 }, { "NTD ID": 40, @@ -798,7 +859,8 @@ "All Fuels (Wh/pkm)": 293.0150705156005, "Unlinked Passenger Trips": 18189263, "Passenger Paid Fares": 14925074, - "Average Fare": 0.8205430863251578 + "Average Fare": 0.8205430863251578, + "Average Passengers": 15.650581930482007 }, { "NTD ID": 40, @@ -810,7 +872,8 @@ "All Fuels (Wh/pkm)": 282.7727103834836, "Unlinked Passenger Trips": 4631525, "Passenger Paid Fares": 15223898, - "Average Fare": 3.287016263541706 + "Average Fare": 3.287016263541706, + "Average Passengers": 310.7346008360467 }, { "NTD ID": 40, @@ -822,7 +885,8 @@ "All Fuels (Wh/pkm)": 35.411546808269144, "Unlinked Passenger Trips": 24470264, "Passenger Paid Fares": 38269631, - "Average Fare": 1.5639239118956787 + "Average Fare": 1.5639239118956787, + "Average Passengers": 76.54926477881666 }, { "NTD ID": 40, @@ -832,7 +896,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 304.407967817467, "All Fuels (Wh/pkm)": 304.407967817467, - "Unlinked Passenger Trips": 897642 + "Unlinked Passenger Trips": 897642, + "Average Passengers": 10.475656465942745 }, { "NTD ID": 41, @@ -844,7 +909,8 @@ "All Fuels (Wh/pkm)": 110.46380882687566, "Unlinked Passenger Trips": 199666, "Passenger Paid Fares": 25655269, - "Average Fare": 128.4909248444903 + "Average Fare": 128.4909248444903, + "Average Passengers": 131.76020839123493 }, { "NTD ID": 43, @@ -855,7 +921,8 @@ "All Fuels (Wh/pkm)": 2587.87804035923, "Unlinked Passenger Trips": 54888, "Passenger Paid Fares": 40038, - "Average Fare": 0.7294490599038042 + "Average Fare": 0.7294490599038042, + "Average Passengers": 0.7694656542946829 }, { "NTD ID": 43, @@ -872,7 +939,8 @@ "All Fuels (Wh/pkm)": 675.7078963491988, "Unlinked Passenger Trips": 947095, "Passenger Paid Fares": 489763, - "Average Fare": 0.5171213025092519 + "Average Fare": 0.5171213025092519, + "Average Passengers": 5.643225922531469 }, { "NTD ID": 44, @@ -884,7 +952,8 @@ "All Fuels (Wh/pkm)": 507.30682462228594, "Unlinked Passenger Trips": 139223, "Passenger Paid Fares": 87369, - "Average Fare": 0.6275471725217816 + "Average Fare": 0.6275471725217816, + "Average Passengers": 7.3797508542633805 }, { "NTD ID": 44, @@ -898,7 +967,8 @@ "All Fuels (Wh/pkm)": 3584.8448075475267, "Unlinked Passenger Trips": 66829, "Passenger Paid Fares": 7886, - "Average Fare": 0.11800266351434258 + "Average Fare": 0.11800266351434258, + "Average Passengers": 0.7875679883799304 }, { "NTD ID": 44, @@ -910,7 +980,8 @@ "All Fuels (Wh/pkm)": 1399.849924137649, "Unlinked Passenger Trips": 591047, "Passenger Paid Fares": 351673, - "Average Fare": 0.5950000592169489 + "Average Fare": 0.5950000592169489, + "Average Passengers": 2.601666065964576 }, { "NTD ID": 44, @@ -922,7 +993,8 @@ "All Fuels (Wh/pkm)": 271.0971683524006, "Unlinked Passenger Trips": 110388, "Passenger Paid Fares": 462906, - "Average Fare": 4.193444939667355 + "Average Fare": 4.193444939667355, + "Average Passengers": 4.687462776015843 }, { "NTD ID": 46, @@ -938,7 +1010,8 @@ "All Fuels (Wh/pkm)": 1310.0381447200325, "Unlinked Passenger Trips": 21743, "Passenger Paid Fares": 7755, - "Average Fare": 0.35666651336062183 + "Average Fare": 0.35666651336062183, + "Average Passengers": 1.2332563042244384 }, { "NTD ID": 46, @@ -952,7 +1025,8 @@ "All Fuels (Wh/pkm)": 1983.428212269824, "Unlinked Passenger Trips": 269167, "Passenger Paid Fares": 191522, - "Average Fare": 0.7115359609461784 + "Average Fare": 0.7115359609461784, + "Average Passengers": 3.0983405349967215 }, { "NTD ID": 47, @@ -962,7 +1036,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 556.5599392409879, "All Fuels (Wh/pkm)": 556.5599392409879, - "Unlinked Passenger Trips": 1120526 + "Unlinked Passenger Trips": 1120526, + "Average Passengers": 8.206930538984283 }, { "NTD ID": 57, @@ -976,7 +1051,8 @@ "All Fuels (Wh/pkm)": 392.59282655023947, "Unlinked Passenger Trips": 218488, "Passenger Paid Fares": 227578, - "Average Fare": 1.041604115557834 + "Average Fare": 1.041604115557834, + "Average Passengers": 5.097151088348271 }, { "NTD ID": 57, @@ -988,7 +1064,8 @@ "All Fuels (Wh/pkm)": 4007.782087496629, "Unlinked Passenger Trips": 89093, "Passenger Paid Fares": 112630, - "Average Fare": 1.264184616075337 + "Average Fare": 1.264184616075337, + "Average Passengers": 0.7633392819135872 }, { "NTD ID": 57, @@ -1002,7 +1079,8 @@ "All Fuels (Wh/pkm)": 1138.2387992065178, "Unlinked Passenger Trips": 425421, "Passenger Paid Fares": 287279, - "Average Fare": 0.6752816621652433 + "Average Fare": 0.6752816621652433, + "Average Passengers": 3.045904471505786 }, { "NTD ID": 58, @@ -1014,7 +1092,8 @@ "All Fuels (Wh/pkm)": 163.17865257150586, "Unlinked Passenger Trips": 4879658, "Passenger Paid Fares": 1221577, - "Average Fare": 0.2503407001064419 + "Average Fare": 0.2503407001064419, + "Average Passengers": 23.498590774888996 }, { "NTD ID": 58, @@ -1026,7 +1105,8 @@ "All Fuels (Wh/pkm)": 176.24336310733602, "Unlinked Passenger Trips": 2068009, "Passenger Paid Fares": 776619, - "Average Fare": 0.37553946815511924 + "Average Fare": 0.37553946815511924, + "Average Passengers": 38.92723529411765 }, { "NTD ID": 376, @@ -1038,7 +1118,8 @@ "All Fuels (Wh/pkm)": 3452.687612789807, "Unlinked Passenger Trips": 86149, "Passenger Paid Fares": 13700, - "Average Fare": 0.15902680240049216 + "Average Fare": 0.15902680240049216, + "Average Passengers": 0.4778044342454481 }, { "NTD ID": 376, @@ -1046,7 +1127,8 @@ "UACE Code": "71317", "Unlinked Passenger Trips": 110156, "Passenger Paid Fares": 3605, - "Average Fare": 0.03272631540724064 + "Average Fare": 0.03272631540724064, + "Average Passengers": 1.5073052237475488 }, { "NTD ID": 415, @@ -1058,7 +1140,8 @@ "All Fuels (Wh/pkm)": 181.1508341120031, "Unlinked Passenger Trips": 170512, "Passenger Paid Fares": 982883, - "Average Fare": 5.764303978605612 + "Average Fare": 5.764303978605612, + "Average Passengers": 8.198198422712034 }, { "NTD ID": 10001, @@ -1070,7 +1153,8 @@ "All Fuels (Wh/pkm)": 2184.6602510865423, "Unlinked Passenger Trips": 320410, "Passenger Paid Fares": 273147, - "Average Fare": 0.8524921194719266 + "Average Fare": 0.8524921194719266, + "Average Passengers": 1.1355556415099761 }, { "NTD ID": 10001, @@ -1082,7 +1166,8 @@ "All Fuels (Wh/pkm)": 627.6712953179889, "Unlinked Passenger Trips": 16339054, "Passenger Paid Fares": 12037956, - "Average Fare": 0.7367596679709854 + "Average Fare": 0.7367596679709854, + "Average Passengers": 6.734774416710727 }, { "NTD ID": 10001, @@ -1094,7 +1179,8 @@ "All Fuels (Wh/pkm)": 223.20312880690472, "Unlinked Passenger Trips": 18919, "Passenger Paid Fares": 88804, - "Average Fare": 4.693905597547439 + "Average Fare": 4.693905597547439, + "Average Passengers": 6.171367709710592 }, { "NTD ID": 10003, @@ -1106,7 +1192,8 @@ "All Fuels (Wh/pkm)": 300.1939318610126, "Unlinked Passenger Trips": 32859741, "Passenger Paid Fares": 229103721, - "Average Fare": 6.972170626664404 + "Average Fare": 6.972170626664404, + "Average Passengers": 146.36342337749207 }, { "NTD ID": 10003, @@ -1118,7 +1205,8 @@ "All Fuels (Wh/pkm)": 4084.247389333481, "Unlinked Passenger Trips": 1955578, "Passenger Paid Fares": 5737517, - "Average Fare": 2.933923883373611 + "Average Fare": 2.933923883373611, + "Average Passengers": 0.7974213818566944 }, { "NTD ID": 10003, @@ -1130,7 +1218,8 @@ "All Fuels (Wh/pkm)": 2506.227197884383, "Unlinked Passenger Trips": 1497251, "Passenger Paid Fares": 11007657, - "Average Fare": 7.351911603331706 + "Average Fare": 7.351911603331706, + "Average Passengers": 50.04980083008343 }, { "NTD ID": 10003, @@ -1142,7 +1231,8 @@ "All Fuels (Wh/pkm)": 34.2299155488016, "Unlinked Passenger Trips": 163515168, "Passenger Paid Fares": 223384553, - "Average Fare": 1.3661396415530087 + "Average Fare": 1.3661396415530087, + "Average Passengers": 144.84578033427286 }, { "NTD ID": 10003, @@ -1154,7 +1244,8 @@ "All Fuels (Wh/pkm)": 102.779858186511, "Unlinked Passenger Trips": 56768835, "Passenger Paid Fares": 81353000, - "Average Fare": 1.4330574160981109 + "Average Fare": 1.4330574160981109, + "Average Passengers": 45.70844071011703 }, { "NTD ID": 10003, @@ -1170,7 +1261,8 @@ "All Fuels (Wh/pkm)": 540.8118323009228, "Unlinked Passenger Trips": 102691333, "Passenger Paid Fares": 96662213, - "Average Fare": 0.9412889109151986 + "Average Fare": 0.9412889109151986, + "Average Passengers": 10.582793586776306 }, { "NTD ID": 10003, @@ -1181,7 +1273,8 @@ "All Fuels (Wh/pkm)": 556.9508697080313, "Unlinked Passenger Trips": 10540640, "Passenger Paid Fares": 10590933, - "Average Fare": 1.004771342157592 + "Average Fare": 1.004771342157592, + "Average Passengers": 18.384990055981145 }, { "NTD ID": 10003, @@ -1193,7 +1286,8 @@ "All Fuels (Wh/pkm)": 421.3596650501298, "Unlinked Passenger Trips": 2570292, "Passenger Paid Fares": 1888300, - "Average Fare": 0.7346636102045994 + "Average Fare": 0.7346636102045994, + "Average Passengers": 10.833429404215517 }, { "NTD ID": 10004, @@ -1207,7 +1301,8 @@ "All Fuels (Wh/pkm)": 2132.8593751778258, "Unlinked Passenger Trips": 173094, "Passenger Paid Fares": 151986, - "Average Fare": 0.8780546986030712 + "Average Fare": 0.8780546986030712, + "Average Passengers": 1.2904500195024704 }, { "NTD ID": 10004, @@ -1219,7 +1314,8 @@ "All Fuels (Wh/pkm)": 431.1437403267402, "Unlinked Passenger Trips": 2659314, "Passenger Paid Fares": 2484149, - "Average Fare": 0.9341315091034755 + "Average Fare": 0.9341315091034755, + "Average Passengers": 12.912898756140057 }, { "NTD ID": 10005, @@ -1231,7 +1327,8 @@ "All Fuels (Wh/pkm)": 2610.925025374629, "Unlinked Passenger Trips": 114837, "Passenger Paid Fares": 53646, - "Average Fare": 0.4671490895791426 + "Average Fare": 0.4671490895791426, + "Average Passengers": 0.8936249136359004 }, { "NTD ID": 10005, @@ -1245,7 +1342,8 @@ "All Fuels (Wh/pkm)": 1012.317314236516, "Unlinked Passenger Trips": 1411149, "Passenger Paid Fares": 1203676, - "Average Fare": 0.8529758374204283 + "Average Fare": 0.8529758374204283, + "Average Passengers": 5.039162309548595 }, { "NTD ID": 10006, @@ -1257,7 +1355,8 @@ "All Fuels (Wh/pkm)": 3734.4197961778145, "Unlinked Passenger Trips": 74036, "Passenger Paid Fares": 167645, - "Average Fare": 2.2643713868928628 + "Average Fare": 2.2643713868928628, + "Average Passengers": 0.7363350901265093 }, { "NTD ID": 10006, @@ -1269,7 +1368,8 @@ "All Fuels (Wh/pkm)": 1045.197438350137, "Unlinked Passenger Trips": 2632161, "Passenger Paid Fares": 2211322, - "Average Fare": 0.8401165430230142 + "Average Fare": 0.8401165430230142, + "Average Passengers": 5.174447057444486 }, { "NTD ID": 10007, @@ -1281,7 +1381,8 @@ "All Fuels (Wh/pkm)": 2709.0900181011557, "Unlinked Passenger Trips": 30458, "Passenger Paid Fares": 145268, - "Average Fare": 4.769453017269683 + "Average Fare": 4.769453017269683, + "Average Passengers": 0.9891524711179702 }, { "NTD ID": 10007, @@ -1295,7 +1396,8 @@ "All Fuels (Wh/pkm)": 666.0322323353648, "Unlinked Passenger Trips": 540045, "Passenger Paid Fares": 659783, - "Average Fare": 1.2217185604903296 + "Average Fare": 1.2217185604903296, + "Average Passengers": 5.020025704635801 }, { "NTD ID": 10008, @@ -1307,7 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2.0021953013654543, + "Average Passengers": 0.6503223174493562 }, { "NTD ID": 10013, @@ -1359,7 +1465,8 @@ "All Fuels (Wh/pkm)": 877.0338365620895, "Unlinked Passenger Trips": 2046740, "Passenger Paid Fares": 1267525, - "Average Fare": 0.6192896997175997 + "Average Fare": 0.6192896997175997, + "Average Passengers": 5.213137838620713 }, { "NTD ID": 10014, @@ -1371,7 +1478,8 @@ "All Fuels (Wh/pkm)": 2478.2257832890073, "Unlinked Passenger Trips": 135260, "Passenger Paid Fares": 259768, - "Average Fare": 1.9205086500073931 + "Average Fare": 1.9205086500073931, + "Average Passengers": 0.8123328123665726 }, { "NTD ID": 10014, @@ -1385,7 +1493,8 @@ "All Fuels (Wh/pkm)": 731.1644603978798, "Unlinked Passenger Trips": 3131083, "Passenger Paid Fares": 2971188, - "Average Fare": 0.9489330049698459 + "Average Fare": 0.9489330049698459, + "Average Passengers": 6.594013046261034 }, { "NTD ID": 10016, @@ -1399,7 +1508,8 @@ "All Fuels (Wh/pkm)": 579.4205409198411, "Unlinked Passenger Trips": 1947038, "Passenger Paid Fares": 1753300, - "Average Fare": 0.9004960355165128 + "Average Fare": 0.9004960355165128, + "Average Passengers": 5.591398706617376 }, { "NTD ID": 10017, @@ -1415,7 +1525,8 @@ "All Fuels (Wh/pkm)": 3020.190066590107, "Unlinked Passenger Trips": 499199, "Passenger Paid Fares": 1314045, - "Average Fare": 2.6323069557431005 + "Average Fare": 2.6323069557431005, + "Average Passengers": 0.8335073553972406 }, { "NTD ID": 10040, @@ -1423,7 +1534,8 @@ "UACE Code": "64135", "Unlinked Passenger Trips": 6577, "Passenger Paid Fares": 22454, - "Average Fare": 3.4140185494906494 + "Average Fare": 3.4140185494906494, + "Average Passengers": 0.26992472670877937 }, { "NTD ID": 10040, @@ -1435,7 +1547,8 @@ "All Fuels (Wh/pkm)": 1058.7894266174342, "Unlinked Passenger Trips": 951700, "Passenger Paid Fares": 1091427, - "Average Fare": 1.1468183251024482 + "Average Fare": 1.1468183251024482, + "Average Passengers": 5.150004944402936 }, { "NTD ID": 10042, @@ -1446,7 +1559,8 @@ "All Fuels 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Passengers": 9.392738111843139 }, { "NTD ID": 10048, @@ -1494,7 +1611,8 @@ "All Fuels (Wh/pkm)": 703.8349307637617, "Unlinked Passenger Trips": 1556661, "Passenger Paid Fares": 1173553, - "Average Fare": 0.753891181188454 + "Average Fare": 0.753891181188454, + "Average Passengers": 10.9109831173719 }, { "NTD ID": 10049, @@ -1506,7 +1624,8 @@ "All Fuels (Wh/pkm)": 3701.3015604592906, "Unlinked Passenger Trips": 226838, "Passenger Paid Fares": 210355, - "Average Fare": 0.9273358079334151 + "Average Fare": 0.9273358079334151, + "Average Passengers": 0.7706356005120962 }, { "NTD ID": 10050, @@ -1520,7 +1639,8 @@ "All Fuels (Wh/pkm)": 2199.874156154491, "Unlinked Passenger Trips": 89657, "Passenger Paid Fares": 122915, - "Average Fare": 1.3709470537715962 + "Average Fare": 1.3709470537715962, + "Average Passengers": 1.1011817609430243 }, { "NTD ID": 10050, @@ -1532,7 +1652,8 @@ "All Fuels (Wh/pkm)": 666.5201968289671, "Unlinked Passenger Trips": 5207268, "Passenger Paid Fares": 3492584, - "Average Fare": 0.6707133183849957 + "Average Fare": 0.6707133183849957, + "Average Passengers": 8.68693507270137 }, { "NTD ID": 10051, @@ -1546,7 +1667,8 @@ "All Fuels (Wh/pkm)": 3061.9806299843585, "Unlinked Passenger Trips": 60812, "Passenger Paid Fares": 73373, - "Average Fare": 1.2065546273761758 + "Average Fare": 1.2065546273761758, + "Average Passengers": 0.9723478439336845 }, { "NTD ID": 10051, @@ -1560,7 +1682,8 @@ "All Fuels (Wh/pkm)": 1100.71034124268, "Unlinked Passenger Trips": 680684, "Passenger Paid Fares": 826043, - "Average Fare": 1.2135484306961821 + "Average Fare": 1.2135484306961821, + "Average Passengers": 3.927131809253925 }, { "NTD ID": 10053, @@ -1572,7 +1695,8 @@ "All Fuels (Wh/pkm)": 2618.538038447613, "Unlinked Passenger Trips": 27864, "Passenger Paid Fares": 25052, - "Average Fare": 0.8990812517944301 + "Average Fare": 0.8990812517944301, + "Average Passengers": 0.9272517321016166 }, { "NTD ID": 10053, @@ -1586,7 +1710,8 @@ "All Fuels (Wh/pkm)": 940.2735443935777, "Unlinked Passenger Trips": 192786, "Passenger Paid Fares": 155175, - "Average Fare": 0.8049080327409667 + "Average Fare": 0.8049080327409667, + "Average Passengers": 3.242135125623396 }, { "NTD ID": 10055, @@ -1598,7 +1723,8 @@ "All Fuels (Wh/pkm)": 932.0939734978158, "Unlinked Passenger Trips": 7681447, "Passenger Paid Fares": 7232670, - "Average Fare": 0.9415765024480414 + "Average Fare": 0.9415765024480414, + "Average Passengers": 6.141327693215589 }, { "NTD ID": 10056, @@ -1610,7 +1736,8 @@ "All Fuels (Wh/pkm)": 734.1323706899519, "Unlinked Passenger Trips": 2839604, "Passenger Paid Fares": 3576872, - "Average Fare": 1.2596376114415955 + "Average Fare": 1.2596376114415955, + "Average Passengers": 6.342384399811664 }, { "NTD ID": 10057, @@ -1622,7 +1749,8 @@ "All Fuels (Wh/pkm)": 3890.7332955296856, "Unlinked Passenger Trips": 100871, "Passenger Paid Fares": 296864, - "Average Fare": 2.943006414132902 + "Average Fare": 2.943006414132902, + "Average Passengers": 0.7758392724692832 }, { "NTD ID": 10057, @@ -1634,7 +1762,8 @@ "All Fuels (Wh/pkm)": 1460.0839570220367, "Unlinked Passenger Trips": 1427611, "Passenger Paid Fares": 1443321, - "Average Fare": 1.011004398256948 + "Average Fare": 1.011004398256948, + "Average Passengers": 4.826739313983678 }, { "NTD ID": 10061, @@ -1648,7 +1777,8 @@ "All Fuels (Wh/pkm)": 1282.5356315183678, "Unlinked Passenger Trips": 385671, "Passenger Paid Fares": 3732505, - "Average Fare": 9.677950895970918 + "Average Fare": 9.677950895970918, + "Average Passengers": 1.7176566096191068 }, { "NTD ID": 10061, @@ -1660,7 +1790,8 @@ "All Fuels (Wh/pkm)": 1438.5383255310765, "Unlinked Passenger Trips": 537050, "Passenger Paid Fares": 731874, - "Average Fare": 1.3627669676938832 + "Average Fare": 1.3627669676938832, + "Average Passengers": 3.1739014032759245 }, { "NTD ID": 10064, @@ -1672,7 +1803,8 @@ "All Fuels (Wh/pkm)": 2281.4689897315307, "Unlinked Passenger Trips": 317471, "Passenger Paid Fares": 279808, - "Average Fare": 0.88136554204951 + "Average Fare": 0.88136554204951, + "Average Passengers": 0.9183923218656328 }, { "NTD ID": 10064, @@ -1684,7 +1816,8 @@ "All Fuels (Wh/pkm)": 1892.5959318755326, "Unlinked Passenger Trips": 729007, "Passenger Paid Fares": 540501, - "Average Fare": 0.7414208642715365 + "Average Fare": 0.7414208642715365, + "Average Passengers": 2.0331344276064813 }, { "NTD ID": 10066, @@ -1696,7 +1829,8 @@ "All Fuels (Wh/pkm)": 1170.303371705799, "Unlinked Passenger Trips": 177716, "Passenger Paid Fares": 317910, - "Average Fare": 1.7888653807198 + "Average Fare": 1.7888653807198, + "Average Passengers": 6.861716559351958 }, { "NTD ID": 10066, @@ -1708,7 +1842,8 @@ "All Fuels (Wh/pkm)": 3982.0346558115652, "Unlinked Passenger Trips": 47137, "Passenger Paid Fares": 97896, - "Average Fare": 2.0768398497995206 + "Average Fare": 2.0768398497995206, + "Average Passengers": 0.6394907664915154 }, { "NTD ID": 10066, @@ -1720,7 +1855,8 @@ "All Fuels (Wh/pkm)": 996.5176875335816, "Unlinked Passenger Trips": 2079690, "Passenger Paid Fares": 1253517, - "Average Fare": 0.6027422356216552 + "Average Fare": 0.6027422356216552, + "Average Passengers": 4.514883606431766 }, { "NTD ID": 10086, @@ -1732,7 +1868,8 @@ "All Fuels (Wh/pkm)": 3189.879222620264, "Unlinked Passenger Trips": 18472, "Passenger Paid Fares": 60803, - "Average Fare": 3.2916305760069293 + "Average Fare": 3.2916305760069293, + "Average Passengers": 0.5083109524078115 }, { "NTD ID": 10086, @@ -1746,7 +1883,8 @@ "All Fuels (Wh/pkm)": 984.6697254529116, "Unlinked Passenger Trips": 402053, "Passenger Paid Fares": 650429, - "Average Fare": 1.6177692990725103 + "Average Fare": 1.6177692990725103, + "Average Passengers": 4.443452369068012 }, { "NTD ID": 10087, @@ -1758,7 +1896,8 @@ "All Fuels (Wh/pkm)": 2801.524617190608, "Unlinked Passenger Trips": 16270, "Passenger Paid Fares": 31860, - "Average Fare": 1.9582052858020897 + "Average Fare": 1.9582052858020897, + "Average Passengers": 0.7337374710613299 }, { "NTD ID": 10087, @@ -1772,7 +1911,8 @@ "All Fuels (Wh/pkm)": 571.9128267891781, "Unlinked Passenger Trips": 447657, "Passenger Paid Fares": 312961, - "Average Fare": 0.6991089159780814 + "Average Fare": 0.6991089159780814, + "Average Passengers": 4.369163046292833 }, { "NTD ID": 10088, @@ -1784,7 +1924,8 @@ "All Fuels (Wh/pkm)": 1507.675445980576, "Unlinked Passenger Trips": 1111101, "Passenger Paid Fares": 2746384, - "Average Fare": 2.471768093089647 + "Average Fare": 2.471768093089647, + "Average Passengers": 46.71797733217088 }, { "NTD ID": 10098, @@ -1792,7 +1933,8 @@ "UACE Code": "49339", "Unlinked Passenger Trips": 49103, "Passenger Paid Fares": 32285, - "Average Fare": 0.6574954687086328 + "Average Fare": 0.6574954687086328, + "Average Passengers": 0.7167127921279214 }, { "NTD ID": 10098, @@ -1800,7 +1942,8 @@ "UACE Code": "49339", "Unlinked Passenger Trips": 165357, "Passenger Paid Fares": 29557, - "Average Fare": 0.1787465907097976 + "Average Fare": 0.1787465907097976, + "Average Passengers": 1.2319623152109054 }, { "NTD ID": 10102, @@ -1808,7 +1951,8 @@ "UACE Code": "37243", "Unlinked Passenger Trips": 187392, "Passenger Paid Fares": 637296, - "Average Fare": 3.4008709016393444 + "Average Fare": 3.4008709016393444, + "Average Passengers": 6.648636374413849 }, { "NTD ID": 10102, @@ -1816,7 +1960,8 @@ "UACE Code": "37243", "Unlinked Passenger Trips": 720765, "Passenger Paid Fares": 2258611, - "Average Fare": 3.1336302400921245 + "Average Fare": 3.1336302400921245, + "Average Passengers": 33.464294816436464 }, { "NTD ID": 10105, @@ -1828,7 +1973,8 @@ "All Fuels (Wh/pkm)": 1958.9300276482054, "Unlinked Passenger Trips": 457105, "Passenger Paid Fares": 5821584, - "Average Fare": 12.735769680926701 + "Average Fare": 12.735769680926701, + "Average Passengers": 0.9404466372795284 }, { "NTD ID": 10105, @@ -1842,7 +1988,8 @@ "All Fuels (Wh/pkm)": 411.7755539387438, "Unlinked Passenger Trips": 614144, "Passenger Paid Fares": 992344, - "Average Fare": 1.6158164860358484 + "Average Fare": 1.6158164860358484, + "Average Passengers": 5.327019045548442 }, { "NTD ID": 10107, @@ -1854,7 +2001,8 @@ "All Fuels (Wh/pkm)": 3447.2929118807224, "Unlinked Passenger Trips": 48074, "Passenger Paid Fares": 156379, - "Average Fare": 3.25288097516329 + "Average Fare": 3.25288097516329, + "Average Passengers": 0.9661665373772539 }, { "NTD ID": 10107, @@ -1866,7 +2014,8 @@ "All Fuels (Wh/pkm)": 1130.5342977094633, "Unlinked Passenger Trips": 279326, "Passenger Paid Fares": 200562, - "Average Fare": 0.7180212368343799 + "Average Fare": 0.7180212368343799, + "Average Passengers": 4.7149993208367285 }, { "NTD ID": 10118, @@ -1878,7 +2027,8 @@ "All Fuels (Wh/pkm)": 1917.5427323084696, "Unlinked Passenger Trips": 231325, "Passenger Paid Fares": 227895, - "Average Fare": 0.9851723765265319 + "Average Fare": 0.9851723765265319, + "Average Passengers": 0.9922726815688099 }, { "NTD ID": 10118, @@ -1890,7 +2040,8 @@ "All Fuels (Wh/pkm)": 1363.2961482512098, "Unlinked Passenger Trips": 596313, "Passenger Paid Fares": 356020, - "Average Fare": 0.5970354495038679 + "Average Fare": 0.5970354495038679, + "Average Passengers": 2.6536341523479523 }, { "NTD ID": 10128, @@ -1902,7 +2053,8 @@ "All Fuels (Wh/pkm)": 3869.760528397753, "Unlinked Passenger Trips": 99868, "Passenger Paid Fares": 260885, - "Average Fare": 2.6122982336684424 + "Average Fare": 2.6122982336684424, + "Average Passengers": 0.8741486143243111 }, { "NTD ID": 10128, @@ -1914,7 +2066,8 @@ "All Fuels (Wh/pkm)": 1763.8139948731257, "Unlinked Passenger Trips": 2111302, "Passenger Paid Fares": 1798366, - "Average Fare": 0.8517805600525173 + "Average Fare": 0.8517805600525173, + "Average Passengers": 3.2715086822339416 }, { "NTD ID": 10130, @@ -1926,7 +2079,8 @@ "All Fuels (Wh/pkm)": 1294.4169895334292, "Unlinked Passenger Trips": 686105, "Passenger Paid Fares": 480564, - "Average Fare": 0.7004234045809314 + "Average Fare": 0.7004234045809314, + "Average Passengers": 4.591369498250927 }, { "NTD ID": 10183, @@ -1938,7 +2092,8 @@ "All Fuels (Wh/pkm)": 2012.4807767325883, "Unlinked Passenger Trips": 3055347, "Passenger Paid Fares": 32640122, - "Average Fare": 10.682950905412708 + "Average Fare": 10.682950905412708, + "Average Passengers": 105.05555429985705 }, { "NTD ID": 10183, @@ -1948,7 +2103,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 423.2551147877429, "All Fuels (Wh/pkm)": 423.2551147877429, - "Unlinked Passenger Trips": 857386 + "Unlinked Passenger Trips": 857386, + "Average Passengers": 11.019306650182866 }, { "NTD ID": 11147, @@ -1960,7 +2116,8 @@ "All Fuels (Wh/pkm)": 2782.2393359650914, "Unlinked Passenger Trips": 41902, "Passenger Paid Fares": 372864, - "Average Fare": 8.898477399646795 + "Average Fare": 8.898477399646795, + "Average Passengers": 52.65067992396549 }, { "NTD ID": 20002, @@ -1970,7 +2127,8 @@ "Gasoline (Wh/pkm)": 2540.180334381893, "Unlinked Passenger Trips": 127599, "Passenger Paid Fares": 245922, - "Average Fare": 1.927303505513366 + "Average Fare": 1.927303505513366, + "Average Passengers": 0.8310025131570918 }, { "NTD ID": 20002, @@ -1984,7 +2142,8 @@ "All Fuels (Wh/pkm)": 777.5450168170211, "Unlinked Passenger Trips": 15856698, "Passenger Paid Fares": 18988583, - "Average Fare": 1.1975118022680384 + "Average Fare": 1.1975118022680384, + "Average Passengers": 5.947420963556656 }, { "NTD ID": 20003, @@ -1996,7 +2155,8 @@ "All Fuels (Wh/pkm)": 2703.4743263319942, "Unlinked Passenger Trips": 81398, "Passenger Paid Fares": 180421, - "Average Fare": 2.216528661637878 + "Average Fare": 2.216528661637878, + "Average Passengers": 1.14188411235482 }, { "NTD ID": 20003, @@ -2008,7 +2168,8 @@ "All Fuels (Wh/pkm)": 968.9509179591166, "Unlinked Passenger Trips": 1952682, "Passenger Paid Fares": 1604022, - "Average Fare": 0.8214455810009003 + "Average Fare": 0.8214455810009003, + "Average Passengers": 5.595347822660319 }, { "NTD ID": 20004, @@ -2024,7 +2185,8 @@ "All Fuels (Wh/pkm)": 2004.518697259313, "Unlinked Passenger Trips": 205659, "Passenger Paid Fares": 605150, - "Average Fare": 2.9424921836632483 + "Average Fare": 2.9424921836632483, + "Average Passengers": 0.9936132319551487 }, { "NTD ID": 20004, @@ -2036,7 +2198,8 @@ "All Fuels (Wh/pkm)": 171.98395950423478, "Unlinked Passenger Trips": 4518285, "Passenger Paid Fares": 2563348, - "Average Fare": 0.5673276475476868 + "Average Fare": 0.5673276475476868, + "Average Passengers": 33.9380573564759 }, { "NTD ID": 20004, @@ -2050,7 +2213,8 @@ "All Fuels (Wh/pkm)": 563.2359171970887, "Unlinked Passenger Trips": 20434993, "Passenger Paid Fares": 15822715, - "Average Fare": 0.774295102523402 + "Average Fare": 0.774295102523402, + "Average Passengers": 7.046871712141404 }, { "NTD ID": 20006, @@ -2062,7 +2226,8 @@ "All Fuels (Wh/pkm)": 3686.598980761852, "Unlinked Passenger Trips": 7304, "Passenger Paid Fares": 7356, - "Average Fare": 1.007119386637459 + "Average Fare": 1.007119386637459, + "Average Passengers": 0.9615238855091255 }, { "NTD ID": 20006, @@ -2070,7 +2235,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 207876, "Passenger Paid Fares": 349357, - "Average Fare": 1.6806028593969482 + "Average Fare": 1.6806028593969482, + "Average Passengers": 1.326970163309369 }, { "NTD ID": 20008, @@ -2082,7 +2248,8 @@ "All Fuels (Wh/pkm)": 572.3953405200267, "Unlinked Passenger Trips": 12403449, "Passenger Paid Fares": 74061339, - "Average Fare": 5.971027816537158 + "Average Fare": 5.971027816537158, + "Average Passengers": 10.152026087122406 }, { "NTD ID": 20008, @@ -2096,7 +2263,8 @@ "All Fuels (Wh/pkm)": 2656.2470459222745, "Unlinked Passenger Trips": 5086003, "Passenger Paid Fares": 10235744, - "Average Fare": 2.0125320413692247 + "Average Fare": 2.0125320413692247, + "Average Passengers": 0.9122720958114957 }, { "NTD ID": 20008, @@ -2108,7 +2276,8 @@ "All Fuels (Wh/pkm)": 11.568722228658476, "Unlinked Passenger Trips": 2628355851, "Passenger Paid Fares": 3503324236, - "Average Fare": 1.332895709181504 + "Average Fare": 1.332895709181504, + "Average Passengers": 253.35467334298264 }, { "NTD ID": 20008, @@ -2124,7 +2293,8 @@ "All Fuels (Wh/pkm)": 496.42901298553454, "Unlinked Passenger Trips": 691981427, "Passenger Paid Fares": 842210348, - "Average Fare": 1.2170996433405719 + "Average Fare": 1.2170996433405719, + "Average Passengers": 14.982833517193418 }, { "NTD ID": 20008, @@ -2136,7 +2306,8 @@ "All Fuels (Wh/pkm)": 661.709305703441, "Unlinked Passenger Trips": 30275821, "Passenger Paid Fares": 33232652, - "Average Fare": 1.097663115394955 + "Average Fare": 1.097663115394955, + "Average Passengers": 15.925013600953145 }, { "NTD ID": 20010, @@ -2144,7 +2315,8 @@ "UACE Code": "71803", "Unlinked Passenger Trips": 22064, "Passenger Paid Fares": 45485, - "Average Fare": 2.0615029006526466 + "Average Fare": 2.0615029006526466, + "Average Passengers": 0.7174331996458149 }, { "NTD ID": 20010, @@ -2156,7 +2328,8 @@ "All Fuels (Wh/pkm)": 1388.4292251915979, "Unlinked Passenger Trips": 724657, "Passenger Paid Fares": 715323, - "Average Fare": 0.9871194233961723 + "Average Fare": 0.9871194233961723, + "Average Passengers": 3.074002417315489 }, { "NTD ID": 20018, @@ -2166,7 +2339,8 @@ "Diesel (Wh/pkm)": 4942.24554735985, "Unlinked Passenger Trips": 181100, "Passenger Paid Fares": 405350, - "Average Fare": 2.2382661512976254 + "Average Fare": 2.2382661512976254, + "Average Passengers": 0.7451799008660906 }, { "NTD ID": 20018, @@ -2180,7 +2354,8 @@ "All Fuels (Wh/pkm)": 502.91546396169565, "Unlinked Passenger Trips": 10215668, "Passenger Paid Fares": 7361746, - "Average Fare": 0.7206328553355493 + "Average Fare": 0.7206328553355493, + "Average Passengers": 6.382930902585356 }, { "NTD ID": 20071, @@ -2194,7 +2369,8 @@ "All Fuels (Wh/pkm)": 2750.8826109818733, "Unlinked Passenger Trips": 48424, "Passenger Paid Fares": 129470, - "Average Fare": 2.6736742111349745 + "Average Fare": 2.6736742111349745, + "Average Passengers": 1.1403924148550855 }, { "NTD ID": 20071, @@ -2202,7 +2378,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 113869, "Passenger Paid Fares": 133435, - "Average Fare": 1.1718290316064952 + "Average Fare": 1.1718290316064952, + "Average Passengers": 1.2396793853982782 }, { "NTD ID": 20072, @@ -2214,7 +2391,8 @@ "All Fuels (Wh/pkm)": 3108.3802862976527, "Unlinked Passenger Trips": 723474, "Passenger Paid Fares": 2266119, - "Average Fare": 3.132274276615331 + "Average Fare": 3.132274276615331, + "Average Passengers": 0.8911131544785807 }, { "NTD ID": 20072, @@ -2228,7 +2406,8 @@ "All Fuels (Wh/pkm)": 1254.494867755452, "Unlinked Passenger Trips": 3913543, "Passenger Paid Fares": 6043836, - "Average Fare": 1.5443387232489845 + "Average Fare": 1.5443387232489845, + "Average Passengers": 3.580435909575903 }, { "NTD ID": 20075, @@ -2240,7 +2419,8 @@ "All Fuels (Wh/pkm)": 59.81704717162488, "Unlinked Passenger Trips": 10789374, "Passenger Paid Fares": 26352488, - "Average Fare": 2.4424482829124283 + "Average Fare": 2.4424482829124283, + "Average Passengers": 93.86444859347046 }, { "NTD ID": 20076, @@ -2254,7 +2434,8 @@ "All Fuels (Wh/pkm)": 2382.326745611077, "Unlinked Passenger Trips": 296314, "Passenger Paid Fares": 1292495, - "Average Fare": 4.361910000877447 + "Average Fare": 4.361910000877447, + "Average Passengers": 0.7703103633740968 }, { "NTD ID": 20076, @@ -2266,7 +2447,8 @@ "All Fuels (Wh/pkm)": 619.9221900000455, "Unlinked Passenger Trips": 27373023, "Passenger Paid Fares": 46543469, - "Average Fare": 1.700340842880233 + "Average Fare": 1.700340842880233, + "Average Passengers": 11.707972502481534 }, { "NTD ID": 20078, @@ -2279,7 +2461,8 @@ "All Fuels (Wh/pkm)": 37.45597454339279, "Unlinked Passenger Trips": 91873366, "Passenger Paid Fares": 740271044, - "Average Fare": 8.05751521066508 + "Average Fare": 8.05751521066508, + "Average Passengers": 202.98538519595834 }, { "NTD ID": 20078, @@ -2291,7 +2474,8 @@ "All Fuels (Wh/pkm)": 6352.981455222854, "Unlinked Passenger Trips": 164524, "Passenger Paid Fares": 240153, - "Average Fare": 1.4596836935644648 + "Average Fare": 1.4596836935644648, + "Average Passengers": 15.641594558326776 }, { "NTD ID": 20078, @@ -2299,7 +2483,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 399621, "Passenger Paid Fares": 604607, - "Average Fare": 1.512951021092485 + "Average Fare": 1.512951021092485, + "Average Passengers": 1.8517260172311831 }, { "NTD ID": 20080, @@ -2314,7 +2499,8 @@ "All Fuels (Wh/pkm)": 169.78094769138409, "Unlinked Passenger Trips": 87059367, "Passenger Paid Fares": 561748246, - "Average Fare": 6.452473356485581 + "Average Fare": 6.452473356485581, + "Average Passengers": 222.67362093553746 }, { "NTD ID": 20080, @@ -2328,7 +2514,8 @@ "All Fuels (Wh/pkm)": 4358.414166539256, "Unlinked Passenger Trips": 1635781, "Passenger Paid Fares": 2965134, - "Average Fare": 1.8126717451786027 + "Average Fare": 1.8126717451786027, + "Average Passengers": 0.543135864660058 }, { "NTD ID": 20080, @@ -2340,7 +2527,8 @@ "All Fuels (Wh/pkm)": 187.71068704854736, "Unlinked Passenger Trips": 20957531, "Passenger Paid Fares": 20184859, - "Average Fare": 0.9631315349121994 + "Average Fare": 0.9631315349121994, + "Average Passengers": 40.39449921539291 }, { "NTD ID": 20080, @@ -2354,7 +2542,8 @@ "All Fuels (Wh/pkm)": 515.1284210844894, "Unlinked Passenger Trips": 151640635, "Passenger Paid Fares": 385423446, - "Average Fare": 2.54168973903334 + "Average Fare": 2.54168973903334, + "Average Passengers": 10.712517554927466 }, { "NTD ID": 20080, @@ -2366,7 +2555,8 @@ "All Fuels (Wh/pkm)": 239.8791776476254, "Unlinked Passenger Trips": 677560, "Passenger Paid Fares": 1903621, - "Average Fare": 2.8095238798040025 + "Average Fare": 2.8095238798040025, + "Average Passengers": 5.919369028035297 }, { "NTD ID": 20080, @@ -2378,7 +2568,8 @@ "All Fuels (Wh/pkm)": 326.9990342721836, "Unlinked Passenger Trips": 2700645, "Passenger Paid Fares": 2302804, - "Average Fare": 0.8526866729984874 + "Average Fare": 0.8526866729984874, + "Average Passengers": 37.9669630615471 }, { "NTD ID": 20082, @@ -2388,7 +2579,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 845.9331933816985, "All Fuels (Wh/pkm)": 845.9331933816985, - "Unlinked Passenger Trips": 24495848 + "Unlinked Passenger Trips": 24495848, + "Average Passengers": 608.290242784283 }, { "NTD ID": 20084, @@ -2402,7 +2594,8 @@ "All Fuels (Wh/pkm)": 2825.3990678603946, "Unlinked Passenger Trips": 54966, "Passenger Paid Fares": 112612, - "Average Fare": 2.0487574136739073 + "Average Fare": 2.0487574136739073, + "Average Passengers": 0.8613246101123391 }, { "NTD ID": 20084, @@ -2416,7 +2609,8 @@ "All Fuels (Wh/pkm)": 1066.4356930040728, "Unlinked Passenger Trips": 2046349, "Passenger Paid Fares": 3021883, - "Average Fare": 1.4767192692937519 + "Average Fare": 1.4767192692937519, + "Average Passengers": 5.5674876907087745 }, { "NTD ID": 20096, @@ -2428,7 +2622,8 @@ "All Fuels (Wh/pkm)": 3618.1182145247085, "Unlinked Passenger Trips": 15100, "Passenger Paid Fares": 48474, - "Average Fare": 3.210198675496689 + "Average Fare": 3.210198675496689, + "Average Passengers": 0.8700120470233574 }, { "NTD ID": 20096, @@ -2442,7 +2637,8 @@ "All Fuels (Wh/pkm)": 1935.9916518047858, "Unlinked Passenger Trips": 105611, "Passenger Paid Fares": 165850, - "Average Fare": 1.5703856605845983 + "Average Fare": 1.5703856605845983, + "Average Passengers": 1.6177122415147023 }, { "NTD ID": 20098, @@ -2454,7 +2650,8 @@ "All Fuels (Wh/pkm)": 4216.628630919313, "Unlinked Passenger Trips": 1371821, "Passenger Paid Fares": 8946645, - "Average Fare": 6.521729146878492 + "Average Fare": 6.521729146878492, + "Average Passengers": 19.0977460977461 }, { "NTD ID": 20098, @@ -2466,7 +2663,8 @@ "All Fuels (Wh/pkm)": 18.56685324594464, "Unlinked Passenger Trips": 89664393, "Passenger Paid Fares": 190468604, - "Average Fare": 2.1242390387899017 + "Average Fare": 2.1242390387899017, + "Average Passengers": 251.35266921105932 }, { "NTD ID": 20099, @@ -2478,7 +2676,8 @@ "All Fuels (Wh/pkm)": 79.90666651295716, "Unlinked Passenger Trips": 8129661, "Passenger Paid Fares": 8651127, - "Average Fare": 1.0641436340334487 + "Average Fare": 1.0641436340334487, + "Average Passengers": 69.60700631084154 }, { "NTD ID": 20100, @@ -2493,7 +2692,8 @@ "All Fuels (Wh/pkm)": 15.8422565961102, "Unlinked Passenger Trips": 105538101, "Passenger Paid Fares": 740646842, - "Average Fare": 7.017814751091646 + "Average Fare": 7.017814751091646, + "Average Passengers": 393.09769244690006 }, { "NTD ID": 20113, @@ -2505,7 +2705,8 @@ "All Fuels (Wh/pkm)": 4012.2752196307715, "Unlinked Passenger Trips": 214900, "Passenger Paid Fares": 410490, - "Average Fare": 1.9101442531409958 + "Average Fare": 1.9101442531409958, + "Average Passengers": 0.7515463367936345 }, { "NTD ID": 20113, @@ -2517,7 +2718,8 @@ "All Fuels (Wh/pkm)": 684.7002900152536, "Unlinked Passenger Trips": 14873569, "Passenger Paid Fares": 21882941, - "Average Fare": 1.4712636220667683 + "Average Fare": 1.4712636220667683, + "Average Passengers": 8.656481146993734 }, { "NTD ID": 20113, @@ -2529,7 +2731,8 @@ "All Fuels (Wh/pkm)": 215.61282942800307, "Unlinked Passenger Trips": 5320, "Passenger Paid Fares": 26964, - "Average Fare": 5.068421052631579 + "Average Fare": 5.068421052631579, + "Average Passengers": 4.96825650448723 }, { "NTD ID": 20122, @@ -2541,7 +2744,8 @@ "All Fuels (Wh/pkm)": 275.12851018286966, "Unlinked Passenger Trips": 3281863, "Passenger Paid Fares": 37421476, - "Average Fare": 11.402510098684802 + "Average Fare": 11.402510098684802, + "Average Passengers": 15.0026561678602 }, { "NTD ID": 20126, @@ -2553,7 +2757,8 @@ "All Fuels (Wh/pkm)": 248.70325893488197, "Unlinked Passenger Trips": 4309984, "Passenger Paid Fares": 48095271, - "Average Fare": 11.159037017306792 + "Average Fare": 11.159037017306792, + "Average Passengers": 19.155836077702613 }, { "NTD ID": 20128, @@ -2565,7 +2770,8 @@ "All Fuels (Wh/pkm)": 243.67994799952035, "Unlinked Passenger Trips": 2469185, "Passenger Paid Fares": 27608437, - "Average Fare": 11.18119419970557 + "Average Fare": 11.18119419970557, + "Average Passengers": 17.839181811337344 }, { "NTD ID": 20135, @@ -2577,7 +2783,8 @@ "All Fuels (Wh/pkm)": 320.68277793006024, "Unlinked Passenger Trips": 615949, "Passenger Paid Fares": 4031524, - "Average Fare": 6.545223711703404 + "Average Fare": 6.545223711703404, + "Average Passengers": 21.9393378642654 }, { "NTD ID": 20137, @@ -2589,7 +2796,8 @@ "All Fuels (Wh/pkm)": 182.1768890103264, "Unlinked Passenger Trips": 308378, "Passenger Paid Fares": 2477091, - "Average Fare": 8.032645000616126 + "Average Fare": 8.032645000616126, + "Average Passengers": 25.83458781362007 }, { "NTD ID": 20145, @@ -2601,7 +2809,8 @@ "All Fuels (Wh/pkm)": 2358.1904985925994, "Unlinked Passenger Trips": 53460, "Passenger Paid Fares": 66202, - "Average Fare": 1.2383464272353162 + "Average Fare": 1.2383464272353162, + "Average Passengers": 1.1733249397741556 }, { "NTD ID": 20145, @@ -2615,7 +2824,8 @@ "All Fuels (Wh/pkm)": 1156.0721629229163, "Unlinked Passenger Trips": 4169977, "Passenger Paid Fares": 1267479, - "Average Fare": 0.30395347504314774 + "Average Fare": 0.30395347504314774, + "Average Passengers": 6.802615590397648 }, { "NTD ID": 20149, @@ -2627,7 +2837,8 @@ "All Fuels (Wh/pkm)": 361.70100072415113, "Unlinked Passenger Trips": 1996805, "Passenger Paid Fares": 14525870, - "Average Fare": 7.274556103375142 + "Average Fare": 7.274556103375142, + "Average Passengers": 14.217851105113827 }, { "NTD ID": 20161, @@ -2639,7 +2850,8 @@ "All Fuels (Wh/pkm)": 355.41235337395716, "Unlinked Passenger Trips": 1843456, "Passenger Paid Fares": 12880779, - "Average Fare": 6.9872993985210385 + "Average Fare": 6.9872993985210385, + "Average Passengers": 14.838620389882323 }, { "NTD ID": 20163, @@ -2651,7 +2863,8 @@ "All Fuels (Wh/pkm)": 309.7354916762089, "Unlinked Passenger Trips": 1624066, "Passenger Paid Fares": 16947549, - "Average Fare": 10.435258788743807 + "Average Fare": 10.435258788743807, + "Average Passengers": 15.785252446599957 }, { "NTD ID": 20166, @@ -2663,7 +2876,8 @@ "All Fuels (Wh/pkm)": 613.33469872452, "Unlinked Passenger Trips": 6810464, "Passenger Paid Fares": 12294675, - "Average Fare": 1.8052624608249892 + "Average Fare": 1.8052624608249892, + "Average Passengers": 10.514442174910089 }, { "NTD ID": 20169, @@ -2675,7 +2889,8 @@ "All Fuels (Wh/pkm)": 211.4944570684321, "Unlinked Passenger Trips": 1120022, "Passenger Paid Fares": 22989871, - "Average Fare": 20.526267341177228 + "Average Fare": 20.526267341177228, + "Average Passengers": 20.165141011642763 }, { "NTD ID": 20177, @@ -2687,7 +2902,8 @@ "All Fuels (Wh/pkm)": 148.8115621439441, "Unlinked Passenger Trips": 527799, "Passenger Paid Fares": 12371264, - "Average Fare": 23.43934717572409 + "Average Fare": 23.43934717572409, + "Average Passengers": 14.856043246889984 }, { "NTD ID": 20178, @@ -2699,7 +2915,8 @@ "All Fuels (Wh/pkm)": 4465.270434088991, "Unlinked Passenger Trips": 10042, "Passenger Paid Fares": 16284, - "Average Fare": 1.62158932483569 + "Average Fare": 1.62158932483569, + "Average Passengers": 0.6485122745160641 }, { "NTD ID": 20178, @@ -2713,7 +2930,8 @@ "All Fuels (Wh/pkm)": 1009.132282603587, "Unlinked Passenger Trips": 366862, "Passenger Paid Fares": 394378, - "Average Fare": 1.0750036798578213 + "Average Fare": 1.0750036798578213, + "Average Passengers": 3.6076883155397392 }, { "NTD ID": 20188, @@ -2727,7 +2945,8 @@ "All Fuels (Wh/pkm)": 676.840225586729, "Unlinked Passenger Trips": 137618503, "Passenger Paid Fares": 220887114, - "Average Fare": 1.605068426009546 + "Average Fare": 1.605068426009546, + "Average Passengers": 10.324186985982095 }, { "NTD ID": 20189, @@ -2739,7 +2958,8 @@ "All Fuels (Wh/pkm)": 4975.673784076615, "Unlinked Passenger Trips": 1914658, "Passenger Paid Fares": 10762716, - "Average Fare": 5.621221126697301 + "Average Fare": 5.621221126697301, + "Average Passengers": 11.939992057442625 }, { "NTD ID": 20190, @@ -2751,7 +2971,8 @@ "All Fuels (Wh/pkm)": 2670.360073754362, "Unlinked Passenger Trips": 4651259, "Passenger Paid Fares": 43288189, - "Average Fare": 9.306768124501344 + "Average Fare": 9.306768124501344, + "Average Passengers": 43.3204958478758 }, { "NTD ID": 20190, @@ -2763,7 +2984,8 @@ "All Fuels (Wh/pkm)": 934.8252383616215, "Unlinked Passenger Trips": 3373163, "Passenger Paid Fares": 1431015, - "Average Fare": 0.4242353541764807 + "Average Fare": 0.4242353541764807, + "Average Passengers": 7.560110170198834 }, { "NTD ID": 20192, @@ -2773,7 +2995,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2114.067320584634, "All Fuels (Wh/pkm)": 2114.067320584634, - "Unlinked Passenger Trips": 230255 + "Unlinked Passenger Trips": 230255, + "Average Passengers": 1.3840883795380448 }, { "NTD ID": 20192, @@ -2783,7 +3006,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 803.7024569215943, "All Fuels (Wh/pkm)": 813.0063875954155, - "Unlinked Passenger Trips": 25335 + "Unlinked Passenger Trips": 25335, + "Average Passengers": 3.479531981764715 }, { "NTD ID": 20193, @@ -2795,7 +3019,8 @@ "Gasoline (Wh/pkm)": 3013.812940845825, "Diesel (Wh/pkm)": 4090.48614899233, "All Fuels (Wh/pkm)": 3019.2299038455626, - "Unlinked Passenger Trips": 77972 + "Unlinked Passenger Trips": 77972, + "Average Passengers": 0.8671471614249876 }, { "NTD ID": 20196, @@ -2809,7 +3034,8 @@ "All Fuels (Wh/pkm)": 1243.205516513277, "Unlinked Passenger Trips": 50181, "Passenger Paid Fares": 118509, - "Average Fare": 2.3616308961559156 + "Average Fare": 2.3616308961559156, + "Average Passengers": 2.3399996074814045 }, { "NTD ID": 20196, @@ -2823,7 +3049,8 @@ "All Fuels (Wh/pkm)": 617.3992537981705, "Unlinked Passenger Trips": 217751, "Passenger Paid Fares": 56972, - "Average Fare": 0.26163829327993904 + "Average Fare": 0.26163829327993904, + "Average Passengers": 5.26999930708334 }, { "NTD ID": 20199, @@ -2835,7 +3062,8 @@ "Gasoline (Wh/pkm)": 2527.071610832707, "Diesel (Wh/pkm)": 3303.893398940727, "All Fuels (Wh/pkm)": 2561.5346104413193, - "Unlinked Passenger Trips": 118612 + "Unlinked Passenger Trips": 118612, + "Average Passengers": 1.2356039240228551 }, { "NTD ID": 20204, @@ -2849,7 +3077,8 @@ "All Fuels (Wh/pkm)": 3207.780044896276, "Unlinked Passenger Trips": 149129, "Passenger Paid Fares": 9690, - "Average Fare": 0.06497730153088936 + "Average Fare": 0.06497730153088936, + "Average Passengers": 0.8604314250760384 }, { "NTD ID": 20206, @@ -2863,7 +3092,8 @@ "All Fuels (Wh/pkm)": 2071.0767046078067, "Unlinked Passenger Trips": 332131, "Passenger Paid Fares": 1133284, - "Average Fare": 3.412159659893235 + "Average Fare": 3.412159659893235, + "Average Passengers": 0.8947322331899357 }, { "NTD ID": 20206, @@ -2877,7 +3107,8 @@ "All Fuels (Wh/pkm)": 169.49094389167817, "Unlinked Passenger Trips": 22980391, "Passenger Paid Fares": 40195813, - "Average Fare": 1.7491352953916233 + "Average Fare": 1.7491352953916233, + "Average Passengers": 13.105960781525976 }, { "NTD ID": 20209, @@ -2891,7 +3122,8 @@ "All Fuels (Wh/pkm)": 2085.0735721683973, "Unlinked Passenger Trips": 292638, "Passenger Paid Fares": 857035, - "Average Fare": 2.9286524648200167 + "Average Fare": 2.9286524648200167, + "Average Passengers": 1.3596453291372637 }, { "NTD ID": 20209, @@ -2905,7 +3137,8 @@ "All Fuels (Wh/pkm)": 1527.4903668705556, "Unlinked Passenger Trips": 72370, "Passenger Paid Fares": 147180, - "Average Fare": 2.0337156280226614 + "Average Fare": 2.0337156280226614, + "Average Passengers": 2.2616902112839425 }, { "NTD ID": 20217, @@ -2917,7 +3150,8 @@ "All Fuels (Wh/pkm)": 158.44422829462837, "Unlinked Passenger Trips": 795411, "Passenger Paid Fares": 23344416, - "Average Fare": 29.348872469704343 + "Average Fare": 29.348872469704343, + "Average Passengers": 22.231380209588632 }, { "NTD ID": 22930, @@ -2929,7 +3163,8 @@ "All Fuels (Wh/pkm)": 2211.5867207403853, "Unlinked Passenger Trips": 4101874, "Passenger Paid Fares": 10285229, - "Average Fare": 2.507446352569582 + "Average Fare": 2.507446352569582, + "Average Passengers": 35.18404844028351 }, { "NTD ID": 30001, @@ -2941,7 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Passengers": 5.20297115406601 }, { "NTD ID": 30006, @@ -2991,7 +3230,8 @@ "All Fuels (Wh/pkm)": 996.5464519525326, "Unlinked Passenger Trips": 334077, "Passenger Paid Fares": 759382, - "Average Fare": 2.273074770187711 + "Average Fare": 2.273074770187711, + "Average Passengers": 1.0 }, { "NTD ID": 30006, @@ -3005,7 +3245,8 @@ "All Fuels (Wh/pkm)": 540.6489043753699, "Unlinked Passenger Trips": 7337381, "Passenger Paid Fares": 6999893, - "Average Fare": 0.9540042966284564 + "Average Fare": 0.9540042966284564, + "Average Passengers": 6.737117720428036 }, { "NTD ID": 30006, @@ -3013,7 +3254,8 @@ "UACE Code": "74746", "Unlinked Passenger Trips": 56952, "Passenger Paid Fares": 14278, - "Average Fare": 0.2507023458350892 + "Average Fare": 0.2507023458350892, + "Average Passengers": 15.97283352637675 }, { "NTD ID": 30006, @@ -3025,7 +3267,8 @@ "All Fuels (Wh/pkm)": 202.5069973380053, "Unlinked Passenger Trips": 397994, "Passenger Paid Fares": 2040266, - "Average Fare": 5.126373764428609 + "Average Fare": 5.126373764428609, + "Average Passengers": 6.186655759684804 }, { "NTD ID": 30007, @@ -3037,7 +3280,8 @@ "All Fuels (Wh/pkm)": 3159.4528721004367, "Unlinked Passenger Trips": 82962, "Passenger Paid Fares": 229017, - "Average Fare": 2.7605048094308238 + "Average Fare": 2.7605048094308238, + "Average Passengers": 0.980138060030433 }, { "NTD ID": 30007, @@ -3049,7 +3293,8 @@ "All Fuels (Wh/pkm)": 869.4271488764867, "Unlinked Passenger Trips": 1983028, "Passenger Paid Fares": 1751754, - "Average Fare": 0.8833733058736437 + "Average Fare": 0.8833733058736437, + "Average Passengers": 6.526391571940616 }, { "NTD ID": 30008, @@ -3061,7 +3306,8 @@ "All Fuels (Wh/pkm)": 4758.710350018985, "Unlinked Passenger Trips": 22326, "Passenger Paid Fares": 57120, - "Average Fare": 2.5584520290244557 + "Average Fare": 2.5584520290244557, + "Average Passengers": 0.8209608784468697 }, { "NTD ID": 30008, @@ -3073,7 +3319,8 @@ "All Fuels (Wh/pkm)": 599.5283434963884, "Unlinked Passenger Trips": 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1.1703114872220859, + "Average Passengers": 13.630737316953214 }, { "NTD ID": 30022, @@ -3317,7 +3582,8 @@ "All Fuels (Wh/pkm)": 2361.0569411796623, "Unlinked Passenger Trips": 1464260, "Passenger Paid Fares": 1460156, - "Average Fare": 0.9971972190731154 + "Average Fare": 0.9971972190731154, + "Average Passengers": 1.1218158733200776 }, { "NTD ID": 30022, @@ -3329,7 +3595,8 @@ "All Fuels (Wh/pkm)": 1975.725109724812, "Unlinked Passenger Trips": 610433, "Passenger Paid Fares": 625150, - "Average Fare": 1.0241091159881592 + "Average Fare": 1.0241091159881592, + "Average Passengers": 4.890511449334978 }, { "NTD ID": 30022, @@ -3337,7 +3604,8 @@ "UACE Code": "69697", "Unlinked Passenger Trips": 7655539, "Passenger Paid Fares": 9393519, - "Average Fare": 1.2270225519065345 + "Average Fare": 1.2270225519065345, + "Average Passengers": 19.51515856975741 }, { "NTD ID": 30022, @@ -3349,7 +3617,8 @@ "All Fuels (Wh/pkm)": 720.5116428942422, "Unlinked Passenger Trips": 53733622, "Passenger Paid 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"NTD ID": 30027, @@ -3457,7 +3733,8 @@ "All Fuels (Wh/pkm)": 2247.262779742318, "Unlinked Passenger Trips": 638283, "Passenger Paid Fares": 542168, - "Average Fare": 0.8494163247336997 + "Average Fare": 0.8494163247336997, + "Average Passengers": 1.1388060734606527 }, { "NTD ID": 30027, @@ -3473,7 +3750,8 @@ "All Fuels (Wh/pkm)": 894.3594481167003, "Unlinked Passenger Trips": 1550604, "Passenger Paid Fares": 1098139, - "Average Fare": 0.7082008043317314 + "Average Fare": 0.7082008043317314, + "Average Passengers": 4.327705047289957 }, { "NTD ID": 30030, @@ -3485,7 +3763,8 @@ "All Fuels (Wh/pkm)": 2275.9801128822614, "Unlinked Passenger Trips": 2261107, "Passenger Paid Fares": 9041285, - "Average Fare": 3.9986099729026536 + "Average Fare": 3.9986099729026536, + "Average Passengers": 1.0144706614352232 }, { "NTD ID": 30030, @@ -3497,7 +3776,8 @@ "All Fuels (Wh/pkm)": 39.5881401830801, "Unlinked Passenger Trips": 229233254, "Passenger Paid Fares": 536496025, - "Average Fare": 2.340393532083264 + "Average Fare": 2.340393532083264, + "Average Passengers": 104.13184086974796 }, { "NTD ID": 30030, @@ -3513,7 +3793,8 @@ "All Fuels (Wh/pkm)": 590.1655453292956, "Unlinked Passenger Trips": 119681096, "Passenger Paid Fares": 123209808, - "Average Fare": 1.0294842888136653 + "Average Fare": 1.0294842888136653, + "Average Passengers": 7.544740992024 }, { "NTD ID": 30034, @@ -3521,7 +3802,8 @@ "UACE Code": "04843", "Unlinked Passenger Trips": 3819821, "Passenger Paid Fares": 20089000, - "Average Fare": 5.259146960027708 + "Average Fare": 5.259146960027708, + "Average Passengers": 7.6649264270051365 }, { "NTD ID": 30034, @@ -3535,7 +3817,8 @@ "All Fuels (Wh/pkm)": 30.11324448172411, "Unlinked Passenger Trips": 9326683, "Passenger Paid Fares": 52484000, - "Average Fare": 5.627295363206834 + "Average Fare": 5.627295363206834, + "Average Passengers": 437.34231381028127 }, { "NTD ID": 30034, @@ -3547,7 +3830,8 @@ "All Fuels (Wh/pkm)": 2926.175840029923, "Unlinked Passenger 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"Average Fare": 2.843789152024446 + "Average Fare": 2.843789152024446, + "Average Passengers": 0.7434110985576765 }, { "NTD ID": 30054, @@ -3689,7 +3984,8 @@ "All Fuels (Wh/pkm)": 195.51420052053092, "Unlinked Passenger Trips": 6504972, "Passenger Paid Fares": 6913101, - "Average Fare": 1.0627410848194274 + "Average Fare": 1.0627410848194274, + "Average Passengers": 8.514542296144546 }, { "NTD ID": 30054, @@ -3703,7 +3999,8 @@ "All Fuels (Wh/pkm)": 188.1596111338011, "Unlinked Passenger Trips": 164480, "Passenger Paid Fares": 332874, - "Average Fare": 2.023796206225681 + "Average Fare": 2.023796206225681, + "Average Passengers": 8.079163838549379 }, { "NTD ID": 30058, @@ -3715,7 +4012,8 @@ "All Fuels (Wh/pkm)": 983.5038498049679, "Unlinked Passenger Trips": 605388, "Passenger Paid Fares": 428102, - "Average Fare": 0.707153098508725 + "Average Fare": 0.707153098508725, + "Average Passengers": 4.533048103301276 }, { "NTD ID": 30068, @@ -3727,7 +4025,8 @@ "All Fuels (Wh/pkm)": 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5.832260189475615 }, { "NTD ID": 30071, @@ -3771,7 +4073,8 @@ "All Fuels (Wh/pkm)": 1622.6005514998096, "Unlinked Passenger Trips": 3873488, "Passenger Paid Fares": 3303984, - "Average Fare": 0.8529738571540689 + "Average Fare": 0.8529738571540689, + "Average Passengers": 3.5843379599278715 }, { "NTD ID": 30072, @@ -3785,7 +4088,8 @@ "All Fuels (Wh/pkm)": 2744.916807825705, "Unlinked Passenger Trips": 41585, "Passenger Paid Fares": 56874, - "Average Fare": 1.3676566069496212 + "Average Fare": 1.3676566069496212, + "Average Passengers": 0.7740878976381936 }, { "NTD ID": 30072, @@ -3801,7 +4105,8 @@ "All Fuels (Wh/pkm)": 1406.1833978742509, "Unlinked Passenger Trips": 566687, "Passenger Paid Fares": 564005, - "Average Fare": 0.9952672286465015 + "Average Fare": 0.9952672286465015, + "Average Passengers": 3.8683918569518982 }, { "NTD ID": 30073, @@ -3813,7 +4118,8 @@ "All Fuels (Wh/pkm)": 295.16031937691946, "Unlinked Passenger Trips": 4631909, "Passenger Paid Fares": 42221002, - "Average Fare": 9.115248594046212 + "Average Fare": 9.115248594046212, + "Average Passengers": 351.2449688991001 }, { "NTD ID": 30075, @@ -3827,7 +4133,8 @@ "All Fuels (Wh/pkm)": 2256.0974768233764, "Unlinked Passenger Trips": 926884, "Passenger Paid Fares": 2773868, - "Average Fare": 2.992680853267507 + "Average Fare": 2.992680853267507, + "Average Passengers": 1.1946873332001662 }, { "NTD ID": 30075, @@ -3841,7 +4148,8 @@ "All Fuels (Wh/pkm)": 1412.2289778001812, "Unlinked Passenger Trips": 7170059, "Passenger Paid Fares": 8174661, - "Average Fare": 1.140110702017933 + "Average Fare": 1.140110702017933, + "Average Passengers": 3.9397281847995647 }, { "NTD ID": 30076, @@ -3855,7 +4163,8 @@ "All Fuels (Wh/pkm)": 3432.947867510422, "Unlinked Passenger Trips": 9761, "Passenger Paid Fares": 32309, - "Average Fare": 3.3100092203667657 + "Average Fare": 3.3100092203667657, + "Average Passengers": 0.8455159843720392 }, { "NTD ID": 30076, @@ -3869,7 +4178,8 @@ "All Fuels (Wh/pkm)": 917.9091497468819, "Unlinked Passenger Trips": 2185354, "Passenger Paid Fares": 649939, - "Average Fare": 0.29740673593385786 + "Average Fare": 0.29740673593385786, + "Average Passengers": 4.191879925341392 }, { "NTD ID": 30078, @@ -3881,7 +4191,8 @@ "All Fuels (Wh/pkm)": 261.65074392952386, "Unlinked Passenger Trips": 174278, "Passenger Paid Fares": 620939, - "Average Fare": 3.5629224572235163 + "Average Fare": 3.5629224572235163, + "Average Passengers": 6.708940664475526 }, { "NTD ID": 30080, @@ -3893,7 +4204,8 @@ "All Fuels (Wh/pkm)": 1589.8870137402287, "Unlinked Passenger Trips": 42627, "Passenger Paid Fares": 169894, - "Average Fare": 3.9855959837661574 + "Average Fare": 3.9855959837661574, + "Average Passengers": 0.9086346025967224 }, { "NTD ID": 30080, @@ -3905,7 +4217,8 @@ "All Fuels (Wh/pkm)": 526.0761139612146, "Unlinked Passenger Trips": 2994223, "Passenger Paid Fares": 3921970, - "Average Fare": 1.3098456594582302 + "Average Fare": 1.3098456594582302, + "Average Passengers": 3.2341988734587988 }, { "NTD ID": 30081, @@ -3917,7 +4230,8 @@ "All Fuels (Wh/pkm)": 579.5788147095427, "Unlinked Passenger Trips": 1305779, "Passenger Paid Fares": 8996270, - "Average Fare": 6.889580855565911 + "Average Fare": 6.889580855565911, + "Average Passengers": 8.972875518063812 }, { "NTD ID": 30081, @@ -3925,7 +4239,8 @@ "UACE Code": "92242", "Unlinked Passenger Trips": 13267, "Passenger Paid Fares": 24688, - "Average Fare": 1.860857767392779 + "Average Fare": 1.860857767392779, + "Average Passengers": 0.5261998231104629 }, { "NTD ID": 30081, @@ -3939,7 +4254,8 @@ "All Fuels (Wh/pkm)": 781.440432735122, "Unlinked Passenger Trips": 384500, "Passenger Paid Fares": 235991, - "Average Fare": 0.6137607282184655 + "Average Fare": 0.6137607282184655, + "Average Passengers": 1.887158175942647 }, { "NTD ID": 30083, @@ -3951,7 +4267,8 @@ "All Fuels (Wh/pkm)": 3135.576502703887, "Unlinked Passenger Trips": 355089, "Passenger Paid Fares": 1040203, - "Average Fare": 2.9294148790866514 + "Average Fare": 2.9294148790866514, + "Average Passengers": 0.8736900999339127 }, { "NTD ID": 30083, @@ -3963,7 +4280,8 @@ "All Fuels (Wh/pkm)": 3834.7672741013816, "Unlinked Passenger Trips": 327661, "Passenger Paid Fares": 355533, - "Average Fare": 1.0850635260223218 + "Average Fare": 1.0850635260223218, + "Average Passengers": 12.478828398599171 }, { "NTD ID": 30083, @@ -3971,7 +4289,8 @@ "UACE Code": "90892", "Unlinked Passenger Trips": 1417350, "Passenger Paid Fares": 1566824, - "Average Fare": 1.1054601897908067 + "Average Fare": 1.1054601897908067, + "Average Passengers": 12.711593026402259 }, { "NTD ID": 30083, @@ -3983,7 +4302,8 @@ "All Fuels (Wh/pkm)": 905.1252507564751, "Unlinked Passenger Trips": 11644377, "Passenger Paid Fares": 12610244, - "Average Fare": 1.0829470739396363 + "Average Fare": 1.0829470739396363, + "Average Passengers": 5.885886837103608 }, { "NTD ID": 30083, @@ -3995,7 +4315,8 @@ "All Fuels (Wh/pkm)": 203.77409481258283, "Unlinked Passenger Trips": 122273, "Passenger Paid Fares": 518451, - "Average Fare": 4.24011024510726 + "Average Fare": 4.24011024510726, + "Average Passengers": 6.16422075665958 }, { "NTD ID": 30085, @@ -4011,7 +4332,8 @@ "All Fuels (Wh/pkm)": 3398.2469461819537, "Unlinked Passenger Trips": 96107, "Passenger Paid Fares": 166, - "Average Fare": 0.001727241512064678 + "Average Fare": 0.001727241512064678, + "Average Passengers": 0.749449791218073 }, { "NTD ID": 30085, @@ -4023,7 +4345,8 @@ "All Fuels (Wh/pkm)": 919.6341644248266, "Unlinked Passenger Trips": 2788801, "Passenger Paid Fares": 1464050, - "Average Fare": 0.5249747113544495 + "Average Fare": 0.5249747113544495, + "Average Passengers": 6.430266179381313 }, { "NTD ID": 30088, @@ -4035,7 +4358,8 @@ "All Fuels (Wh/pkm)": 2550.3232442167473, "Unlinked Passenger Trips": 42092, "Passenger Paid Fares": 24174, - "Average Fare": 0.574313408723748 + "Average Fare": 0.574313408723748, + "Average Passengers": 0.7995253969442586 }, { "NTD ID": 30088, @@ -4047,7 +4371,8 @@ "All Fuels (Wh/pkm)": 876.3365208216892, "Unlinked Passenger Trips": 752172, "Passenger Paid Fares": 363403, - "Average Fare": 0.4831381652068942 + "Average Fare": 0.4831381652068942, + "Average Passengers": 3.9546811051117805 }, { "NTD ID": 30091, @@ -4055,7 +4380,8 @@ "UACE Code": "08002", "Unlinked Passenger Trips": 29828, "Passenger Paid Fares": 4853, - "Average Fare": 0.16269947700147513 + "Average Fare": 0.16269947700147513, + "Average Passengers": 0.5222308132706122 }, { "NTD ID": 30091, @@ -4067,7 +4393,8 @@ "All Fuels (Wh/pkm)": 891.637815190542, "Unlinked Passenger Trips": 4027506, "Passenger Paid Fares": 78240, - "Average Fare": 0.019426414262325123 + "Average Fare": 0.019426414262325123, + "Average Passengers": 7.0750430182907404 }, { "NTD ID": 30094, @@ -4079,7 +4406,8 @@ "All Fuels (Wh/pkm)": 4100.4813351451585, "Unlinked Passenger Trips": 32708, "Passenger Paid Fares": 41290, - "Average Fare": 1.2623822917940566 + "Average Fare": 1.2623822917940566, + "Average Passengers": 0.7242281389017994 }, { "NTD ID": 30094, @@ -4091,7 +4419,8 @@ "All Fuels (Wh/pkm)": 907.120557988227, "Unlinked Passenger Trips": 2084077, "Passenger Paid Fares": 145739, - "Average Fare": 0.06992975787362943 + "Average Fare": 0.06992975787362943, + "Average Passengers": 6.933645132543428 }, { "NTD ID": 30095, @@ -4103,7 +4432,8 @@ "All Fuels (Wh/pkm)": 1745.5502619861118, "Unlinked Passenger Trips": 21908, "Passenger Paid Fares": 43256, - "Average Fare": 1.9744385612561621 + "Average Fare": 1.9744385612561621, + "Average Passengers": 2.8067356644986488 }, { "NTD ID": 30095, @@ -4115,7 +4445,8 @@ "All Fuels (Wh/pkm)": 2147.628967283745, "Unlinked Passenger Trips": 47567, "Passenger Paid Fares": 76381, - "Average Fare": 1.6057560914079088 + "Average Fare": 1.6057560914079088, + "Average Passengers": 1.3976426214049975 }, { "NTD ID": 30095, @@ -4127,7 +4458,8 @@ "All Fuels (Wh/pkm)": 1143.3273434466998, "Unlinked Passenger Trips": 285890, "Passenger Paid Fares": 295754, - "Average Fare": 1.0345027807898142 + "Average Fare": 1.0345027807898142, + "Average Passengers": 3.891569538477582 }, { "NTD ID": 30096, @@ -4138,7 +4470,8 @@ "All Fuels (Wh/pkm)": 2243.368717697657, "Unlinked Passenger Trips": 50174, "Passenger Paid Fares": 190490, - "Average Fare": 3.7965878741977916 + "Average Fare": 3.7965878741977916, + "Average Passengers": 1.1530985641590767 }, { "NTD ID": 30096, @@ -4151,7 +4484,8 @@ "All Fuels (Wh/pkm)": 585.6778457193153, "Unlinked Passenger Trips": 277371, "Passenger Paid Fares": 232821, - "Average Fare": 0.8393847950939356 + "Average Fare": 0.8393847950939356, + "Average Passengers": 5.407604314801083 }, { "NTD ID": 30107, @@ -4163,7 +4497,8 @@ "All Fuels (Wh/pkm)": 585.895001542517, "Unlinked Passenger Trips": 1961676, "Passenger Paid Fares": 7339951, - "Average Fare": 3.7416734465834316 + "Average Fare": 3.7416734465834316, + "Average Passengers": 5.5808536130866395 }, { "NTD ID": 30111, @@ -4175,7 +4510,8 @@ "All Fuels (Wh/pkm)": 3015.5786360136794, "Unlinked Passenger Trips": 204335, "Passenger Paid Fares": 212615, - "Average Fare": 1.040521692318986 + "Average Fare": 1.040521692318986, + "Average Passengers": 0.9017286629237777 }, { "NTD ID": 30111, @@ -4187,7 +4523,8 @@ "All Fuels (Wh/pkm)": 1288.0905575709496, "Unlinked Passenger Trips": 88802, "Passenger Paid Fares": 142323, - "Average Fare": 1.6027003896308643 + "Average Fare": 1.6027003896308643, + "Average Passengers": 3.0772348495476356 }, { "NTD ID": 30112, @@ -4201,13 +4538,15 @@ "All Fuels (Wh/pkm)": 1743.389326955347, "Unlinked Passenger Trips": 4645318, "Passenger Paid Fares": 2516272, - "Average Fare": 0.5416791702957687 + "Average Fare": 0.5416791702957687, + "Average Passengers": 4.08727868870075 }, { "NTD ID": 30112, "Mode": "SR", "UACE Code": "92242", - "Unlinked Passenger Trips": 1171527 + "Unlinked Passenger Trips": 1171527, + "Average Passengers": 7.065463243317459 }, { "NTD ID": 30129, @@ -4217,7 +4556,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 3228.288019234865, "All Fuels (Wh/pkm)": 3228.288019234865, - "Unlinked Passenger Trips": 109000 + "Unlinked Passenger Trips": 109000, + "Average Passengers": 1.0394907638542186 }, { "NTD ID": 30129, @@ -4229,7 +4569,8 @@ "All Fuels (Wh/pkm)": 1041.7978222523825, "Unlinked Passenger Trips": 170200, "Passenger Paid Fares": 204650, - "Average Fare": 1.2024089306698003 + "Average Fare": 1.2024089306698003, + "Average Passengers": 4.147563509070387 }, { "NTD ID": 30201, @@ -4239,7 +4580,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1520.315563934018, "All Fuels (Wh/pkm)": 1520.315563934018, - "Unlinked Passenger Trips": 326126 + "Unlinked Passenger Trips": 326126, + "Average Passengers": 5.358727061207641 }, { "NTD ID": 30201, @@ -4249,7 +4591,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 549.5121250171946, "All Fuels (Wh/pkm)": 549.5121250171946, - "Unlinked Passenger Trips": 2634987 + "Unlinked Passenger Trips": 2634987, + "Average Passengers": 11.608606776156636 }, { "NTD ID": 30202, @@ -4261,7 +4604,8 @@ "All Fuels (Wh/pkm)": 2229.1927808828227, "Unlinked Passenger Trips": 508501, "Passenger Paid Fares": 472241, - "Average Fare": 0.9286923722863869 + "Average Fare": 0.9286923722863869, + "Average Passengers": 1.3604256733419788 }, { "NTD ID": 30202, @@ -4273,7 +4617,8 @@ "All Fuels (Wh/pkm)": 750.6010526470551, "Unlinked Passenger Trips": 4660772, "Passenger Paid Fares": 4554523, - "Average Fare": 0.9772035619850102 + "Average Fare": 0.9772035619850102, + "Average Passengers": 6.27518253889138 }, { "NTD ID": 40001, @@ -4287,7 +4632,8 @@ "All Fuels (Wh/pkm)": 3694.8449624801715, "Unlinked Passenger Trips": 61402, "Passenger Paid Fares": 124620, - "Average Fare": 2.0295755838572034 + "Average Fare": 2.0295755838572034, + "Average Passengers": 0.9259800703550669 }, { "NTD ID": 40001, @@ -4299,7 +4645,8 @@ "All Fuels (Wh/pkm)": 134.64468383079904, "Unlinked Passenger Trips": 489548, "Passenger Paid Fares": 3159266, - "Average Fare": 6.453434596811753 + "Average Fare": 6.453434596811753, + "Average Passengers": 24.94512101910828 }, { "NTD ID": 40001, @@ -4315,7 +4662,8 @@ "All Fuels (Wh/pkm)": 1597.5104136828365, "Unlinked Passenger Trips": 2243901, "Passenger Paid Fares": 1840486, - "Average Fare": 0.8202171129653224 + "Average Fare": 0.8202171129653224, + "Average Passengers": 3.2749075075613003 }, { "NTD ID": 40002, @@ -4327,7 +4675,8 @@ "All Fuels (Wh/pkm)": 3718.2659348944844, "Unlinked Passenger Trips": 60392, "Passenger Paid Fares": 148434, - "Average Fare": 2.4578420982911644 + "Average Fare": 2.4578420982911644, + "Average Passengers": 0.9644245246682307 }, { "NTD ID": 40002, @@ -4339,7 +4688,8 @@ "All Fuels (Wh/pkm)": 2095.2313690396727, "Unlinked Passenger Trips": 2634231, "Passenger Paid Fares": 1705653, - "Average Fare": 0.6474956068773012 + "Average Fare": 0.6474956068773012, + "Average Passengers": 2.735789886594169 }, { "NTD ID": 40003, @@ -4353,7 +4703,8 @@ "All Fuels (Wh/pkm)": 2429.3668662525615, "Unlinked Passenger Trips": 194694, "Passenger Paid Fares": 414533, - "Average Fare": 2.1291513862779543 + "Average Fare": 2.1291513862779543, + "Average Passengers": 1.1259653670917515 }, { "NTD ID": 40003, @@ -4367,7 +4718,8 @@ "All Fuels (Wh/pkm)": 1066.9067290139512, "Unlinked Passenger Trips": 6373091, "Passenger Paid Fares": 5894105, - "Average Fare": 0.9248424351699983 + "Average Fare": 0.9248424351699983, + "Average Passengers": 5.612056065421768 }, { "NTD ID": 40003, @@ -4379,7 +4731,8 @@ "All Fuels (Wh/pkm)": 1801.1077629839463, "Unlinked Passenger Trips": 109239, "Passenger Paid Fares": 104718, - "Average Fare": 0.9586136819267844 + "Average Fare": 0.9586136819267844, + "Average Passengers": 7.3064121390112575 }, { "NTD ID": 40004, @@ -4391,7 +4744,8 @@ "All Fuels (Wh/pkm)": 2291.184425870492, "Unlinked Passenger Trips": 316417, "Passenger Paid Fares": 816920, - "Average Fare": 2.5817829004130624 + "Average Fare": 2.5817829004130624, + "Average Passengers": 1.2755583865651976 }, { "NTD ID": 40004, @@ -4405,7 +4759,8 @@ "All Fuels (Wh/pkm)": 1036.0544709407116, "Unlinked Passenger Trips": 9342326, "Passenger Paid Fares": 4930360, - "Average Fare": 0.5277443754371235 + "Average Fare": 0.5277443754371235, + "Average Passengers": 6.001145292934521 }, { "NTD ID": 40005, @@ -4417,7 +4772,8 @@ "All Fuels (Wh/pkm)": 913.4641952088459, "Unlinked Passenger Trips": 1964651, "Passenger Paid Fares": 518799, - "Average Fare": 0.2640667477328034 + "Average Fare": 0.2640667477328034, + "Average Passengers": 5.002974224640995 }, { "NTD ID": 40006, @@ -4429,7 +4785,8 @@ "All Fuels (Wh/pkm)": 3593.6783797437515, "Unlinked Passenger Trips": 60690, "Passenger Paid Fares": 61001, - "Average Fare": 1.0051244027022574 + "Average Fare": 1.0051244027022574, + "Average Passengers": 0.7608023139091146 }, { "NTD ID": 40006, @@ -4443,7 +4800,8 @@ "All Fuels (Wh/pkm)": 1247.5165366029896, "Unlinked Passenger Trips": 1306099, "Passenger Paid Fares": 1660039, - "Average Fare": 1.2709901776205326 + "Average Fare": 1.2709901776205326, + "Average Passengers": 2.9292375646637483 }, { "NTD ID": 40006, @@ -4453,7 +4811,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 305.0943014137267, "All Fuels (Wh/pkm)": 305.0943014137267, - "Unlinked Passenger Trips": 4846 + "Unlinked Passenger Trips": 4846, + "Average Passengers": 4.8591264889393075 }, { "NTD ID": 40007, @@ -4467,7 +4826,8 @@ "All Fuels (Wh/pkm)": 1096.0042109716244, "Unlinked Passenger Trips": 5049379, "Passenger Paid Fares": 2520589, - "Average Fare": 0.499187919940254 + "Average Fare": 0.499187919940254, + "Average Passengers": 5.1418125018980945 }, { "NTD ID": 40008, @@ -4479,7 +4839,8 @@ "All Fuels (Wh/pkm)": 103.1199084222528, "Unlinked Passenger Trips": 895792, "Passenger Paid Fares": 2498629, - "Average Fare": 2.789295952631861 + "Average Fare": 2.789295952631861, + "Average Passengers": 6.946667063074848 }, { "NTD ID": 40008, @@ -4491,7 +4852,8 @@ "All Fuels (Wh/pkm)": 2436.8919076809575, "Unlinked Passenger Trips": 259702, "Passenger Paid Fares": 817205, - "Average Fare": 3.1467027593164474 + "Average Fare": 3.1467027593164474, + "Average Passengers": 0.982230405628229 }, { "NTD ID": 40008, @@ -4503,7 +4865,8 @@ "All Fuels (Wh/pkm)": 113.26590664677035, "Unlinked Passenger Trips": 5788961, "Passenger Paid Fares": 3974025, - "Average Fare": 0.6864832912158157 + "Average Fare": 0.6864832912158157, + "Average Passengers": 39.586541446549724 }, { "NTD ID": 40008, @@ -4515,7 +4878,8 @@ "All Fuels (Wh/pkm)": 768.3247873528771, "Unlinked Passenger Trips": 15069601, "Passenger Paid Fares": 17038438, - "Average Fare": 1.1306495772515808 + "Average Fare": 1.1306495772515808, + "Average Passengers": 5.7177323398821 }, { "NTD ID": 40008, @@ -4525,7 +4889,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 522.8704101282507, "All Fuels (Wh/pkm)": 522.8704101282507, - "Unlinked Passenger Trips": 371585 + "Unlinked Passenger Trips": 371585, + "Average Passengers": 5.998999489936047 }, { "NTD ID": 40008, @@ -4537,7 +4902,8 @@ "All Fuels (Wh/pkm)": 215.48224984345794, "Unlinked Passenger Trips": 130966, "Passenger Paid Fares": 377119, - "Average Fare": 2.8795183482735975 + "Average Fare": 2.8795183482735975, + "Average Passengers": 5.559468838730031 }, { "NTD ID": 40009, @@ -4548,7 +4914,8 @@ "All Fuels (Wh/pkm)": 3140.700167942022, "Unlinked Passenger Trips": 64023, "Passenger Paid Fares": 106675, - "Average Fare": 1.6661980850631803 + "Average Fare": 1.6661980850631803, + "Average Passengers": 0.9875612226615648 }, { "NTD ID": 40009, @@ -4563,7 +4930,8 @@ "All Fuels (Wh/pkm)": 1241.320092623114, "Unlinked Passenger Trips": 1378291, "Passenger Paid Fares": 1056113, - "Average Fare": 0.7662482015771706 + "Average Fare": 0.7662482015771706, + "Average Passengers": 4.178004426055999 }, { "NTD ID": 40012, @@ -4577,7 +4945,8 @@ "All Fuels (Wh/pkm)": 2251.0554982657914, "Unlinked Passenger Trips": 213381, "Passenger Paid Fares": 128655, - "Average Fare": 0.6029355940781982 + "Average Fare": 0.6029355940781982, + "Average Passengers": 1.4083328075539872 }, { "NTD ID": 40012, @@ -4589,7 +4958,8 @@ "All Fuels (Wh/pkm)": 1200.2203538561103, "Unlinked Passenger Trips": 2343807, "Passenger Paid Fares": 1253022, - "Average Fare": 0.5346097182916512 + "Average Fare": 0.5346097182916512, + "Average Passengers": 4.145472374146673 }, { "NTD ID": 40014, @@ -4602,7 +4972,8 @@ "All Fuels (Wh/pkm)": 2114.1154617203742, "Unlinked Passenger Trips": 46385, "Passenger Paid Fares": 17773, - "Average Fare": 0.38316266034278323 + "Average Fare": 0.38316266034278323, + "Average Passengers": 1.4403305785123965 }, { "NTD ID": 40014, @@ -4614,7 +4985,8 @@ "All Fuels (Wh/pkm)": 1511.6033352791153, "Unlinked Passenger Trips": 655076, "Passenger Paid Fares": 627623, - "Average Fare": 0.9580918855216799 + "Average Fare": 0.9580918855216799, + "Average Passengers": 3.1626265520643035 }, { "NTD ID": 40014, @@ -4626,7 +4998,8 @@ "All Fuels (Wh/pkm)": 187.91526573160948, "Unlinked Passenger Trips": 99176, "Passenger Paid Fares": 477573, - "Average Fare": 4.815408969912076 + "Average Fare": 4.815408969912076, + "Average Passengers": 6.7076038254452355 }, { "NTD ID": 40015, @@ -4640,7 +5013,8 @@ "All Fuels (Wh/pkm)": 2161.7354185783324, "Unlinked Passenger Trips": 43730, "Passenger Paid Fares": 83163, - "Average Fare": 1.9017379373427852 + "Average Fare": 1.9017379373427852, + "Average Passengers": 0.9945724242143893 }, { "NTD ID": 40015, @@ -4648,7 +5022,8 @@ "UACE Code": "42211", "Unlinked Passenger Trips": 518302, "Passenger Paid Fares": 359486, - "Average Fare": 0.6935840494537934 + "Average Fare": 0.6935840494537934, + "Average Passengers": 1.1375623416719443 }, { "NTD ID": 40017, @@ -4666,7 +5041,8 @@ "All Fuels (Wh/pkm)": 593.4728963280985, "Unlinked Passenger Trips": 3932501, "Passenger Paid Fares": 1307829, - "Average Fare": 0.33256927334538505 + "Average Fare": 0.33256927334538505, + "Average Passengers": 9.026345930628649 }, { "NTD ID": 40017, @@ -4678,7 +5054,8 @@ "All Fuels (Wh/pkm)": 284.8318617134594, "Unlinked Passenger Trips": 24842, "Passenger Paid Fares": 74434, - "Average Fare": 2.996296594477095 + "Average Fare": 2.996296594477095, + "Average Passengers": 5.557202436316721 }, { "NTD ID": 40018, @@ -4692,7 +5069,8 @@ "All Fuels (Wh/pkm)": 2829.6385976221572, "Unlinked Passenger Trips": 380109, "Passenger Paid Fares": 911618, - "Average Fare": 2.3983068014701048 + "Average Fare": 2.3983068014701048, + "Average Passengers": 0.9031946380796818 }, { "NTD ID": 40018, @@ -4706,7 +5084,8 @@ "All Fuels (Wh/pkm)": 867.885579756014, "Unlinked Passenger Trips": 11853119, "Passenger Paid Fares": 9130852, - "Average Fare": 0.7703332768362487 + "Average Fare": 0.7703332768362487, + "Average Passengers": 5.844972834182615 }, { "NTD ID": 40019, @@ -4720,7 +5099,8 @@ "All Fuels (Wh/pkm)": 2978.7457976995083, "Unlinked Passenger Trips": 92711, "Passenger Paid Fares": 250735, - "Average Fare": 2.704479511600565 + "Average Fare": 2.704479511600565, + "Average Passengers": 0.8185074187160047 }, { "NTD ID": 40019, @@ -4732,7 +5112,8 @@ "All Fuels (Wh/pkm)": 1025.7134729792704, "Unlinked Passenger Trips": 2997854, "Passenger Paid Fares": 2957951, - "Average Fare": 0.9866894785403159 + "Average Fare": 0.9866894785403159, + "Average Passengers": 5.25687434403134 }, { "NTD ID": 40021, @@ -4745,7 +5126,8 @@ "All Fuels (Wh/pkm)": 937.9824445833611, "Unlinked Passenger Trips": 13422, "Passenger Paid Fares": 31235, - "Average Fare": 2.3271494561168233 + "Average Fare": 2.3271494561168233, + "Average Passengers": 0.716051410900657 }, { "NTD ID": 40021, @@ -4759,7 +5141,8 @@ "All Fuels (Wh/pkm)": 559.9253305950757, "Unlinked Passenger Trips": 767110, "Passenger Paid Fares": 450921, - "Average Fare": 0.5878179139888673 + "Average Fare": 0.5878179139888673, + "Average Passengers": 6.308019668977154 }, { "NTD ID": 40022, @@ -4773,7 +5156,8 @@ "All Fuels (Wh/pkm)": 2466.811936074913, "Unlinked Passenger Trips": 721642, "Passenger Paid Fares": 1180350, - "Average Fare": 1.6356448211162875 + "Average Fare": 1.6356448211162875, + "Average Passengers": 1.1291865145844928 }, { "NTD ID": 40022, @@ -4785,7 +5169,8 @@ "All Fuels (Wh/pkm)": 22.551413798573062, "Unlinked Passenger Trips": 65086630, "Passenger Paid Fares": 80253269, - "Average Fare": 1.2330223426838969 + "Average Fare": 1.2330223426838969, + "Average Passengers": 110.87467373734411 }, { "NTD ID": 40022, @@ -4799,7 +5184,8 @@ "All Fuels (Wh/pkm)": 359.73907952541447, "Unlinked Passenger Trips": 54354650, "Passenger Paid Fares": 53949522, - "Average Fare": 0.9925465806513334 + "Average Fare": 0.9925465806513334, + "Average Passengers": 7.938235711542298 }, { "NTD ID": 40023, @@ -4811,7 +5197,8 @@ "All Fuels (Wh/pkm)": 4015.316546892055, "Unlinked Passenger Trips": 29087, "Passenger Paid Fares": 72369, - "Average Fare": 2.48801870251315 + "Average Fare": 2.48801870251315, + "Average Passengers": 0.7126508850314157 }, { "NTD ID": 40023, @@ -4823,7 +5210,8 @@ "All Fuels (Wh/pkm)": 1446.9698967844324, "Unlinked Passenger Trips": 659599, "Passenger Paid Fares": 552214, - "Average Fare": 0.837196539109368 + "Average Fare": 0.837196539109368, + "Average Passengers": 4.091409388300222 }, { "NTD ID": 40025, @@ -4835,7 +5223,8 @@ "All Fuels (Wh/pkm)": 5216.596142666022, "Unlinked Passenger Trips": 108200, "Passenger Paid Fares": 168881, - "Average Fare": 1.560822550831793 + "Average Fare": 1.560822550831793, + "Average Passengers": 0.7558913568186402 }, { "NTD ID": 40025, @@ -4845,7 +5234,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2937.5208554700257, "All Fuels (Wh/pkm)": 2937.5208554700257, - "Unlinked Passenger Trips": 853809 + "Unlinked Passenger Trips": 853809, + "Average Passengers": 20.624690102345685 }, { "NTD ID": 40025, @@ -4857,7 +5247,8 @@ "All Fuels (Wh/pkm)": 1397.871783750159, "Unlinked Passenger Trips": 2947187, "Passenger Paid Fares": 2274560, - "Average Fare": 0.7717732196837187 + "Average Fare": 0.7717732196837187, + "Average Passengers": 3.381254744211673 }, { "NTD ID": 40026, @@ -4871,7 +5262,8 @@ "All Fuels (Wh/pkm)": 2724.0958907545623, "Unlinked Passenger Trips": 97528, "Passenger Paid Fares": 139406, - "Average Fare": 1.4293946353867608 + "Average Fare": 1.4293946353867608, + "Average Passengers": 1.0952070884887097 }, { "NTD ID": 40026, @@ -4883,7 +5275,8 @@ "All Fuels (Wh/pkm)": 1257.4276515261176, "Unlinked Passenger Trips": 1368460, "Passenger Paid Fares": 836383, - "Average Fare": 0.6111855662569604 + "Average Fare": 0.6111855662569604, + "Average Passengers": 4.023581686350329 }, { "NTD ID": 40027, @@ -4897,7 +5290,8 @@ "All Fuels (Wh/pkm)": 1001.6425785773406, "Unlinked Passenger Trips": 11521351, "Passenger Paid Fares": 9863606, - "Average Fare": 0.8561153982723033 + "Average Fare": 0.8561153982723033, + "Average Passengers": 5.469029744605018 }, { "NTD ID": 40028, @@ -4913,7 +5307,8 @@ "All Fuels (Wh/pkm)": 3477.091610801058, "Unlinked Passenger Trips": 133765, "Passenger Paid Fares": 644567, - "Average Fare": 4.818652113781632 + "Average Fare": 4.818652113781632, + "Average Passengers": 0.8661078559311354 }, { "NTD ID": 40028, @@ -4925,7 +5320,8 @@ "All Fuels (Wh/pkm)": 997.4382072175315, "Unlinked Passenger Trips": 3116318, "Passenger Paid Fares": 2591207, - "Average Fare": 0.8314963363815888 + "Average Fare": 0.8314963363815888, + "Average Passengers": 5.157823678990488 }, { "NTD ID": 40028, @@ -4937,7 +5333,8 @@ "All Fuels (Wh/pkm)": 230.90166551499433, "Unlinked Passenger Trips": 76522, "Passenger Paid Fares": 250245, - "Average Fare": 3.270236010559055 + "Average Fare": 3.270236010559055, + "Average Passengers": 6.848111482158857 }, { "NTD ID": 40029, @@ -4951,7 +5348,8 @@ "All Fuels (Wh/pkm)": 2908.2941421049222, "Unlinked Passenger Trips": 845386, "Passenger Paid Fares": 1096329, - "Average Fare": 1.296838367325695 + "Average Fare": 1.296838367325695, + "Average Passengers": 0.889007817439773 }, { "NTD ID": 40029, @@ -4963,7 +5361,8 @@ "All Fuels (Wh/pkm)": 958.4267397830681, "Unlinked Passenger Trips": 27796289, "Passenger Paid Fares": 29681696, - "Average Fare": 1.0678294501830803 + "Average Fare": 1.0678294501830803, + "Average Passengers": 7.770876982437556 }, { "NTD ID": 40030, @@ -4975,7 +5374,8 @@ "All Fuels (Wh/pkm)": 3936.293261717341, "Unlinked Passenger Trips": 61527, "Passenger Paid Fares": 182953, - "Average Fare": 2.97354007183838 + "Average Fare": 2.97354007183838, + "Average Passengers": 0.745024865714521 }, { "NTD ID": 40030, @@ -4987,7 +5387,8 @@ "All Fuels (Wh/pkm)": 1058.2788473242197, "Unlinked Passenger Trips": 9299593, "Passenger Paid Fares": 792936, - "Average Fare": 0.08526566700284625 + "Average Fare": 0.08526566700284625, + "Average Passengers": 6.799413010144436 }, { "NTD ID": 40030, @@ -4999,7 +5400,8 @@ "All Fuels (Wh/pkm)": 187.2837227390902, "Unlinked Passenger Trips": 44731, "Passenger Paid Fares": 121769, - "Average Fare": 2.722250788044086 + "Average Fare": 2.722250788044086, + "Average Passengers": 8.82191487031595 }, { "NTD ID": 40031, @@ -5011,7 +5413,8 @@ "All Fuels (Wh/pkm)": 4703.4110267242995, "Unlinked Passenger Trips": 108299, "Passenger Paid Fares": 72237, - "Average Fare": 0.6670144692010083 + "Average Fare": 0.6670144692010083, + "Average Passengers": 0.913329962035157 }, { "NTD ID": 40031, @@ -5025,7 +5428,8 @@ "All Fuels (Wh/pkm)": 1042.396617708139, "Unlinked Passenger Trips": 1144300, "Passenger Paid Fares": 759669, - "Average Fare": 0.6638722363016691 + "Average Fare": 0.6638722363016691, + "Average Passengers": 4.21020409223909 }, { "NTD ID": 40032, @@ -5041,7 +5445,8 @@ "All Fuels (Wh/pkm)": 3782.91038976967, "Unlinked Passenger Trips": 314019, "Passenger Paid Fares": 740193, - "Average Fare": 2.3571599170750814 + "Average Fare": 2.3571599170750814, + "Average Passengers": 1.0458398741747992 }, { "NTD ID": 40032, @@ -5053,7 +5458,8 @@ "All Fuels (Wh/pkm)": 1203.6350596581353, "Unlinked Passenger Trips": 3202754, "Passenger Paid Fares": 2625537, - "Average Fare": 0.8197747938180703 + "Average Fare": 0.8197747938180703, + "Average Passengers": 4.1550560527485505 }, { "NTD ID": 40032, @@ -5065,7 +5471,8 @@ "All Fuels (Wh/pkm)": 191.50854443331454, "Unlinked Passenger Trips": 12206, "Passenger Paid Fares": 54329, - "Average Fare": 4.4510077011305915 + "Average Fare": 4.4510077011305915, + "Average Passengers": 4.477397058712564 }, { "NTD ID": 40034, @@ -5077,7 +5484,8 @@ "All Fuels (Wh/pkm)": 412.74761925781706, "Unlinked Passenger Trips": 290160, "Passenger Paid Fares": 216851, - "Average Fare": 0.7473497380755445 + "Average Fare": 0.7473497380755445, + "Average Passengers": 10.772980382571019 }, { "NTD ID": 40034, @@ -5089,7 +5497,8 @@ "All Fuels (Wh/pkm)": 973.1003405118054, "Unlinked Passenger Trips": 1743023, "Passenger Paid Fares": 5920565, - "Average Fare": 3.396722246350163 + "Average Fare": 3.396722246350163, + "Average Passengers": 1.441322972931807 }, { "NTD ID": 40034, @@ -5101,7 +5510,8 @@ "All Fuels (Wh/pkm)": 89.07042217275726, "Unlinked Passenger Trips": 19150308, "Passenger Paid Fares": 9008622, - "Average Fare": 0.4704165593576876 + "Average Fare": 0.4704165593576876, + "Average Passengers": 71.51118948873977 }, { "NTD ID": 40034, @@ -5117,7 +5527,8 @@ "All Fuels (Wh/pkm)": 719.2114569795565, "Unlinked Passenger Trips": 51469756, "Passenger Paid Fares": 48281103, - "Average Fare": 0.938048025718249 + "Average Fare": 0.938048025718249, + "Average Passengers": 9.667259889012934 }, { "NTD ID": 40034, @@ -5127,7 +5538,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 693.0005910757462, "All Fuels (Wh/pkm)": 693.0005910757462, - "Unlinked Passenger Trips": 8802523 + "Unlinked Passenger Trips": 8802523, + "Average Passengers": 8.67023374001277 }, { "NTD ID": 40034, @@ -5139,7 +5551,8 @@ "All Fuels (Wh/pkm)": 214.9384210780263, "Unlinked Passenger Trips": 484458, "Passenger Paid Fares": 1451748, - "Average Fare": 2.9966436718972544 + "Average Fare": 2.9966436718972544, + "Average Passengers": 4.376587287389105 }, { "NTD ID": 40035, @@ -5151,7 +5564,8 @@ "All Fuels (Wh/pkm)": 4966.301537842575, "Unlinked Passenger Trips": 479954, "Passenger Paid Fares": 2117604, - "Average Fare": 4.412097826041662 + "Average Fare": 4.412097826041662, + "Average Passengers": 0.7519044368269433 }, { "NTD ID": 40035, @@ -5167,13 +5581,15 @@ "All Fuels (Wh/pkm)": 570.0510509164998, "Unlinked Passenger Trips": 23239148, "Passenger Paid Fares": 22025139, - "Average Fare": 0.9477601760615321 + "Average Fare": 0.9477601760615321, + "Average Passengers": 7.605450049333406 }, { "NTD ID": 40035, "Mode": "RB", "UACE Code": "65863", - "Unlinked Passenger Trips": 1038345 + "Unlinked Passenger Trips": 1038345, + "Average Passengers": 2.3918120099237044 }, { "NTD ID": 40035, @@ -5185,7 +5601,8 @@ "All Fuels (Wh/pkm)": 254.6861948481997, "Unlinked Passenger Trips": 360474, "Passenger Paid Fares": 1442582, - "Average Fare": 4.001903049873222 + "Average Fare": 4.001903049873222, + "Average Passengers": 5.486999793196153 }, { "NTD ID": 40036, @@ -5199,7 +5616,8 @@ "All Fuels (Wh/pkm)": 1088.2900805660142, "Unlinked Passenger Trips": 103201, "Passenger Paid Fares": 221223, - "Average Fare": 2.1436129494869234 + "Average Fare": 2.1436129494869234, + "Average Passengers": 0.8640240593688618 }, { "NTD ID": 40036, @@ -5215,7 +5633,8 @@ "All Fuels (Wh/pkm)": 1399.6991265989927, "Unlinked Passenger Trips": 3316766, "Passenger Paid Fares": 4354669, - "Average Fare": 1.3129262058282074 + "Average Fare": 1.3129262058282074, + "Average Passengers": 4.046859584680351 }, { "NTD ID": 40037, @@ -5229,7 +5648,8 @@ "All Fuels (Wh/pkm)": 2331.850374787068, "Unlinked Passenger Trips": 999260, "Passenger Paid Fares": 2833609, - "Average Fare": 2.835707423493385 + "Average Fare": 2.835707423493385, + "Average Passengers": 1.0890155242894723 }, { "NTD ID": 40037, @@ -5241,7 +5661,8 @@ "All Fuels (Wh/pkm)": 850.0960275233906, "Unlinked Passenger Trips": 9113767, "Passenger Paid Fares": 8059162, - "Average Fare": 0.8842844018285743 + "Average Fare": 0.8842844018285743, + "Average Passengers": 6.391697726813875 }, { "NTD ID": 40038, @@ -5253,7 +5674,8 @@ "All Fuels (Wh/pkm)": 3510.83475794801, "Unlinked Passenger Trips": 101671, "Passenger Paid Fares": 274483, - "Average Fare": 2.6997177169497695 + "Average Fare": 2.6997177169497695, + "Average Passengers": 0.8058458051503948 }, { "NTD ID": 40038, @@ -5265,7 +5687,8 @@ "All Fuels (Wh/pkm)": 1228.8463848372705, "Unlinked Passenger Trips": 1445102, "Passenger Paid Fares": 979444, - "Average Fare": 0.6777680745026995 + "Average Fare": 0.6777680745026995, + "Average Passengers": 4.291597969533373 }, { "NTD ID": 40040, @@ -5277,7 +5700,8 @@ "All Fuels (Wh/pkm)": 3572.691912675583, "Unlinked Passenger Trips": 369347, "Passenger Paid Fares": 1025101, - "Average Fare": 2.775441522470739 + "Average Fare": 2.775441522470739, + "Average Passengers": 0.9132900356571204 }, { "NTD ID": 40040, @@ -5285,7 +5709,8 @@ "UACE Code": "42346", "Unlinked Passenger Trips": 437999, "Passenger Paid Fares": 1452129, - "Average Fare": 3.315370583037861 + "Average Fare": 3.315370583037861, + "Average Passengers": 23.7928536938677 }, { "NTD ID": 40040, @@ -5299,7 +5724,8 @@ "All Fuels (Wh/pkm)": 656.0729198565206, "Unlinked Passenger Trips": 10436309, "Passenger Paid Fares": 10577282, - "Average Fare": 1.013507936570295 + "Average Fare": 1.013507936570295, + "Average Passengers": 6.422828964025594 }, { "NTD ID": 40040, @@ -5309,7 +5735,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 559.9261251883393, "All Fuels (Wh/pkm)": 559.9261251883393, - "Unlinked Passenger Trips": 844267 + "Unlinked Passenger Trips": 844267, + "Average Passengers": 5.363223601944539 }, { "NTD ID": 40041, @@ -5321,7 +5748,8 @@ "All Fuels (Wh/pkm)": 2226.296532758081, "Unlinked Passenger Trips": 172054, "Passenger Paid Fares": 205622, - "Average Fare": 1.1951015378892673 + "Average Fare": 1.1951015378892673, + "Average Passengers": 0.901878479354589 }, { "NTD ID": 40041, @@ -5335,7 +5763,8 @@ "All Fuels (Wh/pkm)": 745.4099363554046, "Unlinked Passenger Trips": 11586334, "Passenger Paid Fares": 8973084, - "Average Fare": 0.7744541111968635 + "Average Fare": 0.7744541111968635, + "Average Passengers": 8.236418499779935 }, { "NTD ID": 40041, @@ -5347,7 +5776,8 @@ "All Fuels (Wh/pkm)": 477.0148119550795, "Unlinked Passenger Trips": 424302, "Passenger Paid Fares": 311990, - "Average Fare": 0.735301742626714 + "Average Fare": 0.735301742626714, + "Average Passengers": 10.515245249668581 }, { "NTD ID": 40042, @@ -5359,7 +5789,8 @@ "All Fuels (Wh/pkm)": 665.3156165181348, "Unlinked Passenger Trips": 113940, "Passenger Paid Fares": 176294, - "Average Fare": 1.5472529401439354 + "Average Fare": 1.5472529401439354, + "Average Passengers": 1.6884246973096315 }, { "NTD ID": 40042, @@ -5373,7 +5804,8 @@ "All Fuels (Wh/pkm)": 410.81573284004145, "Unlinked Passenger Trips": 3229051, "Passenger Paid Fares": 1897108, - "Average Fare": 0.5875125539980632 + "Average Fare": 0.5875125539980632, + "Average Passengers": 6.0018606238022585 }, { "NTD ID": 40043, @@ -5385,7 +5817,8 @@ "All Fuels (Wh/pkm)": 3449.2961383269585, "Unlinked Passenger Trips": 84183, "Passenger Paid Fares": 211065, - "Average Fare": 2.5072164213677346 + "Average Fare": 2.5072164213677346, + "Average Passengers": 0.9844690818739816 }, { "NTD ID": 40043, @@ -5399,7 +5832,8 @@ "All Fuels (Wh/pkm)": 989.0080868051328, "Unlinked Passenger Trips": 850598, "Passenger Paid Fares": 532506, - "Average Fare": 0.6260372114676969 + "Average Fare": 0.6260372114676969, + "Average Passengers": 5.08285722810466 }, { "NTD ID": 40044, @@ -5413,7 +5847,8 @@ "All Fuels (Wh/pkm)": 2994.3971267583534, "Unlinked Passenger Trips": 27398, "Passenger Paid Fares": 83299, - "Average Fare": 3.0403314110519015 + "Average Fare": 3.0403314110519015, + "Average Passengers": 0.9123920377739998 }, { "NTD ID": 40044, @@ -5425,7 +5860,8 @@ "All Fuels (Wh/pkm)": 2064.483296909204, "Unlinked Passenger Trips": 605572, "Passenger Paid Fares": 534686, - "Average Fare": 0.8829437292345088 + "Average Fare": 0.8829437292345088, + "Average Passengers": 2.2350044996612612 }, { "NTD ID": 40046, @@ -5433,7 +5869,8 @@ "UACE Code": "09536", "Unlinked Passenger Trips": 12324, "Passenger Paid Fares": 66135, - "Average Fare": 5.3663583252190845 + "Average Fare": 5.3663583252190845, + "Average Passengers": 2.6416059909840515 }, { "NTD ID": 40046, @@ -5447,7 +5884,8 @@ "All Fuels (Wh/pkm)": 2459.8060931447735, "Unlinked Passenger Trips": 195061, "Passenger Paid Fares": 465144, - "Average Fare": 2.384607891890229 + "Average Fare": 2.384607891890229, + "Average Passengers": 1.0180545015221696 }, { "NTD ID": 40046, @@ -5459,7 +5897,8 @@ "All Fuels (Wh/pkm)": 1279.9278939019932, "Unlinked Passenger Trips": 2397901, "Passenger Paid Fares": 1587250, - "Average Fare": 0.6619330823082354 + "Average Fare": 0.6619330823082354, + "Average Passengers": 3.601315983211398 }, { "NTD ID": 40047, @@ -5471,7 +5910,8 @@ "All Fuels (Wh/pkm)": 5276.382348017799, "Unlinked Passenger Trips": 7482, "Passenger Paid Fares": 20853, - "Average Fare": 2.7870890136327184 + "Average Fare": 2.7870890136327184, + "Average Passengers": 0.5273265925773074 }, { "NTD ID": 40047, @@ -5483,13 +5923,15 @@ "All Fuels (Wh/pkm)": 1187.3256206087235, "Unlinked Passenger Trips": 1542456, "Passenger Paid Fares": 707426, - "Average Fare": 0.4586360972371335 + "Average Fare": 0.4586360972371335, + "Average Passengers": 5.3289717454067125 }, { "NTD ID": 40051, "Mode": "DR", "UACE Code": "25228", - "Unlinked Passenger Trips": 62280 + "Unlinked Passenger Trips": 62280, + "Average Passengers": 0.8076217394864454 }, { "NTD ID": 40051, @@ -5501,7 +5943,8 @@ "All Fuels (Wh/pkm)": 952.5988825405731, "Unlinked Passenger Trips": 6523418, "Passenger Paid Fares": 316101, - "Average Fare": 0.04845634604435895 + "Average Fare": 0.04845634604435895, + "Average Passengers": 6.0015629667879455 }, { "NTD ID": 40053, @@ -5513,7 +5956,8 @@ "All Fuels (Wh/pkm)": 5228.123632702961, "Unlinked Passenger Trips": 10868, "Passenger Paid Fares": 31074, - "Average Fare": 2.8592197276407805 + "Average Fare": 2.8592197276407805, + "Average Passengers": 0.6842755399432552 }, { "NTD ID": 40053, @@ -5527,7 +5971,8 @@ "All Fuels (Wh/pkm)": 1187.6069418910993, "Unlinked Passenger Trips": 845407, "Passenger Paid Fares": 769805, - "Average Fare": 0.9105732505172065 + "Average Fare": 0.9105732505172065, + "Average Passengers": 4.988434220648256 }, { "NTD ID": 40057, @@ -5541,7 +5986,8 @@ "All Fuels (Wh/pkm)": 2488.2576072532693, "Unlinked Passenger Trips": 36512, "Passenger Paid Fares": 51537, - "Average Fare": 1.4115085451358458 + "Average Fare": 1.4115085451358458, + "Average Passengers": 1.022681152299943 }, { "NTD ID": 40057, @@ -5553,7 +5999,8 @@ "All Fuels (Wh/pkm)": 1248.2272672693728, "Unlinked Passenger Trips": 433653, "Passenger Paid Fares": 306837, - "Average Fare": 0.7075634205228605 + "Average Fare": 0.7075634205228605, + "Average Passengers": 4.116244473054739 }, { "NTD ID": 40058, @@ -5565,7 +6012,8 @@ "All Fuels (Wh/pkm)": 2719.559043575253, "Unlinked Passenger Trips": 23556, "Passenger Paid Fares": 48500, - "Average Fare": 2.0589234165393107 + "Average Fare": 2.0589234165393107, + "Average Passengers": 0.9500518962075848 }, { "NTD ID": 40058, @@ -5579,7 +6027,8 @@ "All Fuels (Wh/pkm)": 624.9664012640916, "Unlinked Passenger Trips": 1067020, "Passenger Paid Fares": 646283, - "Average Fare": 0.6056896777942307 + "Average Fare": 0.6056896777942307, + "Average Passengers": 9.384400227140183 }, { "NTD ID": 40063, @@ -5593,7 +6042,8 @@ "All Fuels (Wh/pkm)": 1201.5417622508078, "Unlinked Passenger Trips": 423209, "Passenger Paid Fares": 942901, - "Average Fare": 2.2279795562003644 + "Average Fare": 2.2279795562003644, + "Average Passengers": 2.3219054650899316 }, { "NTD ID": 40063, @@ -5601,7 +6051,8 @@ "UACE Code": "67105", "Unlinked Passenger Trips": 2118469, "Passenger Paid Fares": 734165, - "Average Fare": 0.34655451649280683 + "Average Fare": 0.34655451649280683, + "Average Passengers": 6.4479086501057665 }, { "NTD ID": 40063, @@ -5613,7 +6064,8 @@ "All Fuels (Wh/pkm)": 227.7898955456344, "Unlinked Passenger Trips": 86545, "Passenger Paid Fares": 424918, - "Average Fare": 4.909792593448495 + "Average Fare": 4.909792593448495, + "Average Passengers": 5.489556900843423 }, { "NTD ID": 40068, @@ -5627,7 +6079,8 @@ "All Fuels (Wh/pkm)": 1453.3591997661676, "Unlinked Passenger Trips": 93498, "Passenger Paid Fares": 80827, - "Average Fare": 0.8644783845643758 + "Average Fare": 0.8644783845643758, + "Average Passengers": 1.941872835280312 }, { "NTD ID": 40071, @@ -5639,7 +6092,8 @@ "All Fuels (Wh/pkm)": 2421.722308916471, "Unlinked Passenger Trips": 98373, "Passenger Paid Fares": 125189, - "Average Fare": 1.2725951226454413 + "Average Fare": 1.2725951226454413, + "Average Passengers": 1.1672727631682855 }, { "NTD ID": 40071, @@ -5651,7 +6105,8 @@ "All Fuels (Wh/pkm)": 824.215822054269, "Unlinked Passenger Trips": 643211, "Passenger Paid Fares": 278436, - "Average Fare": 0.4328843878602822 + "Average Fare": 0.4328843878602822, + "Average Passengers": 5.989150419444334 }, { "NTD ID": 40074, @@ -5665,7 +6120,8 @@ "All Fuels (Wh/pkm)": 3677.3050454333465, "Unlinked Passenger Trips": 58495, "Passenger Paid Fares": 66297, - "Average Fare": 1.1333789212753227 + "Average Fare": 1.1333789212753227, + "Average Passengers": 0.7262149546966045 }, { "NTD ID": 40074, @@ -5677,7 +6133,8 @@ "All Fuels (Wh/pkm)": 1887.346657296344, "Unlinked Passenger Trips": 826811, "Passenger Paid Fares": 792018, - "Average Fare": 0.9579190407481274 + "Average Fare": 0.9579190407481274, + "Average Passengers": 2.801896004209036 }, { "NTD ID": 40077, @@ -5689,7 +6146,8 @@ "All Fuels (Wh/pkm)": 680.2246093466416, "Unlinked Passenger Trips": 4325856, "Passenger Paid Fares": 13144962, - "Average Fare": 3.0386961563214308 + "Average Fare": 3.0386961563214308, + "Average Passengers": 104.52283754941429 }, { "NTD ID": 40077, @@ -5699,7 +6157,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1376.6761255635965, "All Fuels (Wh/pkm)": 1376.6761255635965, - "Unlinked Passenger Trips": 891930 + "Unlinked Passenger Trips": 891930, + "Average Passengers": 3.3297846149961496 }, { "NTD ID": 40078, @@ -5707,7 +6166,8 @@ "UACE Code": "03817", "Unlinked Passenger Trips": 328614, "Passenger Paid Fares": 528738, - "Average Fare": 1.6089941390202487 + "Average Fare": 1.6089941390202487, + "Average Passengers": 8.55295566502463 }, { "NTD ID": 40078, @@ -5719,7 +6179,8 @@ "All Fuels (Wh/pkm)": 4114.225996251088, "Unlinked Passenger Trips": 62377, "Passenger Paid Fares": 121174, - "Average Fare": 1.9426070506757298 + "Average Fare": 1.9426070506757298, + "Average Passengers": 0.792247599737611 }, { "NTD ID": 40078, @@ -5733,7 +6194,8 @@ "All Fuels (Wh/pkm)": 1022.7554746958498, "Unlinked Passenger Trips": 2152593, "Passenger Paid Fares": 3457135, - "Average Fare": 1.6060328171651586 + "Average Fare": 1.6060328171651586, + "Average Passengers": 3.9376205822380284 }, { "NTD ID": 40082, @@ -5743,7 +6205,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 827.1305849815179, "All Fuels (Wh/pkm)": 827.1305849815179, - "Unlinked Passenger Trips": 19553 + "Unlinked Passenger Trips": 19553, + "Average Passengers": 3.1636165695933807 }, { "NTD ID": 40082, @@ -5755,7 +6218,8 @@ "All Fuels (Wh/pkm)": 387.16650309964695, "Unlinked Passenger Trips": 76701, "Passenger Paid Fares": 211377, - "Average Fare": 2.7558571596198225 + "Average Fare": 2.7558571596198225, + "Average Passengers": 3.8230986507963545 }, { "NTD ID": 40086, @@ -5769,7 +6233,8 @@ "All Fuels (Wh/pkm)": 2612.47606490181, "Unlinked Passenger Trips": 75954, "Passenger Paid Fares": 75954, - "Average Fare": 1.0 + "Average Fare": 1.0, + "Average Passengers": 0.62503989223649 }, { "NTD ID": 40086, @@ -5781,7 +6246,8 @@ "All Fuels (Wh/pkm)": 1215.9619933249808, "Unlinked Passenger Trips": 3210200, "Passenger Paid Fares": 1820184, - "Average Fare": 0.5670001869042427 + "Average Fare": 0.5670001869042427, + "Average Passengers": 9.035980554354989 }, { "NTD ID": 40087, @@ -5793,7 +6259,8 @@ "All Fuels (Wh/pkm)": 2741.9749925465358, "Unlinked Passenger Trips": 220270, "Passenger Paid Fares": 183383, - "Average Fare": 0.8325373405366141 + "Average Fare": 0.8325373405366141, + "Average Passengers": 0.9980780938326022 }, { "NTD ID": 40087, @@ -5805,7 +6272,8 @@ "All Fuels (Wh/pkm)": 775.7485001503419, "Unlinked Passenger Trips": 6715030, "Passenger Paid Fares": 2453370, - "Average Fare": 0.3653550319209296 + "Average Fare": 0.3653550319209296, + "Average Passengers": 7.27153262891423 }, { "NTD ID": 40093, @@ -5819,7 +6287,8 @@ "All Fuels (Wh/pkm)": 3716.6842205683415, "Unlinked Passenger Trips": 263835, "Passenger Paid Fares": 280413, - "Average Fare": 1.0628347262493605 + "Average Fare": 1.0628347262493605, + "Average Passengers": 0.9378786782831158 }, { "NTD ID": 40093, @@ -5831,7 +6300,8 @@ "All Fuels (Wh/pkm)": 1672.790226330161, "Unlinked Passenger Trips": 3434179, "Passenger Paid Fares": 2715022, - "Average Fare": 0.7905883764358236 + "Average Fare": 0.7905883764358236, + "Average Passengers": 3.6146570506083804 }, { "NTD ID": 40094, @@ -5843,7 +6313,8 @@ "All Fuels (Wh/pkm)": 37.843690933455605, "Unlinked Passenger Trips": 3800430, "Passenger Paid Fares": 4954846, - "Average Fare": 1.3037593114463364 + "Average Fare": 1.3037593114463364, + "Average Passengers": 42.54464267223228 }, { "NTD ID": 40094, @@ -5855,7 +6326,8 @@ "All Fuels (Wh/pkm)": 1271.5857721244988, "Unlinked Passenger Trips": 1198068, "Passenger Paid Fares": 657048, - "Average Fare": 0.5484229609671571 + "Average Fare": 0.5484229609671571, + "Average Passengers": 4.648947763649342 }, { "NTD ID": 40097, @@ -5869,7 +6341,8 @@ "All Fuels (Wh/pkm)": 2161.997674396178, "Unlinked Passenger Trips": 102979, "Passenger Paid Fares": 7096, - "Average Fare": 0.06890725293506443 + "Average Fare": 0.06890725293506443, + "Average Passengers": 1.5841288196255312 }, { "NTD ID": 40097, @@ -5881,7 +6354,8 @@ "All Fuels (Wh/pkm)": 893.5180830799877, "Unlinked Passenger Trips": 434198, "Passenger Paid Fares": 41966, - "Average Fare": 0.0966517579537446 + "Average Fare": 0.0966517579537446, + "Average Passengers": 4.624920376990575 }, { "NTD ID": 40100, @@ -5895,7 +6369,8 @@ "All Fuels (Wh/pkm)": 540.3511773633886, "Unlinked Passenger Trips": 13756, "Passenger Paid Fares": 13060, - "Average Fare": 0.9494038964815353 + "Average Fare": 0.9494038964815353, + "Average Passengers": 6.190502977518282 }, { "NTD ID": 40100, @@ -5909,7 +6384,8 @@ "All Fuels (Wh/pkm)": 767.3806660775007, "Unlinked Passenger Trips": 20607, "Passenger Paid Fares": 8618, - "Average Fare": 0.418207405250643 + "Average Fare": 0.418207405250643, + "Average Passengers": 1.5461660327217772 }, { "NTD ID": 40100, @@ -5919,7 +6395,8 @@ "Diesel (Wh/pkm)": 2120.9764667917434, "Unlinked Passenger Trips": 129242, "Passenger Paid Fares": 46824, - "Average Fare": 0.3622970860865663 + "Average Fare": 0.3622970860865663, + "Average Passengers": 2.269933899793511 }, { "NTD ID": 40104, @@ -5931,7 +6408,8 @@ "All Fuels (Wh/pkm)": 2589.8488853808635, "Unlinked Passenger Trips": 32501, "Passenger Paid Fares": 8402, - "Average Fare": 0.25851512261161197 + "Average Fare": 0.25851512261161197, + "Average Passengers": 0.7271123803124474 }, { "NTD ID": 40104, @@ -5943,7 +6421,8 @@ "Gasoline (Wh/pkm)": 87.10001479892946, "Diesel (Wh/pkm)": 929.3697599840949, "All Fuels (Wh/pkm)": 644.7061753967137, - "Unlinked Passenger Trips": 1220339 + "Unlinked Passenger Trips": 1220339, + "Average Passengers": 5.369647621992419 }, { "NTD ID": 40108, @@ -5955,7 +6434,8 @@ "All Fuels (Wh/pkm)": 3349.8684451470226, "Unlinked Passenger Trips": 56863, "Passenger Paid Fares": 89105, - "Average Fare": 1.5670119409809542 + "Average Fare": 1.5670119409809542, + "Average Passengers": 1.3188898897205845 }, { "NTD ID": 40108, @@ -5967,7 +6447,8 @@ "All Fuels (Wh/pkm)": 1018.3541764424209, "Unlinked Passenger Trips": 1636072, "Passenger Paid Fares": 1857621, - "Average Fare": 1.13541518955156 + "Average Fare": 1.13541518955156, + "Average Passengers": 5.204933774769782 }, { "NTD ID": 40108, @@ -5979,7 +6460,8 @@ "All Fuels (Wh/pkm)": 274.0528560569755, "Unlinked Passenger Trips": 197476, "Passenger Paid Fares": 493307, - "Average Fare": 2.4980605238104885 + "Average Fare": 2.4980605238104885, + "Average Passengers": 7.357583670888146 }, { "NTD ID": 40110, @@ -5991,7 +6473,8 @@ "All Fuels (Wh/pkm)": 710.7840033580295, "Unlinked Passenger Trips": 158120, "Passenger Paid Fares": 215960, - "Average Fare": 1.3657981280040477 + "Average Fare": 1.3657981280040477, + "Average Passengers": 9.429152024567069 }, { "NTD ID": 40110, @@ -6003,7 +6486,8 @@ "All Fuels (Wh/pkm)": 1788.381905071864, "Unlinked Passenger Trips": 72084, "Passenger Paid Fares": 204718, - "Average Fare": 2.839992231285722 + "Average Fare": 2.839992231285722, + "Average Passengers": 0.9883174555803734 }, { "NTD ID": 40110, @@ -6017,7 +6501,8 @@ "All Fuels (Wh/pkm)": 1215.1324384774696, "Unlinked Passenger Trips": 2955646, "Passenger Paid Fares": 3632362, - "Average Fare": 1.2289570537202357 + "Average Fare": 1.2289570537202357, + "Average Passengers": 5.311556046776733 }, { "NTD ID": 40120, @@ -6029,7 +6514,8 @@ "All Fuels (Wh/pkm)": 1943.5006971303483, "Unlinked Passenger Trips": 416242, "Passenger Paid Fares": 308776, - "Average Fare": 0.7418184613758343 + "Average Fare": 0.7418184613758343, + "Average Passengers": 4.3320840235323095 }, { "NTD ID": 40128, @@ -6043,7 +6529,8 @@ "All Fuels (Wh/pkm)": 2944.1185467649893, "Unlinked Passenger Trips": 97476, "Passenger Paid Fares": 109865, - "Average Fare": 1.1270979523164677 + "Average Fare": 1.1270979523164677, + "Average Passengers": 0.7655975364416052 }, { "NTD ID": 40129, @@ -6057,7 +6544,8 @@ "All Fuels (Wh/pkm)": 1693.3769043359837, "Unlinked Passenger Trips": 127846, "Passenger Paid Fares": 141312, - "Average Fare": 1.105329849975752 + "Average Fare": 1.105329849975752, + "Average Passengers": 1.3625621359988682 }, { "NTD ID": 40138, @@ -6069,7 +6557,8 @@ "All Fuels (Wh/pkm)": 823.6066761391379, "Unlinked Passenger Trips": 403391, "Passenger Paid Fares": 1625744, - "Average Fare": 4.030194030109745 + "Average Fare": 4.030194030109745, + "Average Passengers": 8.24859124388503 }, { "NTD ID": 40138, @@ -6083,7 +6572,8 @@ "All Fuels (Wh/pkm)": 3785.232620471839, "Unlinked Passenger Trips": 39837, "Passenger Paid Fares": 73076, - "Average Fare": 1.834375078444662 + "Average Fare": 1.834375078444662, + "Average Passengers": 0.8339664810823414 }, { "NTD ID": 40138, @@ -6095,7 +6585,8 @@ "All Fuels (Wh/pkm)": 894.4887418084716, "Unlinked Passenger Trips": 1075995, "Passenger Paid Fares": 1531875, - "Average Fare": 1.4236822661815343 + "Average Fare": 1.4236822661815343, + "Average Passengers": 5.307203937419231 }, { "NTD ID": 40140, @@ -6109,7 +6600,8 @@ "All Fuels (Wh/pkm)": 2436.492235562214, "Unlinked Passenger Trips": 106256, "Passenger Paid Fares": 230388, - "Average Fare": 2.1682352055413343 + "Average Fare": 2.1682352055413343, + "Average Passengers": 0.9226159220187483 }, { "NTD ID": 40140, @@ -6121,7 +6613,8 @@ "All Fuels (Wh/pkm)": 1059.3500672570856, "Unlinked Passenger Trips": 840961, "Passenger Paid Fares": 836414, - "Average Fare": 0.9945930905238174 + "Average Fare": 0.9945930905238174, + "Average Passengers": 4.424475456981776 }, { "NTD ID": 40141, @@ -6135,7 +6628,8 @@ "All Fuels (Wh/pkm)": 2461.0587445246124, "Unlinked Passenger Trips": 72815, "Passenger Paid Fares": 216946, - "Average Fare": 2.979413582366271 + "Average Fare": 2.979413582366271, + "Average Passengers": 1.1778608996993927 }, { "NTD ID": 40141, @@ -6147,7 +6641,8 @@ "All Fuels (Wh/pkm)": 2145.704535636321, "Unlinked Passenger Trips": 2575627, "Passenger Paid Fares": 1952516, - "Average Fare": 0.7580740534246613 + "Average Fare": 0.7580740534246613, + "Average Passengers": 2.3899665297014887 }, { "NTD ID": 40147, @@ -6159,7 +6654,8 @@ "All Fuels (Wh/pkm)": 760.2432582553541, "Unlinked Passenger Trips": 3506210, "Passenger Paid Fares": 5558105, - "Average Fare": 1.5852173714637743 + "Average Fare": 1.5852173714637743, + "Average Passengers": 7.063357362918383 }, { "NTD ID": 40158, @@ -6171,7 +6667,8 @@ "All Fuels (Wh/pkm)": 3074.722255823055, "Unlinked Passenger Trips": 107312, "Passenger Paid Fares": 99219, - "Average Fare": 0.9245843894438647 + "Average Fare": 0.9245843894438647, + "Average Passengers": 1.0936224363039488 }, { "NTD ID": 40158, @@ -6185,7 +6682,8 @@ "All Fuels (Wh/pkm)": 1308.2609874769041, "Unlinked Passenger Trips": 340650, "Passenger Paid Fares": 156846, - "Average Fare": 0.46043152796125053 + "Average Fare": 0.46043152796125053, + "Average Passengers": 3.3151326150052935 }, { "NTD ID": 40159, @@ -6197,7 +6695,8 @@ "All Fuels (Wh/pkm)": 1007.3724697510017, "Unlinked Passenger Trips": 303003, "Passenger Paid Fares": 981249, - "Average Fare": 3.238413481054643 + "Average Fare": 3.238413481054643, + "Average Passengers": 55.34833189224394 }, { "NTD ID": 40159, @@ -6209,7 +6708,8 @@ "All Fuels (Wh/pkm)": 155.04912428700112, "Unlinked Passenger Trips": 120524, "Passenger Paid Fares": 347197, - "Average Fare": 2.880729149381036 + "Average Fare": 2.880729149381036, + "Average Passengers": 8.956548799527406 }, { "NTD ID": 40169, @@ -6221,7 +6721,8 @@ "All Fuels (Wh/pkm)": 190.02794139607363, "Unlinked Passenger Trips": 75878, "Passenger Paid Fares": 310359, - "Average Fare": 4.09023695932945 + "Average Fare": 4.09023695932945, + "Average Passengers": 4.893789392666569 }, { "NTD ID": 40171, @@ -6234,7 +6735,8 @@ "All Fuels (Wh/pkm)": 2060.191710962861, "Unlinked Passenger Trips": 157621, "Passenger Paid Fares": 51642, - "Average Fare": 0.32763400815881133 + "Average Fare": 0.32763400815881133, + "Average Passengers": 1.2828125029551443 }, { "NTD ID": 40172, @@ -6248,7 +6750,8 @@ "All Fuels (Wh/pkm)": 2266.4031343380207, "Unlinked Passenger Trips": 110147, "Passenger Paid Fares": 98240, - "Average Fare": 0.8918990076897237 + "Average Fare": 0.8918990076897237, + "Average Passengers": 0.9720222907953634 }, { "NTD ID": 40172, @@ -6262,7 +6765,8 @@ "All Fuels (Wh/pkm)": 1794.47744573415, "Unlinked Passenger Trips": 134377, "Passenger Paid Fares": 71479, - "Average Fare": 0.5319288271058291 + "Average Fare": 0.5319288271058291, + "Average Passengers": 2.510010149987273 }, { "NTD ID": 40173, @@ -6274,7 +6778,8 @@ "All Fuels (Wh/pkm)": 927.5643921906956, "Unlinked Passenger Trips": 439476, "Passenger Paid Fares": 350316, - "Average Fare": 0.7971220271414139 + "Average Fare": 0.7971220271414139, + "Average Passengers": 4.347246762659927 }, { "NTD ID": 40173, @@ -6286,7 +6791,8 @@ "All Fuels (Wh/pkm)": 214.98312532823266, "Unlinked Passenger Trips": 242429, "Passenger Paid Fares": 581109, - "Average Fare": 2.397027583333677 + "Average Fare": 2.397027583333677, + "Average Passengers": 9.606658507727161 }, { "NTD ID": 40175, @@ -6298,7 +6804,8 @@ "All Fuels (Wh/pkm)": 3858.262032906294, "Unlinked Passenger Trips": 1249490, "Passenger Paid Fares": 1294604, - "Average Fare": 1.0361059312199377 + "Average Fare": 1.0361059312199377, + "Average Passengers": 73.50404719886953 }, { "NTD ID": 40178, @@ -6310,7 +6817,8 @@ "All Fuels (Wh/pkm)": 142.42080994114968, "Unlinked Passenger Trips": 107212, "Passenger Paid Fares": 624965, - "Average Fare": 5.829244860649927 + "Average Fare": 5.829244860649927, + "Average Passengers": 8.436093325480213 }, { "NTD ID": 40180, @@ -6318,7 +6826,8 @@ "UACE Code": "03763", "Unlinked Passenger Trips": 7566, "Passenger Paid Fares": 10606, - "Average Fare": 1.401797515199577 + "Average Fare": 1.401797515199577, + "Average Passengers": 0.22188315075639017 }, { "NTD ID": 40180, @@ -6330,7 +6839,8 @@ "All Fuels (Wh/pkm)": 1085.1017667976114, "Unlinked Passenger Trips": 5746090, "Passenger Paid Fares": 7981053, - "Average Fare": 1.388953705911324 + "Average Fare": 1.388953705911324, + "Average Passengers": 7.162143169521234 }, { "NTD ID": 40191, @@ -6342,7 +6852,8 @@ "All Fuels (Wh/pkm)": 1788.4898825469973, "Unlinked Passenger Trips": 112548, "Passenger Paid Fares": 1990699, - "Average Fare": 17.68755553186196 + "Average Fare": 17.68755553186196, + "Average Passengers": 0.9347267784521704 }, { "NTD ID": 40191, @@ -6352,7 +6863,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 244.6859547350307, "All Fuels (Wh/pkm)": 244.6859547350307, - "Unlinked Passenger Trips": 32688 + "Unlinked Passenger Trips": 32688, + "Average Passengers": 12.971973515169482 }, { "NTD ID": 40191, @@ -6364,7 +6876,8 @@ "All Fuels (Wh/pkm)": 274.79573706103633, "Unlinked Passenger Trips": 34854, "Passenger Paid Fares": 196555, - "Average Fare": 5.639381419636197 + "Average Fare": 5.639381419636197, + "Average Passengers": 6.112211274957588 }, { "NTD ID": 40192, @@ -6372,7 +6885,8 @@ "UACE Code": "71479", "Unlinked Passenger Trips": 7349, "Passenger Paid Fares": 12724, - "Average Fare": 1.7313920261260036 + "Average Fare": 1.7313920261260036, + "Average Passengers": 1.0888598842951884 }, { "NTD ID": 40192, @@ -6384,7 +6898,8 @@ "All Fuels (Wh/pkm)": 3495.756871486702, "Unlinked Passenger Trips": 6821, "Passenger Paid Fares": 20259, - "Average Fare": 2.9700923618237796 + "Average Fare": 2.9700923618237796, + "Average Passengers": 0.7191053875062738 }, { "NTD ID": 40192, @@ -6392,7 +6907,8 @@ "UACE Code": "71479", "Unlinked Passenger Trips": 76118, "Passenger Paid Fares": 66420, - "Average Fare": 0.8725925536666754 + "Average Fare": 0.8725925536666754, + "Average Passengers": 1.3392502045438537 }, { "NTD ID": 40196, @@ -6404,7 +6920,8 @@ "All Fuels (Wh/pkm)": 250.8153244535849, "Unlinked Passenger Trips": 174330, "Passenger Paid Fares": 501565, - "Average Fare": 2.8771009005908335 + "Average Fare": 2.8771009005908335, + "Average Passengers": 5.114782706915539 }, { "NTD ID": 40200, @@ -6416,7 +6933,8 @@ "All Fuels (Wh/pkm)": 305.70731155675634, "Unlinked Passenger Trips": 223601, "Passenger Paid Fares": 1141189, - "Average Fare": 5.103684688351126 + "Average Fare": 5.103684688351126, + "Average Passengers": 4.251859951769848 }, { "NTD ID": 40203, @@ -6428,7 +6946,8 @@ "All Fuels (Wh/pkm)": 148.47927812758138, "Unlinked Passenger Trips": 731196, "Passenger Paid Fares": 2800569, - "Average Fare": 3.830120788406939 + "Average Fare": 3.830120788406939, + "Average Passengers": 5.759626343416878 }, { "NTD ID": 40208, @@ -6440,7 +6959,8 @@ "Diesel (Wh/pkm)": 993.2928686430591, "Electric (Wh/pkm)": 41.581898342648465, "All Fuels (Wh/pkm)": 798.7306484711527, - "Unlinked Passenger Trips": 1603468 + "Unlinked Passenger Trips": 1603468, + "Average Passengers": 5.535593353753951 }, { "NTD ID": 40222, @@ -6452,7 +6972,8 @@ "All Fuels (Wh/pkm)": 3162.29022622271, "Unlinked Passenger Trips": 180328, "Passenger Paid Fares": 74149, - "Average Fare": 0.41118961004391996 + "Average Fare": 0.41118961004391996, + "Average Passengers": 0.9340834934123827 }, { "NTD ID": 40224, @@ -6467,7 +6988,8 @@ "All Fuels (Wh/pkm)": 1772.1020163427238, "Unlinked Passenger Trips": 108834, "Passenger Paid Fares": 81829, - "Average Fare": 0.7518698200929856 + "Average Fare": 0.7518698200929856, + "Average Passengers": 0.9742814191449248 }, { "NTD ID": 40224, @@ -6479,7 +7001,8 @@ "All Fuels (Wh/pkm)": 1389.3029941630618, "Unlinked Passenger Trips": 22855, "Passenger Paid Fares": 11324, - "Average Fare": 0.49547145044847957 + "Average Fare": 0.49547145044847957, + "Average Passengers": 1.84220112788539 }, { "NTD ID": 40228, @@ -6491,7 +7014,8 @@ "All Fuels (Wh/pkm)": 2217.737957809024, "Unlinked Passenger Trips": 72022, "Passenger Paid Fares": 40939, - "Average Fare": 0.5684235372525062 + "Average Fare": 0.5684235372525062, + "Average Passengers": 1.362232732914043 }, { "NTD ID": 40230, @@ -6503,7 +7027,8 @@ "All Fuels (Wh/pkm)": 1182.2608148089246, "Unlinked Passenger Trips": 387978, "Passenger Paid Fares": 160794, - "Average Fare": 0.41444102500657254 + "Average Fare": 0.41444102500657254, + "Average Passengers": 6.027783746260516 }, { "NTD ID": 40232, @@ -6515,7 +7040,8 @@ "All Fuels (Wh/pkm)": 1024.1769620300138, "Unlinked Passenger Trips": 831460, "Passenger Paid Fares": 1701144, - "Average Fare": 2.045972145382821 + "Average Fare": 2.045972145382821, + "Average Passengers": 40.63176040373509 }, { "NTD ID": 40244, @@ -6528,7 +7054,8 @@ "All Fuels (Wh/pkm)": 2201.4740440191385, "Unlinked Passenger Trips": 139701, "Passenger Paid Fares": 121461, - "Average Fare": 0.869435437112118 + "Average Fare": 0.869435437112118, + "Average Passengers": 1.313735082150313 }, { "NTD ID": 40258, @@ -6536,7 +7063,8 @@ "UACE Code": "86599", "Unlinked Passenger Trips": 45437, "Passenger Paid Fares": 10162, - "Average Fare": 0.22365032902700444 + "Average Fare": 0.22365032902700444, + "Average Passengers": 1.2028862847222224 }, { "NTD ID": 40264, @@ -6548,7 +7076,8 @@ "All Fuels (Wh/pkm)": 646.058994961608, "Unlinked Passenger Trips": 1687030, "Passenger Paid Fares": 4473716, - "Average Fare": 2.6518295465996453 + "Average Fare": 2.6518295465996453, + "Average Passengers": 7.248316315097463 }, { "NTD ID": 40265, @@ -6560,7 +7089,8 @@ "All Fuels (Wh/pkm)": 2053.871661229236, "Unlinked Passenger Trips": 157767, "Passenger Paid Fares": 112793, - "Average Fare": 0.7149340483117509 + "Average Fare": 0.7149340483117509, + "Average Passengers": 1.1421312034299935 }, { "NTD ID": 40928, @@ -6574,7 +7104,8 @@ "All Fuels (Wh/pkm)": 1043.3516668512557, "Unlinked Passenger Trips": 318721, "Passenger Paid Fares": 482452, - "Average Fare": 1.5137126201285764 + "Average Fare": 1.5137126201285764, + "Average Passengers": 3.051450081448487 }, { "NTD ID": 40950, @@ -6587,7 +7118,8 @@ "All Fuels (Wh/pkm)": 1397.8396435515053, "Unlinked Passenger Trips": 173314, "Passenger Paid Fares": 340307, - "Average Fare": 1.9635286243465617 + "Average Fare": 1.9635286243465617, + "Average Passengers": 0.9712388591406266 }, { "NTD ID": 41068, @@ -6599,7 +7131,8 @@ "All Fuels (Wh/pkm)": 1144.9925488260233, "Unlinked Passenger Trips": 109590, "Passenger Paid Fares": 163140, - "Average Fare": 1.488639474404599 + "Average Fare": 1.488639474404599, + "Average Passengers": 2.093022894404764 }, { "NTD ID": 41105, @@ -6613,13 +7146,15 @@ "All Fuels (Wh/pkm)": 2630.1144034082395, "Unlinked Passenger Trips": 190731, "Passenger Paid Fares": 172374, - "Average Fare": 0.9037545024143951 + "Average Fare": 0.9037545024143951, + "Average Passengers": 0.9614341084304222 }, { "NTD ID": 44929, "Mode": "FB", "UACE Code": "56602", - "Unlinked Passenger Trips": 46490 + "Unlinked Passenger Trips": 46490, + "Average Passengers": 1.4072051255120261 }, { "NTD ID": 44929, @@ -6631,7 +7166,8 @@ "All Fuels (Wh/pkm)": 1236.609232616885, "Unlinked Passenger Trips": 301753, "Passenger Paid Fares": 128650, - "Average Fare": 0.42634207447813277 + "Average Fare": 0.42634207447813277, + "Average Passengers": 3.850548138319927 }, { "NTD ID": 50001, @@ -6645,7 +7181,8 @@ "All Fuels (Wh/pkm)": 1248.7786188394657, "Unlinked Passenger Trips": 1002620, "Passenger Paid Fares": 801959, - "Average Fare": 0.7998633580020347 + "Average Fare": 0.7998633580020347, + "Average Passengers": 3.9800613587545945 }, { "NTD ID": 50002, @@ -6657,7 +7194,8 @@ "All Fuels (Wh/pkm)": 2788.779268656547, "Unlinked Passenger Trips": 34637, "Passenger Paid Fares": 100795, - "Average Fare": 2.9100383982446516 + "Average Fare": 2.9100383982446516, + "Average Passengers": 0.9531133592808951 }, { "NTD ID": 50002, @@ -6669,7 +7207,8 @@ "All Fuels (Wh/pkm)": 1580.643170177687, "Unlinked Passenger Trips": 1275835, "Passenger Paid Fares": 710404, - "Average Fare": 0.556814948641478 + "Average Fare": 0.556814948641478, + "Average Passengers": 3.159146114817385 }, { "NTD ID": 50003, @@ -6681,7 +7220,8 @@ "All Fuels (Wh/pkm)": 1275.6999339989677, "Unlinked Passenger Trips": 1338109, "Passenger Paid Fares": 1617558, - "Average Fare": 1.2088387418364275 + "Average Fare": 1.2088387418364275, + "Average Passengers": 3.728452588948841 }, { "NTD ID": 50003, @@ 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2.9517365563528224, + "Average Passengers": 1.1392822616947953 }, { "NTD ID": 50006, @@ -6741,7 +7285,8 @@ "All Fuels (Wh/pkm)": 1722.406804057274, "Unlinked Passenger Trips": 1074596, "Passenger Paid Fares": 988222, - "Average Fare": 0.9196218858063868 + "Average Fare": 0.9196218858063868, + "Average Passengers": 3.209797824222101 }, { "NTD ID": 50008, @@ -6753,7 +7298,8 @@ "All Fuels (Wh/pkm)": 788.265121120865, "Unlinked Passenger Trips": 30429789, "Passenger Paid Fares": 22844902, - "Average Fare": 0.7507413870007446 + "Average Fare": 0.7507413870007446, + "Average Passengers": 5.986826837352635 }, { "NTD ID": 50009, @@ -6765,7 +7311,8 @@ "All Fuels (Wh/pkm)": 1690.535057100338, "Unlinked Passenger Trips": 867598, "Passenger Paid Fares": 483223, - "Average Fare": 0.5569664752569738 + "Average Fare": 0.5569664752569738, + "Average Passengers": 3.2161847467494664 }, { "NTD ID": 50010, @@ -6779,7 +7326,8 @@ "All Fuels (Wh/pkm)": 3643.491669803211, "Unlinked Passenger Trips": 270815, "Passenger Paid Fares": 632335, - "Average Fare": 2.334933441648358 + "Average Fare": 2.334933441648358, + "Average Passengers": 0.7338649933751826 }, { "NTD ID": 50010, @@ -6793,7 +7341,8 @@ "All Fuels (Wh/pkm)": 648.005208826468, "Unlinked Passenger Trips": 4872140, "Passenger Paid Fares": 3070267, - "Average Fare": 0.6301680575681323 + "Average Fare": 0.6301680575681323, + "Average Passengers": 4.467439900859115 }, { "NTD ID": 50011, @@ -6807,7 +7356,8 @@ "All Fuels (Wh/pkm)": 1773.041222577341, "Unlinked Passenger Trips": 161267, "Passenger Paid Fares": 372726, - "Average Fare": 2.3112354046395107 + "Average Fare": 2.3112354046395107, + "Average Passengers": 0.965503813231891 }, { "NTD ID": 50011, @@ -6821,7 +7371,8 @@ "All Fuels (Wh/pkm)": 538.9246829552344, "Unlinked Passenger Trips": 2290017, "Passenger Paid Fares": 1617073, - "Average Fare": 0.7061401727585428 + "Average Fare": 0.7061401727585428, + "Average Passengers": 6.276092460404612 }, { "NTD ID": 50012, @@ -6833,7 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2.9219366814829955, + "Average Passengers": 0.6416694422680976 }, { "NTD ID": 50015, @@ -6881,7 +7436,8 @@ "UACE Code": "17668", "Unlinked Passenger Trips": 6273379, "Passenger Paid Fares": 7756829, - "Average Fare": 1.2364674603590824 + "Average Fare": 1.2364674603590824, + "Average Passengers": 39.74889305554377 }, { "NTD ID": 50015, @@ -6889,7 +7445,8 @@ "UACE Code": "17668", "Unlinked Passenger Trips": 1638170, "Passenger Paid Fares": 2751696, - "Average Fare": 1.6797377561547335 + "Average Fare": 1.6797377561547335, + "Average Passengers": 13.993913171767753 }, { "NTD ID": 50015, @@ -6903,7 +7460,8 @@ "All Fuels (Wh/pkm)": 619.8348550655903, "Unlinked Passenger Trips": 22866545, "Passenger Paid Fares": 28870549, - "Average Fare": 1.2625671696358152 + "Average Fare": 1.2625671696358152, + "Average Passengers": 6.848180868765184 }, { "NTD ID": 50015, @@ -6915,7 +7473,8 @@ "All Fuels (Wh/pkm)": 572.5611455504826, "Unlinked Passenger Trips": 3764271, "Passenger Paid Fares": 4457439, - "Average Fare": 1.184144021511735 + "Average Fare": 1.184144021511735, + "Average Passengers": 17.986032551819214 }, { "NTD ID": 50015, @@ -6927,7 +7486,8 @@ "All Fuels (Wh/pkm)": 248.29544719008587, "Unlinked Passenger Trips": 21156, "Passenger Paid Fares": 94633, - "Average Fare": 4.473104556626962 + "Average Fare": 4.473104556626962, + "Average Passengers": 5.042502035611682 }, { "NTD ID": 50016, @@ -6941,7 +7501,8 @@ "All Fuels (Wh/pkm)": 2858.61707827572, "Unlinked Passenger Trips": 291455, "Passenger Paid Fares": 845027, - "Average Fare": 2.8993395206807224 + "Average Fare": 2.8993395206807224, + "Average Passengers": 0.7458572194802702 }, { "NTD ID": 50016, @@ -6955,7 +7516,8 @@ "All Fuels (Wh/pkm)": 700.8139910573085, "Unlinked Passenger Trips": 18913789, "Passenger Paid Fares": 18576271, - "Average Fare": 0.9821549241138304 + "Average Fare": 0.9821549241138304, + "Average Passengers": 4.378666536765114 }, { "NTD ID": 50017, @@ -6967,7 +7529,8 @@ "All Fuels (Wh/pkm)": 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0.8845020205929188 }, { "NTD ID": 50021, @@ -7019,7 +7585,8 @@ "All Fuels (Wh/pkm)": 1686.5477145274267, "Unlinked Passenger Trips": 1140362, "Passenger Paid Fares": 177138, - "Average Fare": 0.15533488488743047 + "Average Fare": 0.15533488488743047, + "Average Passengers": 3.3850061223683694 }, { "NTD ID": 50022, @@ -7031,7 +7598,8 @@ "All Fuels (Wh/pkm)": 2183.898486953794, "Unlinked Passenger Trips": 292855, "Passenger Paid Fares": 728960, - "Average Fare": 2.4891499206091754 + "Average Fare": 2.4891499206091754, + "Average Passengers": 1.1931887278010993 }, { "NTD ID": 50022, @@ -7045,7 +7613,8 @@ "All Fuels (Wh/pkm)": 1892.5868770164736, "Unlinked Passenger Trips": 2257703, "Passenger Paid Fares": 5046049, - "Average Fare": 2.2350366722283668 + "Average Fare": 2.2350366722283668, + "Average Passengers": 2.8748859515591434 }, { "NTD ID": 50024, @@ -7059,7 +7628,8 @@ "All Fuels (Wh/pkm)": 2342.1897432679893, "Unlinked Passenger Trips": 46884, "Passenger Paid Fares": 93080, - 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"Average Fare": 2.0760404683951275 + "Average Fare": 2.0760404683951275, + "Average Passengers": 0.5733300501432665 }, { "NTD ID": 50034, @@ -7359,7 +7951,8 @@ "All Fuels (Wh/pkm)": 1513.5118241244834, "Unlinked Passenger Trips": 476803, "Passenger Paid Fares": 342210, - "Average Fare": 0.7177177995943818 + "Average Fare": 0.7177177995943818, + "Average Passengers": 3.8172074458454843 }, { "NTD ID": 50035, @@ -7373,7 +7966,8 @@ "All Fuels (Wh/pkm)": 1946.9241474821765, "Unlinked Passenger Trips": 164456, "Passenger Paid Fares": 607745, - "Average Fare": 3.695486938755655 + "Average Fare": 3.695486938755655, + "Average Passengers": 1.127158045923904 }, { "NTD ID": 50035, @@ -7385,7 +7979,8 @@ "All Fuels (Wh/pkm)": 867.0102324504188, "Unlinked Passenger Trips": 2671067, "Passenger Paid Fares": 2647756, - "Average Fare": 0.9912727760104857 + "Average Fare": 0.9912727760104857, + "Average Passengers": 6.1454136526515795 }, { "NTD ID": 50036, @@ -7399,7 +7994,8 @@ "All Fuels (Wh/pkm)": 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3.5667238548721714 }, { "NTD ID": 50040, @@ -7443,7 +8042,8 @@ "UACE Code": "02602", "Unlinked Passenger Trips": 117372, "Passenger Paid Fares": 1070761, - "Average Fare": 9.122797600790648 + "Average Fare": 9.122797600790648, + "Average Passengers": 7.627267764655757 }, { "NTD ID": 50040, @@ -7453,7 +8053,8 @@ "Diesel (Wh/pkm)": 3515.0373430277245, "Unlinked Passenger Trips": 166583, "Passenger Paid Fares": 689841, - "Average Fare": 4.141124844672025 + "Average Fare": 4.141124844672025, + "Average Passengers": 0.7894019123629135 }, { "NTD ID": 50040, @@ -7465,7 +8066,8 @@ "All Fuels (Wh/pkm)": 840.0755223246339, "Unlinked Passenger Trips": 6617835, "Passenger Paid Fares": 2103419, - "Average Fare": 0.3178409555390849 + "Average Fare": 0.3178409555390849, + "Average Passengers": 6.276339135480754 }, { "NTD ID": 50040, @@ -7477,7 +8079,8 @@ "All Fuels (Wh/pkm)": 204.72645458673057, "Unlinked Passenger Trips": 234442, "Passenger Paid Fares": 835520, - "Average Fare": 3.5638665426843312 + "Average Fare": 3.5638665426843312, + "Average Passengers": 4.164074294341003 }, { "NTD ID": 50043, @@ -7491,7 +8094,8 @@ "All Fuels (Wh/pkm)": 3233.31203993312, "Unlinked Passenger Trips": 65126, "Passenger Paid Fares": 342502, - "Average Fare": 5.259067039277708 + "Average Fare": 5.259067039277708, + "Average Passengers": 1.0713264093939403 }, { "NTD ID": 50043, @@ -7503,7 +8107,8 @@ "All Fuels (Wh/pkm)": 878.9583118278003, "Unlinked Passenger Trips": 1410383, "Passenger Paid Fares": 886018, - "Average Fare": 0.6282109185944527 + "Average Fare": 0.6282109185944527, + "Average Passengers": 4.359453188549667 }, { "NTD ID": 50044, @@ -7515,7 +8120,8 @@ "All Fuels (Wh/pkm)": 1733.3396501795942, "Unlinked Passenger Trips": 73939, "Passenger Paid Fares": 180850, - "Average Fare": 2.44593516276931 + "Average Fare": 2.44593516276931, + "Average Passengers": 1.3352102817937397 }, { "NTD ID": 50044, @@ -7527,7 +8133,8 @@ "All Fuels (Wh/pkm)": 1224.2264623778528, "Unlinked Passenger Trips": 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"Average Passengers": 1.2924961842884428 }, { "NTD ID": 50051, @@ -7631,7 +8245,8 @@ "All Fuels (Wh/pkm)": 538.2005678201555, "Unlinked Passenger Trips": 4713280, "Passenger Paid Fares": 543994, - "Average Fare": 0.11541728902165796 + "Average Fare": 0.11541728902165796, + "Average Passengers": 6.243566984239596 }, { "NTD ID": 50052, @@ -7645,7 +8260,8 @@ "All Fuels (Wh/pkm)": 1809.2349191155581, "Unlinked Passenger Trips": 75527, "Passenger Paid Fares": 149374, - "Average Fare": 1.9777562990718551 + "Average Fare": 1.9777562990718551, + "Average Passengers": 1.5618798408508399 }, { "NTD ID": 50052, @@ -7659,7 +8275,8 @@ "All Fuels (Wh/pkm)": 1007.0541154984039, "Unlinked Passenger Trips": 1523104, "Passenger Paid Fares": 1218390, - "Average Fare": 0.7999388091686451 + "Average Fare": 0.7999388091686451, + "Average Passengers": 3.0895973291391092 }, { "NTD ID": 50053, @@ -7673,7 +8290,8 @@ "All Fuels (Wh/pkm)": 3089.7662714742432, "Unlinked Passenger Trips": 17828, "Passenger Paid 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"Average Fare": 2.8942692932939083, + "Average Passengers": 1.1482886989642096 }, { "NTD ID": 50059, @@ -7827,7 +8456,8 @@ "All Fuels (Wh/pkm)": 1317.013488975891, "Unlinked Passenger Trips": 1544731, "Passenger Paid Fares": 816141, - "Average Fare": 0.5283385909909233 + "Average Fare": 0.5283385909909233, + "Average Passengers": 3.9738848042217687 }, { "NTD ID": 50060, @@ -7839,7 +8469,8 @@ "All Fuels (Wh/pkm)": 2872.4485157184845, "Unlinked Passenger Trips": 128525, "Passenger Paid Fares": 288677, - "Average Fare": 2.2460766387862283 + "Average Fare": 2.2460766387862283, + "Average Passengers": 1.549153998920556 }, { "NTD ID": 50060, @@ -7851,7 +8482,8 @@ "All Fuels (Wh/pkm)": 698.4905559055678, "Unlinked Passenger Trips": 11392193, "Passenger Paid Fares": 7457926, - "Average Fare": 0.6546523571010427 + "Average Fare": 0.6546523571010427, + "Average Passengers": 6.462083384585125 }, { "NTD ID": 50061, @@ -7865,7 +8497,8 @@ "All Fuels (Wh/pkm)": 4682.994862544386, "Unlinked Passenger 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ID": 50092, @@ -7913,7 +8549,8 @@ "All Fuels (Wh/pkm)": 2242.9296767353635, "Unlinked Passenger Trips": 25944, "Passenger Paid Fares": 75591, - "Average Fare": 2.9136216466234965 + "Average Fare": 2.9136216466234965, + "Average Passengers": 0.9642431013536967 }, { "NTD ID": 50092, @@ -7925,7 +8562,8 @@ "All Fuels (Wh/pkm)": 989.91957154819, "Unlinked Passenger Trips": 2010145, "Passenger Paid Fares": 2839103, - "Average Fare": 1.412387166099958 + "Average Fare": 1.412387166099958, + "Average Passengers": 4.474824496082974 }, { "NTD ID": 50096, @@ -7937,7 +8575,8 @@ "All Fuels (Wh/pkm)": 4738.869822430757, "Unlinked Passenger Trips": 14733, "Passenger Paid Fares": 63351, - "Average Fare": 4.299938912645082 + "Average Fare": 4.299938912645082, + "Average Passengers": 0.8928243307460795 }, { "NTD ID": 50096, @@ -7949,7 +8588,8 @@ "All Fuels (Wh/pkm)": 1424.0311183187196, "Unlinked Passenger Trips": 870203, "Passenger Paid Fares": 878027, - "Average Fare": 1.0089910055469815 + "Average Fare": 1.0089910055469815, + "Average Passengers": 3.4598271014366526 }, { "NTD ID": 50099, @@ -7961,7 +8601,8 @@ "All Fuels (Wh/pkm)": 1517.5816051439624, "Unlinked Passenger Trips": 906130, "Passenger Paid Fares": 896177, - "Average Fare": 0.9890159248672927 + "Average Fare": 0.9890159248672927, + "Average Passengers": 3.2842432946803166 }, { "NTD ID": 50104, @@ -7973,7 +8614,8 @@ "All Fuels (Wh/pkm)": 23.325952923459575, "Unlinked Passenger Trips": 3400197, "Passenger Paid Fares": 22789177, - "Average Fare": 6.7023107778755175 + "Average Fare": 6.7023107778755175, + "Average Passengers": 142.39882634656692 }, { "NTD ID": 50110, @@ -7985,7 +8627,8 @@ "All Fuels (Wh/pkm)": 3345.8657556283924, "Unlinked Passenger Trips": 36428, "Passenger Paid Fares": 46391, - "Average Fare": 1.273498407818162 + "Average Fare": 1.273498407818162, + "Average Passengers": 1.0207014531382148 }, { "NTD ID": 50110, @@ -7999,7 +8642,8 @@ "All Fuels (Wh/pkm)": 954.2118829596242, "Unlinked Passenger Trips": 3104755, "Passenger Paid Fares": 478865, - "Average Fare": 0.15423600251871725 + "Average Fare": 0.15423600251871725, + "Average Passengers": 6.367910983488873 }, { "NTD ID": 50113, @@ -8013,7 +8657,8 @@ "All Fuels (Wh/pkm)": 792.5894447602318, "Unlinked Passenger Trips": 929586, "Passenger Paid Fares": 1438941, - "Average Fare": 1.5479374689377852 + "Average Fare": 1.5479374689377852, + "Average Passengers": 1.2859131562149957 }, { "NTD ID": 50113, @@ -8027,7 +8672,8 @@ "All Fuels (Wh/pkm)": 779.4301829382313, "Unlinked Passenger Trips": 27673427, "Passenger Paid Fares": 32677581, - "Average Fare": 1.180828850723837 + "Average Fare": 1.180828850723837, + "Average Passengers": 5.600178096576068 }, { "NTD ID": 50113, @@ -8039,7 +8685,8 @@ "All Fuels (Wh/pkm)": 303.13881233121805, "Unlinked Passenger Trips": 1507667, "Passenger Paid Fares": 2461673, - "Average Fare": 1.6327697031240984 + "Average Fare": 1.6327697031240984, + "Average Passengers": 4.701626422849546 }, { "NTD ID": 50117, @@ -8051,7 +8698,8 @@ "All Fuels (Wh/pkm)": 557.0075045002673, "Unlinked Passenger Trips": 151869, "Passenger Paid Fares": 565756, - "Average Fare": 3.7252895587644614 + "Average Fare": 3.7252895587644614, + "Average Passengers": 6.466001321468031 }, { "NTD ID": 50117, @@ -8067,7 +8715,8 @@ "All Fuels (Wh/pkm)": 2131.2676541928686, "Unlinked Passenger Trips": 271003, "Passenger Paid Fares": 507328, - "Average Fare": 1.872038316919001 + "Average Fare": 1.872038316919001, + "Average Passengers": 0.9379926623101048 }, { "NTD ID": 50117, @@ -8079,7 +8728,8 @@ "All Fuels (Wh/pkm)": 1699.5055798317098, "Unlinked Passenger Trips": 300587, "Passenger Paid Fares": 315484, - "Average Fare": 1.0495596948637167 + "Average Fare": 1.0495596948637167, + "Average Passengers": 2.8703442364352205 }, { "NTD ID": 50118, @@ -8093,7 +8743,8 @@ "All Fuels (Wh/pkm)": 258.9410432905048, "Unlinked Passenger Trips": 68446239, "Passenger Paid Fares": 370028145, - "Average Fare": 5.406113621524186 + "Average Fare": 5.406113621524186, + "Average Passengers": 213.61405216379563 }, { "NTD ID": 50119, @@ -8105,7 +8756,8 @@ "All Fuels (Wh/pkm)": 803.3016612747701, "Unlinked Passenger Trips": 23495019, "Passenger Paid Fares": 18973620, - "Average Fare": 0.8075592533038598 + "Average Fare": 0.8075592533038598, + "Average Passengers": 6.990622788469605 }, { "NTD ID": 50141, @@ -8117,7 +8769,8 @@ "All Fuels (Wh/pkm)": 525.4790911267094, "Unlinked Passenger Trips": 1952505, "Passenger Paid Fares": 1164793, - "Average Fare": 0.5965633890822303 + "Average Fare": 0.5965633890822303, + "Average Passengers": 9.432622797590083 }, { "NTD ID": 50145, @@ -8131,7 +8784,8 @@ "All Fuels (Wh/pkm)": 3953.8005762479293, "Unlinked Passenger Trips": 94522, "Passenger Paid Fares": 3218, - "Average Fare": 0.03404498423647405 + "Average Fare": 0.03404498423647405, + "Average Passengers": 0.75945277068207 }, { "NTD ID": 50145, @@ -8141,7 +8795,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 427.3425215689357, "All Fuels (Wh/pkm)": 427.3425215689357, - "Unlinked Passenger Trips": 378552 + "Unlinked Passenger Trips": 378552, + "Average Passengers": 10.392658530810237 }, { "NTD ID": 50146, @@ -8153,7 +8808,8 @@ "All Fuels (Wh/pkm)": 2188.1155554352163, "Unlinked Passenger Trips": 60100, "Passenger Paid Fares": 207271, - "Average Fare": 3.448768718801997 + "Average Fare": 3.448768718801997, + "Average Passengers": 1.0153691285265085 }, { "NTD ID": 50146, @@ -8167,7 +8823,8 @@ "All Fuels (Wh/pkm)": 1413.053671586151, "Unlinked Passenger Trips": 2042147, "Passenger Paid Fares": 2346133, - "Average Fare": 1.1488560813692648 + "Average Fare": 1.1488560813692648, + "Average Passengers": 3.0655889626147634 }, { "NTD ID": 50146, @@ -8179,7 +8836,8 @@ "All Fuels (Wh/pkm)": 269.6014279411132, "Unlinked Passenger Trips": 113428, "Passenger Paid Fares": 164588, - "Average Fare": 1.451035017808654 + "Average Fare": 1.451035017808654, + "Average Passengers": 4.90020886113341 }, { "NTD ID": 50148, @@ -8191,7 +8849,8 @@ "All Fuels (Wh/pkm)": 818.5672988090789, "Unlinked Passenger Trips": 15869, "Passenger Paid Fares": 5025, - "Average Fare": 0.3166551137437772 + "Average Fare": 0.3166551137437772, + "Average Passengers": 4.541991341991342 }, { "NTD ID": 50148, @@ -8203,7 +8862,8 @@ "All Fuels (Wh/pkm)": 1093.8561278376546, "Unlinked Passenger Trips": 634686, "Passenger Paid Fares": 109032, - "Average Fare": 0.17178888458229738 + "Average Fare": 0.17178888458229738, + "Average Passengers": 2.013210927255628 }, { "NTD ID": 50148, @@ -8217,7 +8877,8 @@ "All Fuels (Wh/pkm)": 149.69575846952318, "Unlinked Passenger Trips": 957036, "Passenger Paid Fares": 303035, - "Average Fare": 0.31663908149745673 + "Average Fare": 0.31663908149745673, + "Average Passengers": 7.6506112614596065 }, { "NTD ID": 50149, @@ -8229,7 +8890,8 @@ "All Fuels (Wh/pkm)": 2653.8000823498937, "Unlinked Passenger Trips": 38148, "Passenger Paid Fares": 72842, - "Average Fare": 1.9094579008073818 + "Average Fare": 1.9094579008073818, + "Average Passengers": 0.5062761079719952 }, { "NTD ID": 50149, @@ -8241,7 +8903,8 @@ "All Fuels (Wh/pkm)": 1089.013627820386, "Unlinked Passenger Trips": 405045, "Passenger Paid Fares": 238902, - "Average Fare": 0.5898159463763285 + "Average Fare": 0.5898159463763285, + "Average Passengers": 3.8710092346200278 }, { "NTD ID": 50154, @@ -8253,7 +8916,8 @@ "All Fuels (Wh/pkm)": 3023.3758361897776, "Unlinked Passenger Trips": 249133, "Passenger Paid Fares": 957533, - "Average Fare": 3.8434611231751714 + "Average Fare": 3.8434611231751714, + "Average Passengers": 0.986202408018696 }, { "NTD ID": 50154, @@ -8267,7 +8931,8 @@ "All Fuels (Wh/pkm)": 1246.8376822114506, "Unlinked Passenger Trips": 2396845, "Passenger Paid Fares": 1069029, - "Average Fare": 0.44601507398267304 + "Average Fare": 0.44601507398267304, + "Average Passengers": 2.5306587942056287 }, { "NTD ID": 50154, @@ -8279,7 +8944,8 @@ "All Fuels (Wh/pkm)": 345.4093458539444, "Unlinked Passenger Trips": 117252, "Passenger Paid Fares": 563125, - "Average Fare": 4.8026899327943235 + "Average Fare": 4.8026899327943235, + "Average Passengers": 3.477063247441746 }, { "NTD ID": 50155, @@ -8291,7 +8957,8 @@ "All Fuels (Wh/pkm)": 2793.6085107392796, "Unlinked Passenger Trips": 2297680, "Passenger Paid Fares": 6536720, - "Average Fare": 2.8449218341979736 + "Average Fare": 2.8449218341979736, + "Average Passengers": 1.0004682784649435 }, { "NTD ID": 50157, @@ -8299,7 +8966,8 @@ "UACE Code": "16885", "Unlinked Passenger Trips": 83864, "Passenger Paid Fares": 65622, - "Average Fare": 0.78248115997329 + "Average Fare": 0.78248115997329, + "Average Passengers": 1.6795477964489538 }, { "NTD ID": 50157, @@ -8311,7 +8979,8 @@ "All Fuels (Wh/pkm)": 4782.427338418719, "Unlinked Passenger Trips": 29193, "Passenger Paid Fares": 58028, - "Average Fare": 1.9877367862158737 + "Average Fare": 1.9877367862158737, + "Average Passengers": 0.661919355394098 }, { "NTD ID": 50157, @@ -8325,7 +8994,8 @@ "All Fuels (Wh/pkm)": 555.7186446182715, "Unlinked Passenger Trips": 508084, "Passenger Paid Fares": 372456, - "Average Fare": 0.7330598877350989 + "Average Fare": 0.7330598877350989, + "Average Passengers": 2.9231380821676995 }, { "NTD ID": 50158, @@ -8335,7 +9005,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 432.6219316489267, "All Fuels (Wh/pkm)": 432.6219316489267, - "Unlinked Passenger Trips": 7669071 + "Unlinked Passenger Trips": 7669071, + "Average Passengers": 11.321235531244735 }, { "NTD ID": 50159, @@ -8349,7 +9020,8 @@ "All Fuels (Wh/pkm)": 2415.584573227247, "Unlinked Passenger Trips": 17488, "Passenger Paid Fares": 8614, - "Average Fare": 0.49256633119853616 + "Average Fare": 0.49256633119853616, + "Average Passengers": 1.288476097272744 }, { "NTD ID": 50159, @@ -8361,7 +9033,8 @@ "All Fuels (Wh/pkm)": 895.4965967545954, "Unlinked Passenger Trips": 637007, "Passenger Paid Fares": 269083, - "Average Fare": 0.4224176500415223 + "Average Fare": 0.4224176500415223, + "Average Passengers": 4.908870223770159 }, { "NTD ID": 50160, @@ -8375,7 +9048,8 @@ "All Fuels (Wh/pkm)": 2311.389151601641, "Unlinked Passenger Trips": 91797, "Passenger Paid Fares": 278443, - "Average Fare": 3.0332472738760528 + "Average Fare": 3.0332472738760528, + "Average Passengers": 0.8096529429595131 }, { "NTD ID": 50161, @@ -8387,7 +9061,8 @@ "All Fuels (Wh/pkm)": 208.5215554394077, "Unlinked Passenger Trips": 92152, "Passenger Paid Fares": 242470, - "Average Fare": 2.6311962843996874 + "Average Fare": 2.6311962843996874, + "Average Passengers": 7.357280054506182 }, { "NTD ID": 50161, @@ -8399,7 +9074,8 @@ "All Fuels (Wh/pkm)": 2290.274023346306, "Unlinked Passenger Trips": 112135, "Passenger Paid Fares": 273056, - "Average Fare": 2.4350648771569983 + "Average Fare": 2.4350648771569983, + "Average Passengers": 0.6428320729249184 }, { "NTD ID": 50163, @@ -8413,7 +9089,8 @@ "All Fuels (Wh/pkm)": 2437.6359163371403, "Unlinked Passenger Trips": 124899, "Passenger Paid Fares": 156004, - "Average Fare": 1.2490412253100505 + "Average Fare": 1.2490412253100505, + "Average Passengers": 0.8762495471359927 }, { "NTD ID": 50165, @@ -8425,7 +9102,8 @@ "All Fuels (Wh/pkm)": 1910.1582209455548, "Unlinked Passenger Trips": 180822, "Passenger Paid Fares": 110746, - "Average Fare": 0.6124586610036389 + "Average Fare": 0.6124586610036389, + "Average Passengers": 1.287179212006021 }, { "NTD ID": 50166, @@ -8439,7 +9117,8 @@ "All Fuels (Wh/pkm)": 1988.4329318658079, "Unlinked Passenger Trips": 76526, "Passenger Paid Fares": 43679, - "Average Fare": 0.5707733319394716 + "Average Fare": 0.5707733319394716, + "Average Passengers": 0.9611639475775615 }, { "NTD ID": 50166, @@ -8447,7 +9126,8 @@ "UACE Code": "16885", "Unlinked Passenger Trips": 44941, "Passenger Paid Fares": 233977, - "Average Fare": 5.206314946262878 + "Average Fare": 5.206314946262878, + "Average Passengers": 3.3114270313451297 }, { "NTD ID": 50169, @@ -8459,7 +9139,8 @@ "All Fuels (Wh/pkm)": 3325.1826081140844, "Unlinked Passenger Trips": 43820, "Passenger Paid Fares": 93277, - "Average Fare": 2.1286398904609767 + "Average Fare": 2.1286398904609767, + "Average Passengers": 0.788421324784115 }, { "NTD ID": 50182, @@ -8473,7 +9154,8 @@ "All Fuels (Wh/pkm)": 1863.0903552172651, "Unlinked Passenger Trips": 3846989, "Passenger Paid Fares": 8360500, - "Average Fare": 2.1732580987364405 + "Average Fare": 2.1732580987364405, + "Average Passengers": 1.0357051942513102 }, { "NTD ID": 50184, @@ -8485,7 +9167,8 @@ "All Fuels (Wh/pkm)": 2862.2377999833134, "Unlinked Passenger Trips": 88732, "Passenger Paid Fares": 130206, - "Average Fare": 1.4674074741919487 + "Average Fare": 1.4674074741919487, + "Average Passengers": 0.9606579163436532 }, { "NTD ID": 50184, @@ -8499,7 +9182,8 @@ "All Fuels (Wh/pkm)": 1527.0185391672055, "Unlinked Passenger Trips": 341507, "Passenger Paid Fares": 155648, - "Average Fare": 0.45576811017050894 + "Average Fare": 0.45576811017050894, + "Average Passengers": 3.071478628088798 }, { "NTD ID": 50191, @@ -8511,7 +9195,8 @@ "All Fuels (Wh/pkm)": 211.84929716595965, "Unlinked Passenger Trips": 69006, "Passenger Paid Fares": 340251, - "Average Fare": 4.930745152595427 + "Average Fare": 4.930745152595427, + "Average Passengers": 4.966998103682122 }, { "NTD ID": 50193, @@ -8523,7 +9208,8 @@ "All Fuels (Wh/pkm)": 204.3049912338193, "Unlinked Passenger Trips": 902693, "Passenger Paid Fares": 4095713, - "Average Fare": 4.537215864086683 + "Average Fare": 4.537215864086683, + "Average Passengers": 5.042650715927988 }, { "NTD ID": 50198, @@ -8537,7 +9223,8 @@ "All Fuels (Wh/pkm)": 2290.9677980873143, "Unlinked Passenger Trips": 37529, "Passenger Paid Fares": 34271, - "Average Fare": 0.9131871352820485 + "Average Fare": 0.9131871352820485, + "Average Passengers": 1.1179090282815842 }, { "NTD ID": 50198, @@ -8551,7 +9238,8 @@ "All Fuels (Wh/pkm)": 1838.6613808859124, "Unlinked Passenger Trips": 39213, "Passenger Paid Fares": 13509, - "Average Fare": 0.34450309846224464 + "Average Fare": 0.34450309846224464, + "Average Passengers": 1.4528866668789604 }, { "NTD ID": 50199, @@ -8563,7 +9251,8 @@ "All Fuels (Wh/pkm)": 2974.9835395011805, "Unlinked Passenger Trips": 24007, "Passenger Paid Fares": 34706, - "Average Fare": 1.445661682009414 + "Average Fare": 1.445661682009414, + "Average Passengers": 0.546244488665184 }, { "NTD ID": 50199, @@ -8571,7 +9260,8 @@ "UACE Code": "19234", "Unlinked Passenger Trips": 46693, "Passenger Paid Fares": 28388, - "Average Fare": 0.6079712162422632 + "Average Fare": 0.6079712162422632, + "Average Passengers": 1.2299358594297418 }, { "NTD ID": 50209, @@ -8583,7 +9273,8 @@ "All Fuels (Wh/pkm)": 174.71501436174822, "Unlinked Passenger Trips": 76119, "Passenger Paid Fares": 229587, - "Average Fare": 3.0161589090765775 + "Average Fare": 3.0161589090765775, + "Average Passengers": 7.099810629093627 }, { "NTD ID": 50213, @@ -8595,7 +9286,8 @@ "All Fuels (Wh/pkm)": 873.965908691302, "Unlinked Passenger Trips": 1192110, "Passenger Paid Fares": 661443, - "Average Fare": 0.5548506429775776 + "Average Fare": 0.5548506429775776, + "Average Passengers": 9.689307046109587 }, { "NTD ID": 50342, @@ -8607,7 +9299,8 @@ "All Fuels (Wh/pkm)": 2614.1537394186826, "Unlinked Passenger Trips": 59559, "Passenger Paid Fares": 50498, - "Average Fare": 0.8478651421279739 + "Average Fare": 0.8478651421279739, + "Average Passengers": 0.6942459970193108 }, { "NTD ID": 50515, @@ -8617,7 +9310,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2435.748463732148, "All Fuels (Wh/pkm)": 2435.748463732148, - "Unlinked Passenger Trips": 10218 + "Unlinked Passenger Trips": 10218, + "Average Passengers": 0.8743335017118483 }, { "NTD ID": 50515, @@ -8629,7 +9323,8 @@ "Gasoline (Wh/pkm)": 1031.3493992892204, "Diesel (Wh/pkm)": 1613.4141819697868, "All Fuels (Wh/pkm)": 1536.4627316144376, - "Unlinked Passenger Trips": 3944534 + "Unlinked Passenger Trips": 3944534, + "Average Passengers": 3.8257890105471803 }, { "NTD ID": 50516, @@ -8637,7 +9332,8 @@ "UACE Code": "57628", "Unlinked Passenger Trips": 27514, "Passenger Paid Fares": 55580, - "Average Fare": 2.020062513629425 + "Average Fare": 2.020062513629425, + "Average Passengers": 0.82491271720374 }, { "NTD ID": 50516, @@ -8651,7 +9347,8 @@ "All Fuels (Wh/pkm)": 840.653056944866, "Unlinked Passenger Trips": 491823, "Passenger Paid Fares": 1089529, - "Average Fare": 2.21528680033264 + "Average Fare": 2.21528680033264, + "Average Passengers": 5.860271604682697 }, { "NTD ID": 50517, @@ -8663,7 +9360,8 @@ "All Fuels (Wh/pkm)": 3747.1679957855854, "Unlinked Passenger Trips": 36568, "Passenger Paid Fares": 52770, - "Average Fare": 1.4430649748413913 + "Average Fare": 1.4430649748413913, + "Average Passengers": 0.7892696806290306 }, { "NTD ID": 50517, @@ -8675,7 +9373,8 @@ "All Fuels (Wh/pkm)": 74.85417126646834, "Unlinked Passenger Trips": 9064, "Passenger Paid Fares": 2211174, - "Average Fare": 243.95123565754633 + "Average Fare": 243.95123565754633, + "Average Passengers": 0.9538757592158278 }, { "NTD ID": 50518, @@ -8689,7 +9388,8 @@ "All Fuels (Wh/pkm)": 2786.064532534554, "Unlinked Passenger Trips": 102511, "Passenger Paid Fares": 241662, - "Average Fare": 2.3574250568231703 + "Average Fare": 2.3574250568231703, + "Average Passengers": 0.8826545870187819 }, { "NTD ID": 50518, @@ -8701,7 +9401,8 @@ "All Fuels (Wh/pkm)": 452.25454344594164, "Unlinked Passenger Trips": 1022564, "Passenger Paid Fares": 2823781, - "Average Fare": 2.7614711646410397 + "Average Fare": 2.7614711646410397, + "Average Passengers": 11.672936793196657 }, { "NTD ID": 50519, @@ -8715,7 +9416,8 @@ "All Fuels (Wh/pkm)": 945.9487193702, "Unlinked Passenger Trips": 2619791, "Passenger Paid Fares": 5848323, - "Average Fare": 2.2323624289113138 + "Average Fare": 2.2323624289113138, + "Average Passengers": 5.029438043932068 }, { "NTD ID": 50521, @@ -8727,7 +9429,8 @@ "All Fuels (Wh/pkm)": 1012.999065222232, "Unlinked Passenger Trips": 403032, "Passenger Paid Fares": 1488297, - "Average Fare": 3.6927514440540703 + "Average Fare": 3.6927514440540703, + "Average Passengers": 16.374275833204837 }, { "NTD ID": 50522, @@ -8735,7 +9438,8 @@ "UACE Code": "58357", "Unlinked Passenger Trips": 136166, "Passenger Paid Fares": 124420, - "Average Fare": 0.9137376437583538 + "Average Fare": 0.9137376437583538, + "Average Passengers": 1.5238998410275841 }, { "NTD ID": 50522, @@ -8747,7 +9451,8 @@ "All Fuels (Wh/pkm)": 554.2723238838138, "Unlinked Passenger Trips": 278229, "Passenger Paid Fares": 150073, - "Average Fare": 0.5393866203738646 + "Average Fare": 0.5393866203738646, + "Average Passengers": 2.9659935169616394 }, { "NTD ID": 55312, @@ -8755,7 +9460,8 @@ "UACE Code": "57466", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Unlinked Passenger Trips": 156683 + "Unlinked Passenger Trips": 156683, + "Average Passengers": 10.845500505561173 }, { "NTD ID": 60006, @@ -8767,7 +9473,8 @@ "All Fuels (Wh/pkm)": 729.2907577544192, "Unlinked Passenger Trips": 323674, "Passenger Paid Fares": 681632, - "Average Fare": 2.105921390040596 + "Average Fare": 2.105921390040596, + "Average Passengers": 0.9607491648286776 }, { "NTD ID": 60006, @@ -8781,7 +9488,8 @@ "All Fuels (Wh/pkm)": 174.90207691603902, "Unlinked Passenger Trips": 12792258, "Passenger Paid Fares": 7470682, - "Average Fare": 0.5840002601573545 + "Average Fare": 0.5840002601573545, + "Average Passengers": 9.257108525130047 }, { "NTD ID": 60007, @@ -8793,7 +9501,8 @@ "All Fuels (Wh/pkm)": 1553.3165987566445, "Unlinked Passenger Trips": 364984, "Passenger Paid Fares": 1260036, - "Average Fare": 3.452304758564759 + "Average Fare": 3.452304758564759, + "Average Passengers": 1.0052308280415214 }, { "NTD ID": 60007, @@ -8807,7 +9516,8 @@ "All Fuels (Wh/pkm)": 557.5980145516281, "Unlinked Passenger Trips": 5228822, "Passenger Paid Fares": 5906980, - "Average Fare": 1.1296961342344414 + "Average Fare": 1.1296961342344414, + "Average Passengers": 3.17523059311923 }, { "NTD ID": 60008, @@ -8819,7 +9529,8 @@ "All Fuels (Wh/pkm)": 1007.6120775859163, "Unlinked Passenger Trips": 7864779, "Passenger Paid Fares": 21916758, - "Average Fare": 2.7866972485813015 + "Average Fare": 2.7866972485813015, + "Average Passengers": 12.574271120058064 }, { "NTD ID": 60008, @@ -8827,7 +9538,8 @@ "UACE Code": "40429", "Unlinked Passenger Trips": 1774466, "Passenger Paid Fares": 1667202, - "Average Fare": 0.9395513917989976 + "Average Fare": 0.9395513917989976, + "Average Passengers": 0.8939352350813841 }, { "NTD ID": 60008, @@ -8839,7 +9551,8 @@ "All Fuels (Wh/pkm)": 159.5006384483893, "Unlinked Passenger Trips": 18980255, "Passenger Paid Fares": 4666610, - "Average Fare": 0.2458665597485387 + "Average Fare": 0.2458665597485387, + "Average Passengers": 24.510663116103597 }, { "NTD ID": 60008, @@ -8855,7 +9568,8 @@ "All Fuels (Wh/pkm)": 754.6986737386272, "Unlinked Passenger Trips": 59555011, "Passenger Paid Fares": 29013633, - "Average Fare": 0.48717366536965295 + "Average Fare": 0.48717366536965295, + "Average Passengers": 6.979563117112731 }, { "NTD ID": 60008, @@ -8867,7 +9581,8 @@ "All Fuels (Wh/pkm)": 218.3660988883611, "Unlinked Passenger Trips": 1877327, "Passenger Paid Fares": 6654986, - "Average Fare": 3.5449263767047507 + "Average Fare": 3.5449263767047507, + "Average Passengers": 6.904879678096326 }, { "NTD ID": 60009, @@ -8881,7 +9596,8 @@ "All Fuels (Wh/pkm)": 3395.1065356911954, "Unlinked Passenger Trips": 45038, "Passenger Paid Fares": 64785, - "Average Fare": 1.4384519738887163 + "Average Fare": 1.4384519738887163, + "Average Passengers": 0.8080669801400712 }, { "NTD ID": 60009, @@ -8895,7 +9611,8 @@ "All Fuels (Wh/pkm)": 962.0795213771094, "Unlinked Passenger Trips": 2748108, "Passenger Paid Fares": 3507360, - "Average Fare": 1.2762817181857482 + "Average Fare": 1.2762817181857482, + "Average Passengers": 5.287090447230603 }, { "NTD ID": 60010, @@ -8909,7 +9626,8 @@ "All Fuels (Wh/pkm)": 2947.666182639905, "Unlinked Passenger Trips": 96391, "Passenger Paid Fares": 277489, - "Average Fare": 2.878785363778776 + "Average Fare": 2.878785363778776, + "Average Passengers": 1.0267389786691787 }, { "NTD ID": 60010, @@ -8921,7 +9639,8 @@ "All Fuels (Wh/pkm)": 1379.3398024102655, "Unlinked Passenger Trips": 3663015, "Passenger Paid Fares": 486450, - "Average Fare": 0.13280043898264135 + "Average Fare": 0.13280043898264135, + "Average Passengers": 4.361180028499615 }, { "NTD ID": 60011, @@ -8935,7 +9654,8 @@ "All Fuels (Wh/pkm)": 1797.719790689653, "Unlinked Passenger Trips": 1069601, "Passenger Paid Fares": 1968292, - "Average Fare": 1.840211443332607 + "Average Fare": 1.840211443332607, + "Average Passengers": 1.121171003148382 }, { "NTD ID": 60011, @@ -8953,7 +9673,8 @@ "All Fuels (Wh/pkm)": 529.6187787592197, "Unlinked Passenger Trips": 38312659, "Passenger Paid Fares": 17713038, - "Average Fare": 0.46232860005879517 + "Average Fare": 0.46232860005879517, + "Average Passengers": 5.722547957779669 }, { "NTD ID": 60011, @@ -8965,7 +9686,8 @@ "All Fuels (Wh/pkm)": 223.84061278386608, "Unlinked Passenger Trips": 522277, "Passenger Paid Fares": 2555355, - "Average Fare": 4.892719763650324 + "Average Fare": 4.892719763650324, + "Average Passengers": 5.393559220206009 }, { "NTD ID": 60012, @@ -8979,7 +9701,8 @@ "All Fuels (Wh/pkm)": 2479.3689246792874, "Unlinked Passenger Trips": 64880, "Passenger Paid Fares": 152638, - "Average Fare": 2.352620221948212 + "Average Fare": 2.352620221948212, + "Average Passengers": 0.8995395595719232 }, { "NTD ID": 60012, @@ -8991,7 +9714,8 @@ "All Fuels (Wh/pkm)": 1060.9342150100072, "Unlinked Passenger Trips": 1230908, "Passenger Paid Fares": 1189540, - "Average Fare": 0.9663922892693849 + "Average Fare": 0.9663922892693849, + "Average Passengers": 5.87425281059874 }, { "NTD ID": 60014, @@ -9005,7 +9729,8 @@ "All Fuels (Wh/pkm)": 337.08714738869537, "Unlinked Passenger Trips": 156404, "Passenger Paid Fares": 346661, - "Average Fare": 2.2164458709495922 + "Average Fare": 2.2164458709495922, + "Average Passengers": 8.990761261860392 }, { "NTD ID": 60014, @@ -9017,7 +9742,8 @@ "All Fuels (Wh/pkm)": 3656.1888074071308, "Unlinked Passenger Trips": 31126, "Passenger Paid Fares": 34744, - "Average Fare": 1.1162372293259655 + "Average Fare": 1.1162372293259655, + "Average Passengers": 0.7987181893754525 }, { "NTD ID": 60014, @@ -9029,7 +9755,8 @@ "All Fuels (Wh/pkm)": 859.6878198796212, "Unlinked Passenger Trips": 1395239, "Passenger Paid Fares": 890916, - "Average Fare": 0.6385400637453511 + "Average Fare": 0.6385400637453511, + "Average Passengers": 8.150072634244797 }, { "NTD ID": 60016, @@ -9037,7 +9764,8 @@ "UACE Code": "06058", "Unlinked Passenger Trips": 23036, "Passenger Paid Fares": 42117, - "Average Fare": 1.8283122069803786 + "Average Fare": 1.8283122069803786, + "Average Passengers": 0.45281141553619536 }, { "NTD ID": 60016, @@ -9049,7 +9777,8 @@ "All Fuels (Wh/pkm)": 1010.3214998045651, "Unlinked Passenger Trips": 414473, "Passenger Paid Fares": 359563, - "Average Fare": 0.8675185114591301 + "Average Fare": 0.8675185114591301, + "Average Passengers": 1.9371393836341961 }, { "NTD ID": 60017, @@ -9061,7 +9790,8 @@ "All Fuels (Wh/pkm)": 3166.4392650983527, "Unlinked Passenger Trips": 53155, "Passenger Paid Fares": 190898, - "Average Fare": 3.591346063399492 + "Average Fare": 3.591346063399492, + "Average Passengers": 0.756395720611897 }, { "NTD ID": 60017, @@ -9073,7 +9803,8 @@ "All Fuels (Wh/pkm)": 5162.78343568042, "Unlinked Passenger Trips": 8870, "Passenger Paid Fares": 24525, - "Average Fare": 2.7649379932356255 + "Average Fare": 2.7649379932356255, + "Average Passengers": 5.775890410958905 }, { "NTD ID": 60017, @@ -9087,7 +9818,8 @@ "All Fuels (Wh/pkm)": 808.5690305809313, "Unlinked Passenger Trips": 2958863, "Passenger Paid Fares": 2356574, - "Average Fare": 0.7964457969159099 + "Average Fare": 0.7964457969159099, + "Average Passengers": 5.165512987266729 }, { "NTD ID": 60017, @@ -9099,7 +9831,8 @@ "All Fuels (Wh/pkm)": 304.59470012551805, "Unlinked Passenger Trips": 3497, "Passenger Paid Fares": 13392, - "Average Fare": 3.8295682013154133 + "Average Fare": 3.8295682013154133, + "Average Passengers": 3.525356679636835 }, { "NTD ID": 60018, @@ -9111,7 +9844,8 @@ "All Fuels (Wh/pkm)": 1002.1574962437772, "Unlinked Passenger Trips": 106788, "Passenger Paid Fares": 107877, - "Average Fare": 1.0101977750309024 + "Average Fare": 1.0101977750309024, + "Average Passengers": 0.8617577499443213 }, { "NTD ID": 60018, @@ -9125,7 +9859,8 @@ "All Fuels (Wh/pkm)": 564.1339118196087, "Unlinked Passenger Trips": 2775944, "Passenger Paid Fares": 1905620, - "Average Fare": 0.6864763842498264 + "Average Fare": 0.6864763842498264, + "Average Passengers": 4.9363546991742036 }, { "NTD ID": 60019, @@ -9137,7 +9872,8 @@ "All Fuels (Wh/pkm)": 3139.610514693086, "Unlinked Passenger Trips": 263207, "Passenger Paid Fares": 397848, - "Average Fare": 1.5115403465713297 + "Average Fare": 1.5115403465713297, + "Average Passengers": 0.909691981837367 }, { "NTD ID": 60019, @@ -9151,7 +9887,8 @@ "All Fuels (Wh/pkm)": 949.3394310572855, "Unlinked Passenger Trips": 9659576, "Passenger Paid Fares": 3057931, - "Average Fare": 0.3165698991342891 + "Average Fare": 0.3165698991342891, + "Average Passengers": 5.20102578365549 }, { "NTD ID": 60022, @@ -9165,7 +9902,8 @@ "All Fuels (Wh/pkm)": 2262.133656900754, "Unlinked Passenger Trips": 87464, "Passenger Paid Fares": 98373, - "Average Fare": 1.1247256013902862 + "Average Fare": 1.1247256013902862, + "Average Passengers": 1.3455575363501453 }, { "NTD ID": 60022, @@ -9177,7 +9915,8 @@ "All Fuels (Wh/pkm)": 1275.3018427979905, "Unlinked Passenger Trips": 3875024, "Passenger Paid Fares": 1889654, - "Average Fare": 0.48764962487974267 + "Average Fare": 0.48764962487974267, + "Average Passengers": 3.9743712500371178 }, { "NTD ID": 60024, @@ -9191,7 +9930,8 @@ "All Fuels (Wh/pkm)": 1965.4496245729601, "Unlinked Passenger Trips": 64750, "Passenger Paid Fares": 154058, - "Average Fare": 2.3792741312741312 + "Average Fare": 2.3792741312741312, + "Average Passengers": 0.8687576655450074 }, { "NTD ID": 60024, @@ -9209,7 +9949,8 @@ "All Fuels (Wh/pkm)": 306.1925542450367, "Unlinked Passenger Trips": 2523868, "Passenger Paid Fares": 1650260, - "Average Fare": 0.6538614539270675 + "Average Fare": 0.6538614539270675, + "Average Passengers": 6.4710775524779915 }, { "NTD ID": 60032, @@ -9223,7 +9964,8 @@ "All Fuels (Wh/pkm)": 2402.06393262222, "Unlinked Passenger Trips": 228735, "Passenger Paid Fares": 396665, - "Average Fare": 1.7341683607668263 + "Average Fare": 1.7341683607668263, + "Average Passengers": 1.316535488447755 }, { "NTD ID": 60032, @@ -9231,7 +9973,8 @@ "UACE Code": "62677", "Unlinked Passenger Trips": 1054291, "Passenger Paid Fares": 1901002, - "Average Fare": 1.8031093882049642 + "Average Fare": 1.8031093882049642, + "Average Passengers": 24.891207857210308 }, { "NTD ID": 60032, @@ -9243,7 +9986,8 @@ "All Fuels (Wh/pkm)": 991.2298980043004, "Unlinked Passenger Trips": 9951144, "Passenger Paid Fares": 11142423, - "Average Fare": 1.1197127687027744 + "Average Fare": 1.1197127687027744, + "Average Passengers": 6.415033908743268 }, { "NTD ID": 60032, @@ -9255,7 +9999,8 @@ "All Fuels (Wh/pkm)": 198.1497689259217, "Unlinked Passenger Trips": 7747491, "Passenger Paid Fares": 6589594, - "Average Fare": 0.850545550811224 + "Average Fare": 0.850545550811224, + "Average Passengers": 12.601583324836495 }, { "NTD ID": 60033, @@ -9269,7 +10014,8 @@ "All Fuels (Wh/pkm)": 3343.5854186816155, "Unlinked Passenger Trips": 93484, "Passenger Paid Fares": 232341, - "Average Fare": 2.485355782807753 + "Average Fare": 2.485355782807753, + "Average Passengers": 0.8823346110231203 }, { "NTD ID": 60033, @@ -9283,7 +10029,8 @@ "All Fuels (Wh/pkm)": 1028.8872474920197, "Unlinked Passenger Trips": 2215044, "Passenger Paid Fares": 1631437, - "Average Fare": 0.7365257755602146 + "Average Fare": 0.7365257755602146, + "Average Passengers": 4.070639852685888 }, { "NTD ID": 60033, @@ -9295,7 +10042,8 @@ "All Fuels (Wh/pkm)": 2461.7728731762063, "Unlinked Passenger Trips": 42912, "Passenger Paid Fares": 53453, - "Average Fare": 1.2456422445935869 + "Average Fare": 1.2456422445935869, + "Average Passengers": 2.066357447445201 }, { "NTD ID": 60038, @@ -9305,7 +10053,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1303.4131374851643, "All Fuels (Wh/pkm)": 1303.4131374851643, - "Unlinked Passenger Trips": 39893 + "Unlinked Passenger Trips": 39893, + "Average Passengers": 1.4324724691150987 }, { "NTD ID": 60038, @@ -9319,7 +10068,8 @@ "All Fuels (Wh/pkm)": 331.9795677836147, "Unlinked Passenger Trips": 1510821, "Passenger Paid Fares": 361069, - "Average Fare": 0.238988602885451 + "Average Fare": 0.238988602885451, + "Average Passengers": 9.801011032732124 }, { "NTD ID": 60041, @@ -9333,7 +10083,8 @@ "All Fuels (Wh/pkm)": 3157.634361648345, "Unlinked Passenger Trips": 33731, "Passenger Paid Fares": 58183, - "Average Fare": 1.724911802199757 + "Average Fare": 1.724911802199757, + "Average Passengers": 0.8903691124184289 }, { "NTD ID": 60048, @@ -9341,7 +10092,8 @@ "UACE Code": "04384", "Unlinked Passenger Trips": 613852, "Passenger Paid Fares": 466585, - "Average Fare": 0.7600936382059519 + "Average Fare": 0.7600936382059519, + "Average Passengers": 7.097817189445217 }, { "NTD ID": 60048, @@ -9355,7 +10107,8 @@ "All Fuels (Wh/pkm)": 2818.622006797996, "Unlinked Passenger Trips": 675564, "Passenger Paid Fares": 792158, - "Average Fare": 1.172587645286013 + "Average Fare": 1.172587645286013, + "Average Passengers": 0.8495362390228346 }, { "NTD ID": 60048, @@ -9369,7 +10122,8 @@ "All Fuels (Wh/pkm)": 879.4668492156162, "Unlinked Passenger Trips": 26879274, "Passenger Paid Fares": 10302845, - "Average Fare": 0.38330071712502356 + "Average Fare": 0.38330071712502356, + "Average Passengers": 6.766984086898139 }, { "NTD ID": 60048, @@ -9381,7 +10135,8 @@ "All Fuels (Wh/pkm)": 230.26055256671225, "Unlinked Passenger Trips": 511337, "Passenger Paid Fares": 963220, - "Average Fare": 1.8837283435386056 + "Average Fare": 1.8837283435386056, + "Average Passengers": 4.510519316120584 }, { "NTD ID": 60048, @@ -9393,7 +10148,8 @@ "All Fuels (Wh/pkm)": 467.22413642380695, "Unlinked Passenger Trips": 811242, "Passenger Paid Fares": 1922748, - "Average Fare": 2.370128765522495 + "Average Fare": 2.370128765522495, + "Average Passengers": 31.87768060816744 }, { "NTD ID": 60051, @@ -9409,7 +10165,8 @@ "All Fuels (Wh/pkm)": 780.3197178372391, "Unlinked Passenger Trips": 197978, "Passenger Paid Fares": 209125, - "Average Fare": 1.0563042358241825 + "Average Fare": 1.0563042358241825, + "Average Passengers": 1.0022568581497335 }, { "NTD ID": 60051, @@ -9423,7 +10180,8 @@ "All Fuels (Wh/pkm)": 393.6935002852604, "Unlinked Passenger Trips": 5153005, "Passenger Paid Fares": 1162307, - "Average Fare": 0.22555906699100817 + "Average Fare": 0.22555906699100817, + "Average Passengers": 5.354434545262876 }, { "NTD ID": 60051, @@ -9435,7 +10193,8 @@ "All Fuels (Wh/pkm)": 174.48418891264703, "Unlinked Passenger Trips": 16002, "Passenger Paid Fares": 94125, - "Average Fare": 5.882077240344957 + "Average Fare": 5.882077240344957, + "Average Passengers": 6.173759976851294 }, { "NTD ID": 60056, @@ -9447,7 +10206,8 @@ "All Fuels (Wh/pkm)": 378.43983587208896, "Unlinked Passenger Trips": 2038947, "Passenger Paid Fares": 8725020, - "Average Fare": 4.279179399954977 + "Average Fare": 4.279179399954977, + "Average Passengers": 67.11933261036172 }, { "NTD ID": 60056, @@ -9461,7 +10221,8 @@ "All Fuels (Wh/pkm)": 950.1712584788235, "Unlinked Passenger Trips": 356620, "Passenger Paid Fares": 885456, - "Average Fare": 2.4829117828500924 + "Average Fare": 2.4829117828500924, + "Average Passengers": 1.0631797917673227 }, { "NTD ID": 60056, @@ -9473,7 +10234,8 @@ "All Fuels (Wh/pkm)": 176.48447916144804, "Unlinked Passenger Trips": 28873235, "Passenger Paid Fares": 25979885, - "Average Fare": 0.8997912772850012 + "Average Fare": 0.8997912772850012, + "Average Passengers": 41.386790190413336 }, { "NTD ID": 60056, @@ -9487,7 +10249,8 @@ "All Fuels (Wh/pkm)": 412.90884248342746, "Unlinked Passenger Trips": 30011020, "Passenger Paid Fares": 27033241, - "Average Fare": 0.900777147861019 + "Average Fare": 0.900777147861019, + "Average Passengers": 3.8683457815668385 }, { "NTD ID": 60056, @@ -9497,7 +10260,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1562.557514740941, "All Fuels (Wh/pkm)": 1562.557514740941, - "Unlinked Passenger Trips": 148828 + "Unlinked Passenger Trips": 148828, + "Average Passengers": 2.351033038279778 }, { "NTD ID": 60056, @@ -9509,7 +10273,8 @@ "All Fuels (Wh/pkm)": 217.85361937365943, "Unlinked Passenger Trips": 483243, "Passenger Paid Fares": 1316194, - "Average Fare": 2.723669044352427 + "Average Fare": 2.723669044352427, + "Average Passengers": 6.126517291131876 }, { "NTD ID": 60059, @@ -9521,7 +10286,8 @@ "All Fuels (Wh/pkm)": 3675.699468224397, "Unlinked Passenger Trips": 65871, "Passenger Paid Fares": 156599, - "Average Fare": 2.377358777003537 + "Average Fare": 2.377358777003537, + "Average Passengers": 0.9207397300546222 }, { "NTD ID": 60059, @@ -9535,7 +10301,8 @@ "All Fuels (Wh/pkm)": 1170.276136109269, "Unlinked Passenger Trips": 407672, "Passenger Paid Fares": 244936, - "Average Fare": 0.600816342549893 + "Average Fare": 0.600816342549893, + "Average Passengers": 3.0462167038718753 }, { "NTD ID": 60072, @@ -9548,7 +10315,8 @@ "All Fuels (Wh/pkm)": 1443.9140421038014, "Unlinked Passenger Trips": 21184, "Passenger Paid Fares": 13722, - "Average Fare": 0.6477530211480362 + "Average Fare": 0.6477530211480362, + "Average Passengers": 0.6144263246039988 }, { "NTD ID": 60072, @@ -9564,7 +10332,8 @@ "All Fuels (Wh/pkm)": 1355.7632765247936, "Unlinked Passenger Trips": 225971, "Passenger Paid Fares": 70910, - "Average Fare": 0.3138013284890539 + "Average Fare": 0.3138013284890539, + "Average Passengers": 2.280526417265667 }, { "NTD ID": 60077, @@ -9578,7 +10347,8 @@ "All Fuels (Wh/pkm)": 1202.462915795801, "Unlinked Passenger Trips": 38623, "Passenger Paid Fares": 69014, - "Average Fare": 1.7868627501747663 + "Average Fare": 1.7868627501747663, + "Average Passengers": 0.6343095207950876 }, { "NTD ID": 60077, @@ -9592,7 +10362,8 @@ "All Fuels (Wh/pkm)": 347.7991229966254, "Unlinked Passenger Trips": 930253, "Passenger Paid Fares": 289126, - "Average Fare": 0.3108036200904485 + "Average Fare": 0.3108036200904485, + "Average Passengers": 3.3351174831091184 }, { "NTD ID": 60088, @@ -9606,7 +10377,8 @@ "All Fuels (Wh/pkm)": 4250.989461513177, "Unlinked Passenger Trips": 65711, "Passenger Paid Fares": 183746, - "Average Fare": 2.7962745963385127 + "Average Fare": 2.7962745963385127, + "Average Passengers": 0.8772081214380497 }, { "NTD ID": 60088, @@ -9618,7 +10390,8 @@ "All Fuels (Wh/pkm)": 898.9732651180037, "Unlinked Passenger Trips": 1918859, "Passenger Paid Fares": 2923278, - "Average Fare": 1.5234459645028635 + "Average Fare": 1.5234459645028635, + "Average Passengers": 6.3980268863977585 }, { "NTD ID": 60090, @@ -9630,7 +10403,8 @@ "Gasoline (Wh/pkm)": 2286.362341602356, "Diesel (Wh/pkm)": 349.9168910231734, "All Fuels (Wh/pkm)": 458.16763782451545, - "Unlinked Passenger Trips": 14747 + "Unlinked Passenger Trips": 14747, + "Average Passengers": 1.8080991807691749 }, { "NTD ID": 60090, @@ -9642,7 +10416,8 @@ "Gasoline (Wh/pkm)": 720.8963814237586, "Diesel (Wh/pkm)": 1158.4723270909842, "All Fuels (Wh/pkm)": 958.7344258119224, - "Unlinked Passenger Trips": 694479 + "Unlinked Passenger Trips": 694479, + "Average Passengers": 2.756978854950171 }, { "NTD ID": 60091, @@ -9656,7 +10431,8 @@ "All Fuels (Wh/pkm)": 2276.3591704867436, "Unlinked Passenger Trips": 210665, "Passenger Paid Fares": 131944, - "Average Fare": 0.6263214107706548 + "Average Fare": 0.6263214107706548, + "Average Passengers": 1.0845604542596103 }, { "NTD ID": 60091, @@ -9668,7 +10444,8 @@ "All Fuels (Wh/pkm)": 1138.7322593517706, "Unlinked Passenger Trips": 442325, "Passenger Paid Fares": 277697, - "Average Fare": 0.6278121290906008 + "Average Fare": 0.6278121290906008, + "Average Passengers": 4.848154313309432 }, { "NTD ID": 60101, @@ -9680,7 +10457,8 @@ "All Fuels (Wh/pkm)": 4073.70065569297, "Unlinked Passenger Trips": 37391, "Passenger Paid Fares": 332782, - "Average Fare": 8.900056163247841 + "Average Fare": 8.900056163247841, + "Average Passengers": 0.653840006137872 }, { "NTD ID": 60101, @@ -9696,7 +10474,8 @@ "All Fuels (Wh/pkm)": 1622.4857165556507, "Unlinked Passenger Trips": 2388648, "Passenger Paid Fares": 3472250, - "Average Fare": 1.453646581664607 + "Average Fare": 1.453646581664607, + "Average Passengers": 3.246022185204183 }, { "NTD ID": 60101, @@ -9708,7 +10487,8 @@ "All Fuels (Wh/pkm)": 160.98259346122828, "Unlinked Passenger Trips": 128089, "Passenger Paid Fares": 302952, - "Average Fare": 2.365167969146453 + "Average Fare": 2.365167969146453, + "Average Passengers": 8.144566734648617 }, { "NTD ID": 60101, @@ -9720,7 +10500,8 @@ "All Fuels (Wh/pkm)": 895.9260172466867, "Unlinked Passenger Trips": 419335, "Passenger Paid Fares": 562424, - "Average Fare": 1.3412283734961308 + "Average Fare": 1.3412283734961308, + "Average Passengers": 17.162735437486184 }, { "NTD ID": 60102, @@ -9734,7 +10515,8 @@ "All Fuels (Wh/pkm)": 1565.5386918144163, "Unlinked Passenger Trips": 85970, "Passenger Paid Fares": 69969, - "Average Fare": 0.8138769338141212 + "Average Fare": 0.8138769338141212, + "Average Passengers": 1.4549210756012663 }, { "NTD ID": 60102, @@ -9748,7 +10530,8 @@ "All Fuels (Wh/pkm)": 1449.8447646137674, "Unlinked Passenger Trips": 182499, "Passenger Paid Fares": 82112, - "Average Fare": 0.44993123249990413 + "Average Fare": 0.44993123249990413, + "Average Passengers": 4.154594018767722 }, { "NTD ID": 60103, @@ -9760,7 +10543,8 @@ "All Fuels (Wh/pkm)": 743.9252747071735, "Unlinked Passenger Trips": 249270, "Passenger Paid Fares": 674874, - "Average Fare": 2.7074016127091105 + "Average Fare": 2.7074016127091105, + "Average Passengers": 6.052032434400193 }, { "NTD ID": 60103, @@ -9774,7 +10558,8 @@ "All Fuels (Wh/pkm)": 1329.3350733992775, "Unlinked Passenger Trips": 132866, "Passenger Paid Fares": 106333, - "Average Fare": 0.800302560474463 + "Average Fare": 0.800302560474463, + "Average Passengers": 1.4339305871773778 }, { "NTD ID": 60107, @@ -9786,7 +10571,8 @@ "All Fuels (Wh/pkm)": 2939.2774205609753, "Unlinked Passenger Trips": 38962, "Passenger Paid Fares": 50526, - "Average Fare": 1.296802012217032 + "Average Fare": 1.296802012217032, + "Average Passengers": 1.000111270968233 }, { "NTD ID": 60111, @@ -9798,7 +10584,8 @@ "All Fuels (Wh/pkm)": 1252.1333913297726, "Unlinked Passenger Trips": 58142, "Passenger Paid Fares": 23622, - "Average Fare": 0.406281173678236 + "Average Fare": 0.406281173678236, + "Average Passengers": 2.758904416746689 }, { "NTD ID": 60111, @@ -9810,7 +10597,8 @@ "All Fuels (Wh/pkm)": 654.1145971765013, "Unlinked Passenger Trips": 787116, "Passenger Paid Fares": 1990140, - "Average Fare": 2.5283947982254205 + "Average Fare": 2.5283947982254205, + "Average Passengers": 77.36481133952893 }, { "NTD ID": 60111, @@ -9822,7 +10610,8 @@ "All Fuels (Wh/pkm)": 2506.9489264441263, "Unlinked Passenger Trips": 67539, "Passenger Paid Fares": 71949, - "Average Fare": 1.0652956069826323 + "Average Fare": 1.0652956069826323, + "Average Passengers": 1.0047241446944437 }, { "NTD ID": 60111, @@ -9830,7 +10619,8 @@ "UACE Code": "01171", "Unlinked Passenger Trips": 6046, "Passenger Paid Fares": 4028, - "Average Fare": 0.6662256037049289 + "Average Fare": 0.6662256037049289, + "Average Passengers": 0.5242906039527437 }, { "NTD ID": 60114, @@ -9842,7 +10632,8 @@ "All Fuels (Wh/pkm)": 2439.642337169081, "Unlinked Passenger Trips": 166517, "Passenger Paid Fares": 136475, - "Average Fare": 0.8195859882174192 + "Average Fare": 0.8195859882174192, + "Average Passengers": 0.9925623424672272 }, { "NTD ID": 60114, @@ -9850,7 +10641,8 @@ "UACE Code": "22042", "Unlinked Passenger Trips": 71545, "Passenger Paid Fares": 17522, - "Average Fare": 0.24490879865818715 + "Average Fare": 0.24490879865818715, + "Average Passengers": 1.1378277234968281 }, { "NTD ID": 60127, @@ -9860,7 +10652,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 700.3043689264124, "All Fuels (Wh/pkm)": 700.3043689264124, - "Unlinked Passenger Trips": 10180 + "Unlinked Passenger Trips": 10180, + "Average Passengers": 3.2281208453674415 }, { "NTD ID": 60127, @@ -9868,7 +10661,8 @@ "UACE Code": "62677", "Unlinked Passenger Trips": 712779, "Passenger Paid Fares": 320633, - "Average Fare": 0.4498350821222286 + "Average Fare": 0.4498350821222286, + "Average Passengers": 17.787482531443402 }, { "NTD ID": 60130, @@ -9882,7 +10676,8 @@ "All Fuels (Wh/pkm)": 2885.7830945012097, "Unlinked Passenger Trips": 117378, "Passenger Paid Fares": 236334, - "Average Fare": 2.0134437458467516 + "Average Fare": 2.0134437458467516, + "Average Passengers": 0.9138902669799802 }, { "NTD ID": 60133, @@ -9894,7 +10689,8 @@ "All Fuels (Wh/pkm)": 235.3113848304295, "Unlinked Passenger Trips": 519001, "Passenger Paid Fares": 45069, - "Average Fare": 0.08683798297113107 + "Average Fare": 0.08683798297113107, + "Average Passengers": 11.589170141130086 }, { "NTD ID": 60134, @@ -9906,7 +10702,8 @@ "All Fuels (Wh/pkm)": 390.2274296432246, "Unlinked Passenger Trips": 542534, "Passenger Paid Fares": 3679648, - "Average Fare": 6.782336222245979 + "Average Fare": 6.782336222245979, + "Average Passengers": 14.47006097525717 }, { "NTD ID": 60134, @@ -9916,7 +10713,8 @@ "All Fuels (%)": 100, "LPG (Wh/pkm)": 1497.110855196873, "All Fuels (Wh/pkm)": 1497.110855196873, - "Unlinked Passenger Trips": 124332 + "Unlinked Passenger Trips": 124332, + "Average Passengers": 3.1582518734142364 }, { "NTD ID": 60269, @@ -9928,7 +10726,8 @@ "All Fuels (Wh/pkm)": 914.9358144413054, "Unlinked Passenger Trips": 2710009, "Passenger Paid Fares": 6945365, - "Average Fare": 2.562856802320583 + "Average Fare": 2.562856802320583, + "Average Passengers": 6.2285734749647395 }, { "NTD ID": 70001, @@ -9940,7 +10739,8 @@ "All Fuels (Wh/pkm)": 3693.1827490739024, "Unlinked Passenger Trips": 41222, "Passenger Paid Fares": 38103, - "Average Fare": 0.924336519334336 + "Average Fare": 0.924336519334336, + "Average Passengers": 0.7417864078977042 }, { "NTD ID": 70001, @@ -9954,7 +10754,8 @@ "All Fuels (Wh/pkm)": 1196.2124315462665, "Unlinked Passenger Trips": 2395752, "Passenger Paid Fares": 2591919, - "Average Fare": 1.0818811796880479 + "Average Fare": 1.0818811796880479, + "Average Passengers": 3.901133816563605 }, { "NTD ID": 70002, @@ -9968,7 +10769,8 @@ "All Fuels (Wh/pkm)": 2722.882718314948, "Unlinked Passenger Trips": 106857, "Passenger Paid Fares": 281894, - "Average Fare": 2.6380489813489056 + "Average Fare": 2.6380489813489056, + "Average Passengers": 0.9663274553132178 }, { "NTD ID": 70002, @@ -9982,7 +10784,8 @@ "All Fuels (Wh/pkm)": 1656.192629191321, "Unlinked Passenger Trips": 3409221, "Passenger Paid Fares": 4022743, - "Average Fare": 1.1799595860755288 + "Average Fare": 1.1799595860755288, + "Average Passengers": 3.1225060198343386 }, { "NTD ID": 70003, @@ -9994,7 +10797,8 @@ "All Fuels (Wh/pkm)": 3847.850641470152, "Unlinked Passenger Trips": 20754, "Passenger Paid Fares": 32203, - "Average Fare": 1.551652693456683 + "Average Fare": 1.551652693456683, + "Average Passengers": 0.7359469605231291 }, { "NTD ID": 70003, @@ -10006,7 +10810,8 @@ "All Fuels (Wh/pkm)": 942.5895288624939, "Unlinked Passenger Trips": 1269526, "Passenger Paid Fares": 880653, - "Average Fare": 0.6936864625064788 + "Average Fare": 0.6936864625064788, + "Average Passengers": 5.366148246348281 }, { "NTD ID": 70005, @@ -10019,7 +10824,8 @@ "All Fuels (Wh/pkm)": 2799.52284033212, "Unlinked Passenger Trips": 288377, "Passenger Paid Fares": 638131, - "Average Fare": 2.212835975129778 + "Average Fare": 2.212835975129778, + "Average Passengers": 0.7224999315189243 }, { "NTD ID": 70005, @@ -10033,7 +10839,8 @@ "All Fuels (Wh/pkm)": 804.2037229196308, "Unlinked Passenger Trips": 11365396, "Passenger Paid Fares": 7665081, - "Average Fare": 0.6744226949945255 + "Average Fare": 0.6744226949945255, + "Average Passengers": 4.97251467436877 }, { "NTD ID": 70005, @@ -10045,7 +10852,8 @@ "All Fuels (Wh/pkm)": 221.8308344361823, "Unlinked Passenger Trips": 54019, "Passenger Paid Fares": 127605, - "Average Fare": 2.3622244025250376 + "Average Fare": 2.3622244025250376, + "Average Passengers": 4.60286680941568 }, { "NTD ID": 70006, @@ -10057,7 +10865,8 @@ "All Fuels (Wh/pkm)": 3057.9278823500963, "Unlinked Passenger Trips": 553439, "Passenger Paid Fares": 2677551, - "Average Fare": 4.838023702702556 + "Average Fare": 4.838023702702556, + "Average Passengers": 1.1316941138210683 }, { "NTD ID": 70006, @@ -10069,7 +10878,8 @@ "All Fuels (Wh/pkm)": 124.63761864935918, "Unlinked Passenger Trips": 13550443, "Passenger Paid Fares": 14208423, - "Average Fare": 1.0485578220579208 + "Average Fare": 1.0485578220579208, + "Average Passengers": 29.696240584687885 }, { "NTD ID": 70006, @@ -10081,7 +10891,8 @@ "All Fuels (Wh/pkm)": 831.1872494560387, "Unlinked Passenger Trips": 23653939, "Passenger Paid Fares": 25130522, - "Average Fare": 1.0624244021260054 + "Average Fare": 1.0624244021260054, + "Average Passengers": 5.874048000293061 }, { "NTD ID": 70008, @@ -10095,7 +10906,8 @@ "All Fuels (Wh/pkm)": 1810.302931226422, "Unlinked Passenger Trips": 86730, "Passenger Paid Fares": 348189, - "Average Fare": 4.014631615358008 + "Average Fare": 4.014631615358008, + "Average Passengers": 1.1941226941226943 }, { "NTD ID": 70008, @@ -10107,7 +10919,8 @@ "All Fuels (Wh/pkm)": 1000.543939538774, "Unlinked Passenger Trips": 1265721, "Passenger Paid Fares": 862140, - "Average Fare": 0.681145370899274 + "Average Fare": 0.681145370899274, + "Average Passengers": 5.551486300564384 }, { "NTD ID": 70010, @@ -10121,7 +10934,8 @@ "All Fuels (Wh/pkm)": 3576.2870261684657, "Unlinked Passenger Trips": 94515, "Passenger Paid Fares": 104805, - "Average Fare": 1.1088716076813203 + "Average Fare": 1.1088716076813203, + "Average Passengers": 1.0142331432933742 }, { "NTD ID": 70010, @@ -10135,7 +10949,8 @@ "All Fuels (Wh/pkm)": 1045.816090283481, "Unlinked Passenger Trips": 4183102, "Passenger Paid Fares": 2118311, - "Average Fare": 0.5063971665046657 + "Average Fare": 0.5063971665046657, + "Average Passengers": 5.202964432444775 }, { "NTD ID": 70010, @@ -10147,7 +10962,8 @@ "All Fuels (Wh/pkm)": 279.4818513609165, "Unlinked Passenger Trips": 235716, "Passenger Paid Fares": 732552, - "Average Fare": 3.10777376164537 + "Average Fare": 3.10777376164537, + "Average Passengers": 4.733939302506851 }, { "NTD ID": 70012, @@ -10161,7 +10977,8 @@ "All Fuels (Wh/pkm)": 4371.763185737776, "Unlinked Passenger Trips": 28056, "Passenger Paid Fares": 80798, - "Average Fare": 2.879883090960935 + "Average Fare": 2.879883090960935, + "Average Passengers": 0.7327641463477168 }, { "NTD ID": 70012, @@ -10173,7 +10990,8 @@ "All Fuels (Wh/pkm)": 922.6903668606667, "Unlinked Passenger Trips": 840126, "Passenger Paid Fares": 711043, - "Average Fare": 0.8463528089834144 + "Average Fare": 0.8463528089834144, + "Average Passengers": 6.099576725420514 }, { "NTD ID": 70014, @@ -10185,7 +11003,8 @@ "All Fuels (Wh/pkm)": 5352.893607698382, "Unlinked Passenger Trips": 23846, "Passenger Paid Fares": 75598, - "Average Fare": 3.1702591629623416 + "Average Fare": 3.1702591629623416, + "Average Passengers": 0.6478515821015355 }, { "NTD ID": 70014, @@ -10197,7 +11016,8 @@ "All Fuels (Wh/pkm)": 862.8089357081343, "Unlinked Passenger Trips": 1221110, "Passenger Paid Fares": 1016369, - "Average Fare": 0.832332058536905 + "Average Fare": 0.832332058536905, + "Average Passengers": 5.412043094153395 }, { "NTD ID": 70015, @@ -10209,7 +11029,8 @@ "All Fuels (Wh/pkm)": 2750.840537007616, "Unlinked Passenger Trips": 81032, "Passenger Paid Fares": 270996, - "Average Fare": 3.344308421364399 + "Average Fare": 3.344308421364399, + "Average Passengers": 0.9834166704318971 }, { "NTD ID": 70015, @@ -10221,7 +11042,8 @@ "All Fuels (Wh/pkm)": 1135.092023892488, "Unlinked Passenger Trips": 1181807, "Passenger Paid Fares": 1517044, - "Average Fare": 1.2836647608281218 + "Average Fare": 1.2836647608281218, + "Average Passengers": 3.9218093171336097 }, { "NTD ID": 70016, @@ -10237,7 +11059,8 @@ "All Fuels (Wh/pkm)": 3051.834718813681, "Unlinked Passenger Trips": 53398, "Passenger Paid Fares": 89830, - "Average Fare": 1.6822727442975391 + "Average Fare": 1.6822727442975391, + "Average Passengers": 0.9668543561390759 }, { "NTD ID": 70016, @@ -10253,7 +11076,8 @@ "All Fuels (Wh/pkm)": 1348.6705669240055, "Unlinked Passenger Trips": 1252788, "Passenger Paid Fares": 195591, - "Average Fare": 0.1561245797373538 + "Average Fare": 0.1561245797373538, + "Average Passengers": 4.0478387493343675 }, { "NTD ID": 70018, @@ -10265,13 +11089,15 @@ "All Fuels (Wh/pkm)": 1443.9397643764385, "Unlinked Passenger Trips": 1498468, "Passenger Paid Fares": 1263310, - "Average Fare": 0.8430677198311876 + "Average Fare": 0.8430677198311876, + "Average Passengers": 4.32467683692344 }, { "NTD ID": 70019, "Mode": "DR", "UACE Code": "41590", - "Unlinked Passenger Trips": 9063 + "Unlinked Passenger Trips": 9063, + "Average Passengers": 0.5647208558357126 }, { "NTD ID": 70019, @@ -10281,7 +11107,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 959.4009649498022, "All Fuels (Wh/pkm)": 959.4009649498022, - "Unlinked Passenger Trips": 3689290 + "Unlinked Passenger Trips": 3689290, + "Average Passengers": 7.119736642954441 }, { "NTD ID": 70030, @@ -10293,7 +11120,8 @@ "All Fuels (Wh/pkm)": 924.9212647423927, "Unlinked Passenger Trips": 464668, "Passenger Paid Fares": 398921, - "Average Fare": 0.8585075796052235 + "Average Fare": 0.8585075796052235, + "Average Passengers": 6.799351698896196 }, { "NTD ID": 70035, @@ -10305,7 +11133,8 @@ "All Fuels (Wh/pkm)": 4256.910964833866, "Unlinked Passenger Trips": 58664, "Passenger Paid Fares": 235871, - "Average Fare": 4.020711168689486 + "Average Fare": 4.020711168689486, + "Average Passengers": 0.72711138858631 }, { "NTD ID": 70035, @@ -10321,7 +11150,8 @@ "All Fuels (Wh/pkm)": 1039.5557394640123, "Unlinked Passenger Trips": 317368, "Passenger Paid Fares": 440931, - "Average Fare": 1.3893366691033753 + "Average Fare": 1.3893366691033753, + "Average Passengers": 3.069080866459328 }, { "NTD ID": 70041, @@ -10335,7 +11165,8 @@ "All Fuels (Wh/pkm)": 801.7104781983206, "Unlinked Passenger Trips": 6563162, "Passenger Paid Fares": 4817799, - "Average Fare": 0.7340667501426904 + "Average Fare": 0.7340667501426904, + "Average Passengers": 7.41608248752042 }, { "NTD ID": 70044, @@ -10347,7 +11178,8 @@ "All Fuels (Wh/pkm)": 1404.7081363528555, "Unlinked Passenger Trips": 1811784, "Passenger Paid Fares": 3192494, - "Average Fare": 1.762072079232403 + "Average Fare": 1.762072079232403, + "Average Passengers": 3.8992114604954318 }, { "NTD ID": 70045, @@ -10361,7 +11193,8 @@ "All Fuels (Wh/pkm)": 2993.867513908505, "Unlinked Passenger Trips": 127461, "Passenger Paid Fares": 128592, - "Average Fare": 1.0088733024219172 + "Average Fare": 1.0088733024219172, + "Average Passengers": 0.9708195097105499 }, { "NTD ID": 70048, @@ -10373,7 +11206,8 @@ "All Fuels (Wh/pkm)": 5533.812370223084, "Unlinked Passenger Trips": 84183, "Passenger Paid Fares": 147657, - "Average Fare": 1.7540002138198925 + "Average Fare": 1.7540002138198925, + "Average Passengers": 0.8088638293953316 }, { "NTD ID": 70048, @@ -10387,7 +11221,8 @@ "All Fuels (Wh/pkm)": 1355.6608185877901, "Unlinked Passenger Trips": 1136585, "Passenger Paid Fares": 283616, - "Average Fare": 0.2495334708798726 + "Average Fare": 0.2495334708798726, + "Average Passengers": 3.670276242354783 }, { "NTD ID": 70049, @@ -10399,7 +11234,8 @@ "All Fuels (Wh/pkm)": 1775.406222816509, "Unlinked Passenger Trips": 176276, "Passenger Paid Fares": 102993, - "Average Fare": 0.5842712564387664 + "Average Fare": 0.5842712564387664, + "Average Passengers": 1.4720949846025286 }, { "NTD ID": 70271, @@ -10409,7 +11245,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 196.4508916661391, "All Fuels (Wh/pkm)": 196.4508916661391, - "Unlinked Passenger Trips": 2017091 + "Unlinked Passenger Trips": 2017091, + "Average Passengers": 19.830884299208194 }, { "NTD ID": 80001, @@ -10421,7 +11258,8 @@ "All Fuels (Wh/pkm)": 1267.91786665969, "Unlinked Passenger Trips": 563563, "Passenger Paid Fares": 254971, - "Average Fare": 0.45242679168078814 + "Average Fare": 0.45242679168078814, + "Average Passengers": 9.185449312605918 }, { "NTD ID": 80001, @@ -10433,7 +11271,8 @@ "All Fuels (Wh/pkm)": 554.5641128075501, "Unlinked Passenger Trips": 5082168, "Passenger Paid Fares": 4974611, - "Average Fare": 0.9788363942317531 + "Average Fare": 0.9788363942317531, + "Average Passengers": 93.87440845954431 }, { "NTD ID": 80001, @@ -10447,7 +11286,8 @@ "All Fuels (Wh/pkm)": 1488.42354742987, "Unlinked Passenger Trips": 394816, "Passenger Paid Fares": 253421, - "Average Fare": 0.6418711501053656 + "Average Fare": 0.6418711501053656, + "Average Passengers": 1.3526752768620447 }, { "NTD ID": 80001, @@ -10459,7 +11299,8 @@ "All Fuels (Wh/pkm)": 122.30866895080011, "Unlinked Passenger Trips": 17899716, "Passenger Paid Fares": 9620894, - "Average Fare": 0.5374886394845594 + "Average Fare": 0.5374886394845594, + "Average Passengers": 29.91090758596245 }, { "NTD ID": 80001, @@ -10475,7 +11316,8 @@ "All Fuels (Wh/pkm)": 1079.8727350007944, "Unlinked Passenger Trips": 19061372, "Passenger Paid Fares": 8792185, - "Average Fare": 0.46125667134558834 + "Average Fare": 0.46125667134558834, + "Average Passengers": 4.198540488197226 }, { "NTD ID": 80001, @@ -10487,7 +11329,8 @@ "All Fuels (Wh/pkm)": 161.5336539677125, "Unlinked Passenger Trips": 1174696, "Passenger Paid Fares": 2880671, - "Average Fare": 2.452269353092204 + "Average Fare": 2.452269353092204, + "Average Passengers": 6.774784305727866 }, { "NTD ID": 80002, @@ -10499,7 +11342,8 @@ "All Fuels (Wh/pkm)": 2503.8285184766155, "Unlinked Passenger Trips": 91407, "Passenger Paid Fares": 197303, - "Average Fare": 2.158510836150404 + "Average Fare": 2.158510836150404, + "Average Passengers": 1.3359729962284785 }, { "NTD ID": 80002, @@ -10511,7 +11355,8 @@ "All Fuels (Wh/pkm)": 1068.963506566915, "Unlinked Passenger Trips": 782129, "Passenger Paid Fares": 434313, - "Average Fare": 0.5552958655157909 + "Average Fare": 0.5552958655157909, + "Average Passengers": 4.370969876064041 }, { "NTD ID": 80003, @@ -10523,7 +11368,8 @@ "All Fuels (Wh/pkm)": 3274.8002619324516, "Unlinked Passenger Trips": 52665, "Passenger Paid Fares": 157809, - "Average Fare": 2.996468242665907 + "Average Fare": 2.996468242665907, + "Average Passengers": 0.8243827219250318 }, { "NTD ID": 80003, @@ -10535,7 +11381,8 @@ "All Fuels (Wh/pkm)": 919.7550987720795, "Unlinked Passenger Trips": 1439017, "Passenger Paid Fares": 535017, - "Average Fare": 0.3717933839558532 + "Average Fare": 0.3717933839558532, + "Average Passengers": 5.657695159523715 }, { "NTD ID": 80004, @@ -10547,7 +11394,8 @@ "All Fuels (Wh/pkm)": 2361.1059023970874, "Unlinked Passenger Trips": 46585, "Passenger Paid Fares": 207359, - "Average Fare": 4.451196737147151 + "Average Fare": 4.451196737147151, + "Average Passengers": 1.4533714236802122 }, { "NTD ID": 80004, @@ -10559,7 +11407,8 @@ "All Fuels (Wh/pkm)": 1534.3233096381523, "Unlinked Passenger Trips": 454395, "Passenger Paid Fares": 377703, - "Average Fare": 0.8312217343940844 + "Average Fare": 0.8312217343940844, + "Average Passengers": 2.9909318960228024 }, { "NTD ID": 80005, @@ -10571,7 +11420,8 @@ "All Fuels (Wh/pkm)": 4381.20888658686, "Unlinked Passenger Trips": 205625, "Passenger Paid Fares": 646395, - "Average Fare": 3.1435623100303953 + "Average Fare": 3.1435623100303953, + "Average Passengers": 1.0363217837405752 }, { "NTD ID": 80005, @@ -10583,7 +11433,8 @@ "All Fuels (Wh/pkm)": 1163.2328805962093, "Unlinked Passenger Trips": 3082981, "Passenger Paid Fares": 2517668, - "Average Fare": 0.8166342899940026 + "Average Fare": 0.8166342899940026, + "Average Passengers": 4.251851982800806 }, { "NTD ID": 80005, @@ -10595,7 +11446,8 @@ "All Fuels (Wh/pkm)": 293.25204560669863, "Unlinked Passenger Trips": 45660, "Passenger Paid Fares": 311005, - "Average Fare": 6.811322820849759 + "Average Fare": 6.811322820849759, + "Average Passengers": 3.6848758778123565 }, { "NTD ID": 80006, @@ -10607,7 +11459,8 @@ "All Fuels (Wh/pkm)": 75.9395649902125, "Unlinked Passenger Trips": 7619589, "Passenger Paid Fares": 15207946, - "Average Fare": 1.9959010912530846 + "Average Fare": 1.9959010912530846, + "Average Passengers": 77.45160205235608 }, { "NTD ID": 80006, @@ -10619,7 +11472,8 @@ "All Fuels (Wh/pkm)": 3466.4296174995625, "Unlinked Passenger Trips": 1226319, "Passenger Paid Fares": 3667376, - "Average Fare": 2.9905562908182945 + "Average Fare": 2.9905562908182945, + "Average Passengers": 0.7384526788251106 }, { "NTD ID": 80006, @@ -10631,7 +11485,8 @@ "All Fuels (Wh/pkm)": 85.56320739384635, "Unlinked Passenger Trips": 25322058, "Passenger Paid Fares": 23108949, - "Average Fare": 0.9126015349937197 + "Average Fare": 0.9126015349937197, + "Average Passengers": 39.23818981637955 }, { "NTD ID": 80006, @@ -10645,7 +11500,8 @@ "All Fuels (Wh/pkm)": 697.604234279173, "Unlinked Passenger Trips": 70540514, "Passenger Paid Fares": 47167112, - "Average Fare": 0.6686527971712823 + "Average Fare": 0.6686527971712823, + "Average Passengers": 7.264258819204714 }, { "NTD ID": 80007, @@ -10657,7 +11513,8 @@ "All Fuels (Wh/pkm)": 1961.3796721395086, "Unlinked Passenger Trips": 57938, "Passenger Paid Fares": 2466, - "Average Fare": 0.042562739480133935 + "Average Fare": 0.042562739480133935, + "Average Passengers": 0.7641040578179898 }, { "NTD ID": 80007, @@ -10669,7 +11526,8 @@ "All Fuels (Wh/pkm)": 1073.93736861574, "Unlinked Passenger Trips": 806352, "Passenger Paid Fares": 206721, - "Average Fare": 0.2563657062920412 + "Average Fare": 0.2563657062920412, + "Average Passengers": 5.124996034277939 }, { "NTD ID": 80008, @@ -10681,7 +11539,8 @@ "All Fuels (Wh/pkm)": 2521.253738780017, "Unlinked Passenger Trips": 62895, "Passenger Paid Fares": 196113, - "Average Fare": 3.118101597901264 + "Average Fare": 3.118101597901264, + "Average Passengers": 0.721658982622238 }, { "NTD ID": 80008, @@ -10695,7 +11554,8 @@ "All Fuels (Wh/pkm)": 1742.9435128089242, "Unlinked Passenger Trips": 253657, "Passenger Paid Fares": 188143, - "Average Fare": 0.7417220892780408 + "Average Fare": 0.7417220892780408, + "Average Passengers": 2.769274910849695 }, { "NTD ID": 80009, @@ -10707,7 +11567,8 @@ "Gasoline (Wh/pkm)": 2374.490774852031, "Diesel (Wh/pkm)": 4863.872744075421, "All Fuels (Wh/pkm)": 3341.5121894168674, - "Unlinked Passenger Trips": 31777 + "Unlinked Passenger Trips": 31777, + "Average Passengers": 0.6040890733677362 }, { "NTD ID": 80009, @@ -10717,7 +11578,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1183.150902861477, "All Fuels (Wh/pkm)": 1183.150902861477, - "Unlinked Passenger Trips": 1570567 + "Unlinked Passenger Trips": 1570567, + "Average Passengers": 4.441994325531845 }, { "NTD ID": 80011, @@ -10727,7 +11589,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 955.976968200573, "All Fuels (Wh/pkm)": 955.976968200573, - "Unlinked Passenger Trips": 7458 + "Unlinked Passenger Trips": 7458, + "Average Passengers": 2.881170018281536 }, { "NTD ID": 80011, @@ -10741,7 +11604,8 @@ "All Fuels (Wh/pkm)": 308.8443652281058, "Unlinked Passenger Trips": 2938958, "Passenger Paid Fares": 256231, - "Average Fare": 0.08718430137484101 + "Average Fare": 0.08718430137484101, + "Average Passengers": 6.250423748286758 }, { "NTD ID": 80011, @@ -10749,7 +11613,8 @@ "UACE Code": "30628", "Unlinked Passenger Trips": 1468030, "Passenger Paid Fares": 128357, - "Average Fare": 0.0874348616853879 + "Average Fare": 0.0874348616853879, + "Average Passengers": 11.162100497908302 }, { "NTD ID": 80012, @@ -10761,7 +11626,8 @@ "All Fuels (Wh/pkm)": 2333.2125873513824, "Unlinked Passenger Trips": 38927, "Passenger Paid Fares": 72249, - "Average Fare": 1.8560125362858684 + "Average Fare": 1.8560125362858684, + "Average Passengers": 0.62289611288979 }, { "NTD ID": 80012, @@ -10773,7 +11639,8 @@ "All Fuels (Wh/pkm)": 1975.4161868555216, "Unlinked Passenger Trips": 407397, "Passenger Paid Fares": 211939, - "Average Fare": 0.5202271985311625 + "Average Fare": 0.5202271985311625, + "Average Passengers": 2.5915634531343694 }, { "NTD ID": 80025, @@ -10785,7 +11652,8 @@ "All Fuels (Wh/pkm)": 942.6438571957407, "Unlinked Passenger Trips": 2696, "Passenger Paid Fares": 5734, - "Average Fare": 2.126854599406528 + "Average Fare": 2.126854599406528, + "Average Passengers": 0.6287346472436447 }, { "NTD ID": 80025, @@ -10793,7 +11661,8 @@ "UACE Code": "30628", "Unlinked Passenger Trips": 95470, "Passenger Paid Fares": 40336, - "Average Fare": 0.42249921441290456 + "Average Fare": 0.42249921441290456, + "Average Passengers": 1.8780559924762932 }, { "NTD ID": 80028, @@ -10803,7 +11672,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 3709.2792797334987, "All Fuels (Wh/pkm)": 3709.2792797334987, - "Unlinked Passenger Trips": 26092 + "Unlinked Passenger Trips": 26092, + "Average Passengers": 0.875639131530035 }, { "NTD ID": 80028, @@ -10813,7 +11683,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 814.5955735664643, "All Fuels (Wh/pkm)": 814.5955735664643, - "Unlinked Passenger Trips": 1507093 + "Unlinked Passenger Trips": 1507093, + "Average Passengers": 5.785852859737399 }, { "NTD ID": 80106, @@ -10825,7 +11696,8 @@ "All Fuels (Wh/pkm)": 391.5150329759257, "Unlinked Passenger Trips": 75854, "Passenger Paid Fares": 402244, - "Average Fare": 5.302871305402483 + "Average Fare": 5.302871305402483, + "Average Passengers": 2.6161279819811036 }, { "NTD ID": 80107, @@ -10837,7 +11709,8 @@ "Diesel (Wh/pkm)": 1071.2587841864818, "Electric (Wh/pkm)": 347.5581410048286, "All Fuels (Wh/pkm)": 829.0228141921046, - "Unlinked Passenger Trips": 275084 + "Unlinked Passenger Trips": 275084, + "Average Passengers": 4.518139534883721 }, { "NTD ID": 80109, @@ -10849,7 +11722,8 @@ "All Fuels (Wh/pkm)": 191.79165468903437, "Unlinked Passenger Trips": 182256, "Passenger Paid Fares": 712297, - "Average Fare": 3.9082225002194715 + "Average Fare": 3.9082225002194715, + "Average Passengers": 4.124685465729434 }, { "NTD ID": 90001, @@ -10861,7 +11735,8 @@ "All Fuels (Wh/pkm)": 701.1540317866453, "Unlinked Passenger Trips": 29454, "Passenger Paid Fares": 74557, - "Average Fare": 2.5313030488218917 + "Average Fare": 2.5313030488218917, + "Average Passengers": 6.614076523382144 }, { "NTD ID": 90001, @@ -10875,7 +11750,8 @@ "All Fuels (Wh/pkm)": 806.5773259675694, "Unlinked Passenger Trips": 224307, "Passenger Paid Fares": 348111, - "Average Fare": 1.55193997512338 + "Average Fare": 1.55193997512338, + "Average Passengers": 1.077058751319009 }, { "NTD ID": 90001, @@ -10889,7 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Fare": 0.8444745385514234, + "Average Passengers": 14.65997774860724 }, { "NTD ID": 90002, @@ -10939,7 +11819,8 @@ "All Fuels (Wh/pkm)": 168.85460058118724, "Unlinked Passenger Trips": 25386, "Passenger Paid Fares": 67091, - "Average Fare": 2.642834633262428 + "Average Fare": 2.642834633262428, + "Average Passengers": 5.891890539796888 }, { "NTD ID": 90003, @@ -10951,7 +11832,8 @@ "All Fuels (Wh/pkm)": 13.55598678261737, "Unlinked Passenger Trips": 127874512, "Passenger Paid Fares": 474796843, - "Average Fare": 3.7129904589587017 + "Average Fare": 3.7129904589587017, + "Average Passengers": 188.6585689786926 }, { "NTD ID": 90003, @@ -10959,7 +11841,8 @@ "UACE Code": "78904", "Unlinked Passenger Trips": 962251, "Passenger Paid Fares": 5420678, - "Average Fare": 5.633330596694625 + "Average Fare": 5.633330596694625, + "Average Passengers": 7.715496004780647 }, { "NTD ID": 90003, @@ -10971,7 +11854,8 @@ "All Fuels (Wh/pkm)": 385.73103727165824, "Unlinked Passenger Trips": 207580, "Passenger Paid Fares": 627937, - "Average Fare": 3.0250361306484246 + "Average Fare": 3.0250361306484246, + "Average Passengers": 32.13099209833187 }, { "NTD ID": 90004, @@ -10983,7 +11867,8 @@ "All Fuels (Wh/pkm)": 1697.6631113831481, "Unlinked Passenger Trips": 58241, "Passenger Paid Fares": 112771, - "Average Fare": 1.9362820006524613 + "Average Fare": 1.9362820006524613, + "Average Passengers": 0.7257958207429183 }, { "NTD ID": 90004, @@ -10995,7 +11880,8 @@ "All Fuels (Wh/pkm)": 431.6228916368705, "Unlinked Passenger Trips": 6377043, "Passenger Paid Fares": 3120099, - "Average Fare": 0.4892704973135668 + "Average Fare": 0.4892704973135668, + "Average Passengers": 5.264748931393291 }, { "NTD ID": 90006, @@ -11007,7 +11893,8 @@ "All Fuels (Wh/pkm)": 101.26816068358362, "Unlinked Passenger Trips": 290419, "Passenger Paid Fares": 1564281, - "Average Fare": 5.386290153192457 + "Average Fare": 5.386290153192457, + "Average Passengers": 12.758918380261282 }, { "NTD ID": 90006, @@ -11019,7 +11906,8 @@ "All Fuels (Wh/pkm)": 2452.4655982135328, "Unlinked Passenger Trips": 72209, "Passenger Paid Fares": 287363, - "Average Fare": 3.9796008807766343 + "Average Fare": 3.9796008807766343, + "Average Passengers": 0.9100435792034296 }, { "NTD ID": 90006, @@ -11035,7 +11923,8 @@ "All Fuels (Wh/pkm)": 277.7123148319502, "Unlinked Passenger Trips": 4758093, "Passenger Paid Fares": 2657634, - "Average Fare": 0.5585502427127843 + "Average Fare": 0.5585502427127843, + "Average Passengers": 8.246813039551753 }, { "NTD ID": 90007, @@ -11049,7 +11938,8 @@ "All Fuels (Wh/pkm)": 1883.1167006122712, "Unlinked Passenger Trips": 92025, "Passenger Paid Fares": 271445, - "Average Fare": 2.949687584895409 + "Average Fare": 2.949687584895409, + "Average Passengers": 1.446933962264151 }, { "NTD ID": 90007, @@ -11061,7 +11951,8 @@ "All Fuels (Wh/pkm)": 1107.2543877118612, "Unlinked Passenger Trips": 2589049, "Passenger Paid Fares": 2412594, - "Average Fare": 0.9318456313495804 + "Average Fare": 0.9318456313495804, + "Average Passengers": 4.68559719597665 }, { "NTD ID": 90008, @@ -11075,7 +11966,8 @@ "All Fuels (Wh/pkm)": 1589.7931876400557, "Unlinked Passenger Trips": 21392, "Passenger Paid Fares": 8932, - "Average Fare": 0.4175392670157068 + "Average Fare": 0.4175392670157068, + "Average Passengers": 0.6765828417987901 }, { "NTD ID": 90008, @@ -11089,7 +11981,8 @@ "All Fuels (Wh/pkm)": 539.5887666301917, "Unlinked Passenger Trips": 13187418, "Passenger Paid Fares": 11721083, - "Average Fare": 0.8888080289864172 + "Average Fare": 0.8888080289864172, + "Average Passengers": 8.645349302070654 }, { "NTD ID": 90009, @@ -11103,7 +11996,8 @@ "All Fuels (Wh/pkm)": 1953.6530140986874, "Unlinked Passenger Trips": 258865, "Passenger Paid Fares": 658355, - "Average Fare": 2.543236822281884 + "Average Fare": 2.543236822281884, + "Average Passengers": 1.1909626161286724 }, { "NTD ID": 90009, @@ -11115,7 +12009,8 @@ "All Fuels (Wh/pkm)": 1170.7712283178523, "Unlinked Passenger Trips": 11457737, "Passenger Paid Fares": 14831331, - "Average Fare": 1.2944380727188973 + "Average Fare": 1.2944380727188973, + "Average Passengers": 4.997956755618976 }, { "NTD ID": 90010, @@ -11129,7 +12024,8 @@ "All Fuels (Wh/pkm)": 255.7498222038102, "Unlinked Passenger Trips": 3712548, "Passenger Paid Fares": 2442015, - "Average Fare": 0.6577733136379651 + "Average Fare": 0.6577733136379651, + "Average Passengers": 8.40760494415037 }, { "NTD ID": 90012, @@ -11141,7 +12037,8 @@ "All Fuels (Wh/pkm)": 492.17157588548037, "Unlinked Passenger Trips": 155996, "Passenger Paid Fares": 771718, - "Average Fare": 4.947037103515474 + "Average Fare": 4.947037103515474, + "Average Passengers": 10.71781649216243 }, { "NTD ID": 90012, @@ -11157,7 +12054,8 @@ "All Fuels (Wh/pkm)": 1069.6745410868696, "Unlinked Passenger Trips": 3191556, "Passenger Paid Fares": 2416327, - "Average Fare": 0.7570999850856448 + "Average Fare": 0.7570999850856448, + "Average Passengers": 4.971552651159892 }, { "NTD ID": 90013, @@ -11169,7 +12067,8 @@ "All Fuels (Wh/pkm)": 1671.344112369857, "Unlinked Passenger Trips": 385735, "Passenger Paid Fares": 1485110, - "Average Fare": 3.8500784217143895 + "Average Fare": 3.8500784217143895, + "Average Passengers": 0.8729049200736131 }, { "NTD ID": 90013, @@ -11181,7 +12080,8 @@ "All Fuels (Wh/pkm)": 192.0380602519353, "Unlinked Passenger Trips": 8507096, "Passenger Paid Fares": 8031206, - "Average Fare": 0.9440596415039868 + "Average Fare": 0.9440596415039868, + "Average Passengers": 20.981489544995974 }, { "NTD ID": 90013, @@ -11195,7 +12095,8 @@ "All Fuels (Wh/pkm)": 697.462005210671, "Unlinked Passenger Trips": 28473346, "Passenger Paid Fares": 26479369, - "Average Fare": 0.9299704010901986 + "Average Fare": 0.9299704010901986, + "Average Passengers": 7.201181370769325 }, { "NTD ID": 90014, @@ -11207,7 +12108,8 @@ "All Fuels (Wh/pkm)": 391.11783281034917, "Unlinked Passenger Trips": 2545674, "Passenger Paid Fares": 6346883, - "Average Fare": 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3121.1207253266407, "Unlinked Passenger Trips": 445651, "Passenger Paid Fares": 1227070, - "Average Fare": 2.7534326187981177 + "Average Fare": 2.7534326187981177, + "Average Passengers": 1.1823587123983228 }, { "NTD ID": 90015, @@ -11273,7 +12179,8 @@ "All Fuels (Wh/pkm)": 171.24853843757947, "Unlinked Passenger Trips": 49833591, "Passenger Paid Fares": 39956460, - "Average Fare": 0.801797727159578 + "Average Fare": 0.801797727159578, + "Average Passengers": 36.77324769940404 }, { "NTD ID": 90015, @@ -11285,7 +12192,8 @@ "All Fuels (Wh/pkm)": 459.44650410014106, "Unlinked Passenger Trips": 111809076, "Passenger Paid Fares": 89648264, - "Average Fare": 0.8017977359905917 + "Average Fare": 0.8017977359905917, + "Average Passengers": 13.241135301436426 }, { "NTD ID": 90015, @@ -11297,7 +12205,8 @@ "All Fuels (Wh/pkm)": 320.243654357844, "Unlinked Passenger Trips": 7475775, "Passenger Paid Fares": 5994059, - "Average Fare": 0.8017976731509442 + "Average Fare": 0.8017976731509442, + "Average Passengers": 21.41732519097371 }, { "NTD ID": 90015, @@ -11305,7 +12214,8 @@ "UACE Code": "78904", "Unlinked Passenger Trips": 49199803, "Passenger Paid Fares": 39448290, - "Average Fare": 0.8017977226453529 + "Average Fare": 0.8017977226453529, + "Average Passengers": 12.071062251548838 }, { "NTD ID": 90016, @@ -11317,7 +12227,8 @@ "All Fuels (Wh/pkm)": 3567.993683632591, "Unlinked Passenger Trips": 37762, "Passenger Paid Fares": 149084, - "Average Fare": 3.94799004290027 + "Average Fare": 3.94799004290027, + "Average Passengers": 0.8775693855486427 }, { "NTD ID": 90016, @@ -11329,7 +12240,8 @@ "All Fuels (Wh/pkm)": 1912.9562021778281, "Unlinked Passenger Trips": 2578137, "Passenger Paid Fares": 21255591, - "Average Fare": 8.24455449807361 + "Average Fare": 8.24455449807361, + "Average Passengers": 114.9878223465787 }, { "NTD ID": 90016, @@ -11341,7 +12253,8 @@ "All Fuels (Wh/pkm)": 516.8143026906408, "Unlinked Passenger Trips": 3159082, "Passenger Paid Fares": 15023605, - "Average Fare": 4.75568693690129 + "Average Fare": 4.75568693690129, + "Average Passengers": 11.831555727718571 }, { "NTD ID": 90017, @@ -11353,7 +12266,8 @@ "All Fuels (Wh/pkm)": 2531.667606493627, "Unlinked Passenger Trips": 39814, "Passenger Paid Fares": 119443, - "Average Fare": 3.000025116793088 + "Average Fare": 3.000025116793088, + "Average Passengers": 1.1601101938311293 }, { "NTD ID": 90017, @@ -11367,7 +12281,8 @@ "All Fuels (Wh/pkm)": 723.2445254740218, "Unlinked Passenger Trips": 1771874, "Passenger Paid Fares": 1293344, - "Average Fare": 0.7299300063097037 + "Average Fare": 0.7299300063097037, + "Average Passengers": 6.994225909775325 }, { "NTD ID": 90019, @@ -11375,7 +12290,8 @@ "UACE Code": "77068", "Unlinked Passenger Trips": 16065, "Passenger Paid Fares": 1016293, - "Average Fare": 63.26131341425459 + "Average Fare": 63.26131341425459, + "Average Passengers": 0.6161567721332738 }, { "NTD ID": 90019, @@ -11387,7 +12303,8 @@ "All Fuels (Wh/pkm)": 125.35400169352995, "Unlinked Passenger Trips": 10372688, "Passenger Paid Fares": 6365780, - "Average Fare": 0.6137059169233664 + "Average Fare": 0.6137059169233664, + "Average Passengers": 38.44347621525507 }, { "NTD ID": 90019, @@ -11401,7 +12318,8 @@ "All Fuels (Wh/pkm)": 355.9375263466487, "Unlinked Passenger Trips": 10501555, "Passenger Paid Fares": 6948069, - "Average Fare": 0.6616228739458109 + "Average Fare": 0.6616228739458109, + "Average Passengers": 5.086074622870406 }, { "NTD ID": 90020, @@ -11415,7 +12333,8 @@ "All Fuels (Wh/pkm)": 560.467331073732, "Unlinked Passenger Trips": 6288980, "Passenger Paid Fares": 3855535, - "Average Fare": 0.6130620545780079 + "Average Fare": 0.6130620545780079, + "Average Passengers": 8.508270261786159 }, { "NTD ID": 90022, @@ -11427,7 +12346,8 @@ "All Fuels (Wh/pkm)": 3822.121602019554, "Unlinked Passenger Trips": 22344, "Passenger Paid Fares": 17337, - "Average Fare": 0.7759129967776585 + "Average Fare": 0.7759129967776585, + "Average Passengers": 1.1251238374070296 }, { "NTD ID": 90022, @@ -11443,7 +12363,8 @@ "All Fuels (Wh/pkm)": 525.7438482084772, "Unlinked Passenger Trips": 1461068, "Passenger Paid Fares": 1214078, - "Average Fare": 0.8309524265811037 + "Average Fare": 0.8309524265811037, + "Average Passengers": 5.640371080312435 }, { "NTD ID": 90023, @@ -11455,7 +12376,8 @@ "All Fuels (Wh/pkm)": 1375.0565534017362, "Unlinked Passenger Trips": 38986, "Passenger Paid Fares": 65200, - "Average Fare": 1.672395218796491 + "Average Fare": 1.672395218796491, + "Average Passengers": 0.6369270129567263 }, { "NTD ID": 90023, @@ -11471,7 +12393,8 @@ "All Fuels (Wh/pkm)": 550.7803957287234, "Unlinked Passenger Trips": 23781730, "Passenger Paid Fares": 12095804, - "Average Fare": 0.5086174975495895 + "Average Fare": 0.5086174975495895, + "Average Passengers": 9.574538966784441 }, { "NTD ID": 90024, @@ -11485,7 +12408,8 @@ "All Fuels (Wh/pkm)": 1399.1535861875627, "Unlinked Passenger Trips": 42407, "Passenger Paid Fares": 33988, - "Average Fare": 0.8014714551842856 + "Average Fare": 0.8014714551842856, + "Average Passengers": 1.6750114549922939 }, { "NTD ID": 90026, @@ -11497,7 +12421,8 @@ "All Fuels (Wh/pkm)": 611.795273879197, "Unlinked Passenger Trips": 283135, "Passenger Paid Fares": 810782, - "Average Fare": 2.8635880410404932 + "Average Fare": 2.8635880410404932, + "Average Passengers": 8.490131582984667 }, { "NTD ID": 90026, @@ -11511,7 +12436,8 @@ "All Fuels (Wh/pkm)": 2374.271802769802, "Unlinked Passenger Trips": 596699, "Passenger Paid Fares": 1150519, - "Average Fare": 1.9281396482983884 + "Average Fare": 1.9281396482983884, + "Average Passengers": 1.1198184912154503 }, { "NTD ID": 90026, @@ -11523,7 +12449,8 @@ "All Fuels (Wh/pkm)": 48.250200380867994, "Unlinked Passenger Trips": 36995201, "Passenger Paid Fares": 35994359, - "Average Fare": 0.97294670733104 + "Average Fare": 0.97294670733104, + "Average Passengers": 68.10730334080138 }, { "NTD ID": 90026, @@ -11535,7 +12462,8 @@ "All Fuels (Wh/pkm)": 266.88838963832495, "Unlinked Passenger Trips": 47554177, "Passenger Paid Fares": 38823976, - "Average Fare": 0.8164156852088934 + "Average Fare": 0.8164156852088934, + "Average Passengers": 8.143469031485953 }, { "NTD ID": 90027, @@ -11549,7 +12477,8 @@ "All Fuels (Wh/pkm)": 2573.740559300458, "Unlinked Passenger Trips": 213026, "Passenger Paid Fares": 294817, - "Average Fare": 1.383948438218809 + "Average Fare": 1.383948438218809, + "Average Passengers": 1.1293142339440605 }, { "NTD ID": 90027, @@ -11563,7 +12492,8 @@ "All Fuels (Wh/pkm)": 312.11047490028113, "Unlinked Passenger Trips": 9750802, "Passenger Paid Fares": 5507058, - "Average Fare": 0.5647800047626852 + "Average Fare": 0.5647800047626852, + "Average Passengers": 5.607270434646868 }, { "NTD ID": 90029, @@ -11577,7 +12507,8 @@ "All Fuels (Wh/pkm)": 1064.1523166827224, "Unlinked Passenger Trips": 378087, "Passenger Paid Fares": 1053449, - "Average Fare": 2.7862608341466384 + "Average Fare": 2.7862608341466384, + "Average Passengers": 1.818803084872876 }, { "NTD ID": 90029, @@ -11589,7 +12520,8 @@ "All Fuels (Wh/pkm)": 399.10082760088403, "Unlinked Passenger Trips": 10832159, "Passenger Paid Fares": 10221860, - "Average Fare": 0.9436586002845785 + "Average Fare": 0.9436586002845785, + "Average Passengers": 5.825608145969364 }, { "NTD ID": 90030, @@ -11601,7 +12533,8 @@ "All Fuels (Wh/pkm)": 528.1862167184512, "Unlinked Passenger Trips": 1433125, "Passenger Paid Fares": 5014818, - "Average Fare": 3.499218839947667 + "Average Fare": 3.499218839947667, + "Average Passengers": 131.4911102399628 }, { "NTD ID": 90030, @@ -11613,7 +12546,8 @@ "All Fuels (Wh/pkm)": 2145.1241370647376, "Unlinked Passenger Trips": 187965, "Passenger Paid Fares": 754843, - "Average Fare": 4.015869975793366 + "Average Fare": 4.015869975793366, + "Average Passengers": 0.9715414383199201 }, { "NTD ID": 90030, @@ -11627,7 +12561,8 @@ "All Fuels (Wh/pkm)": 476.6871164424627, "Unlinked Passenger Trips": 6508713, "Passenger Paid Fares": 6597733, - "Average Fare": 1.0136770510544866 + "Average Fare": 1.0136770510544866, + "Average Passengers": 4.520797793192339 }, { "NTD ID": 90030, @@ -11639,7 +12574,8 @@ "All Fuels (Wh/pkm)": 329.3287043056645, "Unlinked Passenger Trips": 2532731, "Passenger Paid Fares": 2750014, - "Average Fare": 1.0857900029651788 + "Average Fare": 1.0857900029651788, + "Average Passengers": 41.87105432516484 }, { "NTD ID": 90031, @@ -11653,7 +12589,8 @@ "All Fuels (Wh/pkm)": 374.58270684363805, "Unlinked Passenger Trips": 331658, "Passenger Paid Fares": 765583, - "Average Fare": 2.30835077097492 + "Average Fare": 2.30835077097492, + "Average Passengers": 5.6618443665503815 }, { "NTD ID": 90031, @@ -11665,7 +12602,8 @@ "All Fuels (Wh/pkm)": 3064.847912950622, "Unlinked Passenger Trips": 403099, "Passenger Paid Fares": 1451607, - "Average Fare": 3.601117839538178 + "Average Fare": 3.601117839538178, + "Average Passengers": 0.9278880799085385 }, { "NTD ID": 90031, @@ -11679,7 +12617,8 @@ "All Fuels (Wh/pkm)": 411.67335642511165, "Unlinked Passenger Trips": 7835850, "Passenger Paid Fares": 8442205, - "Average Fare": 1.0773821601995954 + "Average Fare": 1.0773821601995954, + "Average Passengers": 5.3547433684693955 }, { "NTD ID": 90032, @@ -11691,7 +12630,8 @@ "All Fuels (Wh/pkm)": 4507.472145806893, "Unlinked Passenger Trips": 339092, "Passenger Paid Fares": 963037, - "Average Fare": 2.840046359100185 + "Average Fare": 2.840046359100185, + "Average Passengers": 0.8048842151329549 }, { "NTD ID": 90032, @@ -11707,7 +12647,8 @@ "All Fuels (Wh/pkm)": 818.8349063956298, "Unlinked Passenger Trips": 37451567, "Passenger Paid Fares": 27725802, - "Average Fare": 0.7403108660313199 + "Average Fare": 0.7403108660313199, + "Average Passengers": 4.990370537843251 }, { "NTD ID": 90033, @@ -11721,7 +12662,8 @@ "All Fuels (Wh/pkm)": 3088.342199787008, "Unlinked Passenger Trips": 557275, "Passenger Paid Fares": 1101585, - "Average Fare": 1.9767350051590329 + "Average Fare": 1.9767350051590329, + "Average Passengers": 0.9406834134849468 }, { "NTD ID": 90033, @@ -11735,7 +12677,8 @@ "All Fuels (Wh/pkm)": 639.9891827433254, "Unlinked Passenger Trips": 15205419, "Passenger Paid Fares": 10943859, - "Average Fare": 0.7197341289970371 + "Average Fare": 0.7197341289970371, + "Average Passengers": 7.676220128997103 }, { "NTD ID": 90033, @@ -11747,7 +12690,8 @@ "All Fuels (Wh/pkm)": 774.3477038190265, "Unlinked Passenger Trips": 899854, "Passenger Paid Fares": 492390, - "Average Fare": 0.5471887661776244 + "Average Fare": 0.5471887661776244, + "Average Passengers": 7.265729064208152 }, { "NTD ID": 90034, @@ -11763,7 +12707,8 @@ "All Fuels (Wh/pkm)": 3950.7177132783527, "Unlinked Passenger Trips": 69934, "Passenger Paid Fares": 106154, - "Average Fare": 1.5179168930706095 + "Average Fare": 1.5179168930706095, + "Average Passengers": 1.0243040409089896 }, { "NTD ID": 90034, @@ -11773,7 +12718,8 @@ "Gasoline (Wh/pkm)": 2142.5003965041965, "Unlinked Passenger Trips": 102659, "Passenger Paid Fares": 6233, - "Average Fare": 0.060715572916159324 + "Average Fare": 0.060715572916159324, + "Average Passengers": 1.916986850466833 }, { "NTD ID": 90035, @@ -11785,7 +12731,8 @@ "All Fuels (Wh/pkm)": 831.9219200694164, "Unlinked Passenger Trips": 114229, "Passenger Paid Fares": 303830, - "Average Fare": 2.6598324418492676 + "Average Fare": 2.6598324418492676, + "Average Passengers": 0.9133697292797471 }, { "NTD ID": 90035, @@ -11797,7 +12744,8 @@ "All Fuels (Wh/pkm)": 317.3739579283841, "Unlinked Passenger Trips": 3474161, "Passenger Paid Fares": 2808293, - "Average Fare": 0.8083370344667389 + "Average Fare": 0.8083370344667389, + "Average Passengers": 6.293820592715175 }, { "NTD ID": 90036, @@ -11809,7 +12757,8 @@ "All Fuels (Wh/pkm)": 3092.794174091325, "Unlinked Passenger Trips": 1490193, "Passenger Paid Fares": 6227379, - "Average Fare": 4.178907698533009 + "Average Fare": 4.178907698533009, + "Average Passengers": 1.2602421382705586 }, { "NTD ID": 90036, @@ -11821,7 +12770,8 @@ "All Fuels (Wh/pkm)": 262.46878240463855, "Unlinked Passenger Trips": 39055987, "Passenger Paid Fares": 37550440, - "Average Fare": 0.9614515695122492 + "Average Fare": 0.9614515695122492, + "Average Passengers": 6.59952085652328 }, { "NTD ID": 90036, @@ -11833,7 +12783,8 @@ "All Fuels (Wh/pkm)": 281.6188423003981, "Unlinked Passenger Trips": 1281733, "Passenger Paid Fares": 6116817, - "Average Fare": 4.772302031702391 + "Average Fare": 4.772302031702391, + "Average Passengers": 4.776997981764761 }, { "NTD ID": 90039, @@ -11845,7 +12796,8 @@ "All Fuels (Wh/pkm)": 2398.267405172571, "Unlinked Passenger Trips": 8727, "Passenger Paid Fares": 3453, - "Average Fare": 0.3956686146442076 + "Average Fare": 0.3956686146442076, + "Average Passengers": 0.7177441869740357 }, { "NTD ID": 90039, @@ -11857,7 +12809,8 @@ "All Fuels (Wh/pkm)": 409.912036961934, "Unlinked Passenger Trips": 4864138, "Passenger Paid Fares": 3041100, - "Average Fare": 0.6252084130836748 + "Average Fare": 0.6252084130836748, + "Average Passengers": 8.70414010242828 }, { "NTD ID": 90041, @@ -11873,7 +12826,8 @@ "All Fuels (Wh/pkm)": 581.4800051472774, "Unlinked Passenger Trips": 5699406, "Passenger Paid Fares": 4279124, - "Average Fare": 0.7508017502174789 + "Average Fare": 0.7508017502174789, + "Average Passengers": 8.537939030955474 }, { "NTD ID": 90042, @@ -11885,7 +12839,8 @@ "All Fuels (Wh/pkm)": 2947.094572128159, "Unlinked Passenger Trips": 23443, "Passenger Paid Fares": 12859, - "Average Fare": 0.5485219468498059 + "Average Fare": 0.5485219468498059, + "Average Passengers": 1.024145500156789 }, { "NTD ID": 90042, @@ -11899,7 +12854,8 @@ "All Fuels (Wh/pkm)": 926.6984125789874, "Unlinked Passenger Trips": 3086911, "Passenger Paid Fares": 2324257, - "Average Fare": 0.7529394271490173 + "Average Fare": 0.7529394271490173, + "Average Passengers": 6.4357896430289 }, { "NTD ID": 90043, @@ -11909,7 +12865,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 796.121283962368, "All Fuels (Wh/pkm)": 796.121283962368, - "Unlinked Passenger Trips": 9086 + "Unlinked Passenger Trips": 9086, + "Average Passengers": 0.9642486278000296 }, { "NTD ID": 90043, @@ -11919,7 +12876,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 324.12944410140585, "All Fuels (Wh/pkm)": 324.12944410140585, - "Unlinked Passenger Trips": 500498 + "Unlinked Passenger Trips": 500498, + "Average Passengers": 5.176966746180636 }, { "NTD ID": 90045, @@ -11931,7 +12889,8 @@ "All Fuels (Wh/pkm)": 736.4428074195854, "Unlinked Passenger Trips": 1340231, "Passenger Paid Fares": 2775969, - "Average Fare": 2.071261595948758 + "Average Fare": 2.071261595948758, + "Average Passengers": 1.171414191138971 }, { "NTD ID": 90045, @@ -11945,7 +12904,8 @@ "All Fuels (Wh/pkm)": 348.8623048060731, "Unlinked Passenger Trips": 64425687, "Passenger Paid Fares": 63960633, - "Average Fare": 0.9927815437963432 + "Average Fare": 0.9927815437963432, + "Average Passengers": 11.885000219828875 }, { "NTD ID": 90061, @@ -11957,7 +12917,8 @@ "All Fuels (Wh/pkm)": 399.07241151153636, "Unlinked Passenger Trips": 132626, "Passenger Paid Fares": 367975, - "Average Fare": 2.7745313890187444 + "Average Fare": 2.7745313890187444, + "Average Passengers": 10.626096663210578 }, { "NTD ID": 90061, @@ -11969,7 +12930,8 @@ "All Fuels (Wh/pkm)": 4241.037607535414, "Unlinked Passenger Trips": 72073, "Passenger Paid Fares": 73013, - "Average Fare": 1.0130423320799744 + "Average Fare": 1.0130423320799744, + "Average Passengers": 1.1564008838211626 }, { "NTD ID": 90061, @@ -11981,7 +12943,8 @@ "All Fuels (Wh/pkm)": 1123.5879971311429, "Unlinked Passenger Trips": 817937, "Passenger Paid Fares": 255917, - "Average Fare": 0.31288106541212835 + "Average Fare": 0.31288106541212835, + "Average Passengers": 3.9519776469337042 }, { "NTD ID": 90062, @@ -11989,7 +12952,8 @@ "UACE Code": "80362", "Unlinked Passenger Trips": 75699, "Passenger Paid Fares": 1150344, - "Average Fare": 15.19629057187017 + "Average Fare": 15.19629057187017, + "Average Passengers": 3.428408272294882 }, { "NTD ID": 90062, @@ -12001,7 +12965,8 @@ "All Fuels (Wh/pkm)": 2423.8639411005815, "Unlinked Passenger Trips": 201443, "Passenger Paid Fares": 319767, - "Average Fare": 1.5873820385915618 + "Average Fare": 1.5873820385915618, + "Average Passengers": 1.1185112710776242 }, { "NTD ID": 90062, @@ -12017,7 +12982,8 @@ "All Fuels (Wh/pkm)": 736.3835707225867, "Unlinked Passenger Trips": 4318023, "Passenger Paid Fares": 7868127, - "Average Fare": 1.8221595855325459 + "Average Fare": 1.8221595855325459, + "Average Passengers": 6.027027653386424 }, { "NTD ID": 90078, @@ -12029,7 +12995,8 @@ "All Fuels (Wh/pkm)": 3031.856362075057, "Unlinked Passenger Trips": 149722, "Passenger Paid Fares": 504028, - "Average Fare": 3.366425775771096 + "Average Fare": 3.366425775771096, + "Average Passengers": 1.0614309552817944 }, { "NTD ID": 90078, @@ -12043,7 +13010,8 @@ "All Fuels (Wh/pkm)": 955.0390909846144, "Unlinked Passenger Trips": 3414611, "Passenger Paid Fares": 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(Wh/pkm)": 479.92836099543194, "Unlinked Passenger Trips": 153559, "Passenger Paid Fares": 442655, - "Average Fare": 2.882637943721957 + "Average Fare": 2.882637943721957, + "Average Passengers": 1.6792470144256757 }, { "NTD ID": 90087, @@ -12107,7 +13079,8 @@ "All Fuels (Wh/pkm)": 2260.3133025167263, "Unlinked Passenger Trips": 26211, "Passenger Paid Fares": 15155, - "Average Fare": 0.578192361985426 + "Average Fare": 0.578192361985426, + "Average Passengers": 1.3252184637809123 }, { "NTD ID": 90087, @@ -12121,7 +13094,8 @@ "All Fuels (Wh/pkm)": 1965.0891038910613, "Unlinked Passenger Trips": 685563, "Passenger Paid Fares": 767374, - "Average Fare": 1.1193340364051152 + "Average Fare": 1.1193340364051152, + "Average Passengers": 2.8403163187921194 }, { "NTD ID": 90088, @@ -12133,7 +13107,8 @@ "All Fuels (Wh/pkm)": 1268.7762566312122, "Unlinked Passenger Trips": 98202, "Passenger Paid Fares": 181711, - "Average Fare": 1.8503798293313782 + "Average Fare": 1.8503798293313782, + "Average Passengers": 7.157343281574964 }, { "NTD ID": 90088, @@ -12147,7 +13122,8 @@ "All Fuels (Wh/pkm)": 1470.7674579958166, "Unlinked Passenger Trips": 99575, "Passenger Paid Fares": 202092, - "Average Fare": 2.029545568666834 + "Average Fare": 2.029545568666834, + "Average Passengers": 2.358898131187252 }, { "NTD ID": 90088, @@ -12163,7 +13139,8 @@ "All Fuels (Wh/pkm)": 801.7403633525724, "Unlinked Passenger Trips": 902000, "Passenger Paid Fares": 774638, - "Average Fare": 0.85880044345898 + "Average Fare": 0.85880044345898, + "Average Passengers": 5.764504237901189 }, { "NTD ID": 90089, @@ -12175,7 +13152,8 @@ "All Fuels (Wh/pkm)": 2590.881032155857, "Unlinked Passenger Trips": 59214, "Passenger Paid Fares": 231932, - "Average Fare": 3.9168439895970546 + "Average Fare": 3.9168439895970546, + "Average Passengers": 0.9443861270009763 }, { "NTD ID": 90089, @@ -12189,7 +13167,8 @@ "All Fuels (Wh/pkm)": 343.81916737532106, "Unlinked Passenger Trips": 916541, "Passenger Paid Fares": 1699162, - "Average Fare": 1.8538854235653397 + "Average Fare": 1.8538854235653397, + "Average Passengers": 3.9156281565057434 }, { "NTD ID": 90090, @@ -12201,7 +13180,8 @@ "All Fuels (Wh/pkm)": 2649.2277306351643, "Unlinked Passenger Trips": 24813, "Passenger Paid Fares": 57470, - "Average Fare": 2.3161246120984966 + "Average Fare": 2.3161246120984966, + "Average Passengers": 0.9185833167655998 }, { "NTD ID": 90090, @@ -12215,7 +13195,8 @@ "All Fuels (Wh/pkm)": 305.4846902935714, "Unlinked Passenger Trips": 1264771, "Passenger Paid Fares": 2273084, - "Average Fare": 1.7972296961268088 + "Average Fare": 1.7972296961268088, + "Average Passengers": 5.756193214683124 }, { "NTD ID": 90091, @@ -12227,7 +13208,8 @@ "All Fuels (Wh/pkm)": 154.64127039118696, "Unlinked Passenger Trips": 26740, "Passenger Paid Fares": 61667, - "Average Fare": 2.306170531039641 + "Average Fare": 2.306170531039641, + "Average Passengers": 5.154086605551859 }, { "NTD ID": 90091, @@ -12239,7 +13221,8 @@ "All Fuels (Wh/pkm)": 794.0764354621624, "Unlinked Passenger Trips": 39109, "Passenger Paid Fares": 11141, - "Average Fare": 0.2848704901685034 + "Average Fare": 0.2848704901685034, + "Average Passengers": 1.4119999797229135 }, { "NTD ID": 90091, @@ -12251,7 +13234,8 @@ "All Fuels (Wh/pkm)": 523.9214796054607, "Unlinked Passenger Trips": 1410244, "Passenger Paid Fares": 615211, - "Average Fare": 0.43624436622315005 + "Average Fare": 0.43624436622315005, + "Average Passengers": 4.611243366735401 }, { "NTD ID": 90092, @@ -12263,7 +13247,8 @@ "All Fuels (Wh/pkm)": 797.8252960788883, "Unlinked Passenger Trips": 393719, "Passenger Paid Fares": 1531781, - "Average Fare": 3.890543763445503 + "Average Fare": 3.890543763445503, + "Average Passengers": 6.76364310945451 }, { "NTD ID": 90092, @@ -12275,7 +13260,8 @@ "All Fuels (Wh/pkm)": 3342.7643155618907, "Unlinked Passenger Trips": 25324, "Passenger Paid Fares": 112786, - "Average Fare": 4.453719791502133 + "Average Fare": 4.453719791502133, + "Average Passengers": 0.9896274137847172 }, { "NTD ID": 90092, @@ -12283,7 +13269,8 @@ "UACE Code": "28657", "Unlinked Passenger Trips": 570239, "Passenger Paid Fares": 557857, - "Average Fare": 0.9782862974998202 + "Average Fare": 0.9782862974998202, + "Average Passengers": 1.7750677320139998 }, { "NTD ID": 90093, @@ -12295,7 +13282,8 @@ "All Fuels (Wh/pkm)": 2140.2846062867166, "Unlinked Passenger Trips": 52821, "Passenger Paid Fares": 161296, - "Average Fare": 3.0536339713371574 + "Average Fare": 3.0536339713371574, + "Average Passengers": 1.4423887085910232 }, { "NTD ID": 90093, @@ -12309,7 +13297,8 @@ "All Fuels (Wh/pkm)": 737.688703338459, "Unlinked Passenger Trips": 665600, "Passenger Paid Fares": 654894, - "Average Fare": 0.983915264423077 + "Average Fare": 0.983915264423077, + "Average Passengers": 6.342400994075111 }, { "NTD ID": 90095, @@ -12321,7 +13310,8 @@ "All Fuels (Wh/pkm)": 282.5969982827082, "Unlinked Passenger Trips": 1740540, "Passenger Paid Fares": 8514025, - "Average Fare": 4.891599733416066 + "Average Fare": 4.891599733416066, + "Average Passengers": 4.819267264788219 }, { "NTD ID": 90119, @@ -12333,7 +13323,8 @@ "All Fuels (Wh/pkm)": 1041.7710209387508, "Unlinked Passenger Trips": 841985, "Passenger Paid Fares": 6795, - "Average Fare": 0.008070215027583627 + "Average Fare": 0.008070215027583627, + "Average Passengers": 5.069270824866839 }, { "NTD ID": 90121, @@ -12345,7 +13336,8 @@ "All Fuels (Wh/pkm)": 407.1854355866252, "Unlinked Passenger Trips": 275629, "Passenger Paid Fares": 2216397, - "Average Fare": 8.041232961698515 + "Average Fare": 8.041232961698515, + "Average Passengers": 12.505084141359582 }, { "NTD ID": 90121, @@ -12359,7 +13351,8 @@ "All Fuels (Wh/pkm)": 716.5127403346963, "Unlinked Passenger Trips": 2166653, "Passenger Paid Fares": 2650140, - "Average Fare": 1.2231492537106772 + "Average Fare": 1.2231492537106772, + "Average Passengers": 6.020156966525845 }, { "NTD ID": 90131, @@ -12367,7 +13360,8 @@ "UACE Code": "69184", "CNG (%)": 19.41129746645553, "CNG (Wh/pkm)": 1410.4855380703684, - "Unlinked Passenger Trips": 798280 + "Unlinked Passenger Trips": 798280, + "Average Passengers": 0.8504018641429175 }, { "NTD ID": 90134, @@ -12379,7 +13373,8 @@ "All Fuels (Wh/pkm)": 243.9560890509971, "Unlinked Passenger Trips": 18504880, "Passenger Paid Fares": 97050195, - "Average Fare": 5.244573053162193 + "Average Fare": 5.244573053162193, + "Average Passengers": 305.0656273080194 }, { "NTD ID": 90136, @@ -12395,7 +13390,8 @@ "All Fuels (Wh/pkm)": 623.8435845853585, "Unlinked Passenger Trips": 14730245, "Passenger Paid Fares": 10117067, - "Average Fare": 0.6868227242656181 + "Average Fare": 0.6868227242656181, + "Average Passengers": 4.2604881219820525 }, { "NTD ID": 90136, @@ -12407,7 +13403,8 @@ "All Fuels (Wh/pkm)": 201.7884650224323, "Unlinked Passenger Trips": 1035502, "Passenger Paid Fares": 3173220, - "Average Fare": 3.0644267224978803 + "Average Fare": 3.0644267224978803, + "Average Passengers": 6.442916974670572 }, { "NTD ID": 90140, @@ -12419,7 +13416,8 @@ "All Fuels (Wh/pkm)": 3298.968502906391, "Unlinked Passenger Trips": 20823, "Passenger Paid Fares": 26208, - "Average Fare": 1.258608269701772 + "Average Fare": 1.258608269701772, + "Average Passengers": 1.0784716697604526 }, { "NTD ID": 90142, @@ -12433,7 +13431,8 @@ "All Fuels (Wh/pkm)": 186.7517010211189, "Unlinked Passenger Trips": 4021956, "Passenger Paid Fares": 261325, - "Average Fare": 0.0649746043964678 + "Average Fare": 0.0649746043964678, + "Average Passengers": 9.935209386604113 }, { "NTD ID": 90144, @@ -12445,7 +13444,8 @@ "All Fuels (Wh/pkm)": 1120.6046432577598, "Unlinked Passenger Trips": 1647002, "Passenger Paid Fares": 1513946, - "Average Fare": 0.9192132128558436 + "Average Fare": 0.9192132128558436, + "Average Passengers": 3.8316162703082752 }, { "NTD ID": 90146, @@ -12459,7 +13459,8 @@ "All Fuels (Wh/pkm)": 316.7631646242865, "Unlinked Passenger Trips": 12543650, "Passenger Paid Fares": 16343392, - "Average Fare": 1.3029215579197442 + "Average Fare": 1.3029215579197442, + "Average Passengers": 5.475219875438963 }, { "NTD ID": 90147, @@ -12471,7 +13472,8 @@ "All Fuels (Wh/pkm)": 351.6594818509419, "Unlinked Passenger Trips": 1355077, "Passenger Paid Fares": 3413985, - "Average Fare": 2.519402956437162 + "Average Fare": 2.519402956437162, + "Average Passengers": 6.519826963878847 }, { "NTD ID": 90147, @@ -12481,7 +13483,8 @@ "CNG (Wh/pkm)": 328.37494037643586, "Unlinked Passenger Trips": 202456, "Passenger Paid Fares": 156021, - "Average Fare": 0.7706415221085076 + "Average Fare": 0.7706415221085076, + "Average Passengers": 0.754453295406712 }, { "NTD ID": 90147, @@ -12497,7 +13500,8 @@ "All Fuels (Wh/pkm)": 710.6763292716129, "Unlinked Passenger Trips": 16772781, "Passenger Paid Fares": 7182836, - "Average Fare": 0.428243592997488 + "Average Fare": 0.428243592997488, + "Average Passengers": 5.472586441942767 }, { "NTD ID": 90148, @@ -12509,7 +13513,8 @@ "All Fuels (Wh/pkm)": 431.3723536692408, "Unlinked Passenger Trips": 41052, "Passenger Paid Fares": 445106, - "Average Fare": 10.842492448601773 + "Average Fare": 10.842492448601773, + "Average Passengers": 6.05066621332761 }, { "NTD ID": 90148, @@ -12523,7 +13528,8 @@ "All Fuels (Wh/pkm)": 948.4152471801654, "Unlinked Passenger Trips": 182765, "Passenger Paid Fares": 329682, - "Average Fare": 1.80385741252428 + "Average Fare": 1.80385741252428, + "Average Passengers": 2.267468018067959 }, { "NTD ID": 90148, @@ -12535,7 +13541,8 @@ "All Fuels (Wh/pkm)": 678.4174355091844, "Unlinked Passenger Trips": 1474542, "Passenger Paid Fares": 1633869, - "Average Fare": 1.1080518561017592 + "Average Fare": 1.1080518561017592, + "Average Passengers": 2.8240243879950984 }, { "NTD ID": 90148, @@ -12543,7 +13550,8 @@ "UACE Code": "90541", "Unlinked Passenger Trips": 607617, "Passenger Paid Fares": 2505057, - "Average Fare": 4.122756604900784 + "Average Fare": 4.122756604900784, + "Average Passengers": 5.2338527767856675 }, { "NTD ID": 90151, @@ -12555,7 +13563,8 @@ "All Fuels (Wh/pkm)": 447.05991534396907, "Unlinked Passenger Trips": 14190870, "Passenger Paid Fares": 68945784, - "Average Fare": 4.858460686342698 + "Average Fare": 4.858460686342698, + "Average Passengers": 154.57129745744612 }, { "NTD ID": 90154, @@ -12567,7 +13576,8 @@ "All Fuels (Wh/pkm)": 50.44826656895025, "Unlinked Passenger Trips": 43752286, "Passenger Paid Fares": 29805914, - "Average Fare": 0.6812424383951047 + "Average Fare": 0.6812424383951047, + "Average Passengers": 150.25340528526306 }, { "NTD ID": 90154, @@ -12579,7 +13589,8 @@ "All Fuels (Wh/pkm)": 77.49464913811661, "Unlinked Passenger Trips": 66387207, "Passenger Paid Fares": 45452075, - "Average Fare": 0.6846511105671308 + "Average Fare": 0.6846511105671308, + "Average Passengers": 66.08150553329381 }, { "NTD ID": 90154, @@ -12593,7 +13604,8 @@ "All Fuels (Wh/pkm)": 191.1307235225941, "Unlinked Passenger Trips": 273625420, "Passenger Paid Fares": 197894089, - "Average Fare": 0.723229914092046 + "Average Fare": 0.723229914092046, + "Average Passengers": 13.033583135473203 }, { "NTD ID": 90154, @@ -12605,7 +13617,8 @@ "All Fuels (Wh/pkm)": 300.60147106961006, "Unlinked Passenger Trips": 3428229, "Passenger Paid Fares": 15295759, - "Average Fare": 4.461708654818566 + "Average Fare": 4.461708654818566, + "Average Passengers": 5.221590683540382 }, { "NTD ID": 90156, @@ -12619,7 +13632,8 @@ "All Fuels (Wh/pkm)": 719.3777185412531, "Unlinked Passenger Trips": 945288, "Passenger Paid Fares": 318164, - "Average Fare": 0.33657890505327476 + "Average Fare": 0.33657890505327476, + "Average Passengers": 7.17351719627719 }, { "NTD ID": 90157, @@ -12633,7 +13647,8 @@ "All Fuels (Wh/pkm)": 1424.2907708916111, "Unlinked Passenger Trips": 2227184, "Passenger Paid Fares": 4994249, - "Average Fare": 2.2424052076523537 + "Average Fare": 2.2424052076523537, + "Average Passengers": 1.030352459604296 }, { "NTD ID": 90159, @@ -12645,7 +13660,8 @@ "All Fuels (Wh/pkm)": 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0.6957864257968099 }, { "NTD ID": 90196, @@ -12831,7 +13861,8 @@ "All Fuels (Wh/pkm)": 607.5428816351401, "Unlinked Passenger Trips": 654605, "Passenger Paid Fares": 629720, - "Average Fare": 0.9619847083355612 + "Average Fare": 0.9619847083355612, + "Average Passengers": 3.0686243187604427 }, { "NTD ID": 90196, @@ -12843,7 +13874,8 @@ "All Fuels (Wh/pkm)": 395.8970296940233, "Unlinked Passenger Trips": 22520, "Passenger Paid Fares": 72753, - "Average Fare": 3.230595026642984 + "Average Fare": 3.230595026642984, + "Average Passengers": 3.6087926316933587 }, { "NTD ID": 90200, @@ -12851,7 +13883,8 @@ "UACE Code": "36703", "Unlinked Passenger Trips": 14294, "Passenger Paid Fares": 23403, - "Average Fare": 1.6372603889743949 + "Average Fare": 1.6372603889743949, + "Average Passengers": 0.7844476294859904 }, { "NTD ID": 90200, @@ -12865,7 +13898,8 @@ "All Fuels (Wh/pkm)": 232.97972566295212, "Unlinked Passenger Trips": 704929, "Passenger Paid Fares": 371574, - "Average Fare": 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}, { "NTD ID": 90232, @@ -13241,7 +14304,8 @@ "All Fuels (Wh/pkm)": 2185.7923414718643, "Unlinked Passenger Trips": 681420, "Passenger Paid Fares": 789222, - "Average Fare": 1.1582019899621379 + "Average Fare": 1.1582019899621379, + "Average Passengers": 2.572930029271637 }, { "NTD ID": 90233, @@ -13253,7 +14317,8 @@ "All Fuels (Wh/pkm)": 876.5835698567549, "Unlinked Passenger Trips": 7933, "Passenger Paid Fares": 6778, - "Average Fare": 0.8544056472961049 + "Average Fare": 0.8544056472961049, + "Average Passengers": 0.9066774544259311 }, { "NTD ID": 90233, @@ -13265,7 +14330,8 @@ "All Fuels (Wh/pkm)": 924.0545389697057, "Unlinked Passenger Trips": 434472, "Passenger Paid Fares": 382714, - "Average Fare": 0.8808714945957392 + "Average Fare": 0.8808714945957392, + "Average Passengers": 4.791178178583069 }, { "NTD ID": 90233, @@ -13273,7 +14339,8 @@ "UACE Code": "98020", "Unlinked Passenger Trips": 67622, "Passenger Paid Fares": 369539, - "Average Fare": 5.4647747774392945 + "Average 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0.9000351084786976 }, { "NTD ID": 12, @@ -375,7 +403,8 @@ "All Fuels (Wh/pkm)": 818.5424758767184, "Unlinked Passenger Trips": 3410108, "Passenger Paid Fares": 3338347, - "Average Fare": 0.9789563849590688 + "Average Fare": 0.9789563849590688, + "Average Passengers": 6.604393374156282 }, { "NTD ID": 12, @@ -387,7 +416,8 @@ "All Fuels (Wh/pkm)": 199.91826245098358, "Unlinked Passenger Trips": 208840, "Passenger Paid Fares": 1175411, - "Average Fare": 5.628284811338824 + "Average Fare": 5.628284811338824, + "Average Passengers": 5.782505701683575 }, { "NTD ID": 16, @@ -402,7 +432,8 @@ "All Fuels (Wh/pkm)": 4826.646634980334, "Unlinked Passenger Trips": 55867, "Passenger Paid Fares": 32371, - "Average Fare": 0.5794297170064617 + "Average Fare": 0.5794297170064617, + "Average Passengers": 0.7523784388927436 }, { "NTD ID": 16, @@ -414,7 +445,8 @@ "All Fuels (Wh/pkm)": 1016.6645379057054, "Unlinked Passenger Trips": 334731, "Passenger Paid Fares": 95087, - "Average Fare": 0.2840698949305562 + "Average Fare": 0.2840698949305562, + "Average Passengers": 4.634779140427905 }, { "NTD ID": 18, @@ -426,7 +458,8 @@ "All Fuels (Wh/pkm)": 1140.575459656768, "Unlinked Passenger Trips": 377314, "Passenger Paid Fares": 353529, - "Average Fare": 0.9369623178572754 + "Average Fare": 0.9369623178572754, + "Average Passengers": 1.1212220840326539 }, { "NTD ID": 18, @@ -440,7 +473,8 @@ "All Fuels (Wh/pkm)": 1435.5221399995467, "Unlinked Passenger Trips": 2096572, "Passenger Paid Fares": 741781, - "Average Fare": 0.35380659476516907 + "Average Fare": 0.35380659476516907, + "Average Passengers": 2.9818005659854054 }, { "NTD ID": 19, @@ -452,7 +486,8 @@ "All Fuels (Wh/pkm)": 844.2855671924268, "Unlinked Passenger Trips": 210487, "Passenger Paid Fares": 196279, - "Average Fare": 0.9324993942618784 + "Average Fare": 0.9324993942618784, + "Average Passengers": 8.150052338042835 }, { "NTD ID": 19, @@ -467,7 +502,8 @@ "All Fuels (Wh/pkm)": 2558.6208424363876, "Unlinked Passenger Trips": 215834, "Passenger Paid Fares": 160775, - "Average Fare": 0.7449011740504277 + "Average Fare": 0.7449011740504277, + "Average Passengers": 1.1519293145681246 }, { "NTD ID": 19, @@ -479,7 +515,8 @@ "All Fuels (Wh/pkm)": 928.9634307231017, "Unlinked Passenger Trips": 3819398, "Passenger Paid Fares": 1584515, - "Average Fare": 0.41485988105979005 + "Average Fare": 0.41485988105979005, + "Average Passengers": 5.2443471301085625 }, { "NTD ID": 19, @@ -491,7 +528,8 @@ "All Fuels (Wh/pkm)": 234.00431454891557, "Unlinked Passenger Trips": 491090, "Passenger Paid Fares": 1389142, - "Average Fare": 2.8286912785843734 + "Average Fare": 2.8286912785843734, + "Average Passengers": 6.038128388116445 }, { "NTD ID": 20, @@ -506,7 +544,8 @@ "All Fuels (Wh/pkm)": 1963.3438266870571, "Unlinked Passenger Trips": 305006, "Passenger Paid Fares": 247519, - "Average Fare": 0.8115217405559235 + "Average Fare": 0.8115217405559235, + "Average Passengers": 1.2604558299103472 }, { "NTD ID": 20, @@ -518,7 +557,8 @@ "All 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Passengers": 1.058308194898172 }, { "NTD ID": 21, @@ -572,7 +615,8 @@ "All Fuels (Wh/pkm)": 808.1231643876789, "Unlinked Passenger Trips": 4451508, "Passenger Paid Fares": 1292253, - "Average Fare": 0.2902955582692427 + "Average Fare": 0.2902955582692427, + "Average Passengers": 5.802430135140201 }, { "NTD ID": 21, @@ -584,7 +628,8 @@ "All Fuels (Wh/pkm)": 278.90810246892, "Unlinked Passenger Trips": 33361, "Passenger Paid Fares": 110283, - "Average Fare": 3.305746230628578 + "Average Fare": 3.305746230628578, + "Average Passengers": 5.2506929499150035 }, { "NTD ID": 23, @@ -592,7 +637,8 @@ "UACE Code": "80389", "Unlinked Passenger Trips": 1939224, "Passenger Paid Fares": 4151874, - "Average Fare": 2.140997636167869 + "Average Fare": 2.140997636167869, + "Average Passengers": 35.706581558542524 }, { "NTD ID": 24, @@ -606,7 +652,8 @@ "All Fuels (Wh/pkm)": 2171.6563709625375, "Unlinked Passenger Trips": 264391, "Passenger Paid Fares": 496918, - "Average Fare": 1.8794815254679622 + "Average Fare": 1.8794815254679622, + "Average Passengers": 1.0695885952771658 }, { "NTD ID": 24, @@ -620,7 +667,8 @@ "All Fuels (Wh/pkm)": 730.3704992014672, "Unlinked Passenger Trips": 5989797, "Passenger Paid Fares": 6200070, - "Average Fare": 1.0351051963864553 + "Average Fare": 1.0351051963864553, + "Average Passengers": 6.216619142273358 }, { "NTD ID": 24, @@ -632,7 +680,8 @@ "All Fuels (Wh/pkm)": 270.2444778878115, "Unlinked Passenger Trips": 40874, "Passenger Paid Fares": 158169, - "Average Fare": 3.8696726525419582 + "Average Fare": 3.8696726525419582, + "Average Passengers": 4.035535960519631 }, { "NTD ID": 25, @@ -644,7 +693,8 @@ "All Fuels (Wh/pkm)": 2799.807234835409, "Unlinked Passenger Trips": 241297, "Passenger Paid Fares": 402005, - "Average Fare": 1.6660173976468833 + "Average Fare": 1.6660173976468833, + "Average Passengers": 1.022444360478072 }, { "NTD ID": 25, @@ -658,7 +708,8 @@ "All Fuels (Wh/pkm)": 786.0479839832641, "Unlinked Passenger Trips": 2955477, "Passenger Paid Fares": 2196271, - "Average Fare": 0.7431189618460912 + "Average Fare": 0.7431189618460912, + "Average Passengers": 3.983445622145797 }, { "NTD ID": 25, @@ -670,7 +721,8 @@ "All Fuels (Wh/pkm)": 206.89843988766367, "Unlinked Passenger Trips": 76167, "Passenger Paid Fares": 310822, - "Average Fare": 4.0807961453122745 + "Average Fare": 4.0807961453122745, + "Average Passengers": 5.333643697885371 }, { "NTD ID": 28, @@ -682,7 +734,8 @@ "All Fuels (Wh/pkm)": 2395.854431190641, "Unlinked Passenger Trips": 460515, "Passenger Paid Fares": 2778623, - "Average Fare": 6.0337296287851645 + "Average Fare": 6.0337296287851645, + "Average Passengers": 43.88283562336068 }, { "NTD ID": 29, @@ -694,7 +747,8 @@ "All Fuels (Wh/pkm)": 762.9740471782761, "Unlinked Passenger Trips": 3079701, "Passenger Paid Fares": 7428397, - "Average Fare": 2.412051364726641 + "Average Fare": 2.412051364726641, + "Average Passengers": 12.899624177182636 }, { "NTD ID": 29, @@ -706,7 +760,8 @@ "All Fuels 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0.778690800183399 }, { "NTD ID": 34, @@ -756,7 +814,8 @@ "All Fuels (Wh/pkm)": 459.69550817423016, "Unlinked Passenger Trips": 1184003, "Passenger Paid Fares": 1189888, - "Average Fare": 1.0049704265952029 + "Average Fare": 1.0049704265952029, + "Average Passengers": 6.462127510568498 }, { "NTD ID": 35, @@ -768,7 +827,8 @@ "All Fuels (Wh/pkm)": 2316.131195057708, "Unlinked Passenger Trips": 24255403, "Passenger Paid Fares": 76422888, - "Average Fare": 3.150757297250431 + "Average Fare": 3.150757297250431, + "Average Passengers": 209.2038551408268 }, { "NTD ID": 40, @@ -782,7 +842,8 @@ "All Fuels (Wh/pkm)": 298.07524817946836, "Unlinked Passenger Trips": 17494527, "Passenger Paid Fares": 14040430, - "Average Fare": 0.8025612810223449 + "Average Fare": 0.8025612810223449, + "Average Passengers": 15.481800932803793 }, { "NTD ID": 40, @@ -794,7 +855,8 @@ "All Fuels (Wh/pkm)": 288.9264325347279, "Unlinked Passenger Trips": 4612415, "Passenger Paid Fares": 5407412, - "Average Fare": 1.1723602494571717 + "Average Fare": 1.1723602494571717, + "Average Passengers": 310.616872377323 }, { "NTD ID": 40, @@ -806,7 +868,8 @@ "All Fuels (Wh/pkm)": 34.82625863996872, "Unlinked Passenger Trips": 24761684, "Passenger Paid Fares": 21445826, - "Average Fare": 0.8660891561333227 + "Average Fare": 0.8660891561333227, + "Average Passengers": 77.83348221002852 }, { "NTD ID": 40, @@ -816,7 +879,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 306.49488248622936, "All Fuels (Wh/pkm)": 306.49488248622936, - "Unlinked Passenger Trips": 936957 + "Unlinked Passenger Trips": 936957, + "Average Passengers": 11.132287201268992 }, { "NTD ID": 41, @@ -828,7 +892,8 @@ "All Fuels (Wh/pkm)": 96.38356969473999, "Unlinked Passenger Trips": 203367, "Passenger Paid Fares": 26097415, - "Average Fare": 128.32669508819032 + "Average Fare": 128.32669508819032, + "Average Passengers": 125.96907066064234 }, { "NTD ID": 43, @@ -843,7 +908,8 @@ "All Fuels (Wh/pkm)": 386.1144115435568, "Unlinked Passenger Trips": 56841, "Passenger Paid Fares": 49447, - "Average Fare": 0.8699178409950564 + "Average Fare": 0.8699178409950564, + "Average Passengers": 0.7097873245701688 }, { "NTD ID": 44, @@ -856,7 +922,8 @@ "All Fuels (Wh/pkm)": 3683.7262974188816, "Unlinked Passenger Trips": 75496, "Passenger Paid Fares": 9419, - "Average Fare": 0.12476157677227932 + "Average Fare": 0.12476157677227932, + "Average Passengers": 0.7106050512932757 }, { "NTD ID": 44, @@ -868,7 +935,8 @@ "All Fuels (Wh/pkm)": 1197.2907579094003, "Unlinked Passenger Trips": 560363, "Passenger Paid Fares": 368183, - "Average Fare": 0.6570437377200137 + "Average Fare": 0.6570437377200137, + "Average Passengers": 2.4224218456455433 }, { "NTD ID": 44, @@ -880,7 +948,8 @@ "All Fuels (Wh/pkm)": 262.6923443207379, "Unlinked Passenger Trips": 114180, "Passenger Paid Fares": 475310, - "Average Fare": 4.16281310211946 + "Average Fare": 4.16281310211946, + "Average Passengers": 4.786158506093377 }, { "NTD ID": 46, @@ -897,7 +966,8 @@ 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3.632682183823899 }, { "NTD ID": 58, @@ -949,7 +1022,8 @@ "All Fuels (Wh/pkm)": 264.5282334080884, "Unlinked Passenger Trips": 4491362, "Passenger Paid Fares": 1070657, - "Average Fare": 0.23838136404947988 + "Average Fare": 0.23838136404947988, + "Average Passengers": 14.591139632286502 }, { "NTD ID": 58, @@ -961,7 +1035,8 @@ "All Fuels (Wh/pkm)": 167.84633292644173, "Unlinked Passenger Trips": 2104368, "Passenger Paid Fares": 764384, - "Average Fare": 0.36323684830790054 + "Average Fare": 0.36323684830790054, + "Average Passengers": 39.27205925234735 }, { "NTD ID": 376, @@ -971,7 +1046,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2175.117640498425, "All Fuels (Wh/pkm)": 2175.117640498425, - "Unlinked Passenger Trips": 89958 + "Unlinked Passenger Trips": 89958, + "Average Passengers": 0.4526291411082781 }, { "NTD ID": 415, @@ -983,7 +1059,8 @@ "All Fuels (Wh/pkm)": 181.1774489363547, "Unlinked Passenger Trips": 174463, "Passenger Paid Fares": 1011733, - "Average Fare": 5.799126462344451 + "Average Fare": 5.799126462344451, + "Average Passengers": 8.01982815551616 }, { "NTD ID": 10001, @@ -997,7 +1074,8 @@ "All Fuels (Wh/pkm)": 2026.3692287166043, "Unlinked Passenger Trips": 332010, "Passenger Paid Fares": 209172, - "Average Fare": 0.6300171681575856 + "Average Fare": 0.6300171681575856, + "Average Passengers": 1.1649667575631462 }, { "NTD ID": 10001, @@ -1009,7 +1087,8 @@ "All Fuels (Wh/pkm)": 602.7892535861415, "Unlinked Passenger Trips": 16029388, "Passenger Paid Fares": 11179315, - "Average Fare": 0.6974261899456173 + "Average Fare": 0.6974261899456173, + "Average Passengers": 6.610088745114834 }, { "NTD ID": 10001, @@ -1021,7 +1100,8 @@ "All Fuels (Wh/pkm)": 250.7243896646268, "Unlinked Passenger Trips": 17990, "Passenger Paid Fares": 102568, - "Average Fare": 5.701389660922735 + "Average Fare": 5.701389660922735, + "Average Passengers": 6.661846579794758 }, { "NTD ID": 10003, @@ -1033,7 +1113,8 @@ "All Fuels (Wh/pkm)": 306.58175211390284, "Unlinked Passenger Trips": 31177738, "Passenger Paid Fares": 238575681, - "Average Fare": 7.652116423584033 + "Average Fare": 7.652116423584033, + "Average Passengers": 139.0675705608804 }, { "NTD ID": 10003, @@ -1045,7 +1126,8 @@ "All Fuels (Wh/pkm)": 3059.5626468950186, "Unlinked Passenger Trips": 1862279, "Passenger Paid Fares": 6045296, - "Average Fare": 3.2461816945795983 + "Average Fare": 3.2461816945795983, + "Average Passengers": 0.7750614994143431 }, { "NTD ID": 10003, @@ -1057,7 +1139,8 @@ "All Fuels (Wh/pkm)": 2260.839100362056, "Unlinked Passenger Trips": 1584440, "Passenger Paid Fares": 11649892, - "Average Fare": 7.352687384817349 + "Average Fare": 7.352687384817349, + "Average Passengers": 52.44164851822179 }, { "NTD ID": 10003, @@ -1069,7 +1152,8 @@ "All Fuels (Wh/pkm)": 34.4554103882372, "Unlinked Passenger Trips": 160351814, "Passenger Paid Fares": 224415154, - "Average Fare": 1.3995174011564346 + "Average Fare": 1.3995174011564346, + "Average Passengers": 145.19229695410215 }, { "NTD ID": 10003, @@ -1081,7 +1165,8 @@ "All Fuels (Wh/pkm)": 114.97882692715135, "Unlinked Passenger Trips": 56975564, "Passenger Paid Fares": 81704871, - "Average Fare": 1.434033562177638 + "Average Fare": 1.434033562177638, + "Average Passengers": 45.19150137032331 }, { "NTD ID": 10003, @@ -1097,7 +1182,8 @@ "All Fuels (Wh/pkm)": 534.4485326656658, "Unlinked Passenger Trips": 100252985, "Passenger Paid Fares": 96603803, - "Average Fare": 0.9636002658673953 + "Average Fare": 0.9636002658673953, + "Average Passengers": 10.166106811761782 }, { "NTD ID": 10003, @@ -1110,7 +1196,8 @@ "All Fuels (Wh/pkm)": 560.7306771595602, "Unlinked Passenger Trips": 11490833, "Passenger Paid Fares": 10627552, - "Average Fare": 0.9248722003008834 + "Average Fare": 0.9248722003008834, + "Average Passengers": 14.79473556527503 }, { "NTD ID": 10003, @@ -1122,7 +1209,8 @@ "All Fuels (Wh/pkm)": 386.322821267484, "Unlinked Passenger Trips": 3021243, "Passenger Paid Fares": 1899150, - 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1192.5897730638264, "Unlinked Passenger Trips": 1370690, "Passenger Paid Fares": 1324536, - "Average Fare": 0.9663279078420358 + "Average Fare": 0.9663279078420358, + "Average Passengers": 4.922174507182782 }, { "NTD ID": 10006, @@ -1186,7 +1278,8 @@ "All Fuels (Wh/pkm)": 3979.551475736561, "Unlinked Passenger Trips": 82500, "Passenger Paid Fares": 199320, - "Average Fare": 2.416 + "Average Fare": 2.416, + "Average Passengers": 0.7157454944484843 }, { "NTD ID": 10006, @@ -1198,7 +1291,8 @@ "All Fuels (Wh/pkm)": 1036.6126345876544, "Unlinked Passenger Trips": 2666570, "Passenger Paid Fares": 2267445, - "Average Fare": 0.850322699197846 + "Average Fare": 0.850322699197846, + "Average Passengers": 5.166891021378587 }, { "NTD ID": 10007, @@ -1210,7 +1304,8 @@ "All Fuels (Wh/pkm)": 3290.691087999274, "Unlinked Passenger Trips": 27298, "Passenger Paid Fares": 110108, - "Average Fare": 4.033555571836764 + "Average Fare": 4.033555571836764, + "Average Passengers": 0.7916134245339748 }, { "NTD 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"Average Fare": 5.586975107691296, + "Average Passengers": 9.475005023683078 }, { "NTD ID": 10013, @@ -1276,7 +1375,8 @@ "All Fuels (Wh/pkm)": 4274.963244416983, "Unlinked Passenger Trips": 91944, "Passenger Paid Fares": 188821, - "Average Fare": 2.053652223092317 + "Average Fare": 2.053652223092317, + "Average Passengers": 0.6679296422937954 }, { "NTD ID": 10013, @@ -1288,7 +1388,8 @@ "All Fuels (Wh/pkm)": 907.9651676090908, "Unlinked Passenger Trips": 1952888, "Passenger Paid Fares": 1141975, - "Average Fare": 0.584762157379225 + "Average Fare": 0.584762157379225, + "Average Passengers": 4.949387271009925 }, { "NTD ID": 10014, @@ -1302,7 +1403,8 @@ "All Fuels (Wh/pkm)": 1001.027347406239, "Unlinked Passenger Trips": 132396, "Passenger Paid Fares": 237427, - "Average Fare": 1.7933094655427657 + "Average Fare": 1.7933094655427657, + "Average Passengers": 0.8170877355083793 }, { "NTD ID": 10016, @@ -1316,7 +1418,8 @@ "All Fuels (Wh/pkm)": 709.0526782895936, "Unlinked Passenger Trips": 2111881, "Passenger Paid Fares": 1748899, - "Average Fare": 0.828123838417032 + "Average Fare": 0.828123838417032, + "Average Passengers": 4.636095661917071 }, { "NTD ID": 10017, @@ -1332,7 +1435,8 @@ "All Fuels (Wh/pkm)": 2941.250287844269, "Unlinked Passenger Trips": 513438, "Passenger Paid Fares": 1357670, - "Average Fare": 2.644272531444887 + "Average Fare": 2.644272531444887, + "Average Passengers": 0.8613668487327146 }, { "NTD ID": 10040, @@ -1343,7 +1447,8 @@ "All Fuels (Wh/pkm)": 873.1461714780144, "Unlinked Passenger Trips": 6214, "Passenger Paid Fares": 23579, - "Average Fare": 3.794496298680399 + "Average Fare": 3.794496298680399, + "Average Passengers": 0.27623629016740425 }, { "NTD ID": 10042, @@ -1353,7 +1458,8 @@ "Gasoline (Wh/pkm)": 4090.3756536271176, "Unlinked Passenger Trips": 48529, "Passenger Paid Fares": 66377, - "Average Fare": 1.3677800902553112 + "Average Fare": 1.3677800902553112, + "Average Passengers": 1.3777172765218861 }, { "NTD ID": 10045, @@ -1365,7 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0.6773087423651716, + "Average Passengers": 10.778024263710986 }, { "NTD ID": 10049, @@ -1413,7 +1523,8 @@ "All Fuels (Wh/pkm)": 3655.4078190042483, "Unlinked Passenger Trips": 232347, "Passenger Paid Fares": 219160, - "Average Fare": 0.9432443715649438 + "Average Fare": 0.9432443715649438, + "Average Passengers": 0.8057939860456163 }, { "NTD ID": 10050, @@ -1427,7 +1538,8 @@ "All Fuels (Wh/pkm)": 1995.791222453894, "Unlinked Passenger Trips": 97894, "Passenger Paid Fares": 199949, - "Average Fare": 2.042505158640979 + "Average Fare": 2.042505158640979, + "Average Passengers": 1.072498260069737 }, { "NTD ID": 10050, @@ -1439,7 +1551,8 @@ "All Fuels (Wh/pkm)": 639.5502664757757, "Unlinked Passenger Trips": 5204604, "Passenger Paid Fares": 3422295, - "Average Fare": 0.6575514678926582 + "Average Fare": 0.6575514678926582, + "Average Passengers": 8.777246223293114 }, { "NTD ID": 10051, @@ -1453,7 +1566,8 @@ "All Fuels (Wh/pkm)": 2866.9937737689265, "Unlinked Passenger Trips": 60545, "Passenger Paid Fares": 72261, - "Average Fare": 1.1935089602774795 + "Average Fare": 1.1935089602774795, + "Average Passengers": 0.9376677291923341 }, { "NTD ID": 10051, @@ -1461,7 +1575,8 @@ "UACE Code": "22096", "Unlinked Passenger Trips": 621679, "Passenger Paid Fares": 783788, - "Average Fare": 1.2607599741989033 + "Average Fare": 1.2607599741989033, + "Average Passengers": 3.559537432081177 }, { "NTD ID": 10053, @@ -1473,7 +1588,8 @@ "All Fuels (Wh/pkm)": 3003.8637378602484, "Unlinked Passenger Trips": 29371, "Passenger Paid Fares": 30531, - "Average Fare": 1.039494739709237 + "Average Fare": 1.039494739709237, + "Average Passengers": 0.8139388677663683 }, { "NTD ID": 10053, @@ -1485,7 +1601,8 @@ "All Fuels (Wh/pkm)": 1101.9054369866221, "Unlinked Passenger Trips": 206000, "Passenger Paid Fares": 158172, - "Average Fare": 0.7678252427184467 + "Average Fare": 0.7678252427184467, + "Average Passengers": 3.3856844287219374 }, { "NTD ID": 10055, @@ -1497,7 +1614,8 @@ "All Fuels 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Passengers": 1.283628131488744 }, { "NTD ID": 10064, @@ -1550,7 +1671,8 @@ "All Fuels (Wh/pkm)": 1601.7254939936852, "Unlinked Passenger Trips": 317392, "Passenger Paid Fares": 371737, - "Average Fare": 1.1712235973181429 + "Average Fare": 1.1712235973181429, + "Average Passengers": 0.8621015331663007 }, { "NTD ID": 10066, @@ -1562,7 +1684,8 @@ "All Fuels (Wh/pkm)": 3568.042704427579, "Unlinked Passenger Trips": 158805, "Passenger Paid Fares": 100135, - "Average Fare": 0.6305531941689494 + "Average Fare": 0.6305531941689494, + "Average Passengers": 0.8382296409168593 }, { "NTD ID": 10066, @@ -1574,7 +1697,8 @@ "All Fuels (Wh/pkm)": 692.542376810648, "Unlinked Passenger Trips": 2443703, "Passenger Paid Fares": 1122334, - "Average Fare": 0.45927594310765263 + "Average Fare": 0.45927594310765263, + "Average Passengers": 3.7970333433100576 }, { "NTD ID": 10086, @@ -1587,7 +1711,8 @@ "All Fuels (Wh/pkm)": 1044.9971132813391, "Unlinked Passenger Trips": 24502, "Passenger Paid Fares": 68725, 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1604.4106542832826, "Unlinked Passenger Trips": 173342, "Passenger Paid Fares": 189922, - "Average Fare": 1.095649063700661 + "Average Fare": 1.095649063700661, + "Average Passengers": 1.3424549611316936 }, { "NTD ID": 10102, @@ -1646,7 +1775,8 @@ "UACE Code": "37243", "Unlinked Passenger Trips": 161230, "Passenger Paid Fares": 309273, - "Average Fare": 1.9182100105439435 + "Average Fare": 1.9182100105439435, + "Average Passengers": 5.3913823928671984 }, { "NTD ID": 10102, @@ -1658,7 +1788,8 @@ "All Fuels (Wh/pkm)": 846.8548424663669, "Unlinked Passenger Trips": 595447, "Passenger Paid Fares": 1852605, - "Average Fare": 3.1112844636046533 + "Average Fare": 3.1112844636046533, + "Average Passengers": 32.43288900058574 }, { "NTD ID": 10105, @@ -1670,7 +1801,8 @@ "All Fuels (Wh/pkm)": 2820.133973084689, "Unlinked Passenger Trips": 463570, "Passenger Paid Fares": 6093606, - "Average Fare": 13.144953297236663 + "Average Fare": 13.144953297236663, + "Average Passengers": 0.8464647965799079 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"Average Fare": 1.097081607608529, + "Average Passengers": 1.116856844668638 }, { "NTD ID": 10128, @@ -1733,7 +1869,8 @@ "All Fuels (Wh/pkm)": 3367.2030977533864, "Unlinked Passenger Trips": 117492, "Passenger Paid Fares": 218930, - "Average Fare": 1.863360909678957 + "Average Fare": 1.863360909678957, + "Average Passengers": 0.8981699726572815 }, { "NTD ID": 10128, @@ -1745,7 +1882,8 @@ "All Fuels (Wh/pkm)": 1644.964691080148, "Unlinked Passenger Trips": 2042370, "Passenger Paid Fares": 1662899, - "Average Fare": 0.8142006590382742 + "Average Fare": 0.8142006590382742, + "Average Passengers": 3.060363004859814 }, { "NTD ID": 10130, @@ -1757,7 +1895,8 @@ "All Fuels (Wh/pkm)": 1381.7150130639018, "Unlinked Passenger Trips": 645308, "Passenger Paid Fares": 426370, - "Average Fare": 0.6607232515326015 + "Average Fare": 0.6607232515326015, + "Average Passengers": 4.359822106916906 }, { "NTD ID": 10183, @@ -1769,7 +1908,8 @@ "All Fuels (Wh/pkm)": 2022.3197238784276, "Unlinked Passenger Trips": 3004436, "Passenger Paid Fares": 30938007, - "Average Fare": 10.297442515001151 + "Average Fare": 10.297442515001151, + "Average Passengers": 105.18375886972335 }, { "NTD ID": 10183, @@ -1781,7 +1921,8 @@ "Diesel (Wh/pkm)": 330.0317830847919, "CNG (Wh/pkm)": 76.52099988624961, "All Fuels (Wh/pkm)": 301.37509348872203, - "Unlinked Passenger Trips": 857547 + "Unlinked Passenger Trips": 857547, + "Average Passengers": 10.743082955399741 }, { "NTD ID": 11147, @@ -1793,7 +1934,8 @@ "All Fuels (Wh/pkm)": 3347.356206898308, "Unlinked Passenger Trips": 42686, "Passenger Paid Fares": 381667, - "Average Fare": 8.941268800074965 + "Average Fare": 8.941268800074965, + "Average Passengers": 44.187479922903954 }, { "NTD ID": 20002, @@ -1801,7 +1943,8 @@ "UACE Code": "00970", "Unlinked Passenger Trips": 128143, "Passenger Paid Fares": 242608, - "Average Fare": 1.8932598737348119 + "Average Fare": 1.8932598737348119, + "Average Passengers": 0.9109738237522094 }, { "NTD ID": 20002, @@ -1815,7 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2.884661466953226, + "Average Passengers": 0.9090775813844717 }, { "NTD ID": 20004, @@ -1869,7 +2016,8 @@ "All Fuels (Wh/pkm)": 152.84597688924862, "Unlinked Passenger Trips": 4485084, "Passenger Paid Fares": 2556788, - "Average Fare": 0.5700646855220549 + "Average Fare": 0.5700646855220549, + "Average Passengers": 32.9293687250722 }, { "NTD ID": 20004, @@ -1877,7 +2025,8 @@ "UACE Code": "11350", "Unlinked Passenger Trips": 19282797, "Passenger Paid Fares": 16345191, - "Average Fare": 0.847656644417301 + "Average Fare": 0.847656644417301, + "Average Passengers": 6.624580549591937 }, { "NTD ID": 20006, @@ -1889,7 +2038,8 @@ "All Fuels (Wh/pkm)": 2726.175192427742, "Unlinked Passenger Trips": 8637, "Passenger Paid Fares": 6478, - "Average Fare": 0.7500289452356143 + "Average Fare": 0.7500289452356143, + "Average Passengers": 0.941975049795576 }, { "NTD ID": 20006, @@ -1897,7 +2047,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 196886, "Passenger Paid Fares": 344473, - "Average Fare": 1.7496063711995775 + "Average Fare": 1.7496063711995775, + "Average Passengers": 2.4821274279394485 }, { "NTD ID": 20008, @@ -1909,7 +2060,8 @@ "All Fuels (Wh/pkm)": 630.0856044560613, "Unlinked Passenger Trips": 11477164, "Passenger Paid Fares": 76398352, - "Average Fare": 6.656553134554843 + "Average Fare": 6.656553134554843, + "Average Passengers": 9.17536765387627 }, { "NTD ID": 20008, @@ -1923,7 +2075,8 @@ "All Fuels (Wh/pkm)": 3820.604597635697, "Unlinked Passenger Trips": 4828423, "Passenger Paid Fares": 9781667, - "Average Fare": 2.0258512976182907 + "Average Fare": 2.0258512976182907, + "Average Passengers": 0.9221077469378978 }, { "NTD ID": 20008, @@ -1935,7 +2088,8 @@ "All Fuels (Wh/pkm)": 11.438525203674985, "Unlinked Passenger Trips": 2712521697, "Passenger Paid Fares": 3643213720, - "Average Fare": 1.3431095220470783 + "Average Fare": 1.3431095220470783, + "Average Passengers": 261.1332825215592 }, { "NTD ID": 20008, @@ -1951,7 +2105,8 @@ "All Fuels (Wh/pkm)": 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0.7220413796738246 }, { "NTD ID": 20018, @@ -1999,7 +2157,8 @@ "All Fuels (Wh/pkm)": 750.8768822248672, "Unlinked Passenger Trips": 10008861, "Passenger Paid Fares": 6942795, - "Average Fare": 0.6936648435821019 + "Average Fare": 0.6936648435821019, + "Average Passengers": 6.263117580698921 }, { "NTD ID": 20072, @@ -2011,7 +2170,8 @@ "All Fuels (Wh/pkm)": 2924.6860766728023, "Unlinked Passenger Trips": 752779, "Passenger Paid Fares": 2363708, - "Average Fare": 3.139976008895041 + "Average Fare": 3.139976008895041, + "Average Passengers": 0.8853399337236678 }, { "NTD ID": 20072, @@ -2025,7 +2185,8 @@ "All Fuels (Wh/pkm)": 1291.080727125445, "Unlinked Passenger Trips": 3674726, "Passenger Paid Fares": 5691062, - "Average Fare": 1.54870376730129 + "Average Fare": 1.54870376730129, + "Average Passengers": 3.2941357656153336 }, { "NTD ID": 20075, @@ -2037,7 +2198,8 @@ "All Fuels (Wh/pkm)": 56.99475966399134, "Unlinked Passenger Trips": 11107474, "Passenger Paid Fares": 27243638, - "Average Fare": 2.4527302967353335 + "Average Fare": 2.4527302967353335, + "Average Passengers": 93.68578116850597 }, { "NTD ID": 20076, @@ -2049,7 +2211,8 @@ "All Fuels (Wh/pkm)": 2098.504988452046, "Unlinked Passenger Trips": 310627, "Passenger Paid Fares": 1416305, - "Average Fare": 4.559503842228782 + "Average Fare": 4.559503842228782, + "Average Passengers": 0.7798591989027216 }, { "NTD ID": 20076, @@ -2061,7 +2224,8 @@ "All Fuels (Wh/pkm)": 549.8765195921577, "Unlinked Passenger Trips": 26474087, "Passenger Paid Fares": 45934436, - "Average Fare": 1.7350715815053415 + "Average Fare": 1.7350715815053415, + "Average Passengers": 11.3253486006002 }, { "NTD ID": 20078, @@ -2074,7 +2238,8 @@ "All Fuels (Wh/pkm)": 39.5038166886253, "Unlinked Passenger Trips": 91433762, "Passenger Paid Fares": 756678075, - "Average Fare": 8.275696618498536 + "Average Fare": 8.275696618498536, + "Average Passengers": 192.4162193561774 }, { "NTD ID": 20078, @@ -2086,7 +2251,8 @@ "All Fuels (Wh/pkm)": 6511.539576326256, "Unlinked Passenger Trips": 172797, "Passenger Paid Fares": 236470, - "Average Fare": 1.3684844065579842 + "Average Fare": 1.3684844065579842, + "Average Passengers": 16.424321248577467 }, { "NTD ID": 20078, @@ -2094,7 +2260,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 406193, "Passenger Paid Fares": 618186, - "Average Fare": 1.5219021499631948 + "Average Fare": 1.5219021499631948, + "Average Passengers": 2.0785660191118036 }, { "NTD ID": 20080, @@ -2109,7 +2276,8 @@ "All Fuels (Wh/pkm)": 193.52910322394195, "Unlinked Passenger Trips": 89562931, "Passenger Paid Fares": 566604397, - "Average Fare": 6.326327093962568 + "Average Fare": 6.326327093962568, + "Average Passengers": 227.7311738464158 }, { "NTD ID": 20080, @@ -2121,7 +2289,8 @@ "All Fuels (Wh/pkm)": 4457.705664822391, "Unlinked Passenger Trips": 1711304, "Passenger Paid Fares": 3676854, - "Average Fare": 2.148568576944833 + "Average Fare": 2.148568576944833, + "Average Passengers": 0.5362852395891253 }, { "NTD ID": 20080, @@ -2133,7 +2302,8 @@ "All Fuels (Wh/pkm)": 191.06699486393555, "Unlinked Passenger Trips": 21550401, "Passenger Paid Fares": 20886057, - "Average Fare": 0.9691725457916073 + "Average Fare": 0.9691725457916073, + "Average Passengers": 40.843842232953214 }, { "NTD ID": 20080, @@ -2147,7 +2317,8 @@ "All Fuels (Wh/pkm)": 550.2110281519406, "Unlinked Passenger Trips": 151065577, "Passenger Paid Fares": 384738798, - "Average Fare": 2.546833008819739 + "Average Fare": 2.546833008819739, + "Average Passengers": 9.812261461036872 }, { "NTD ID": 20080, @@ -2159,7 +2330,8 @@ "All Fuels (Wh/pkm)": 277.0804398903864, "Unlinked Passenger Trips": 635166, "Passenger Paid Fares": 1640036, - "Average Fare": 2.5820588633522576 + "Average Fare": 2.5820588633522576, + "Average Passengers": 5.646885881743435 }, { "NTD ID": 20080, @@ -2171,7 +2343,8 @@ "All Fuels (Wh/pkm)": 310.27134677841013, "Unlinked Passenger Trips": 2744872, "Passenger Paid Fares": 2327483, - "Average Fare": 0.847938628832237 + "Average Fare": 0.847938628832237, + "Average Passengers": 40.67695580006163 }, { "NTD ID": 20082, @@ -2181,7 +2354,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 846.6762240560116, "All Fuels (Wh/pkm)": 846.6762240560116, - "Unlinked Passenger Trips": 25221976 + "Unlinked Passenger Trips": 25221976, + "Average Passengers": 623.7422123935893 }, { "NTD ID": 20084, @@ -2193,7 +2367,8 @@ "All Fuels (Wh/pkm)": 2758.452840154581, "Unlinked Passenger Trips": 57293, "Passenger Paid Fares": 131098, - "Average Fare": 2.2882027472815176 + "Average Fare": 2.2882027472815176, + "Average Passengers": 0.8796629656218456 }, { "NTD ID": 20084, @@ -2205,7 +2380,8 @@ "All Fuels (Wh/pkm)": 887.3716302181224, "Unlinked Passenger Trips": 1553206, "Passenger Paid Fares": 2123048, - "Average Fare": 1.3668811477679073 + "Average Fare": 1.3668811477679073, + "Average Passengers": 5.227149333256785 }, { "NTD ID": 20096, @@ -2217,7 +2393,8 @@ "All Fuels (Wh/pkm)": 2341.74186751612, "Unlinked Passenger Trips": 14825, "Passenger Paid Fares": 48375, - "Average Fare": 3.263069139966273 + "Average Fare": 3.263069139966273, + "Average Passengers": 0.8715348208248818 }, { "NTD ID": 20096, @@ -2229,7 +2406,8 @@ "All Fuels (Wh/pkm)": 1745.2844027242688, "Unlinked Passenger Trips": 106387, "Passenger Paid Fares": 162380, - "Average Fare": 1.526314305319259 + "Average Fare": 1.526314305319259, + "Average Passengers": 1.7027707655465556 }, { "NTD ID": 20098, @@ -2241,7 +2419,8 @@ "All Fuels (Wh/pkm)": 4680.317920507008, "Unlinked Passenger Trips": 1397014, "Passenger Paid Fares": 9565947, - "Average Fare": 6.847423862609824 + "Average Fare": 6.847423862609824, + "Average Passengers": 18.92872126514863 }, { "NTD ID": 20098, @@ -2253,7 +2432,8 @@ "All Fuels (Wh/pkm)": 18.20577548590686, "Unlinked Passenger Trips": 90275181, "Passenger Paid Fares": 197809403, - "Average Fare": 2.191182568772695 + "Average Fare": 2.191182568772695, + "Average Passengers": 247.9845491133714 }, { "NTD ID": 20099, @@ -2265,7 +2445,8 @@ "All Fuels (Wh/pkm)": 94.74023261698343, "Unlinked Passenger Trips": 7731849, "Passenger Paid Fares": 8485089, - "Average Fare": 1.0974204229803246 + "Average Fare": 1.0974204229803246, + "Average Passengers": 68.63721919288102 }, { "NTD ID": 20100, @@ -2280,7 +2461,8 @@ "All Fuels (Wh/pkm)": 13.79182742293257, "Unlinked Passenger Trips": 114241364, "Passenger Paid Fares": 768917681, - "Average Fare": 6.730641635196163 + "Average Fare": 6.730641635196163, + "Average Passengers": 446.653920891703 }, { "NTD ID": 20113, @@ -2292,7 +2474,8 @@ "All Fuels (Wh/pkm)": 3393.0012946199918, "Unlinked Passenger Trips": 222658, "Passenger Paid Fares": 397576, - "Average Fare": 1.7855904571136003 + "Average Fare": 1.7855904571136003, + "Average Passengers": 0.828726768568478 }, { "NTD ID": 20113, @@ -2304,7 +2487,8 @@ "All Fuels (Wh/pkm)": 712.1698262047238, "Unlinked Passenger Trips": 14472203, "Passenger Paid Fares": 21625779, - "Average Fare": 1.4942976546141593 + "Average Fare": 1.4942976546141593, + "Average Passengers": 8.22318839660004 }, { "NTD ID": 20113, @@ -2312,7 +2496,8 @@ "UACE Code": "75664", "Unlinked Passenger Trips": 17971, "Passenger Paid Fares": 42261, - "Average Fare": 2.351622057759724 + "Average Fare": 2.351622057759724, + "Average Passengers": 6.593063400470899 }, { "NTD ID": 20122, @@ -2324,7 +2509,8 @@ "All Fuels (Wh/pkm)": 340.41121258872784, "Unlinked Passenger Trips": 3035561, "Passenger Paid Fares": 35084630, - "Average Fare": 11.557873486976542 + "Average Fare": 11.557873486976542, + "Average Passengers": 15.09183062706583 }, { "NTD ID": 20126, @@ -2336,7 +2522,8 @@ "All Fuels (Wh/pkm)": 264.3637264442762, "Unlinked Passenger Trips": 4061438, "Passenger Paid Fares": 45763311, - "Average Fare": 11.267760581350743 + "Average Fare": 11.267760581350743, + "Average Passengers": 18.260903656736286 }, { "NTD ID": 20128, @@ -2348,7 +2535,8 @@ "All Fuels (Wh/pkm)": 235.04929887659972, "Unlinked Passenger Trips": 2421013, "Passenger Paid Fares": 29425301, - "Average Fare": 12.154127631697971 + "Average Fare": 12.154127631697971, + "Average Passengers": 18.76381437062485 }, { "NTD ID": 20135, @@ -2360,7 +2548,8 @@ "All Fuels (Wh/pkm)": 321.9946136580856, "Unlinked Passenger Trips": 603888, "Passenger Paid Fares": 3961225, - "Average Fare": 6.559535874201838 + "Average Fare": 6.559535874201838, + "Average Passengers": 21.440608103767175 }, { "NTD ID": 20145, @@ -2372,7 +2561,8 @@ "All Fuels (Wh/pkm)": 2259.592534479551, "Unlinked Passenger Trips": 55714, "Passenger Paid Fares": 74414, - "Average Fare": 1.3356427468858814 + "Average Fare": 1.3356427468858814, + "Average Passengers": 1.1705416654891623 }, { "NTD ID": 20145, @@ -2386,7 +2576,8 @@ "All Fuels (Wh/pkm)": 862.8774406444375, "Unlinked Passenger Trips": 4236232, "Passenger Paid Fares": 1061629, - "Average Fare": 0.25060690727042334 + "Average Fare": 0.25060690727042334, + "Average Passengers": 6.611922457721162 }, { "NTD ID": 20149, @@ -2398,7 +2589,8 @@ "All Fuels (Wh/pkm)": 527.0114458757325, "Unlinked Passenger Trips": 1889024, "Passenger Paid Fares": 14152606, - "Average Fare": 7.492020217847947 + "Average Fare": 7.492020217847947, + "Average Passengers": 13.796777439558252 }, { "NTD ID": 20161, @@ -2410,7 +2602,8 @@ "All Fuels (Wh/pkm)": 358.1869815773452, "Unlinked Passenger Trips": 1835178, "Passenger Paid Fares": 13049112, - "Average Fare": 7.110542955506223 + "Average Fare": 7.110542955506223, + "Average Passengers": 14.667585127087023 }, { "NTD ID": 20163, @@ -2422,7 +2615,8 @@ "All Fuels (Wh/pkm)": 317.12262248608056, "Unlinked Passenger Trips": 1609866, "Passenger Paid Fares": 16378526, - "Average Fare": 10.173844282691851 + "Average Fare": 10.173844282691851, + "Average Passengers": 15.47685460611887 }, { "NTD ID": 20166, @@ -2434,7 +2628,8 @@ "All Fuels (Wh/pkm)": 564.1328256192489, "Unlinked Passenger Trips": 6671294, "Passenger Paid Fares": 12930832, - "Average Fare": 1.938279440240529 + "Average Fare": 1.938279440240529, + "Average Passengers": 10.396845665683822 }, { "NTD ID": 20169, @@ -2446,7 +2641,8 @@ "All Fuels (Wh/pkm)": 219.53701475579, "Unlinked Passenger Trips": 1180800, "Passenger Paid Fares": 26158296, - "Average Fare": 22.153028455284552 + "Average Fare": 22.153028455284552, + "Average Passengers": 18.009972522547347 }, { "NTD ID": 20177, @@ -2458,7 +2654,8 @@ "All Fuels (Wh/pkm)": 128.47811849197464, "Unlinked Passenger Trips": 478675, "Passenger Paid Fares": 11789219, - "Average Fare": 24.628858829059382 + "Average Fare": 24.628858829059382, + "Average Passengers": 15.244852185290178 }, { "NTD ID": 20188, @@ -2472,7 +2669,8 @@ "All Fuels (Wh/pkm)": 691.3263906027827, "Unlinked Passenger Trips": 135080070, "Passenger Paid Fares": 224811595, - "Average Fare": 1.6642839687601583 + "Average Fare": 1.6642839687601583, + "Average Passengers": 10.209109861716312 }, { "NTD ID": 20189, @@ -2484,7 +2682,8 @@ "All Fuels (Wh/pkm)": 3406.752941556551, "Unlinked Passenger Trips": 2858365, "Passenger Paid Fares": 15429479, - "Average Fare": 5.398008651799193 + "Average Fare": 5.398008651799193, + "Average Passengers": 19.034207178174448 }, { "NTD ID": 20190, @@ -2496,7 +2695,8 @@ "All Fuels (Wh/pkm)": 2607.9798682455794, "Unlinked Passenger Trips": 4966862, "Passenger Paid Fares": 47685380, - "Average Fare": 9.600705636677645 + "Average Fare": 9.600705636677645, + "Average Passengers": 42.92615942134387 }, { "NTD ID": 20190, @@ -2506,7 +2706,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1149.295735351169, "All Fuels (Wh/pkm)": 1149.295735351169, - "Unlinked Passenger Trips": 3065464 + "Unlinked Passenger Trips": 3065464, + "Average Passengers": 6.744617040232166 }, { "NTD ID": 20192, @@ -2516,7 +2717,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1685.6060286410122, "All Fuels (Wh/pkm)": 1685.6060286410122, - "Unlinked Passenger Trips": 204067 + "Unlinked Passenger Trips": 204067, + "Average Passengers": 1.6649991975024203 }, { "NTD ID": 20192, @@ -2526,7 +2728,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 734.4878992649205, "All Fuels (Wh/pkm)": 734.4878992649205, - "Unlinked Passenger Trips": 23911 + "Unlinked Passenger Trips": 23911, + "Average Passengers": 3.7225751800084708 }, { "NTD ID": 20193, @@ -2538,7 +2741,8 @@ "Gasoline (Wh/pkm)": 3230.2246747337285, "Diesel (Wh/pkm)": 2789.674128140042, "All Fuels (Wh/pkm)": 3227.6867672846615, - "Unlinked Passenger Trips": 83501 + "Unlinked Passenger Trips": 83501, + "Average Passengers": 0.9129585198297602 }, { "NTD ID": 20199, @@ -2550,7 +2754,8 @@ "Gasoline (Wh/pkm)": 2771.5546148160283, "Diesel (Wh/pkm)": 1573.499276126328, "All Fuels (Wh/pkm)": 2688.0898976121466, - "Unlinked Passenger Trips": 113081 + "Unlinked Passenger Trips": 113081, + "Average Passengers": 1.1714799181411166 }, { "NTD ID": 20204, @@ -2564,7 +2769,8 @@ "All Fuels (Wh/pkm)": 3220.9272797938615, "Unlinked Passenger Trips": 161141, "Passenger Paid Fares": 10827, - "Average Fare": 0.06718960413550866 + "Average Fare": 0.06718960413550866, + "Average Passengers": 0.8946782938801546 }, { "NTD ID": 20206, @@ -2578,7 +2784,8 @@ "All Fuels (Wh/pkm)": 2103.13609262442, "Unlinked Passenger Trips": 354310, "Passenger Paid Fares": 1182817, - "Average Fare": 3.338367531257938 + "Average Fare": 3.338367531257938, + "Average Passengers": 0.9261442553162826 }, { "NTD ID": 20206, @@ -2594,7 +2801,8 @@ "All Fuels (Wh/pkm)": 115.31188615188925, "Unlinked Passenger Trips": 23791024, "Passenger Paid Fares": 39500416, - "Average Fare": 1.6603075176587607 + "Average Fare": 1.6603075176587607, + "Average Passengers": 13.918052459474785 }, { "NTD ID": 20217, @@ -2606,7 +2814,8 @@ "All Fuels (Wh/pkm)": 156.58302307336663, "Unlinked Passenger Trips": 793534, "Passenger Paid Fares": 24469848, - "Average Fare": 30.836546386166187 + "Average Fare": 30.836546386166187, + "Average Passengers": 21.6024346427991 }, { "NTD ID": 22930, @@ -2618,7 +2827,8 @@ "All Fuels (Wh/pkm)": 2162.661708781762, "Unlinked Passenger Trips": 5670849, "Passenger Paid Fares": 13882274, - "Average Fare": 2.448006286183956 + "Average Fare": 2.448006286183956, + "Average Passengers": 33.774689124966585 }, { "NTD ID": 30001, @@ -2630,7 +2840,8 @@ "All Fuels (Wh/pkm)": 2766.7021489027243, "Unlinked Passenger Trips": 19259, "Passenger Paid Fares": 51628, - "Average Fare": 2.68072070200945 + "Average Fare": 2.68072070200945, + "Average Passengers": 0.8850302505722785 }, { "NTD ID": 30001, @@ -2644,7 +2855,8 @@ "All Fuels (Wh/pkm)": 1252.343944967967, "Unlinked Passenger Trips": 1612942, "Passenger Paid Fares": 1509276, - "Average Fare": 0.935728625083853 + "Average Fare": 0.935728625083853, + "Average Passengers": 3.4152305846553817 }, { "NTD ID": 30002, @@ -2656,7 +2868,8 @@ "All Fuels (Wh/pkm)": 5857.104086017441, "Unlinked Passenger Trips": 35622, "Passenger Paid Fares": 194687, - "Average Fare": 5.4653584863286735 + "Average Fare": 5.4653584863286735, + "Average Passengers": 0.5184384476562955 }, { "NTD ID": 30002, @@ -2668,7 +2881,8 @@ "All Fuels (Wh/pkm)": 931.4517402540689, "Unlinked Passenger Trips": 917289, "Passenger Paid Fares": 1049642, - "Average Fare": 1.1442871330627533 + "Average Fare": 1.1442871330627533, + "Average Passengers": 5.4456838892372295 }, { "NTD ID": 30006, @@ -2682,7 +2896,8 @@ "All Fuels (Wh/pkm)": 777.8993863064055, "Unlinked Passenger Trips": 309927, "Passenger Paid Fares": 686192, - "Average Fare": 2.214043952285538 + "Average Fare": 2.214043952285538, + "Average Passengers": 1.0 }, { "NTD ID": 30006, @@ -2696,7 +2911,8 @@ "All Fuels (Wh/pkm)": 338.5499595888691, "Unlinked Passenger Trips": 6635010, "Passenger Paid Fares": 6696543, - "Average Fare": 1.0092739875297851 + "Average Fare": 1.0092739875297851, + "Average Passengers": 7.041703957597215 }, { "NTD ID": 30006, @@ -2708,7 +2924,8 @@ "All Fuels (Wh/pkm)": 142.5661282808043, "Unlinked Passenger Trips": 1951376, "Passenger Paid Fares": 713596, - "Average Fare": 0.36568862177253386 + "Average Fare": 0.36568862177253386, + "Average Passengers": 10.979780934961884 }, { "NTD ID": 30006, @@ -2720,7 +2937,8 @@ "All Fuels (Wh/pkm)": 194.39535689842683, "Unlinked Passenger Trips": 387207, "Passenger Paid Fares": 2457666, - "Average Fare": 6.3471631452943775 + "Average Fare": 6.3471631452943775, + "Average Passengers": 6.215186710793004 }, { "NTD ID": 30007, @@ -2732,7 +2950,8 @@ "All Fuels (Wh/pkm)": 4722.94144198915, "Unlinked Passenger Trips": 75452, "Passenger Paid Fares": 237065, - "Average Fare": 3.1419312940677515 + "Average Fare": 3.1419312940677515, + "Average Passengers": 0.9806838162379274 }, { "NTD ID": 30007, @@ -2746,7 +2965,8 @@ "All Fuels (Wh/pkm)": 1055.1537572324585, "Unlinked Passenger Trips": 1895355, "Passenger Paid Fares": 1727137, - "Average Fare": 0.9112472333678915 + "Average Fare": 0.9112472333678915, + "Average Passengers": 5.390824155519257 }, { "NTD ID": 30008, @@ -2758,7 +2978,8 @@ "All Fuels (Wh/pkm)": 5140.302797378358, 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{ "NTD ID": 30011, @@ -2810,7 +3034,8 @@ "All Fuels (Wh/pkm)": 1308.4009995629485, "Unlinked Passenger Trips": 556182, "Passenger Paid Fares": 305624, - "Average Fare": 0.5495035797634588 + "Average Fare": 0.5495035797634588, + "Average Passengers": 2.7153128917893405 }, { "NTD ID": 30012, @@ -2826,7 +3051,8 @@ "All Fuels (Wh/pkm)": 347.2094726739143, "Unlinked Passenger Trips": 60678, "Passenger Paid Fares": 863286, - "Average Fare": 14.227331157915554 + "Average Fare": 14.227331157915554, + "Average Passengers": 1.3203444274049818 }, { "NTD ID": 30012, @@ -2838,7 +3064,8 @@ "All Fuels (Wh/pkm)": 5407.932839277733, "Unlinked Passenger Trips": 65804, "Passenger Paid Fares": 122720, - "Average Fare": 1.8649322229651693 + "Average Fare": 1.8649322229651693, + "Average Passengers": 4.250379939209727 }, { "NTD ID": 30013, @@ -2853,7 +3080,8 @@ "All Fuels (Wh/pkm)": 936.1350616358725, "Unlinked Passenger Trips": 188894, "Passenger Paid Fares": 132702, - "Average Fare": 0.7025209906084894 + "Average Fare": 0.7025209906084894, + "Average Passengers": 1.3678541058247848 }, { "NTD ID": 30014, @@ -2865,7 +3093,8 @@ "All Fuels (Wh/pkm)": 2856.3200024242706, "Unlinked Passenger Trips": 218046, "Passenger Paid Fares": 216595, - "Average Fare": 0.9933454408702751 + "Average Fare": 0.9933454408702751, + "Average Passengers": 1.119483754420473 }, { "NTD ID": 30014, @@ -2877,7 +3106,8 @@ "All Fuels (Wh/pkm)": 1483.724204969073, "Unlinked Passenger Trips": 1985147, "Passenger Paid Fares": 2444560, - "Average Fare": 1.2314251790925306 + "Average Fare": 1.2314251790925306, + "Average Passengers": 4.032236878791071 }, { "NTD ID": 30015, @@ -2889,7 +3119,8 @@ "All Fuels (Wh/pkm)": 2087.905618603113, "Unlinked Passenger Trips": 151481, "Passenger Paid Fares": 305207, - "Average Fare": 2.0148203405047496 + "Average Fare": 2.0148203405047496, + "Average Passengers": 1.2166062591170654 }, { "NTD ID": 30015, @@ -2899,7 +3130,8 @@ "CNG (Wh/pkm)": 213.58456168924377, "Unlinked Passenger Trips": 1135601, "Passenger Paid Fares": 1267431, - "Average Fare": 1.116088309186061 + "Average Fare": 1.116088309186061, + "Average Passengers": 4.020710866835314 }, { "NTD ID": 30019, @@ -2911,7 +3143,8 @@ "All Fuels (Wh/pkm)": 71.83585587155373, "Unlinked Passenger Trips": 34730053, "Passenger Paid Fares": 141365210, - "Average Fare": 4.070400065326707 + "Average Fare": 4.070400065326707, + "Average Passengers": 86.59818862171069 }, { "NTD ID": 30019, @@ -2923,7 +3156,8 @@ "All Fuels (Wh/pkm)": 3664.55179558408, "Unlinked Passenger Trips": 1513129, "Passenger Paid Fares": 5872858, - "Average Fare": 3.881267228372465 + "Average Fare": 3.881267228372465, + "Average Passengers": 0.867487567637723 }, { "NTD ID": 30019, @@ -2935,7 +3169,8 @@ "All Fuels (Wh/pkm)": 41.81615730411083, "Unlinked Passenger Trips": 90754189, "Passenger Paid Fares": 113235243, - "Average Fare": 1.2477136785388496 + "Average Fare": 1.2477136785388496, + "Average Passengers": 120.339979072743 }, { "NTD ID": 30019, @@ 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"Average Fare": 0.9766205775840047, + "Average Passengers": 1.141406724082996 }, { "NTD ID": 30022, @@ -2997,7 +3236,8 @@ "All Fuels (Wh/pkm)": 2287.572592597741, "Unlinked Passenger Trips": 430979, "Passenger Paid Fares": 386921, - "Average Fare": 0.8977722812480422 + "Average Fare": 0.8977722812480422, + "Average Passengers": 4.819425837320574 }, { "NTD ID": 30022, @@ -3005,7 +3245,8 @@ "UACE Code": "69697", "Unlinked Passenger Trips": 7162790, "Passenger Paid Fares": 6398343, - "Average Fare": 0.8932752460982383 + "Average Fare": 0.8932752460982383, + "Average Passengers": 18.712565351083736 }, { "NTD ID": 30022, @@ -3017,7 +3258,8 @@ "All Fuels (Wh/pkm)": 699.4755690738356, "Unlinked Passenger Trips": 55016645, "Passenger Paid Fares": 60285855, - "Average Fare": 1.0957748332345603 + "Average Fare": 1.0957748332345603, + "Average Passengers": 8.547682074795855 }, { "NTD ID": 30023, @@ -3029,7 +3271,8 @@ "All Fuels (Wh/pkm)": 1809.9818871030452, "Unlinked Passenger Trips": 81146, "Passenger Paid Fares": 114818, - "Average Fare": 1.4149557587558228 + "Average Fare": 1.4149557587558228, + "Average Passengers": 1.599582575595091 }, { "NTD ID": 30023, @@ -3045,7 +3288,8 @@ "All Fuels (Wh/pkm)": 319.3447494325414, "Unlinked Passenger Trips": 760209, "Passenger Paid Fares": 1321470, - "Average Fare": 1.7382982837614394 + "Average Fare": 1.7382982837614394, + "Average Passengers": 8.91858563957675 }, { "NTD ID": 30025, @@ -3053,7 +3297,8 @@ "UACE Code": "80227", "Unlinked Passenger Trips": 144854, "Passenger Paid Fares": 67632, - "Average Fare": 0.46689770389495633 + "Average Fare": 0.46689770389495633, + "Average Passengers": 1.1623749133003982 }, { "NTD ID": 30025, @@ -3069,7 +3314,8 @@ "All Fuels (Wh/pkm)": 881.9362110075486, "Unlinked Passenger Trips": 1013542, "Passenger Paid Fares": 1060355, - "Average Fare": 1.0461875284891993 + "Average Fare": 1.0461875284891993, + "Average Passengers": 3.8722654409798705 }, { "NTD ID": 30026, @@ -3081,7 +3327,8 @@ "All Fuels (Wh/pkm)": 1823.5181004069807, "Unlinked Passenger Trips": 4155, "Passenger Paid Fares": 16620, - "Average Fare": 4.0 + "Average Fare": 4.0, + "Average Passengers": 0.9996303272484025 }, { "NTD ID": 30026, @@ -3097,7 +3344,8 @@ "All Fuels (Wh/pkm)": 373.27691787729384, "Unlinked Passenger Trips": 1310695, "Passenger Paid Fares": 673236, - "Average Fare": 0.5136481027241273 + "Average Fare": 0.5136481027241273, + "Average Passengers": 7.148525011718425 }, { "NTD ID": 30027, @@ -3111,7 +3359,8 @@ "All Fuels (Wh/pkm)": 919.5833290879157, "Unlinked Passenger Trips": 74723, "Passenger Paid Fares": 230741, - "Average Fare": 3.0879515008765708 + "Average Fare": 3.0879515008765708, + "Average Passengers": 4.289144405460799 }, { "NTD ID": 30027, @@ -3125,7 +3374,8 @@ "All Fuels (Wh/pkm)": 2444.306304621363, "Unlinked Passenger Trips": 645168, "Passenger Paid Fares": 568896, - "Average Fare": 0.8817796294918533 + "Average Fare": 0.8817796294918533, + "Average Passengers": 1.0980637040019743 }, { "NTD ID": 30027, @@ -3141,7 +3391,8 @@ "All Fuels (Wh/pkm)": 883.1080338380227, "Unlinked Passenger Trips": 1510854, "Passenger Paid Fares": 1239961, - "Average Fare": 0.8207020665133758 + "Average Fare": 0.8207020665133758, + "Average Passengers": 4.166159556317033 }, { "NTD ID": 30030, @@ -3153,7 +3404,8 @@ "All Fuels (Wh/pkm)": 2011.4110736901184, "Unlinked Passenger Trips": 2212686, "Passenger Paid Fares": 8058636, - "Average Fare": 3.642015179740822 + "Average Fare": 3.642015179740822, + "Average Passengers": 0.9371662719701744 }, { "NTD ID": 30030, @@ -3165,7 +3417,8 @@ "All Fuels (Wh/pkm)": 40.79658329407158, "Unlinked Passenger Trips": 228974810, "Passenger Paid Fares": 533518013, - "Average Fare": 2.330029285754184 + "Average Fare": 2.330029285754184, + "Average Passengers": 103.18820575498559 }, { "NTD ID": 30030, @@ -3181,7 +3434,8 @@ "All Fuels (Wh/pkm)": 598.7496015183883, "Unlinked Passenger Trips": 123333115, "Passenger Paid Fares": 124011141, - "Average Fare": 1.0054975178402006 + "Average Fare": 1.0054975178402006, + "Average Passengers": 7.54350360084661 }, { "NTD ID": 30034, @@ -3189,7 +3443,8 @@ "UACE Code": "04843", "Unlinked Passenger Trips": 3623587, "Passenger Paid Fares": 18889000, - "Average Fare": 5.21279053048816 + "Average Fare": 5.21279053048816, + "Average Passengers": 7.27660985033679 }, { "NTD ID": 30034, @@ -3203,7 +3458,8 @@ "All Fuels (Wh/pkm)": 550.8613557979025, "Unlinked Passenger Trips": 9190885, "Passenger Paid Fares": 50023000, - "Average Fare": 5.44267499810954 + "Average Fare": 5.44267499810954, + "Average Passengers": 211.544580108878 }, { "NTD ID": 30034, @@ -3215,7 +3471,8 @@ "All Fuels (Wh/pkm)": 2768.646324599509, "Unlinked Passenger Trips": 2152642, "Passenger Paid Fares": 2414676, - "Average Fare": 1.1217266967754043 + "Average Fare": 1.1217266967754043, + "Average Passengers": 0.9860077249719403 }, { "NTD ID": 30034, @@ -3223,7 +3480,8 @@ "UACE Code": "04843", "Unlinked Passenger Trips": 7275335, "Passenger Paid Fares": 10449300, - "Average Fare": 1.4362637596756713 + "Average Fare": 1.4362637596756713, + "Average Passengers": 30.225340273782862 }, { "NTD ID": 30034, @@ -3235,7 +3493,8 @@ "All Fuels (Wh/pkm)": 234.052332464275, "Unlinked Passenger Trips": 6966072, "Passenger Paid Fares": 6146500, - "Average Fare": 0.8823480434884968 + "Average Fare": 0.8823480434884968, + "Average Passengers": 25.927543838286226 }, { "NTD ID": 30034, @@ -3247,7 +3506,8 @@ "All Fuels (Wh/pkm)": 510.6326870325313, "Unlinked Passenger Trips": 63988571, "Passenger Paid Fares": 44870600, - "Average Fare": 0.7012283490437691 + "Average Fare": 0.7012283490437691, + "Average Passengers": 10.344304431139216 }, { "NTD ID": 30035, @@ -3255,7 +3515,8 @@ "UACE Code": "94726", "Unlinked Passenger Trips": 3944, "Passenger Paid Fares": 10616, - "Average Fare": 2.691683569979716 + "Average Fare": 2.691683569979716, + "Average Passengers": 0.46701484993621983 }, { "NTD ID": 30035, @@ -3265,7 +3526,8 @@ "Gasoline (Wh/pkm)": 1505.570331275777, "Unlinked Passenger Trips": 375513, "Passenger Paid Fares": 395699, - "Average Fare": 1.053755795405219 + "Average Fare": 1.053755795405219, + "Average Passengers": 1.7490203167952532 }, { "NTD ID": 30044, @@ -3279,7 +3541,8 @@ "All Fuels (Wh/pkm)": 869.7486760765469, "Unlinked Passenger Trips": 406744, "Passenger Paid Fares": 1002392, - "Average Fare": 2.4644297150050156 + "Average Fare": 2.4644297150050156, + "Average Passengers": 3.819697990471796 }, { "NTD ID": 30045, @@ -3287,7 +3550,8 @@ "UACE Code": "15724", "Unlinked Passenger Trips": 39953, "Passenger Paid Fares": 130497, - "Average Fare": 3.2662628588591596 + "Average Fare": 3.2662628588591596, + "Average Passengers": 3.850123870627269 }, { "NTD ID": 30045, @@ -3299,7 +3563,8 @@ "All Fuels (Wh/pkm)": 1915.6371358823785, "Unlinked Passenger Trips": 276594, "Passenger Paid Fares": 857760, - "Average Fare": 3.1011518688040955 + "Average Fare": 3.1011518688040955, + "Average Passengers": 1.3251844317122359 }, { "NTD ID": 30048, @@ -3311,7 +3576,8 @@ "All Fuels (Wh/pkm)": 2614.9925387691283, "Unlinked Passenger Trips": 83562, "Passenger Paid Fares": 203530, - "Average Fare": 2.435676503673919 + "Average Fare": 2.435676503673919, + "Average Passengers": 0.8056544631965783 }, { "NTD ID": 30048, @@ -3321,7 +3587,8 @@ "Electric (Wh/pkm)": 246.75282788484802, "Unlinked Passenger Trips": 652106, "Passenger Paid Fares": 548100, - "Average Fare": 0.8405075248502544 + "Average Fare": 0.8405075248502544, + "Average Passengers": 2.2871443073919377 }, { "NTD ID": 30051, @@ -3335,7 +3602,8 @@ "All Fuels (Wh/pkm)": 809.4227865048639, "Unlinked Passenger Trips": 20596520, "Passenger Paid Fares": 20508757, - "Average Fare": 0.9957389403646829 + "Average Fare": 0.9957389403646829, + "Average Passengers": 5.152553560505757 }, { "NTD ID": 30054, @@ -3347,7 +3615,8 @@ "All Fuels (Wh/pkm)": 4003.701146424351, "Unlinked Passenger Trips": 30126, "Passenger Paid Fares": 96989, - "Average Fare": 3.2194449976764257 + "Average Fare": 3.2194449976764257, + "Average Passengers": 0.6835391970307216 }, { "NTD ID": 30054, @@ -3359,7 +3628,8 @@ "All Fuels (Wh/pkm)": 176.33546912169024, "Unlinked Passenger Trips": 6413232, "Passenger Paid Fares": 2313877, - "Average Fare": 0.36079733276450937 + "Average Fare": 0.36079733276450937, + "Average Passengers": 9.220011934529516 }, { "NTD ID": 30054, @@ -3373,7 +3643,8 @@ "All Fuels (Wh/pkm)": 192.88844747091133, "Unlinked Passenger Trips": 159394, "Passenger Paid Fares": 333348, - "Average Fare": 2.091345972872254 + "Average Fare": 2.091345972872254, + "Average Passengers": 7.634508153480304 }, { "NTD ID": 30058, @@ -3385,7 +3656,8 @@ "All Fuels (Wh/pkm)": 1031.4540936027852, "Unlinked Passenger Trips": 601813, "Passenger Paid Fares": 377401, - "Average Fare": 0.6271067590763244 + "Average Fare": 0.6271067590763244, + "Average Passengers": 4.537479343713928 }, { "NTD ID": 30068, @@ -3397,7 +3669,8 @@ "All Fuels (Wh/pkm)": 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3.3709985265472397 }, { "NTD ID": 30072, @@ -3443,7 +3719,8 @@ "All Fuels (Wh/pkm)": 2825.6295577201836, "Unlinked Passenger Trips": 42661, "Passenger Paid Fares": 66039, - "Average Fare": 1.547994655540189 + "Average Fare": 1.547994655540189, + "Average Passengers": 0.697280102312348 }, { "NTD ID": 30072, @@ -3459,7 +3736,8 @@ "All Fuels (Wh/pkm)": 1350.7684865066328, "Unlinked Passenger Trips": 551192, "Passenger Paid Fares": 564693, - "Average Fare": 1.0244941871434998 + "Average Fare": 1.0244941871434998, + "Average Passengers": 3.4568796690832237 }, { "NTD ID": 30073, @@ -3471,7 +3749,8 @@ "All Fuels (Wh/pkm)": 289.060318788585, "Unlinked Passenger Trips": 4408114, "Passenger Paid Fares": 41990599, - "Average Fare": 9.525751602612818 + "Average Fare": 9.525751602612818, + "Average Passengers": 350.2570640883663 }, { "NTD ID": 30075, @@ -3484,7 +3763,8 @@ "All Fuels (Wh/pkm)": 2423.1851668982117, "Unlinked Passenger Trips": 946607, "Passenger Paid Fares": 2740276, - "Average Fare": 2.894840202956454 + "Average Fare": 2.894840202956454, + "Average Passengers": 1.2385604711535847 }, { "NTD ID": 30075, @@ -3498,7 +3778,8 @@ "All Fuels (Wh/pkm)": 1405.5617843776063, "Unlinked Passenger Trips": 7162651, "Passenger Paid Fares": 7769423, - "Average Fare": 1.084713327509605 + "Average Fare": 1.084713327509605, + "Average Passengers": 3.645372497560011 }, { "NTD ID": 30076, @@ -3510,7 +3791,8 @@ "All Fuels (Wh/pkm)": 3870.6645133591655, "Unlinked Passenger Trips": 11678, "Passenger Paid Fares": 35033, - "Average Fare": 2.999914368898784 + "Average Fare": 2.999914368898784, + "Average Passengers": 0.7488216333220921 }, { "NTD ID": 30076, @@ -3526,7 +3808,8 @@ "All Fuels (Wh/pkm)": 925.2363011343563, "Unlinked Passenger Trips": 2107764, "Passenger Paid Fares": 618120, - "Average Fare": 0.29325863806384395 + "Average Fare": 0.29325863806384395, + "Average Passengers": 4.136323095908114 }, { "NTD ID": 30078, @@ -3538,7 +3821,8 @@ "All Fuels (Wh/pkm)": 230.68537583753132, "Unlinked Passenger Trips": 153697, "Passenger Paid Fares": 399819, - "Average Fare": 2.6013455044665803 + "Average Fare": 2.6013455044665803, + "Average Passengers": 6.722788654149558 }, { "NTD ID": 30080, @@ -3550,7 +3834,8 @@ "All Fuels (Wh/pkm)": 1760.9980690029076, "Unlinked Passenger Trips": 41240, "Passenger Paid Fares": 160121, - "Average Fare": 3.882662463627546 + "Average Fare": 3.882662463627546, + "Average Passengers": 0.88389083543195 }, { "NTD ID": 30080, @@ -3562,7 +3847,8 @@ "All Fuels (Wh/pkm)": 686.7106689441642, "Unlinked Passenger Trips": 2829200, "Passenger Paid Fares": 3659929, - "Average Fare": 1.293626820302559 + "Average Fare": 1.293626820302559, + "Average Passengers": 2.909253166546617 }, { "NTD ID": 30081, @@ -3574,7 +3860,8 @@ "All Fuels (Wh/pkm)": 427.46917070549773, "Unlinked Passenger Trips": 1318377, "Passenger Paid Fares": 9395270, - "Average Fare": 7.126391009551896 + "Average Fare": 7.126391009551896, + "Average Passengers": 11.283145936817347 }, { "NTD ID": 30081, @@ -3586,7 +3873,8 @@ "All Fuels (Wh/pkm)": 4592.639746902704, "Unlinked Passenger Trips": 13711, "Passenger Paid Fares": 25534, - "Average Fare": 1.8623003427904603 + "Average Fare": 1.8623003427904603, + "Average Passengers": 0.5461016853774513 }, { "NTD ID": 30081, @@ -3598,7 +3886,8 @@ "All Fuels (Wh/pkm)": 2082.3226324588113, "Unlinked Passenger Trips": 376033, "Passenger Paid Fares": 197254, - "Average Fare": 0.5245656631199921 + "Average Fare": 0.5245656631199921, + "Average Passengers": 1.6284688241059735 }, { "NTD ID": 30083, @@ -3610,7 +3899,8 @@ "All Fuels (Wh/pkm)": 3125.2229074316538, "Unlinked Passenger Trips": 326443, "Passenger Paid Fares": 965108, - "Average Fare": 2.9564364988681024 + "Average Fare": 2.9564364988681024, + "Average Passengers": 0.9119664991586934 }, { "NTD ID": 30083, @@ -3622,7 +3912,8 @@ "All Fuels (Wh/pkm)": 3797.8991123683804, "Unlinked Passenger Trips": 301321, "Passenger Paid Fares": 321587, - "Average Fare": 1.067257177561471 + "Average Fare": 1.067257177561471, + "Average Passengers": 11.435731824490231 }, { "NTD ID": 30083, @@ -3630,7 +3921,8 @@ "UACE Code": "90892", "Unlinked Passenger Trips": 1428956, "Passenger Paid Fares": 1581495, - "Average Fare": 1.1067485632867633 + "Average Fare": 1.1067485632867633, + "Average Passengers": 12.434059370019565 }, { "NTD ID": 30083, @@ -3642,7 +3934,8 @@ "All Fuels (Wh/pkm)": 886.6599111762332, "Unlinked Passenger Trips": 11102350, "Passenger Paid Fares": 12271641, - "Average Fare": 1.1053192342161795 + "Average Fare": 1.1053192342161795, + "Average Passengers": 5.7108401792933945 }, { "NTD ID": 30083, @@ -3654,7 +3947,8 @@ "All Fuels (Wh/pkm)": 220.8089942516762, "Unlinked Passenger Trips": 126761, "Passenger Paid Fares": 436601, - "Average Fare": 3.44428491412974 + "Average Fare": 3.44428491412974, + "Average Passengers": 5.968853068708629 }, { "NTD ID": 30085, @@ -3667,7 +3961,8 @@ "Gasoline (Wh/pkm)": 2569.895036148415, "Diesel (Wh/pkm)": 2215.7792901739867, "All Fuels (Wh/pkm)": 2356.291798012877, - "Unlinked Passenger Trips": 74249 + "Unlinked Passenger Trips": 74249, + "Average Passengers": 1.1782027348672237 }, { "NTD ID": 30085, @@ -3679,7 +3974,8 @@ "All Fuels (Wh/pkm)": 1078.873304669126, "Unlinked Passenger Trips": 2570692, "Passenger Paid Fares": 1290655, - "Average Fare": 0.5020652026769445 + "Average Fare": 0.5020652026769445, + "Average Passengers": 5.772771930882139 }, { "NTD ID": 30088, @@ -3691,7 +3987,8 @@ "All Fuels (Wh/pkm)": 2729.7535547535676, "Unlinked Passenger Trips": 44012, "Passenger Paid Fares": 28990, - "Average Fare": 0.6586839952740162 + "Average Fare": 0.6586839952740162, + "Average Passengers": 0.9090111661648611 }, { "NTD ID": 30088, @@ -3703,7 +4000,8 @@ "All Fuels (Wh/pkm)": 754.0701679229145, "Unlinked Passenger Trips": 762448, "Passenger Paid Fares": 402711, - "Average Fare": 0.5281815940234613 + "Average Fare": 0.5281815940234613, + "Average Passengers": 4.004329296556814 }, { "NTD ID": 30091, @@ -3717,7 +4015,8 @@ "All Fuels (Wh/pkm)": 865.687707725245, "Unlinked Passenger Trips": 4630600, "Passenger Paid Fares": 86254, - "Average Fare": 0.018626959789228178 + "Average Fare": 0.018626959789228178, + "Average Passengers": 7.25272358509674 }, { "NTD ID": 30094, @@ -3729,7 +4028,8 @@ "All Fuels (Wh/pkm)": 4726.939611538582, "Unlinked Passenger Trips": 32311, "Passenger Paid Fares": 42609, - "Average Fare": 1.3187149887035374 + "Average Fare": 1.3187149887035374, + "Average Passengers": 0.7360381390297397 }, { "NTD ID": 30094, @@ -3741,7 +4041,8 @@ "All Fuels (Wh/pkm)": 950.9055377953298, "Unlinked Passenger Trips": 2088147, "Passenger Paid Fares": 122088, - "Average Fare": 0.058467148146179364 + "Average Fare": 0.058467148146179364, + "Average Passengers": 6.837846593705916 }, { "NTD ID": 30095, @@ -3753,7 +4054,8 @@ "All Fuels (Wh/pkm)": 2156.602565631347, "Unlinked Passenger Trips": 50066, "Passenger Paid Fares": 79390, - "Average Fare": 1.5857068669356449 + "Average Fare": 1.5857068669356449, + "Average Passengers": 1.3566622653997227 }, { "NTD ID": 30095, @@ -3767,7 +4069,8 @@ "All Fuels (Wh/pkm)": 1533.4314736512142, "Unlinked Passenger Trips": 313392, "Passenger Paid Fares": 332233, - "Average Fare": 1.0601195946290907 + "Average Fare": 1.0601195946290907, + "Average Passengers": 3.17604182133374 }, { "NTD ID": 30096, @@ -3778,7 +4081,8 @@ "All Fuels (Wh/pkm)": 2337.1791175702106, "Unlinked Passenger Trips": 63716, "Passenger Paid Fares": 212951, - "Average Fare": 3.342190344654404 + "Average Fare": 3.342190344654404, + "Average Passengers": 0.9241990906550214 }, { "NTD ID": 30096, @@ -3791,7 +4095,8 @@ "All Fuels (Wh/pkm)": 535.2884596446356, "Unlinked Passenger Trips": 261380, "Passenger Paid Fares": 260273, - "Average Fare": 0.9957647869002985 + "Average Fare": 0.9957647869002985, + "Average Passengers": 5.216582876822301 }, { "NTD ID": 30107, @@ -3803,7 +4108,8 @@ "All Fuels (Wh/pkm)": 650.8619256783168, "Unlinked Passenger Trips": 1469292, "Passenger Paid Fares": 6989809, - "Average Fare": 4.757263362217993 + "Average Fare": 4.757263362217993, + "Average Passengers": 5.805850753726992 }, { "NTD ID": 30111, @@ -3815,7 +4121,8 @@ "All Fuels (Wh/pkm)": 3040.6159979056024, "Unlinked Passenger Trips": 203835, "Passenger Paid Fares": 214696, - "Average Fare": 1.0532832928594207 + "Average Fare": 1.0532832928594207, + "Average Passengers": 0.8891625253728823 }, { "NTD ID": 30111, @@ -3829,7 +4136,8 @@ "All Fuels (Wh/pkm)": 1141.1081196450014, "Unlinked Passenger Trips": 102068, "Passenger Paid Fares": 158073, - "Average Fare": 1.5487028255672688 + "Average Fare": 1.5487028255672688, + "Average Passengers": 3.519631434663417 }, { "NTD ID": 30112, @@ -3841,7 +4149,8 @@ "Diesel (Wh/pkm)": 1443.1762464316048, "Electric (Wh/pkm)": 641.9692960209435, "All Fuels (Wh/pkm)": 1333.6430843204746, - "Unlinked Passenger Trips": 5465393 + "Unlinked Passenger Trips": 5465393, + "Average Passengers": 4.383017355591697 }, { "NTD ID": 30112, @@ -3851,7 +4160,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1079.423777791859, "All Fuels (Wh/pkm)": 1079.423777791859, - "Unlinked Passenger Trips": 1185571 + "Unlinked Passenger Trips": 1185571, + "Average Passengers": 7.442565847429546 }, { "NTD ID": 30129, @@ -3861,7 +4171,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2786.0303961111345, "All Fuels (Wh/pkm)": 2786.0303961111345, - "Unlinked Passenger Trips": 124255 + "Unlinked Passenger Trips": 124255, + "Average Passengers": 1.040960150860127 }, { "NTD ID": 30129, @@ -3873,7 +4184,8 @@ "All Fuels (Wh/pkm)": 1211.5756049490353, "Unlinked Passenger Trips": 170922, "Passenger Paid Fares": 224045, - "Average Fare": 1.310802588315138 + "Average Fare": 1.310802588315138, + "Average Passengers": 4.120498484338161 }, { "NTD ID": 30201, @@ -3883,7 +4195,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1411.2322120531428, "All Fuels (Wh/pkm)": 1411.2322120531428, - "Unlinked Passenger Trips": 332561 + "Unlinked Passenger Trips": 332561, + "Average Passengers": 5.362638191902803 }, { "NTD ID": 30201, @@ -3893,7 +4206,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 922.5597481445201, "All Fuels (Wh/pkm)": 922.5597481445201, - "Unlinked Passenger Trips": 1400238 + "Unlinked Passenger Trips": 1400238, + "Average Passengers": 7.4367143565341225 }, { "NTD ID": 30202, @@ -3905,7 +4219,8 @@ "All Fuels (Wh/pkm)": 2275.1075234809464, "Unlinked Passenger Trips": 517941, "Passenger Paid Fares": 532657, - "Average Fare": 1.0284125025823405 + "Average Fare": 1.0284125025823405, + "Average Passengers": 1.3562754314057444 }, { "NTD ID": 30202, @@ -3917,7 +4232,8 @@ "All Fuels (Wh/pkm)": 775.4532412400745, "Unlinked Passenger Trips": 4534323, "Passenger Paid Fares": 4751652, - "Average Fare": 1.0479297570993509 + "Average Fare": 1.0479297570993509, + "Average Passengers": 6.09609982983689 }, { "NTD ID": 40001, @@ -3929,7 +4245,8 @@ "All Fuels (Wh/pkm)": 3712.2002469609865, "Unlinked Passenger Trips": 56064, "Passenger Paid Fares": 135474, - "Average Fare": 2.4164169520547945 + "Average Fare": 2.4164169520547945, + "Average Passengers": 0.9704169551940608 }, { "NTD ID": 40001, @@ -3941,7 +4258,8 @@ "All Fuels (Wh/pkm)": 138.27056766575842, "Unlinked Passenger Trips": 491439, "Passenger Paid Fares": 3021449, - "Average Fare": 6.148166913899792 + "Average Fare": 6.148166913899792, + "Average Passengers": 22.024588455928317 }, { "NTD ID": 40001, @@ -3957,7 +4275,8 @@ "All Fuels (Wh/pkm)": 1643.5065141553882, "Unlinked Passenger Trips": 2095796, "Passenger Paid Fares": 1814660, - "Average Fare": 0.8658571731218114 + "Average Fare": 0.8658571731218114, + "Average Passengers": 3.034590665125521 }, { "NTD ID": 40002, @@ -3969,7 +4288,8 @@ "All Fuels (Wh/pkm)": 3748.7304195185466, "Unlinked Passenger Trips": 67311, "Passenger Paid Fares": 174073, - "Average Fare": 2.5861003402118525 + "Average Fare": 2.5861003402118525, + "Average Passengers": 0.943408711381883 }, { "NTD ID": 40002, @@ -3981,7 +4301,8 @@ "All Fuels (Wh/pkm)": 2079.2108037227954, "Unlinked Passenger Trips": 2685291, "Passenger Paid Fares": 1732725, - "Average Fare": 0.6452652617537541 + "Average Fare": 0.6452652617537541, + "Average Passengers": 2.6631079092531937 }, { "NTD ID": 40003, @@ -3995,7 +4316,8 @@ "All Fuels (Wh/pkm)": 2953.0725659704076, "Unlinked Passenger Trips": 192927, "Passenger Paid Fares": 473119, - "Average Fare": 2.452321344342679 + "Average Fare": 2.452321344342679, + "Average Passengers": 1.14215117400557 }, { "NTD ID": 40003, @@ -4009,7 +4331,8 @@ "All Fuels (Wh/pkm)": 935.6140132444017, "Unlinked Passenger Trips": 5846425, "Passenger Paid Fares": 5437865, - "Average Fare": 0.9301179780806219 + "Average Fare": 0.9301179780806219, + "Average Passengers": 5.747235693432926 }, { "NTD ID": 40003, @@ -4021,7 +4344,8 @@ "All Fuels (Wh/pkm)": 1366.9648217026368, "Unlinked Passenger Trips": 370975, "Passenger Paid Fares": 213214, - "Average Fare": 0.5747395377046971 + "Average Fare": 0.5747395377046971, + "Average Passengers": 7.348219654494337 }, { "NTD ID": 40004, @@ -4035,7 +4359,8 @@ "All Fuels (Wh/pkm)": 984.1051170755009, "Unlinked Passenger Trips": 305979, "Passenger Paid Fares": 849915, - "Average Fare": 2.7776906258272627 + "Average Fare": 2.7776906258272627, + "Average Passengers": 1.1468125705977574 }, { "NTD ID": 40004, @@ -4043,7 +4368,8 @@ "UACE Code": "61273", "Unlinked Passenger Trips": 9285398, "Passenger Paid Fares": 4791799, - "Average Fare": 0.5160574700190558 + "Average Fare": 0.5160574700190558, + "Average Passengers": 5.639117917881695 }, { "NTD ID": 40005, @@ -4057,7 +4383,8 @@ "All Fuels (Wh/pkm)": 749.753509302917, "Unlinked Passenger Trips": 1978720, "Passenger Paid Fares": 509193, - "Average Fare": 0.257334539500283 + "Average Fare": 0.257334539500283, + "Average Passengers": 5.201425479500567 }, { "NTD ID": 40006, @@ -4069,7 +4396,8 @@ "All Fuels (Wh/pkm)": 3126.8627169925344, "Unlinked Passenger Trips": 59594, "Passenger Paid Fares": 68858, - "Average Fare": 1.1554518911299796 + "Average Fare": 1.1554518911299796, + "Average Passengers": 0.8491095067360955 }, { "NTD ID": 40006, @@ -4083,7 +4411,8 @@ "All Fuels (Wh/pkm)": 1302.4176845389757, "Unlinked Passenger Trips": 1194745, "Passenger Paid Fares": 1620427, - "Average Fare": 1.3562952763978924 + "Average Fare": 1.3562952763978924, + "Average Passengers": 2.7904448529259214 }, { "NTD ID": 40006, @@ -4093,7 +4422,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 210.23760591979433, "All Fuels (Wh/pkm)": 210.23760591979433, - "Unlinked Passenger Trips": 4392 + "Unlinked Passenger Trips": 4392, + "Average Passengers": 4.709668273320102 }, { "NTD ID": 40007, @@ -4107,7 +4437,8 @@ "All Fuels (Wh/pkm)": 981.8699134526946, "Unlinked Passenger Trips": 5271428, "Passenger Paid Fares": 2765115, - "Average Fare": 0.5245476178371401 + "Average Fare": 0.5245476178371401, + "Average Passengers": 5.165872218698255 }, { "NTD ID": 40008, @@ -4119,7 +4450,8 @@ "All Fuels (Wh/pkm)": 223.30700578376218, "Unlinked Passenger Trips": 691155, "Passenger Paid Fares": 2432934, - "Average Fare": 3.5200989647763525 + "Average Fare": 3.5200989647763525, + "Average Passengers": 5.8260422328036725 }, { "NTD ID": 40008, @@ -4131,7 +4463,8 @@ "All Fuels (Wh/pkm)": 2058.133256952971, "Unlinked Passenger Trips": 256172, "Passenger Paid Fares": 774688, - "Average Fare": 3.0240931873897225 + "Average Fare": 3.0240931873897225, + "Average Passengers": 0.9781929134285001 }, { "NTD ID": 40008, @@ -4143,7 +4476,8 @@ "All Fuels (Wh/pkm)": 115.78896362401996, "Unlinked Passenger Trips": 8006852, "Passenger Paid Fares": 6276006, - "Average Fare": 0.7838294001187982 + "Average Fare": 0.7838294001187982, + "Average Passengers": 36.30273774344793 }, { "NTD ID": 40008, @@ -4155,7 +4489,8 @@ "All Fuels (Wh/pkm)": 908.2929007346836, "Unlinked Passenger Trips": 14932699, "Passenger Paid Fares": 14958354, - "Average Fare": 1.0017180417284244 + "Average Fare": 1.0017180417284244, + "Average Passengers": 5.564695193325142 }, { "NTD ID": 40008, @@ -4165,7 +4500,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 444.5604308687141, "All Fuels (Wh/pkm)": 444.5604308687141, - "Unlinked Passenger Trips": 279693 + "Unlinked Passenger Trips": 279693, + "Average Passengers": 6.670531953616557 }, { "NTD ID": 40008, @@ -4177,7 +4513,8 @@ "All Fuels (Wh/pkm)": 246.96204670358574, "Unlinked Passenger Trips": 112082, "Passenger Paid Fares": 389431, - "Average Fare": 3.4745186559840118 + "Average Fare": 3.4745186559840118, + "Average Passengers": 5.215075690280174 }, { "NTD ID": 40009, @@ -4188,7 +4525,8 @@ "All Fuels (Wh/pkm)": 3155.866526903999, "Unlinked Passenger Trips": 63423, "Passenger Paid Fares": 117062, - "Average Fare": 1.8457341973731927 + "Average Fare": 1.8457341973731927, + "Average Passengers": 1.0328364649344053 }, { "NTD ID": 40009, @@ -4203,7 +4541,8 @@ "All Fuels (Wh/pkm)": 1253.65443566358, "Unlinked Passenger Trips": 1389419, "Passenger Paid Fares": 965265, - "Average Fare": 0.6947256371188245 + "Average Fare": 0.6947256371188245, + "Average Passengers": 4.201978427729507 }, { "NTD ID": 40012, @@ -4215,7 +4554,8 @@ "All Fuels (Wh/pkm)": 2075.726620635782, "Unlinked Passenger Trips": 225086, "Passenger Paid Fares": 154945, - "Average Fare": 0.688381329802831 + "Average Fare": 0.688381329802831, + "Average Passengers": 1.5011776003695385 }, { "NTD ID": 40012, @@ -4229,7 +4569,8 @@ "All Fuels (Wh/pkm)": 1765.8017000672776, "Unlinked Passenger Trips": 2471647, "Passenger Paid Fares": 1357174, - "Average Fare": 0.5490970191131662 + "Average Fare": 0.5490970191131662, + "Average Passengers": 2.9972541470871312 }, { "NTD ID": 40014, @@ -4242,7 +4583,8 @@ "All Fuels (Wh/pkm)": 713.523725754705, "Unlinked Passenger Trips": 43990, "Passenger Paid Fares": 18403, - "Average Fare": 0.4183450784269152 + "Average Fare": 0.4183450784269152, + "Average Passengers": 1.3831853960810585 }, { "NTD ID": 40014, @@ -4254,7 +4596,8 @@ "All Fuels (Wh/pkm)": 256.6767010761888, "Unlinked Passenger Trips": 103552, "Passenger Paid Fares": 513018, - "Average Fare": 4.954206582200247 + "Average Fare": 4.954206582200247, + "Average Passengers": 6.793445294133936 }, { "NTD ID": 40015, @@ -4268,7 +4611,8 @@ "All Fuels (Wh/pkm)": 3095.8739110274187, "Unlinked Passenger Trips": 45288, "Passenger Paid Fares": 78148, - "Average Fare": 1.7255785196961668 + "Average Fare": 1.7255785196961668, + "Average Passengers": 0.8728955901055213 }, { "NTD ID": 40015, @@ -4276,7 +4620,8 @@ "UACE Code": "42211", "Unlinked Passenger Trips": 515344, "Passenger Paid Fares": 335175, - "Average Fare": 0.6503908069173212 + "Average Fare": 0.6503908069173212, + "Average Passengers": 1.1883262840192634 }, { "NTD ID": 40017, @@ -4294,7 +4639,8 @@ "All Fuels (Wh/pkm)": 541.8830981124402, "Unlinked Passenger Trips": 4364637, "Passenger Paid Fares": 1300692, - "Average Fare": 0.29800691328969625 + "Average Fare": 0.29800691328969625, + "Average Passengers": 9.502178527713541 }, { "NTD ID": 40017, @@ -4306,7 +4652,8 @@ "All Fuels (Wh/pkm)": 255.60276511356426, "Unlinked Passenger Trips": 20971, "Passenger Paid Fares": 80770, - "Average Fare": 3.8515092270278 + "Average Fare": 3.8515092270278, + "Average Passengers": 5.624831879220625 }, { "NTD ID": 40018, @@ -4321,7 +4668,8 @@ "All Fuels (Wh/pkm)": 858.462046073679, "Unlinked Passenger Trips": 366409, "Passenger Paid Fares": 841705, - "Average Fare": 2.2971733772914966 + "Average Fare": 2.2971733772914966, + "Average Passengers": 0.9253734970316323 }, { "NTD ID": 40018, @@ -4329,7 +4677,8 @@ "UACE Code": "51755", "Unlinked Passenger Trips": 10832836, "Passenger Paid Fares": 8927049, - "Average Fare": 0.8240731236030897 + "Average Fare": 0.8240731236030897, + "Average Passengers": 5.789470367781739 }, { "NTD ID": 40019, @@ -4343,7 +4692,8 @@ "All Fuels (Wh/pkm)": 3286.171199478822, "Unlinked Passenger Trips": 92377, "Passenger Paid Fares": 205503, - "Average Fare": 2.2246121870162487 + "Average Fare": 2.2246121870162487, + "Average Passengers": 0.7781166510872576 }, { "NTD ID": 40019, @@ -4355,7 +4705,8 @@ "All Fuels (Wh/pkm)": 919.5020763039644, "Unlinked Passenger Trips": 2910241, "Passenger Paid Fares": 3249375, - "Average Fare": 1.1165312426015577 + "Average Fare": 1.1165312426015577, + "Average Passengers": 5.517794857241022 }, { "NTD ID": 40021, @@ -4369,7 +4720,8 @@ "All Fuels (Wh/pkm)": 943.742799988295, "Unlinked Passenger Trips": 19286, "Passenger Paid Fares": 42116, - "Average Fare": 2.183760240589028 + "Average Fare": 2.183760240589028, + "Average Passengers": 0.9566844878767191 }, { "NTD ID": 40021, @@ -4383,7 +4735,8 @@ "All Fuels (Wh/pkm)": 490.6530438755067, "Unlinked Passenger Trips": 754471, "Passenger Paid Fares": 423196, - "Average Fare": 0.5609175170417419 + "Average Fare": 0.5609175170417419, + "Average Passengers": 6.285430652606213 }, { "NTD ID": 40022, @@ -4395,7 +4748,8 @@ "All Fuels (Wh/pkm)": 2562.8833750450326, "Unlinked Passenger Trips": 808882, "Passenger Paid Fares": 1193940, - "Average Fare": 1.4760372959220258 + "Average Fare": 1.4760372959220258, + "Average Passengers": 1.1530134310755853 }, { "NTD ID": 40022, @@ -4407,7 +4761,8 @@ "All Fuels (Wh/pkm)": 21.870466158776164, "Unlinked Passenger Trips": 65217325, "Passenger Paid Fares": 77048839, - "Average Fare": 1.1814167324403446 + "Average Fare": 1.1814167324403446, + "Average Passengers": 110.36070375118817 }, { "NTD ID": 40022, @@ -4421,7 +4776,8 @@ "All Fuels (Wh/pkm)": 646.3182473862573, "Unlinked Passenger Trips": 51447770, "Passenger Paid Fares": 51795373, - "Average Fare": 1.0067564250112297 + "Average Fare": 1.0067564250112297, + "Average Passengers": 7.647737658503341 }, { "NTD ID": 40022, @@ -4433,7 +4789,8 @@ "All Fuels (Wh/pkm)": 2000.3973438325866, "Unlinked Passenger Trips": 285077, "Passenger Paid Fares": 126354, - "Average Fare": 0.44322761920463594 + "Average Fare": 0.44322761920463594, + "Average Passengers": 3.5292362473417844 }, { "NTD ID": 40023, @@ -4445,7 +4802,8 @@ "All Fuels (Wh/pkm)": 3816.0694655435, "Unlinked Passenger Trips": 28422, "Passenger Paid Fares": 71140, - "Average Fare": 2.5029906410527056 + "Average Fare": 2.5029906410527056, + "Average Passengers": 0.7709827907941116 }, { "NTD ID": 40023, @@ -4457,7 +4815,8 @@ "All Fuels (Wh/pkm)": 1529.2560267427166, "Unlinked Passenger Trips": 640466, "Passenger Paid Fares": 531608, - "Average Fare": 0.830033132125671 + "Average Fare": 0.830033132125671, + "Average Passengers": 3.954349245120128 }, { "NTD ID": 40025, @@ -4471,7 +4830,8 @@ "All Fuels (Wh/pkm)": 2412.5552758163212, "Unlinked Passenger Trips": 112915, "Passenger Paid Fares": 180311, - "Average Fare": 1.5968737545941638 + "Average Fare": 1.5968737545941638, + "Average Passengers": 1.089660825057491 }, { "NTD ID": 40025, @@ -4481,7 +4841,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2817.9892804210626, "All Fuels (Wh/pkm)": 2817.9892804210626, - "Unlinked Passenger Trips": 787468 + "Unlinked Passenger Trips": 787468, + "Average Passengers": 19.491792600312664 }, { "NTD ID": 40025, @@ -4493,7 +4854,8 @@ "All Fuels (Wh/pkm)": 1003.8396359402858, "Unlinked Passenger Trips": 3168774, "Passenger Paid Fares": 2274205, - "Average Fare": 0.717692394598037 + "Average Fare": 0.717692394598037, + "Average Passengers": 4.51495626243299 }, { "NTD ID": 40026, @@ -4507,7 +4869,8 @@ "All Fuels (Wh/pkm)": 3032.365631479417, "Unlinked Passenger Trips": 98763, "Passenger Paid Fares": 133950, - "Average Fare": 1.3562771483247775 + "Average Fare": 1.3562771483247775, + "Average Passengers": 1.0546884652303248 }, { "NTD ID": 40026, @@ -4519,7 +4882,8 @@ "All Fuels (Wh/pkm)": 1105.8801153996258, "Unlinked Passenger Trips": 1475533, "Passenger Paid Fares": 878190, - "Average Fare": 0.5951679833660108 + "Average Fare": 0.5951679833660108, + "Average Passengers": 4.30386361271526 }, { "NTD ID": 40027, @@ -4535,7 +4899,8 @@ "All Fuels (Wh/pkm)": 810.2051049408757, "Unlinked Passenger Trips": 13236380, "Passenger Paid Fares": 9012791, - "Average Fare": 0.6809105661819923 + "Average Fare": 0.6809105661819923, + "Average Passengers": 6.679250737116567 }, { "NTD ID": 40028, @@ -4550,7 +4915,8 @@ "All Fuels (Wh/pkm)": 3178.4418022249656, "Unlinked Passenger Trips": 140593, "Passenger Paid Fares": 686883, - "Average Fare": 4.885613081732377 + "Average Fare": 4.885613081732377, + "Average Passengers": 0.9990673023080864 }, { "NTD ID": 40028, @@ -4564,7 +4930,8 @@ "All Fuels (Wh/pkm)": 973.6508914515753, "Unlinked Passenger Trips": 2971742, "Passenger Paid Fares": 2386336, - "Average Fare": 0.8030091441316238 + "Average Fare": 0.8030091441316238, + "Average Passengers": 4.915618534674508 }, { "NTD ID": 40028, @@ -4576,7 +4943,8 @@ "All Fuels (Wh/pkm)": 207.7224302465676, "Unlinked Passenger Trips": 68567, "Passenger Paid Fares": 155433, - "Average Fare": 2.2668776525150585 + "Average Fare": 2.2668776525150585, + "Average Passengers": 7.774531487471835 }, { "NTD ID": 40029, @@ -4589,7 +4957,8 @@ "All Fuels (Wh/pkm)": 2555.438348409687, "Unlinked Passenger Trips": 929125, "Passenger Paid Fares": 1081535, - "Average Fare": 1.1640360554284945 + "Average Fare": 1.1640360554284945, + "Average Passengers": 0.8530952932475436 }, { "NTD ID": 40029, @@ -4601,7 +4970,8 @@ "All Fuels (Wh/pkm)": 880.1560131428873, "Unlinked Passenger Trips": 26371330, "Passenger Paid Fares": 27893729, - "Average Fare": 1.057729321956837 + "Average Fare": 1.057729321956837, + "Average Passengers": 7.378983733723987 }, { "NTD ID": 40030, @@ -4613,7 +4983,8 @@ "All Fuels (Wh/pkm)": 4587.2827339094365, "Unlinked Passenger Trips": 56719, "Passenger Paid Fares": 168351, - "Average Fare": 2.968158818032758 + "Average Fare": 2.968158818032758, + "Average Passengers": 0.7546369004560123 }, { "NTD ID": 40030, @@ -4625,7 +4996,8 @@ "All Fuels (Wh/pkm)": 1049.4815540960872, "Unlinked Passenger Trips": 9149481, "Passenger Paid Fares": 719524, - "Average Fare": 0.07864096335081738 + "Average Fare": 0.07864096335081738, + "Average Passengers": 6.099595738059528 }, { "NTD ID": 40030, @@ -4637,7 +5009,8 @@ "All Fuels (Wh/pkm)": 169.74980840801547, "Unlinked Passenger Trips": 48907, "Passenger Paid Fares": 145528, - "Average Fare": 2.9756067638579347 + "Average Fare": 2.9756067638579347, + "Average Passengers": 7.500040889325041 }, { "NTD ID": 40031, @@ -4649,7 +5022,8 @@ "All Fuels (Wh/pkm)": 3359.561976812005, "Unlinked Passenger Trips": 107741, "Passenger Paid Fares": 76620, - "Average Fare": 0.7111498872295597 + "Average Fare": 0.7111498872295597, + "Average Passengers": 0.8775695750375611 }, { "NTD ID": 40031, @@ -4663,7 +5037,8 @@ "All Fuels (Wh/pkm)": 1221.685265785123, "Unlinked Passenger Trips": 1187030, "Passenger Paid Fares": 713945, - "Average Fare": 0.6014548916202623 + "Average Fare": 0.6014548916202623, + "Average Passengers": 4.36471528489689 }, { "NTD ID": 40032, @@ -4678,7 +5053,8 @@ "All Fuels (Wh/pkm)": 3940.311385479266, "Unlinked Passenger Trips": 305885, "Passenger Paid Fares": 590779, - "Average Fare": 1.9313761707831374 + "Average Fare": 1.9313761707831374, + "Average Passengers": 0.9498019795385283 }, { "NTD ID": 40032, @@ -4690,7 +5066,8 @@ "All Fuels (Wh/pkm)": 1275.2031334766514, "Unlinked Passenger Trips": 3150416, "Passenger Paid Fares": 2350688, - "Average Fare": 0.7461516193416996 + "Average Fare": 0.7461516193416996, + "Average Passengers": 3.906269871963298 }, { "NTD ID": 40032, @@ -4702,7 +5079,8 @@ "All Fuels (Wh/pkm)": 219.16026000224767, "Unlinked Passenger Trips": 22412, "Passenger Paid Fares": 111428, - "Average Fare": 4.971800820988756 + "Average Fare": 4.971800820988756, + "Average Passengers": 4.377111215063455 }, { "NTD ID": 40034, @@ -4714,7 +5092,8 @@ "All Fuels (Wh/pkm)": 1008.6828208090038, "Unlinked Passenger Trips": 328215, "Passenger Paid Fares": 292197, - "Average Fare": 0.8902609569946529 + "Average Fare": 0.8902609569946529, + "Average Passengers": 12.03845410535121 }, { "NTD ID": 40034, @@ -4726,7 +5105,8 @@ "All Fuels (Wh/pkm)": 912.7093270356282, "Unlinked Passenger Trips": 1777925, "Passenger Paid Fares": 6169450, - "Average Fare": 3.470028263284447 + "Average Fare": 3.470028263284447, + "Average Passengers": 1.4573267665957697 }, { "NTD ID": 40034, @@ -4734,7 +5114,8 @@ "UACE Code": "56602", "Unlinked Passenger Trips": 18494501, "Passenger Paid Fares": 10326464, - "Average Fare": 0.5583532099622477 + "Average Fare": 0.5583532099622477, + "Average Passengers": 64.85589889881902 }, { "NTD ID": 40034, @@ -4750,7 +5131,8 @@ "All Fuels (Wh/pkm)": 766.2419320795412, "Unlinked Passenger Trips": 49632144, "Passenger Paid Fares": 50162557, - "Average Fare": 1.0106868846931134 + "Average Fare": 1.0106868846931134, + "Average Passengers": 7.426092123397665 }, { "NTD ID": 40034, @@ -4760,7 +5142,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 681.0702721363002, "All Fuels (Wh/pkm)": 681.0702721363002, - "Unlinked Passenger Trips": 8863809 + "Unlinked Passenger Trips": 8863809, + "Average Passengers": 8.688288324012843 }, { "NTD ID": 40034, @@ -4772,7 +5155,8 @@ "All Fuels (Wh/pkm)": 264.3849728112733, "Unlinked Passenger Trips": 482027, "Passenger Paid Fares": 2001289, - "Average Fare": 4.151819296429453 + "Average Fare": 4.151819296429453, + "Average Passengers": 4.662942976122283 }, { "NTD ID": 40035, @@ -4784,7 +5168,8 @@ "All Fuels (Wh/pkm)": 2748.1905580622324, "Unlinked Passenger Trips": 582170, "Passenger Paid Fares": 2356303, - "Average Fare": 4.047448339832008 + "Average Fare": 4.047448339832008, + "Average Passengers": 0.8233274005161029 }, { "NTD ID": 40035, @@ -4800,13 +5185,15 @@ "All Fuels (Wh/pkm)": 516.7665126409642, "Unlinked Passenger Trips": 22963782, "Passenger Paid Fares": 21507138, - "Average Fare": 0.9365677657103695 + "Average Fare": 0.9365677657103695, + "Average Passengers": 8.052207047737745 }, { "NTD ID": 40035, "Mode": "RB", "UACE Code": "65863", - "Unlinked Passenger Trips": 1040300 + "Unlinked Passenger Trips": 1040300, + "Average Passengers": 2.2965288283476353 }, { "NTD ID": 40036, @@ -4818,7 +5205,8 @@ "All Fuels (Wh/pkm)": 3434.559116697161, "Unlinked Passenger Trips": 137819, "Passenger Paid Fares": 273320, - "Average Fare": 1.9831808386361822 + "Average Fare": 1.9831808386361822, + "Average Passengers": 0.9808557652432798 }, { "NTD ID": 40036, @@ -4834,7 +5222,8 @@ "All Fuels (Wh/pkm)": 1242.5193244598067, "Unlinked Passenger Trips": 3480410, "Passenger Paid Fares": 831329, - "Average Fare": 0.2388595021850874 + "Average Fare": 0.2388595021850874, + "Average Passengers": 4.093941905501845 }, { "NTD ID": 40037, @@ -4848,7 +5237,8 @@ "All Fuels (Wh/pkm)": 2714.480874945828, "Unlinked Passenger Trips": 1046021, "Passenger Paid Fares": 3099906, - "Average Fare": 2.963521764859405 + "Average Fare": 2.963521764859405, + "Average Passengers": 1.1260636019334747 }, { "NTD ID": 40037, @@ -4860,7 +5250,8 @@ "All Fuels (Wh/pkm)": 778.294458316409, "Unlinked Passenger Trips": 9056770, "Passenger Paid Fares": 7814589, - "Average Fare": 0.8628450319484761 + "Average Fare": 0.8628450319484761, + "Average Passengers": 6.6770060550157035 }, { "NTD ID": 40038, @@ -4872,7 +5263,8 @@ "All Fuels (Wh/pkm)": 2624.985688403689, "Unlinked Passenger Trips": 106476, "Passenger Paid Fares": 283190, - "Average Fare": 2.6596603929524023 + "Average Fare": 2.6596603929524023, + "Average Passengers": 0.8313566012447904 }, { "NTD ID": 40038, @@ -4884,7 +5276,8 @@ "All Fuels (Wh/pkm)": 1277.7018144211565, "Unlinked Passenger Trips": 1398149, "Passenger Paid Fares": 948492, - "Average Fare": 0.6783912158146235 + "Average Fare": 0.6783912158146235, + "Average Passengers": 4.066227671993384 }, { "NTD ID": 40040, @@ -4896,7 +5289,8 @@ "All Fuels (Wh/pkm)": 3357.0862851807437, "Unlinked Passenger Trips": 412360, "Passenger Paid Fares": 1150901, - "Average Fare": 2.7910102822776217 + "Average Fare": 2.7910102822776217, + "Average Passengers": 0.8950698895278949 }, { "NTD ID": 40040, @@ -4904,7 +5298,8 @@ "UACE Code": "42346", "Unlinked Passenger Trips": 423806, "Passenger Paid Fares": 1384078, - "Average Fare": 3.2658291765571983 + "Average Fare": 3.2658291765571983, + "Average Passengers": 24.652662874870735 }, { "NTD ID": 40040, @@ -4920,7 +5315,8 @@ "All Fuels (Wh/pkm)": 726.8906744564184, "Unlinked Passenger Trips": 9982230, "Passenger Paid Fares": 9723376, - "Average Fare": 0.9740685197596128 + "Average Fare": 0.9740685197596128, + "Average Passengers": 5.819974290006365 }, { "NTD ID": 40040, @@ -4930,7 +5326,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 670.3504076694717, "All Fuels (Wh/pkm)": 670.3504076694717, - "Unlinked Passenger Trips": 796056 + "Unlinked Passenger Trips": 796056, + "Average Passengers": 4.71112600536193 }, { "NTD ID": 40041, @@ -4946,7 +5343,8 @@ "All Fuels (Wh/pkm)": 1624.1643811902388, "Unlinked Passenger Trips": 196897, "Passenger Paid Fares": 386106, - "Average Fare": 1.9609542044825468 + "Average Fare": 1.9609542044825468, + "Average Passengers": 0.9276998625100977 }, { "NTD ID": 40041, @@ -4960,7 +5358,8 @@ "All Fuels (Wh/pkm)": 532.9681421234444, "Unlinked Passenger Trips": 12032360, "Passenger Paid Fares": 8494081, - "Average Fare": 0.7059364081526815 + "Average Fare": 0.7059364081526815, + "Average Passengers": 7.840952990869459 }, { "NTD ID": 40041, @@ -4970,7 +5369,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 371.79009433052477, "All Fuels (Wh/pkm)": 371.79009433052477, - "Unlinked Passenger Trips": 878343 + "Unlinked Passenger Trips": 878343, + "Average Passengers": 10.695599611034702 }, { "NTD ID": 40042, @@ -4982,7 +5382,8 @@ "All Fuels (Wh/pkm)": 496.15260092299974, "Unlinked Passenger Trips": 131471, "Passenger Paid Fares": 178505, - "Average Fare": 1.3577518996584799 + "Average Fare": 1.3577518996584799, + "Average Passengers": 1.802145525474721 }, { "NTD ID": 40042, @@ -4996,7 +5397,8 @@ "All Fuels (Wh/pkm)": 473.78089540954676, "Unlinked Passenger Trips": 3120707, "Passenger Paid Fares": 1827042, - "Average Fare": 0.5854577183952226 + "Average Fare": 0.5854577183952226, + "Average Passengers": 5.505302394296324 }, { "NTD ID": 40043, @@ -5008,7 +5410,8 @@ "All Fuels (Wh/pkm)": 3713.299271246802, "Unlinked Passenger Trips": 88149, "Passenger Paid Fares": 191502, - "Average Fare": 2.1724806861110166 + "Average Fare": 2.1724806861110166, + "Average Passengers": 0.9059358458824012 }, { "NTD ID": 40043, @@ -5022,7 +5425,8 @@ "All Fuels (Wh/pkm)": 889.5095195672726, "Unlinked Passenger Trips": 849876, "Passenger Paid Fares": 563607, - "Average Fare": 0.6631638027194555 + "Average Fare": 0.6631638027194555, + "Average Passengers": 5.388517142944842 }, { "NTD ID": 40044, @@ -5036,7 +5440,8 @@ "All Fuels (Wh/pkm)": 831.0332852418214, "Unlinked Passenger Trips": 23194, "Passenger Paid Fares": 79261, - "Average Fare": 3.4173061998792793 + "Average Fare": 3.4173061998792793, + "Average Passengers": 0.9227935115572033 }, { "NTD ID": 40046, @@ -5050,7 +5455,8 @@ "All Fuels (Wh/pkm)": 2425.036949110883, "Unlinked Passenger Trips": 205886, "Passenger Paid Fares": 512896, - "Average Fare": 2.4911650136483297 + "Average Fare": 2.4911650136483297, + "Average Passengers": 1.0946698861008524 }, { "NTD ID": 40046, @@ -5064,7 +5470,8 @@ "All Fuels (Wh/pkm)": 1239.7495600086147, "Unlinked Passenger Trips": 2418259, "Passenger Paid Fares": 1471597, - "Average Fare": 0.6085357275626804 + "Average Fare": 0.6085357275626804, + "Average Passengers": 3.6763465959874337 }, { "NTD ID": 40047, @@ -5072,7 +5479,8 @@ "UACE Code": "03763", "Unlinked Passenger Trips": 7256, "Passenger Paid Fares": 19298, - "Average Fare": 2.6595920617420066 + "Average Fare": 2.6595920617420066, + "Average Passengers": 0.5665410700828938 }, { "NTD ID": 40047, @@ -5084,7 +5492,8 @@ "All Fuels (Wh/pkm)": 1223.9570091393678, "Unlinked Passenger Trips": 1273010, "Passenger Paid Fares": 596605, - "Average Fare": 0.4686569626318725 + "Average Fare": 0.4686569626318725, + "Average Passengers": 4.486990353510332 }, { "NTD ID": 40051, @@ -5094,7 +5503,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 5237.797832593407, "All Fuels (Wh/pkm)": 5237.797832593407, - "Unlinked Passenger Trips": 68200 + "Unlinked Passenger Trips": 68200, + "Average Passengers": 0.8115075707018643 }, { "NTD ID": 40051, @@ -5106,7 +5516,8 @@ "All Fuels (Wh/pkm)": 915.3624625073074, "Unlinked Passenger Trips": 6573353, "Passenger Paid Fares": 5845, - "Average Fare": 0.0008891961225876657 + "Average Fare": 0.0008891961225876657, + "Average Passengers": 5.927041393070631 }, { "NTD ID": 40053, @@ -5114,7 +5525,8 @@ "UACE Code": "35461", "Unlinked Passenger Trips": 9455, "Passenger Paid Fares": 26994, - "Average Fare": 2.854997355896351 + "Average Fare": 2.854997355896351, + "Average Passengers": 0.5003525421144904 }, { "NTD ID": 40053, @@ -5129,7 +5541,8 @@ "All Fuels (Wh/pkm)": 1288.6953834153244, "Unlinked Passenger Trips": 799346, "Passenger Paid Fares": 705882, - "Average Fare": 0.8830744133328996 + "Average Fare": 0.8830744133328996, + "Average Passengers": 4.916481867988521 }, { "NTD ID": 40057, @@ -5142,7 +5555,8 @@ "All Fuels (Wh/pkm)": 934.5949078016138, "Unlinked Passenger Trips": 37277, "Passenger Paid Fares": 39349, - "Average Fare": 1.0555838720927113 + "Average Fare": 1.0555838720927113, + "Average Passengers": 1.0063842456722385 }, { "NTD ID": 40058, @@ -5156,7 +5570,8 @@ "All Fuels (Wh/pkm)": 1127.8637992035883, "Unlinked Passenger Trips": 23767, "Passenger Paid Fares": 49137, - "Average Fare": 2.0674464593764466 + "Average Fare": 2.0674464593764466, + "Average Passengers": 0.9513161227920687 }, { "NTD ID": 40063, @@ -5170,7 +5585,8 @@ "All Fuels (Wh/pkm)": 1364.1643656086335, "Unlinked Passenger Trips": 195831, "Passenger Paid Fares": 770281, - "Average Fare": 3.9333966532367195 + "Average Fare": 3.9333966532367195, + "Average Passengers": 2.1150462894185376 }, { "NTD ID": 40063, @@ -5182,7 +5598,8 @@ "All Fuels (Wh/pkm)": 107.16250922697748, "Unlinked Passenger Trips": 85185, "Passenger Paid Fares": 472782, - "Average Fare": 5.550061630568762 + "Average Fare": 5.550061630568762, + "Average Passengers": 5.9553283685559775 }, { "NTD ID": 40068, @@ -5194,7 +5611,8 @@ "All Fuels (Wh/pkm)": 1689.4666323631072, "Unlinked Passenger Trips": 89614, "Passenger Paid Fares": 92329, - "Average Fare": 1.030296605441114 + "Average Fare": 1.030296605441114, + "Average Passengers": 1.8031655429061468 }, { "NTD ID": 40071, @@ -5206,7 +5624,8 @@ "All Fuels (Wh/pkm)": 2443.0575208295027, "Unlinked Passenger Trips": 104148, "Passenger Paid Fares": 127700, - "Average Fare": 1.2261397242385836 + "Average Fare": 1.2261397242385836, + "Average Passengers": 1.1663341376454064 }, { "NTD ID": 40071, @@ -5218,7 +5637,8 @@ "All Fuels (Wh/pkm)": 963.0057948907138, "Unlinked Passenger Trips": 644915, "Passenger Paid Fares": 267346, - "Average Fare": 0.4145445523828722 + "Average Fare": 0.4145445523828722, + "Average Passengers": 5.004562069739008 }, { "NTD ID": 40074, @@ -5232,7 +5652,8 @@ "All Fuels (Wh/pkm)": 4033.5160976123616, "Unlinked Passenger Trips": 66013, "Passenger Paid Fares": 69387, - "Average Fare": 1.051111144774514 + "Average Fare": 1.051111144774514, + "Average Passengers": 0.8279720037620666 }, { "NTD ID": 40074, @@ -5244,7 +5665,8 @@ "All Fuels (Wh/pkm)": 1264.8813860314108, "Unlinked Passenger Trips": 859657, "Passenger Paid Fares": 819318, - "Average Fare": 0.953075470798237 + "Average Fare": 0.953075470798237, + "Average Passengers": 2.948150050821346 }, { "NTD ID": 40077, @@ -5256,7 +5678,8 @@ "All Fuels (Wh/pkm)": 664.9936533743593, "Unlinked Passenger Trips": 4465750, "Passenger Paid Fares": 13213219, - "Average Fare": 2.958790572692157 + "Average Fare": 2.958790572692157, + "Average Passengers": 100.18641682875534 }, { "NTD ID": 40077, @@ -5266,7 +5689,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1252.7642636611474, "All Fuels (Wh/pkm)": 1252.7642636611474, - "Unlinked Passenger Trips": 967951 + "Unlinked Passenger Trips": 967951, + "Average Passengers": 3.688825718742318 }, { "NTD ID": 40078, @@ -5278,7 +5702,8 @@ "All Fuels (Wh/pkm)": 3901.283456253777, "Unlinked Passenger Trips": 63377, "Passenger Paid Fares": 91620, - "Average Fare": 1.4456348517601023 + "Average Fare": 1.4456348517601023, + "Average Passengers": 0.787564825734218 }, { "NTD ID": 40078, @@ -5292,7 +5717,8 @@ "All Fuels (Wh/pkm)": 1094.634635029968, "Unlinked Passenger Trips": 2143489, "Passenger Paid Fares": 2859837, - "Average Fare": 1.3341971897219906 + "Average Fare": 1.3341971897219906, + "Average Passengers": 3.717739277883828 }, { "NTD ID": 40082, @@ -5304,7 +5730,8 @@ "All Fuels (Wh/pkm)": 849.6673584541902, "Unlinked Passenger Trips": 19258, "Passenger Paid Fares": 1410, - "Average Fare": 0.07321632568283311 + "Average Fare": 0.07321632568283311, + "Average Passengers": 2.8803039711404836 }, { "NTD ID": 40082, @@ -5312,7 +5739,8 @@ "UACE Code": "03817", "Unlinked Passenger Trips": 13349, "Passenger Paid Fares": 20679, - "Average Fare": 1.549104801857817 + "Average Fare": 1.549104801857817, + "Average Passengers": 0.42741271728349034 }, { "NTD ID": 40082, @@ -5324,7 +5752,8 @@ "All Fuels (Wh/pkm)": 360.668969530047, "Unlinked Passenger Trips": 67360, "Passenger Paid Fares": 216008, - "Average Fare": 3.206769596199525 + "Average Fare": 3.206769596199525, + "Average Passengers": 3.8784837133519847 }, { "NTD ID": 40086, @@ -5338,7 +5767,8 @@ "All Fuels (Wh/pkm)": 990.7447138609435, "Unlinked Passenger Trips": 94452, "Passenger Paid Fares": 94452, - "Average Fare": 1.0 + "Average Fare": 1.0, + "Average Passengers": 1.4488036431746276 }, { "NTD ID": 40086, @@ -5350,7 +5780,8 @@ "All Fuels (Wh/pkm)": 1181.8541405305311, "Unlinked Passenger Trips": 3224376, "Passenger Paid Fares": 1828221, - "Average Fare": 0.5669999404535947 + "Average Fare": 0.5669999404535947, + "Average Passengers": 10.818742173308443 }, { "NTD ID": 40087, @@ -5362,7 +5793,8 @@ "All Fuels (Wh/pkm)": 2840.4570085747114, "Unlinked Passenger Trips": 202538, "Passenger Paid Fares": 184752, - "Average Fare": 0.9121843802150708 + "Average Fare": 0.9121843802150708, + "Average Passengers": 1.0165659647387402 }, { "NTD ID": 40087, @@ -5374,7 +5806,8 @@ "All Fuels (Wh/pkm)": 883.5028377867314, "Unlinked Passenger Trips": 6562498, "Passenger Paid Fares": 2260327, - "Average Fare": 0.34443088592179383 + "Average Fare": 0.34443088592179383, + "Average Passengers": 7.058423837390468 }, { "NTD ID": 40093, @@ -5388,7 +5821,8 @@ "All Fuels (Wh/pkm)": 3987.1299873550774, "Unlinked Passenger Trips": 274806, "Passenger Paid Fares": 276302, - "Average Fare": 1.0054438403819421 + "Average Fare": 1.0054438403819421, + "Average Passengers": 0.8433338126245301 }, { "NTD ID": 40093, @@ -5402,7 +5836,8 @@ "All Fuels (Wh/pkm)": 1736.7500572591716, "Unlinked Passenger Trips": 3191156, "Passenger Paid Fares": 2596775, - "Average Fare": 0.8137411646437842 + "Average Fare": 0.8137411646437842, + "Average Passengers": 3.40411726341571 }, { "NTD ID": 40094, @@ -5414,7 +5849,8 @@ "All Fuels (Wh/pkm)": 39.458256900059354, "Unlinked Passenger Trips": 5345703, "Passenger Paid Fares": 6943242, - "Average Fare": 1.2988454465203174 + "Average Fare": 1.2988454465203174, + "Average Passengers": 41.48496959952899 }, { "NTD ID": 40094, @@ -5426,7 +5862,8 @@ "All Fuels (Wh/pkm)": 1036.7007079320529, "Unlinked Passenger Trips": 1482803, "Passenger Paid Fares": 675563, - "Average Fare": 0.4555986196413145 + "Average Fare": 0.4555986196413145, + "Average Passengers": 5.702767558057401 }, { "NTD ID": 40097, @@ -5438,7 +5875,8 @@ "Gasoline (Wh/pkm)": 676.3552270829998, "Diesel (Wh/pkm)": 1864.0275953135242, "All Fuels (Wh/pkm)": 1850.704035837562, - "Unlinked Passenger Trips": 90596 + "Unlinked Passenger Trips": 90596, + "Average Passengers": 1.6952055660481953 }, { "NTD ID": 40097, @@ -5448,7 +5886,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 849.6895969088349, "All Fuels (Wh/pkm)": 849.6895969088349, - "Unlinked Passenger Trips": 661097 + "Unlinked Passenger Trips": 661097, + "Average Passengers": 5.58099920709214 }, { "NTD ID": 40100, @@ -5460,7 +5899,8 @@ "All Fuels (Wh/pkm)": 791.7626476635788, "Unlinked Passenger Trips": 11928, "Passenger Paid Fares": 10983, - "Average Fare": 0.920774647887324 + "Average Fare": 0.920774647887324, + "Average Passengers": 5.9857995717159485 }, { "NTD ID": 40100, @@ -5475,7 +5915,8 @@ "All Fuels (Wh/pkm)": 515.2924946190116, "Unlinked Passenger Trips": 21808, "Passenger Paid Fares": 10075, - "Average Fare": 0.46198642699926634 + "Average Fare": 0.46198642699926634, + "Average Passengers": 1.501642868109934 }, { "NTD ID": 40104, @@ -5485,7 +5926,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2465.1156205944562, "All Fuels (Wh/pkm)": 2465.1156205944562, - "Unlinked Passenger Trips": 32947 + "Unlinked Passenger Trips": 32947, + "Average Passengers": 0.772306183244932 }, { "NTD ID": 40104, @@ -5497,7 +5939,8 @@ "Gasoline (Wh/pkm)": 687.08530965255, "Diesel (Wh/pkm)": 661.2391399908058, "All Fuels (Wh/pkm)": 668.8297046854022, - "Unlinked Passenger Trips": 1226631 + "Unlinked Passenger Trips": 1226631, + "Average Passengers": 5.323755920362288 }, { "NTD ID": 40108, @@ -5509,7 +5952,8 @@ "All Fuels (Wh/pkm)": 1903.2050524613717, "Unlinked Passenger Trips": 65598, "Passenger Paid Fares": 72408, - "Average Fare": 1.1038141406750206 + "Average Fare": 1.1038141406750206, + "Average Passengers": 1.3780336910655548 }, { "NTD ID": 40108, @@ -5521,7 +5965,8 @@ "All Fuels (Wh/pkm)": 887.2458689202251, "Unlinked Passenger Trips": 1654836, "Passenger Paid Fares": 1758770, - "Average Fare": 1.0628062236983 + "Average Fare": 1.0628062236983, + "Average Passengers": 5.128823270332068 }, { "NTD ID": 40108, @@ -5533,7 +5978,8 @@ "All Fuels (Wh/pkm)": 462.6897585234279, "Unlinked Passenger Trips": 163492, "Passenger Paid Fares": 363070, - "Average Fare": 2.220720279891371 + "Average Fare": 2.220720279891371, + "Average Passengers": 6.998347138840337 }, { "NTD ID": 40110, @@ -5545,7 +5991,8 @@ "All Fuels (Wh/pkm)": 1725.6768700598575, "Unlinked Passenger Trips": 75790, "Passenger Paid Fares": 209860, - "Average Fare": 2.7689668821744293 + "Average Fare": 2.7689668821744293, + "Average Passengers": 0.9812853320154766 }, { "NTD ID": 40110, @@ -5559,7 +6006,8 @@ "All Fuels (Wh/pkm)": 843.6967504870868, "Unlinked Passenger Trips": 2991215, "Passenger Paid Fares": 3360178, - "Average Fare": 1.1233488732839332 + "Average Fare": 1.1233488732839332, + "Average Passengers": 5.1677067036413655 }, { "NTD ID": 40128, @@ -5573,7 +6021,8 @@ "All Fuels (Wh/pkm)": 2332.789491279465, "Unlinked Passenger Trips": 82168, "Passenger Paid Fares": 89207, - "Average Fare": 1.0856659526823094 + "Average Fare": 1.0856659526823094, + "Average Passengers": 0.8165991963913041 }, { "NTD ID": 40129, @@ -5587,7 +6036,8 @@ "All Fuels (Wh/pkm)": 1412.4891499890487, "Unlinked Passenger Trips": 130125, "Passenger Paid Fares": 136734, - "Average Fare": 1.0507896253602305 + "Average Fare": 1.0507896253602305, + "Average Passengers": 1.4255936871882677 }, { "NTD ID": 40138, @@ -5599,7 +6049,8 @@ "All Fuels (Wh/pkm)": 759.7746189181006, "Unlinked Passenger Trips": 417245, "Passenger Paid Fares": 1997270, - "Average Fare": 4.786803916164364 + "Average Fare": 4.786803916164364, + "Average Passengers": 8.289893404697692 }, { "NTD ID": 40138, @@ -5611,7 +6062,8 @@ "All Fuels (Wh/pkm)": 5768.285443631376, "Unlinked Passenger Trips": 49301, "Passenger Paid Fares": 68033, - "Average Fare": 1.3799517251171376 + "Average Fare": 1.3799517251171376, + "Average Passengers": 0.8279290277065471 }, { "NTD ID": 40138, @@ -5623,7 +6075,8 @@ "All Fuels (Wh/pkm)": 989.4778683868439, "Unlinked Passenger Trips": 1084022, "Passenger Paid Fares": 1559585, - "Average Fare": 1.4387023510592958 + "Average Fare": 1.4387023510592958, + "Average Passengers": 5.092511125704584 }, { "NTD ID": 40140, @@ -5637,7 +6090,8 @@ "All Fuels (Wh/pkm)": 2811.015127929075, "Unlinked Passenger Trips": 108214, "Passenger Paid Fares": 243269, - "Average Fare": 2.2480362984456725 + "Average Fare": 2.2480362984456725, + "Average Passengers": 0.8311782613708563 }, { "NTD ID": 40140, @@ -5649,7 +6103,8 @@ "All Fuels (Wh/pkm)": 1126.5816964341493, "Unlinked Passenger Trips": 805513, "Passenger Paid Fares": 909346, - "Average Fare": 1.1289029475626091 + "Average Fare": 1.1289029475626091, + "Average Passengers": 3.9092279069892 }, { "NTD ID": 40141, @@ -5662,7 +6117,8 @@ "All Fuels (Wh/pkm)": 2453.862025659252, "Unlinked Passenger Trips": 71283, "Passenger Paid Fares": 276189, - "Average Fare": 3.87454231724254 + "Average Fare": 3.87454231724254, + "Average Passengers": 1.181387568804663 }, { "NTD ID": 40141, @@ -5671,7 +6127,8 @@ "Other (%)": 14.778610808737566, "Unlinked Passenger Trips": 2654874, "Passenger Paid Fares": 2019302, - "Average Fare": 0.760601821404707 + "Average Fare": 0.760601821404707, + "Average Passengers": 2.4427487507150336 }, { "NTD ID": 40141, @@ -5683,7 +6140,8 @@ "All Fuels (Wh/pkm)": 209.78154513162772, "Unlinked Passenger Trips": 1121, "Passenger Paid Fares": 3989, - "Average Fare": 3.55842997323818 + "Average Fare": 3.55842997323818, + "Average Passengers": 4.9958123953098825 }, { "NTD ID": 40147, @@ -5695,7 +6153,8 @@ "All Fuels (Wh/pkm)": 887.0155996909156, "Unlinked Passenger Trips": 3362828, "Passenger Paid Fares": 6048477, - "Average Fare": 1.7986281189522628 + "Average Fare": 1.7986281189522628, + "Average Passengers": 6.873763944396636 }, { "NTD ID": 40158, @@ -5707,7 +6166,8 @@ "All Fuels (Wh/pkm)": 2879.560775969269, "Unlinked Passenger Trips": 118750, "Passenger Paid Fares": 100567, - "Average Fare": 0.84688 + "Average Fare": 0.84688, + "Average Passengers": 1.076819869086218 }, { "NTD ID": 40158, @@ -5721,7 +6181,8 @@ "All Fuels (Wh/pkm)": 1272.3942855268913, "Unlinked Passenger Trips": 353945, "Passenger Paid Fares": 148242, - "Average Fare": 0.4188277839777367 + "Average Fare": 0.4188277839777367, + "Average Passengers": 3.382987174313814 }, { "NTD ID": 40159, @@ -5733,7 +6194,8 @@ "All Fuels (Wh/pkm)": 1018.7669241192008, "Unlinked Passenger Trips": 289524, "Passenger Paid Fares": 970008, - "Average Fare": 3.3503543747668587 + "Average Fare": 3.3503543747668587, + "Average Passengers": 52.04975717034729 }, { "NTD ID": 40159, @@ -5745,7 +6207,8 @@ "All Fuels (Wh/pkm)": 161.8997932365566, "Unlinked Passenger Trips": 97500, "Passenger Paid Fares": 309149, - "Average Fare": 3.1707589743589746 + "Average Fare": 3.1707589743589746, + "Average Passengers": 8.362937273823883 }, { "NTD ID": 40169, @@ -5757,7 +6220,8 @@ "All Fuels (Wh/pkm)": 423.344399437665, "Unlinked Passenger Trips": 79333, "Passenger Paid Fares": 352682, - "Average Fare": 4.44559010752146 + "Average Fare": 4.44559010752146, + "Average Passengers": 4.77931123125246 }, { "NTD ID": 40171, @@ -5769,7 +6233,8 @@ "All Fuels (Wh/pkm)": 1778.6135806437019, "Unlinked Passenger Trips": 142714, "Passenger Paid Fares": 55670, - "Average Fare": 0.3900808610227448 + "Average Fare": 0.3900808610227448, + "Average Passengers": 1.4479776916812677 }, { "NTD ID": 40172, @@ -5783,7 +6248,8 @@ "All Fuels (Wh/pkm)": 628.9747233985692, "Unlinked Passenger Trips": 140553, "Passenger Paid Fares": 67320, - "Average Fare": 0.4789652301978613 + "Average Fare": 0.4789652301978613, + "Average Passengers": 1.8311004188331461 }, { "NTD ID": 40173, @@ -5797,7 +6263,8 @@ "All Fuels (Wh/pkm)": 989.629476808021, "Unlinked Passenger Trips": 449979, "Passenger Paid Fares": 381822, - "Average Fare": 0.8485329315368051 + "Average Fare": 0.8485329315368051, + "Average Passengers": 3.6711403479581786 }, { "NTD ID": 40173, @@ -5809,7 +6276,8 @@ "All Fuels (Wh/pkm)": 77.754859895332, "Unlinked Passenger Trips": 237003, "Passenger Paid Fares": 653591, - "Average Fare": 2.7577330244764835 + "Average Fare": 2.7577330244764835, + "Average Passengers": 9.480265664124643 }, { "NTD ID": 40175, @@ -5821,7 +6289,8 @@ "All Fuels (Wh/pkm)": 5386.003874504653, "Unlinked Passenger Trips": 1626912, "Passenger Paid Fares": 1611946, - "Average Fare": 0.9908009775574831 + "Average Fare": 0.9908009775574831, + "Average Passengers": 106.78293287459982 }, { "NTD ID": 40178, @@ -5833,7 +6302,8 @@ "All Fuels (Wh/pkm)": 152.79966719638122, "Unlinked Passenger Trips": 122935, "Passenger Paid Fares": 647763, - "Average Fare": 5.269150364013503 + "Average Fare": 5.269150364013503, + "Average Passengers": 8.202516376270326 }, { "NTD ID": 40180, @@ -5843,7 +6313,8 @@ "Electric (Wh/pkm)": 640.839441983884, "Unlinked Passenger Trips": 10206, "Passenger Paid Fares": 14225, - "Average Fare": 1.393787967862042 + "Average Fare": 1.393787967862042, + "Average Passengers": 0.2558129341894764 }, { "NTD ID": 40180, @@ -5855,7 +6326,8 @@ "All Fuels (Wh/pkm)": 1693.9588873766893, "Unlinked Passenger Trips": 5981726, "Passenger Paid Fares": 8335672, - "Average Fare": 1.3935228728296816 + "Average Fare": 1.3935228728296816, + "Average Passengers": 8.478450117900497 }, { "NTD ID": 40185, @@ -5863,7 +6335,8 @@ "UACE Code": "67305", "Unlinked Passenger Trips": 58150, "Passenger Paid Fares": 26545, - "Average Fare": 0.45649183147033534 + "Average Fare": 0.45649183147033534, + "Average Passengers": 1.931648540354894 }, { "NTD ID": 40185, @@ -5875,7 +6348,8 @@ "All Fuels (Wh/pkm)": 773.294298290801, "Unlinked Passenger Trips": 394977, "Passenger Paid Fares": 404263, - "Average Fare": 1.023510229709578 + "Average Fare": 1.023510229709578, + "Average Passengers": 4.240468655963036 }, { "NTD ID": 40191, @@ -5887,7 +6361,8 @@ "All Fuels (Wh/pkm)": 1870.1495955941277, "Unlinked Passenger Trips": 128125, "Passenger Paid Fares": 2015051, - "Average Fare": 15.72722731707317 + "Average Fare": 15.72722731707317, + "Average Passengers": 0.9269125785917286 }, { "NTD ID": 40191, @@ -5897,7 +6372,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 225.3290542699753, "All Fuels (Wh/pkm)": 225.3290542699753, - "Unlinked Passenger Trips": 32508 + "Unlinked Passenger Trips": 32508, + "Average Passengers": 13.008528198074277 }, { "NTD ID": 40191, @@ -5909,7 +6385,8 @@ "All Fuels (Wh/pkm)": 274.6424605692924, "Unlinked Passenger Trips": 35227, "Passenger Paid Fares": 197713, - "Average Fare": 5.61254151645045 + "Average Fare": 5.61254151645045, + "Average Passengers": 6.103086211576583 }, { "NTD ID": 40192, @@ -5917,7 +6394,8 @@ "UACE Code": "71479", "Unlinked Passenger Trips": 9923, "Passenger Paid Fares": 13638, - "Average Fare": 1.3743827471530787 + "Average Fare": 1.3743827471530787, + "Average Passengers": 1.2157080741923054 }, { "NTD ID": 40192, @@ -5929,7 +6407,8 @@ "All Fuels (Wh/pkm)": 4917.889247904329, "Unlinked Passenger Trips": 3798, "Passenger Paid Fares": 11388, - "Average Fare": 2.9984202211690363 + "Average Fare": 2.9984202211690363, + "Average Passengers": 0.6128731572104889 }, { "NTD ID": 40192, @@ -5937,7 +6416,8 @@ "UACE Code": "71479", "Unlinked Passenger Trips": 91775, "Passenger Paid Fares": 88939, - "Average Fare": 0.9690983383274312 + "Average Fare": 0.9690983383274312, + "Average Passengers": 1.5892833508109263 }, { "NTD ID": 40196, @@ -5950,7 +6430,8 @@ "All Fuels (Wh/pkm)": 285.21538764077854, "Unlinked Passenger Trips": 168818, "Passenger Paid Fares": 493687, - "Average Fare": 2.9243741781089696 + "Average Fare": 2.9243741781089696, + "Average Passengers": 5.004051022745177 }, { "NTD ID": 40200, @@ -5962,7 +6443,8 @@ "All Fuels (Wh/pkm)": 217.14816405986718, "Unlinked Passenger Trips": 293714, "Passenger Paid Fares": 1624084, - "Average Fare": 5.529474250461333 + "Average Fare": 5.529474250461333, + "Average Passengers": 4.336943696770658 }, { "NTD ID": 40208, @@ -5974,7 +6456,8 @@ "Diesel (Wh/pkm)": 600.3965659558961, "Electric (Wh/pkm)": 161.96730257593183, "All Fuels (Wh/pkm)": 426.20416307055393, - "Unlinked Passenger Trips": 899385 + "Unlinked Passenger Trips": 899385, + "Average Passengers": 8.797897100374643 }, { "NTD ID": 40222, @@ -5986,7 +6469,8 @@ "All Fuels (Wh/pkm)": 1792.7293262092735, "Unlinked Passenger Trips": 196041, "Passenger Paid Fares": 88312, - "Average Fare": 0.45047719609673487 + "Average Fare": 0.45047719609673487, + "Average Passengers": 1.0629015388642498 }, { "NTD ID": 40224, @@ -6000,7 +6484,8 @@ "All Fuels (Wh/pkm)": 2293.9429132027904, "Unlinked Passenger Trips": 115662, "Passenger Paid Fares": 91128, - "Average Fare": 0.7878819318358665 + "Average Fare": 0.7878819318358665, + "Average Passengers": 0.858881893371462 }, { "NTD ID": 40228, @@ -6012,7 +6497,8 @@ "All Fuels (Wh/pkm)": 2415.6203847043334, "Unlinked Passenger Trips": 63110, "Passenger Paid Fares": 1575, - "Average Fare": 0.024956425289177627 + "Average Fare": 0.024956425289177627, + "Average Passengers": 1.2658201770805413 }, { "NTD ID": 40232, @@ -6024,7 +6510,8 @@ "All Fuels (Wh/pkm)": 789.0170902702148, "Unlinked Passenger Trips": 1469654, "Passenger Paid Fares": 2914304, - "Average Fare": 1.982986471645707 + "Average Fare": 1.982986471645707, + "Average Passengers": 50.072167133757965 }, { "NTD ID": 40244, @@ -6035,7 +6522,8 @@ "All Fuels (Wh/pkm)": 5494.203419667641, "Unlinked Passenger Trips": 129108, "Passenger Paid Fares": 126476, - "Average Fare": 0.9796139666016048 + "Average Fare": 0.9796139666016048, + "Average Passengers": 1.146264628598205 }, { "NTD ID": 40247, @@ -6047,7 +6535,8 @@ "All Fuels (Wh/pkm)": 259.11919139021086, "Unlinked Passenger Trips": 67045, "Passenger Paid Fares": 366569, - "Average Fare": 5.4675068983518536 + "Average Fare": 5.4675068983518536, + "Average Passengers": 3.8001202041016584 }, { "NTD ID": 40258, @@ -6055,7 +6544,8 @@ "UACE Code": "86599", "Unlinked Passenger Trips": 19531, "Passenger Paid Fares": 6219, - "Average Fare": 0.3184168757360094 + "Average Fare": 0.3184168757360094, + "Average Passengers": 1.0509777132610367 }, { "NTD ID": 40264, @@ -6067,7 +6557,8 @@ "All Fuels (Wh/pkm)": 559.4431762601502, "Unlinked Passenger Trips": 1894119, "Passenger Paid Fares": 4972176, - "Average Fare": 2.6250599883111883 + "Average Fare": 2.6250599883111883, + "Average Passengers": 9.618758938397521 }, { "NTD ID": 40264, @@ -6079,7 +6570,8 @@ "All Fuels (Wh/pkm)": 202.501377853655, "Unlinked Passenger Trips": 681364, "Passenger Paid Fares": 3294226, - "Average Fare": 4.834752056169683 + "Average Fare": 4.834752056169683, + "Average Passengers": 5.764741827971908 }, { "NTD ID": 40265, @@ -6091,7 +6583,8 @@ "All Fuels (Wh/pkm)": 2268.3107977049976, "Unlinked Passenger Trips": 141928, "Passenger Paid Fares": 100310, - "Average Fare": 0.7067668113409616 + "Average Fare": 0.7067668113409616, + "Average Passengers": 1.0573278516018407 }, { "NTD ID": 40928, @@ -6103,7 +6596,8 @@ "All Fuels (Wh/pkm)": 1037.9983578056335, "Unlinked Passenger Trips": 133765, "Passenger Paid Fares": 387747, - "Average Fare": 2.8987179007961723 + "Average Fare": 2.8987179007961723, + "Average Passengers": 3.238170490628332 }, { "NTD ID": 40950, @@ -6116,7 +6610,8 @@ "All Fuels (Wh/pkm)": 1666.1240852186495, "Unlinked Passenger Trips": 162782, "Passenger Paid Fares": 358233, - "Average Fare": 2.20069172267204 + "Average Fare": 2.20069172267204, + "Average Passengers": 0.8084089818904173 }, { "NTD ID": 41068, @@ -6128,7 +6623,8 @@ "All Fuels (Wh/pkm)": 1595.4020755609445, "Unlinked Passenger Trips": 103139, "Passenger Paid Fares": 154912, - "Average Fare": 1.5019730654747476 + "Average Fare": 1.5019730654747476, + "Average Passengers": 2.0362454064521835 }, { "NTD ID": 41105, @@ -6140,13 +6636,15 @@ "All Fuels (Wh/pkm)": 2413.757581771685, "Unlinked Passenger Trips": 151344, "Passenger Paid Fares": 201778, - "Average Fare": 1.333240828840258 + "Average Fare": 1.333240828840258, + "Average Passengers": 1.2350088091710905 }, { "NTD ID": 44929, "Mode": "FB", "UACE Code": "56602", - "Unlinked Passenger Trips": 56420 + "Unlinked Passenger Trips": 56420, + "Average Passengers": 1.2045053003533568 }, { "NTD ID": 44929, @@ -6161,7 +6659,8 @@ "All Fuels (Wh/pkm)": 1496.8208957352795, "Unlinked Passenger Trips": 206113, "Passenger Paid Fares": 81657, - "Average Fare": 0.39617588410240984 + "Average Fare": 0.39617588410240984, + "Average Passengers": 3.722999474533648 }, { "NTD ID": 50001, @@ -6173,7 +6672,8 @@ "All Fuels (Wh/pkm)": 1365.3849372722188, "Unlinked Passenger Trips": 961978, "Passenger Paid Fares": 790740, - "Average Fare": 0.8219938501712097 + "Average Fare": 0.8219938501712097, + "Average Passengers": 3.885754689278925 }, { "NTD ID": 50002, @@ -6185,7 +6685,8 @@ "All Fuels (Wh/pkm)": 2630.9139916313934, "Unlinked Passenger Trips": 31879, "Passenger Paid Fares": 89885, - "Average Fare": 2.819567740518837 + "Average Fare": 2.819567740518837, + "Average Passengers": 0.9178839600623373 }, { "NTD ID": 50002, @@ -6197,7 +6698,8 @@ "All Fuels (Wh/pkm)": 1538.9156066476557, "Unlinked Passenger Trips": 1292700, "Passenger Paid Fares": 651902, - "Average Fare": 0.5042948866713081 + "Average Fare": 0.5042948866713081, + "Average Passengers": 3.171675508403316 }, { "NTD ID": 50003, @@ -6209,7 +6711,8 @@ "All Fuels (Wh/pkm)": 1231.4962232628654, "Unlinked Passenger Trips": 1339237, "Passenger Paid Fares": 1637783, - "Average Fare": 1.2229224550994335 + "Average Fare": 1.2229224550994335, + "Average Passengers": 3.7889978860909053 }, { "NTD ID": 50003, @@ -6217,7 +6720,8 @@ "UACE Code": "44506", "Unlinked Passenger Trips": 36658, "Passenger Paid Fares": 23146, - "Average Fare": 0.6314037863495008 + "Average Fare": 0.6314037863495008, + "Average Passengers": 3.5029825679040947 }, { "NTD ID": 50004, @@ -6229,7 +6733,8 @@ "All Fuels (Wh/pkm)": 1736.2570069561345, "Unlinked Passenger Trips": 905412, "Passenger Paid Fares": 537194, - "Average Fare": 0.5933144248143387 + "Average Fare": 0.5933144248143387, + "Average Passengers": 3.000148103610633 }, { "NTD ID": 50005, @@ -6241,7 +6746,8 @@ "All Fuels (Wh/pkm)": 555.7424799537896, "Unlinked Passenger Trips": 12856514, "Passenger Paid Fares": 11026897, - "Average Fare": 0.8576894949906327 + "Average Fare": 0.8576894949906327, + "Average Passengers": 8.574096322762006 }, { "NTD ID": 50006, @@ -6253,7 +6759,8 @@ "All Fuels 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Passengers": 2.757448104529333 }, { "NTD ID": 50010, @@ -6303,7 +6813,8 @@ "All Fuels (Wh/pkm)": 4015.529667047728, "Unlinked Passenger Trips": 276461, "Passenger Paid Fares": 637821, - "Average Fare": 2.3070921395784576 + "Average Fare": 2.3070921395784576, + "Average Passengers": 0.7171689626217761 }, { "NTD ID": 50010, @@ -6317,7 +6828,8 @@ "All Fuels (Wh/pkm)": 538.4293455606381, "Unlinked Passenger Trips": 5141660, "Passenger Paid Fares": 3328496, - "Average Fare": 0.647358246169525 + "Average Fare": 0.647358246169525, + "Average Passengers": 4.99881555366379 }, { "NTD ID": 50011, @@ -6331,7 +6843,8 @@ "All Fuels (Wh/pkm)": 738.7410549328628, "Unlinked Passenger Trips": 158983, "Passenger Paid Fares": 327067, - "Average Fare": 2.057245114257499 + "Average Fare": 2.057245114257499, + "Average Passengers": 0.9383613082628037 }, { "NTD ID": 50012, @@ -6343,7 +6856,8 @@ "All Fuels (Wh/pkm)": 1658.7782924685928, "Unlinked Passenger Trips": 226685, "Passenger Paid Fares": 935203, - "Average Fare": 4.125561903081368 + "Average Fare": 4.125561903081368, + "Average Passengers": 1.3833685853936624 }, { "NTD ID": 50012, @@ -6355,7 +6869,8 @@ "All Fuels (Wh/pkm)": 840.1271678114347, "Unlinked Passenger Trips": 13244916, "Passenger Paid Fares": 27066261, - "Average Fare": 2.0435207743106862 + "Average Fare": 2.0435207743106862, + "Average Passengers": 6.522899628735779 }, { "NTD ID": 50012, @@ -6367,7 +6882,8 @@ "All Fuels (Wh/pkm)": 698.3255479817343, "Unlinked Passenger Trips": 531592, "Passenger Paid Fares": 364167, - "Average Fare": 0.6850498126382639 + "Average Fare": 0.6850498126382639, + "Average Passengers": 8.677037722273615 }, { "NTD ID": 50015, @@ -6380,7 +6896,8 @@ "All Fuels (Wh/pkm)": 3322.311647693367, "Unlinked Passenger Trips": 576448, "Passenger Paid Fares": 1836904, - "Average Fare": 3.186590984789608 + "Average Fare": 3.186590984789608, + "Average Passengers": 0.7285833768385583 }, { "NTD ID": 50015, @@ -6388,7 +6905,8 @@ "UACE Code": "17668", 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50016, @@ -6436,7 +6957,8 @@ "All Fuels (Wh/pkm)": 3190.373896544032, "Unlinked Passenger Trips": 288690, "Passenger Paid Fares": 822880, - "Average Fare": 2.8503931552876787 + "Average Fare": 2.8503931552876787, + "Average Passengers": 0.7521475007727512 }, { "NTD ID": 50016, @@ -6450,7 +6972,8 @@ "All Fuels (Wh/pkm)": 754.6307225170808, "Unlinked Passenger Trips": 19141454, "Passenger Paid Fares": 18208917, - "Average Fare": 0.9512818096263742 + "Average Fare": 0.9512818096263742, + "Average Passengers": 4.412443322733616 }, { "NTD ID": 50017, @@ -6462,7 +6985,8 @@ "All Fuels (Wh/pkm)": 3380.3402741942227, "Unlinked Passenger Trips": 222955, "Passenger Paid Fares": 870163, - "Average Fare": 3.902863806597744 + "Average Fare": 3.902863806597744, + "Average Passengers": 0.9352973351251689 }, { "NTD ID": 50017, @@ -6474,7 +6998,8 @@ "All Fuels (Wh/pkm)": 570.4089245932985, "Unlinked Passenger Trips": 7146375, "Passenger Paid Fares": 7336611, - "Average Fare": 1.0266199296846303 + "Average Fare": 1.0266199296846303, + "Average Passengers": 8.04976762871131 }, { "NTD ID": 50017, @@ -6482,7 +7007,8 @@ "UACE Code": "22528", "Unlinked Passenger Trips": 2047285, "Passenger Paid Fares": 1132575, - "Average Fare": 0.5532082733962297 + "Average Fare": 0.5532082733962297, + "Average Passengers": 9.881410350234008 }, { "NTD ID": 50021, @@ -6497,7 +7023,8 @@ "All Fuels (Wh/pkm)": 1417.4023271200142, "Unlinked Passenger Trips": 75344, "Passenger Paid Fares": 139554, - "Average Fare": 1.8522244637927374 + "Average Fare": 1.8522244637927374, + "Average Passengers": 0.8765576418824026 }, { "NTD ID": 50022, @@ -6509,7 +7036,8 @@ "All Fuels (Wh/pkm)": 2309.5837242344896, "Unlinked Passenger Trips": 271051, "Passenger Paid Fares": 816674, - "Average Fare": 3.0129901752806667 + "Average Fare": 3.0129901752806667, + "Average Passengers": 1.1050728266484928 }, { "NTD ID": 50022, @@ -6523,7 +7051,8 @@ "All Fuels (Wh/pkm)": 1803.4939725785764, "Unlinked Passenger Trips": 1736208, 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"Average Passengers": 128.23949233224243 }, { "NTD ID": 50027, @@ -6625,7 +7161,8 @@ "All Fuels (Wh/pkm)": 89.29479505367226, "Unlinked Passenger Trips": 25299442, "Passenger Paid Fares": 26849240, - "Average Fare": 1.0612581890146036 + "Average Fare": 1.0612581890146036, + "Average Passengers": 50.872663703379736 }, { "NTD ID": 50027, @@ -6639,7 +7176,8 @@ "All Fuels (Wh/pkm)": 650.1287494341424, "Unlinked Passenger Trips": 51860027, "Passenger Paid Fares": 67315280, - "Average Fare": 1.2980186068935136 + "Average Fare": 1.2980186068935136, + "Average Passengers": 7.146624210530304 }, { "NTD ID": 50028, @@ -6651,7 +7189,8 @@ "All Fuels (Wh/pkm)": 676.2038637222895, "Unlinked Passenger Trips": 47147, "Passenger Paid Fares": 81974, - "Average Fare": 1.7386896303052155 + "Average Fare": 1.7386896303052155, + "Average Passengers": 6.946219290801473 }, { "NTD ID": 50028, @@ -6665,7 +7204,8 @@ "All Fuels (Wh/pkm)": 1638.105477357463, "Unlinked Passenger Trips": 152239, "Passenger Paid Fares": 391209, - "Average Fare": 2.5697029013590473 + "Average Fare": 2.5697029013590473, + "Average Passengers": 0.9210290846684507 }, { "NTD ID": 50028, @@ -6679,7 +7219,8 @@ "All Fuels (Wh/pkm)": 594.4482966517296, "Unlinked Passenger Trips": 1481377, "Passenger Paid Fares": 986338, - "Average Fare": 0.6658251073156934 + "Average Fare": 0.6658251073156934, + "Average Passengers": 3.349639598825796 }, { "NTD ID": 50029, @@ -6691,7 +7232,8 @@ "All Fuels (Wh/pkm)": 2555.781195172841, "Unlinked Passenger Trips": 67549, "Passenger Paid Fares": 142231, - "Average Fare": 2.1055974181705133 + "Average Fare": 2.1055974181705133, + "Average Passengers": 1.177511636071921 }, { "NTD ID": 50029, @@ -6703,7 +7245,8 @@ "All Fuels (Wh/pkm)": 998.2985565225158, "Unlinked Passenger Trips": 442368, "Passenger Paid Fares": 191327, - "Average Fare": 0.43250641999421297 + "Average Fare": 0.43250641999421297, + "Average Passengers": 3.595709458720878 }, { "NTD ID": 50031, @@ -6716,7 +7259,8 @@ "All Fuels 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"Average Passengers": 6.382068852822568 }, { "NTD ID": 50033, @@ -6772,7 +7319,8 @@ "All Fuels (Wh/pkm)": 1725.8012587951189, "Unlinked Passenger Trips": 347364, "Passenger Paid Fares": 1201793, - "Average Fare": 3.459751154408632 + "Average Fare": 3.459751154408632, + "Average Passengers": 1.9004275097994339 }, { "NTD ID": 50033, @@ -6786,7 +7334,8 @@ "All Fuels (Wh/pkm)": 719.7661662009215, "Unlinked Passenger Trips": 9242401, "Passenger Paid Fares": 4521928, - "Average Fare": 0.4892590139726679 + "Average Fare": 0.4892590139726679, + "Average Passengers": 5.548116265203574 }, { "NTD ID": 50033, @@ -6798,7 +7347,8 @@ "All Fuels (Wh/pkm)": 720.1485225832323, "Unlinked Passenger Trips": 850726, "Passenger Paid Fares": 893262, - "Average Fare": 1.0499996473600195 + "Average Fare": 1.0499996473600195, + "Average Passengers": 6.310989149634116 }, { "NTD ID": 50033, @@ -6810,7 +7360,8 @@ "All Fuels (Wh/pkm)": 327.1105562869297, "Unlinked Passenger Trips": 31604, "Passenger Paid Fares": 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Passengers": 3.3888765321574668 }, { "NTD ID": 50040, @@ -6910,7 +7468,8 @@ "UACE Code": "02602", "Unlinked Passenger Trips": 122391, "Passenger Paid Fares": 1118849, - "Average Fare": 9.14159537874517 + "Average Fare": 9.14159537874517, + "Average Passengers": 7.178308650184368 }, { "NTD ID": 50040, @@ -6920,7 +7479,8 @@ "Diesel (Wh/pkm)": 2693.288935398943, "Unlinked Passenger Trips": 184393, "Passenger Paid Fares": 712165, - "Average Fare": 3.862212773803778 + "Average Fare": 3.862212773803778, + "Average Passengers": 1.0191150023285538 }, { "NTD ID": 50040, @@ -6932,7 +7492,8 @@ "All Fuels (Wh/pkm)": 840.8937120512965, "Unlinked Passenger Trips": 6383790, "Passenger Paid Fares": 1948509, - "Average Fare": 0.30522761557006106 + "Average Fare": 0.30522761557006106, + "Average Passengers": 5.693857925899469 }, { "NTD ID": 50040, @@ -6944,7 +7505,8 @@ "All Fuels (Wh/pkm)": 282.6063954583491, "Unlinked Passenger Trips": 246575, "Passenger Paid Fares": 919805, - "Average Fare": 3.7303254587853596 + "Average Fare": 3.7303254587853596, + "Average Passengers": 4.500062702308731 }, { "NTD ID": 50043, @@ -6958,7 +7520,8 @@ "All Fuels (Wh/pkm)": 4541.142909574303, "Unlinked Passenger Trips": 63658, "Passenger Paid Fares": 331609, - "Average Fare": 5.209227434100977 + "Average Fare": 5.209227434100977, + "Average Passengers": 1.0551771912688976 }, { "NTD ID": 50043, @@ -6970,7 +7533,8 @@ "All Fuels (Wh/pkm)": 980.3361358757709, "Unlinked Passenger Trips": 1209953, "Passenger Paid Fares": 875630, - "Average Fare": 0.7236892672690592 + "Average Fare": 0.7236892672690592, + "Average Passengers": 3.929828785684457 }, { "NTD ID": 50044, @@ -6984,7 +7548,8 @@ "All Fuels (Wh/pkm)": 678.1813699313008, "Unlinked Passenger Trips": 75804, "Passenger Paid Fares": 180717, - "Average Fare": 2.3840034826658223 + "Average Fare": 2.3840034826658223, + "Average Passengers": 1.1693435107854133 }, { "NTD ID": 50044, @@ -6992,7 +7557,8 @@ "UACE Code": "31087", "Unlinked Passenger 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0.2355715127046185, + "Average Passengers": 7.681291904363174 }, { "NTD ID": 50051, @@ -7091,7 +7664,8 @@ "All Fuels (Wh/pkm)": 418.75496797210684, "Unlinked Passenger Trips": 31466, "Passenger Paid Fares": 33399, - "Average Fare": 1.0614313862581835 + "Average Fare": 1.0614313862581835, + "Average Passengers": 1.4924736942797014 }, { "NTD ID": 50051, @@ -7105,7 +7679,8 @@ "All Fuels (Wh/pkm)": 419.14900350589187, "Unlinked Passenger Trips": 5068309, "Passenger Paid Fares": 521739, - "Average Fare": 0.1029414347073156 + "Average Fare": 0.1029414347073156, + "Average Passengers": 7.029300074167452 }, { "NTD ID": 50052, @@ -7119,7 +7694,8 @@ "All Fuels (Wh/pkm)": 2103.100613270235, "Unlinked Passenger Trips": 86081, "Passenger Paid Fares": 158740, - "Average Fare": 1.8440770901825025 + "Average Fare": 1.8440770901825025, + "Average Passengers": 1.4811753083556523 }, { "NTD ID": 50052, @@ -7133,7 +7709,8 @@ "All Fuels (Wh/pkm)": 849.519887936596, "Unlinked Passenger Trips": 1510091, "Passenger Paid Fares": 1138507, - "Average Fare": 0.7539327100154891 + "Average Fare": 0.7539327100154891, + "Average Passengers": 3.6174159536671735 }, { "NTD ID": 50053, @@ -7145,7 +7722,8 @@ "All Fuels (Wh/pkm)": 3841.0912027227996, "Unlinked Passenger Trips": 17095, "Passenger Paid Fares": 28464, - "Average Fare": 1.6650482597250658 + "Average Fare": 1.6650482597250658, + "Average Passengers": 1.0000332038383637 }, { "NTD ID": 50053, @@ -7153,7 +7731,8 @@ "UACE Code": "87139", "Unlinked Passenger Trips": 220772, "Passenger Paid Fares": 94673, - "Average Fare": 0.42882702516623483 + "Average Fare": 0.42882702516623483, + "Average Passengers": 0.997317694449381 }, { "NTD ID": 50054, @@ -7164,7 +7743,8 @@ "All Fuels (Wh/pkm)": 3727.806650740778, "Unlinked Passenger Trips": 55889, "Passenger Paid Fares": 53764, - "Average Fare": 0.9619782068027698 + "Average Fare": 0.9619782068027698, + "Average Passengers": 0.986711371139489 }, { "NTD ID": 50054, @@ -7176,7 +7756,8 @@ "All Fuels (Wh/pkm)": 772.726215756994, "Unlinked Passenger Trips": 1352341, "Passenger Paid Fares": 174325, - "Average Fare": 0.12890609690898966 + "Average Fare": 0.12890609690898966, + "Average Passengers": 5.7724637207991885 }, { "NTD ID": 50056, @@ -7188,7 +7769,8 @@ "All Fuels (Wh/pkm)": 2484.021321143253, "Unlinked Passenger Trips": 168988, "Passenger Paid Fares": 314012, - "Average Fare": 1.8581911141619523 + "Average Fare": 1.8581911141619523, + "Average Passengers": 0.8990165404862838 }, { "NTD ID": 50056, @@ -7200,7 +7782,8 @@ "All Fuels (Wh/pkm)": 647.7200881084897, "Unlinked Passenger Trips": 2581334, "Passenger Paid Fares": 1520291, - "Average Fare": 0.5889555555383379 + "Average Fare": 0.5889555555383379, + "Average Passengers": 7.120908317181111 }, { "NTD ID": 50057, @@ -7212,7 +7795,8 @@ "All Fuels (Wh/pkm)": 1051.6800716620598, "Unlinked Passenger Trips": 65311, "Passenger Paid Fares": 50816, - "Average Fare": 0.7780618885027024 + "Average Fare": 0.7780618885027024, + "Average Passengers": 1.9442812198551154 }, { "NTD ID": 50057, @@ -7224,7 +7808,8 @@ "All Fuels (Wh/pkm)": 842.070656878115, "Unlinked Passenger Trips": 31314, "Passenger Paid Fares": 154805, - "Average Fare": 4.943635434629878 + "Average Fare": 4.943635434629878, + "Average Passengers": 17.090048240128638 }, { "NTD ID": 50057, @@ -7240,7 +7825,8 @@ "All Fuels (Wh/pkm)": 278.7283663129281, "Unlinked Passenger Trips": 3127655, "Passenger Paid Fares": 808621, - "Average Fare": 0.2585390652101974 + "Average Fare": 0.2585390652101974, + "Average Passengers": 6.0823063480823265 }, { "NTD ID": 50058, @@ -7254,7 +7840,8 @@ "All Fuels (Wh/pkm)": 2619.9874907458943, "Unlinked Passenger Trips": 131278, "Passenger Paid Fares": 286359, - "Average Fare": 2.181317509407517 + "Average Fare": 2.181317509407517, + "Average Passengers": 1.0667446762501238 }, { "NTD ID": 50058, @@ -7266,7 +7853,8 @@ "All Fuels (Wh/pkm)": 1128.7191510341222, "Unlinked Passenger Trips": 1519254, "Passenger Paid Fares": 981020, - "Average Fare": 0.645724809676328 + "Average Fare": 0.645724809676328, + "Average Passengers": 5.459280480196351 }, { "NTD ID": 50059, @@ -7278,7 +7866,8 @@ "All Fuels (Wh/pkm)": 3045.872535052705, "Unlinked Passenger Trips": 86085, "Passenger Paid Fares": 241038, - "Average Fare": 2.8 + "Average Fare": 2.8, + "Average Passengers": 1.1092488408037093 }, { "NTD ID": 50059, @@ -7294,7 +7883,8 @@ "All Fuels (Wh/pkm)": 1152.778485508398, "Unlinked Passenger Trips": 1487090, "Passenger Paid Fares": 757150, - "Average Fare": 0.5091487401569508 + "Average Fare": 0.5091487401569508, + "Average Passengers": 3.3133244774976123 }, { "NTD ID": 50060, @@ -7306,7 +7896,8 @@ "All Fuels (Wh/pkm)": 3623.893185718105, "Unlinked Passenger Trips": 131012, "Passenger Paid Fares": 358000, - "Average Fare": 2.7325741153482124 + "Average Fare": 2.7325741153482124, + "Average Passengers": 1.5410974609305337 }, { "NTD ID": 50060, @@ -7318,7 +7909,8 @@ "All Fuels (Wh/pkm)": 651.5170505659048, "Unlinked Passenger Trips": 11489825, "Passenger Paid Fares": 7019753, - "Average Fare": 0.6109538657029154 + "Average Fare": 0.6109538657029154, + "Average Passengers": 6.236775457500596 }, { "NTD ID": 50061, @@ -7332,7 +7924,8 @@ "All Fuels (Wh/pkm)": 4892.882136587532, "Unlinked Passenger Trips": 19385, "Passenger Paid Fares": 36998, - "Average Fare": 1.9085891152953314 + "Average Fare": 1.9085891152953314, + "Average Passengers": 0.6805471204879723 }, { "NTD ID": 50061, @@ -7344,7 +7937,8 @@ "All Fuels (Wh/pkm)": 1389.446587352976, "Unlinked Passenger Trips": 1100408, "Passenger Paid Fares": 474365, - "Average Fare": 0.43108101722270287 + "Average Fare": 0.43108101722270287, + "Average Passengers": 3.338050548011406 }, { "NTD ID": 50066, @@ -7356,7 +7950,8 @@ "All Fuels (Wh/pkm)": 33.24066685760953, "Unlinked Passenger Trips": 218467141, "Passenger Paid Fares": 290608021, - "Average Fare": 1.3302138695539574 + "Average Fare": 1.3302138695539574, + "Average Passengers": 112.62752669138031 }, { "NTD ID": 50066, @@ -7368,7 +7963,8 @@ "All Fuels (Wh/pkm)": 708.7256434631993, "Unlinked Passenger Trips": 237276400, "Passenger Paid Fares": 258688583, - "Average Fare": 1.0902415200163185 + "Average Fare": 1.0902415200163185, + "Average Passengers": 9.932325197973986 }, { "NTD ID": 50092, @@ -7380,7 +7976,8 @@ "All Fuels (Wh/pkm)": 3287.1658854598445, "Unlinked Passenger Trips": 23244, "Passenger Paid Fares": 77923, - "Average Fare": 3.352392015143693 + "Average Fare": 3.352392015143693, + "Average Passengers": 0.6995549904640813 }, { "NTD ID": 50092, @@ -7392,7 +7989,8 @@ "All Fuels (Wh/pkm)": 1032.0817889604384, "Unlinked Passenger Trips": 2116610, "Passenger Paid Fares": 3356882, - "Average Fare": 1.585970963002159 + "Average Fare": 1.585970963002159, + "Average Passengers": 4.03832089130513 }, { "NTD ID": 50096, @@ -7404,7 +8002,8 @@ "All Fuels (Wh/pkm)": 4453.132054938783, "Unlinked Passenger Trips": 14712, "Passenger Paid Fares": 61376, - "Average Fare": 4.171832517672648 + "Average Fare": 4.171832517672648, + "Average Passengers": 0.9148122571402068 }, { "NTD ID": 50096, @@ -7416,7 +8015,8 @@ "All Fuels (Wh/pkm)": 1966.4544285100103, "Unlinked Passenger Trips": 809707, "Passenger Paid Fares": 820673, - "Average Fare": 1.013543170554287 + "Average Fare": 1.013543170554287, + "Average Passengers": 3.2429334690816045 }, { "NTD ID": 50099, @@ -7428,7 +8028,8 @@ "All Fuels (Wh/pkm)": 1440.5037595404824, "Unlinked Passenger Trips": 863647, "Passenger Paid Fares": 841543, - "Average Fare": 0.9744062099445723 + "Average Fare": 0.9744062099445723, + "Average Passengers": 3.0779619167714016 }, { "NTD ID": 50104, @@ -7440,7 +8041,8 @@ "All Fuels (Wh/pkm)": 23.253629907007852, "Unlinked Passenger Trips": 3283603, "Passenger Paid Fares": 22509224, - "Average Fare": 6.855038200415824 + "Average Fare": 6.855038200415824, + "Average Passengers": 138.9320541546602 }, { "NTD ID": 50110, @@ -7452,7 +8054,8 @@ "All Fuels (Wh/pkm)": 3102.0872323006724, "Unlinked Passenger Trips": 38566, "Passenger Paid Fares": 40833, - "Average Fare": 1.0587823471451538 + "Average Fare": 1.0587823471451538, + "Average Passengers": 1.1106456251220422 }, { "NTD ID": 50110, @@ -7466,7 +8069,8 @@ "All Fuels (Wh/pkm)": 971.9802274718502, "Unlinked Passenger Trips": 3159071, "Passenger Paid Fares": 460324, - "Average Fare": 0.14571499026137746 + "Average Fare": 0.14571499026137746, + "Average Passengers": 6.388297580380348 }, { "NTD ID": 50113, @@ -7480,7 +8084,8 @@ "All Fuels (Wh/pkm)": 823.1697223116752, "Unlinked Passenger Trips": 884866, "Passenger Paid Fares": 1445400, - "Average Fare": 1.6334676662907153 + "Average Fare": 1.6334676662907153, + "Average Passengers": 1.2730933577181485 }, { "NTD ID": 50113, @@ -7494,7 +8099,8 @@ "All Fuels (Wh/pkm)": 782.1797510257455, "Unlinked Passenger Trips": 26191884, "Passenger Paid Fares": 30880427, - "Average Fare": 1.1790074742236947 + "Average Fare": 1.1790074742236947, + "Average Passengers": 5.49572441286821 }, { "NTD ID": 50113, @@ -7506,7 +8112,8 @@ "All Fuels (Wh/pkm)": 297.68101253872095, "Unlinked Passenger Trips": 1361264, "Passenger Paid Fares": 2279411, - "Average Fare": 1.6744812174567167 + "Average Fare": 1.6744812174567167, + "Average Passengers": 4.5460443070867775 }, { "NTD ID": 50117, @@ -7518,7 +8125,8 @@ "All Fuels (Wh/pkm)": 623.6442344636547, "Unlinked Passenger Trips": 142673, "Passenger Paid Fares": 496053, - "Average Fare": 3.4768526630827137 + "Average Fare": 3.4768526630827137, + "Average Passengers": 5.997895330905744 }, { "NTD ID": 50117, @@ -7533,7 +8141,8 @@ "All Fuels (Wh/pkm)": 1922.5269767770965, "Unlinked Passenger Trips": 274177, "Passenger Paid Fares": 505006, - "Average Fare": 1.8418977521819846 + "Average Fare": 1.8418977521819846, + "Average Passengers": 0.9480591318850792 }, { "NTD ID": 50118, @@ -7547,7 +8156,8 @@ "All Fuels (Wh/pkm)": 297.8269849522235, "Unlinked Passenger Trips": 61456663, "Passenger Paid Fares": 365935097, - "Average Fare": 5.954360017887727 + "Average Fare": 5.954360017887727, + "Average Passengers": 190.5692042522373 }, { "NTD ID": 50119, @@ -7559,7 +8169,8 @@ "All Fuels (Wh/pkm)": 750.1019494984645, "Unlinked Passenger Trips": 22394860, "Passenger Paid Fares": 18146878, - "Average Fare": 0.8103144203625297 + "Average Fare": 0.8103144203625297, + "Average Passengers": 7.48891247606995 }, { "NTD ID": 50141, @@ -7571,7 +8182,8 @@ "All Fuels (Wh/pkm)": 562.9146701030736, "Unlinked Passenger Trips": 1735852, "Passenger Paid Fares": 1044769, - "Average Fare": 0.6018767729046025 + "Average Fare": 0.6018767729046025, + "Average Passengers": 9.462450030811041 }, { "NTD ID": 50145, @@ -7583,7 +8195,8 @@ "Gasoline (Wh/pkm)": 3787.3839467124135, "Diesel (Wh/pkm)": 3733.9581303584496, "All Fuels (Wh/pkm)": 3779.8416505277232, - "Unlinked Passenger Trips": 104425 + "Unlinked Passenger Trips": 104425, + "Average Passengers": 0.796832255719871 }, { "NTD ID": 50145, @@ -7593,7 +8206,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 437.16299582005917, "All Fuels (Wh/pkm)": 437.16299582005917, - "Unlinked Passenger Trips": 356762 + "Unlinked Passenger Trips": 356762, + "Average Passengers": 9.456239880356458 }, { "NTD ID": 50146, @@ -7605,7 +8219,8 @@ "All Fuels (Wh/pkm)": 2153.366004227526, "Unlinked Passenger Trips": 55815, "Passenger Paid Fares": 194302, - "Average Fare": 3.481178894562394 + "Average Fare": 3.481178894562394, + "Average Passengers": 1.0141096240531624 }, { "NTD ID": 50146, @@ -7619,7 +8234,8 @@ "All Fuels (Wh/pkm)": 1473.451402744758, "Unlinked Passenger Trips": 2012495, "Passenger Paid Fares": 2342949, - "Average Fare": 1.164201153294791 + "Average Fare": 1.164201153294791, + "Average Passengers": 2.8571554365364045 }, { "NTD ID": 50146, @@ -7631,7 +8247,8 @@ "All Fuels (Wh/pkm)": 308.54140724130036, "Unlinked Passenger Trips": 98734, "Passenger Paid Fares": 590384, - "Average Fare": 5.979540988919724 + "Average Fare": 5.979540988919724, + "Average Passengers": 4.502012688973724 }, { "NTD ID": 50148, @@ -7643,7 +8260,8 @@ "All Fuels (Wh/pkm)": 1356.295563440558, "Unlinked Passenger Trips": 603878, "Passenger Paid Fares": 104957, - "Average Fare": 0.1738049738523344 + "Average Fare": 0.1738049738523344, + "Average Passengers": 1.9832102105266816 }, { "NTD ID": 50148, @@ -7655,7 +8273,8 @@ "All Fuels (Wh/pkm)": 148.2809370032518, "Unlinked Passenger Trips": 906810, "Passenger Paid Fares": 296462, - "Average Fare": 0.326928463514959 + "Average Fare": 0.326928463514959, + "Average Passengers": 7.295392569238469 }, { "NTD ID": 50149, @@ -7667,7 +8286,8 @@ "All Fuels (Wh/pkm)": 2712.6146896454297, "Unlinked Passenger Trips": 40306, "Passenger Paid Fares": 72836, - "Average Fare": 1.8070758695975786 + "Average Fare": 1.8070758695975786, + "Average Passengers": 0.5352823455715535 }, { "NTD ID": 50149, @@ -7679,7 +8299,8 @@ "All Fuels (Wh/pkm)": 1048.1715403682633, "Unlinked Passenger Trips": 441078, "Passenger Paid Fares": 245658, - "Average Fare": 0.5569491110415845 + "Average Fare": 0.5569491110415845, + "Average Passengers": 3.505681410717092 }, { "NTD ID": 50154, @@ -7691,7 +8312,8 @@ "All Fuels (Wh/pkm)": 2779.7777552998505, "Unlinked Passenger Trips": 2573189, "Passenger Paid Fares": 7279904, - "Average Fare": 2.8291369192080333 + "Average Fare": 2.8291369192080333, + "Average Passengers": 1.0183439608770224 }, { "NTD ID": 50154, @@ -7705,7 +8327,8 @@ "All Fuels (Wh/pkm)": 1325.5674053140506, "Unlinked Passenger Trips": 2562349, "Passenger Paid Fares": 1024253, - "Average Fare": 0.39973204274671403 + "Average Fare": 0.39973204274671403, + "Average Passengers": 2.448142817960636 }, { "NTD ID": 50154, @@ -7717,7 +8340,8 @@ "All Fuels (Wh/pkm)": 376.499109726384, "Unlinked Passenger Trips": 108857, "Passenger Paid Fares": 531008, - "Average Fare": 4.878032648336809 + "Average Fare": 4.878032648336809, + "Average Passengers": 3.4977432667594064 }, { "NTD ID": 50157, @@ -7729,7 +8353,8 @@ "All Fuels (Wh/pkm)": 5331.112824111529, "Unlinked Passenger Trips": 30821, "Passenger Paid Fares": 57402, - "Average Fare": 1.8624314590701145 + "Average Fare": 1.8624314590701145, + "Average Passengers": 0.6528783998048543 }, { "NTD ID": 50157, @@ -7743,7 +8368,8 @@ "All Fuels (Wh/pkm)": 1079.467675875245, "Unlinked Passenger Trips": 577984, "Passenger Paid Fares": 434693, - "Average Fare": 0.7520848327981398 + "Average Fare": 0.7520848327981398, + "Average Passengers": 2.3922231275582875 }, { "NTD ID": 50158, @@ -7753,7 +8379,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 462.672114011729, "All Fuels (Wh/pkm)": 462.672114011729, - "Unlinked Passenger Trips": 7355679 + "Unlinked Passenger Trips": 7355679, + "Average Passengers": 10.745403433262313 }, { "NTD ID": 50159, @@ -7766,7 +8393,8 @@ "All Fuels (Wh/pkm)": 1148.2924462685962, "Unlinked Passenger Trips": 19135, "Passenger Paid Fares": 10084, - "Average Fare": 0.5269924222628691 + "Average Fare": 0.5269924222628691, + "Average Passengers": 1.3161804441623277 }, { "NTD ID": 50159, @@ -7780,7 +8408,8 @@ "All Fuels (Wh/pkm)": 847.5561178935485, "Unlinked Passenger Trips": 629245, "Passenger Paid Fares": 280461, - "Average Fare": 0.44571033540194993 + "Average Fare": 0.44571033540194993, + "Average Passengers": 4.733512066976013 }, { "NTD ID": 50160, @@ -7792,7 +8421,8 @@ "All Fuels (Wh/pkm)": 2809.8792985533123, "Unlinked Passenger Trips": 87750, "Passenger Paid Fares": 266144, - "Average Fare": 3.032980056980057 + "Average Fare": 3.032980056980057, + "Average Passengers": 0.8161423226187913 }, { "NTD ID": 50161, @@ -7804,7 +8434,8 @@ "All Fuels (Wh/pkm)": 2314.9803635203334, "Unlinked Passenger Trips": 107706, "Passenger Paid Fares": 295113, - "Average Fare": 2.7399866302712943 + "Average Fare": 2.7399866302712943, + "Average Passengers": 0.6395046575520622 }, { "NTD ID": 50163, @@ -7818,7 +8449,8 @@ "All Fuels (Wh/pkm)": 2454.1381857802367, "Unlinked Passenger Trips": 113893, "Passenger Paid Fares": 136992, - "Average Fare": 1.2028131667442248 + "Average Fare": 1.2028131667442248, + "Average Passengers": 0.8993761100526366 }, { "NTD ID": 50165, @@ -7830,7 +8462,8 @@ "All Fuels (Wh/pkm)": 1556.0075849572552, "Unlinked Passenger Trips": 126340, "Passenger Paid Fares": 101809, - "Average Fare": 0.8058334652524932 + "Average Fare": 0.8058334652524932, + "Average Passengers": 1.594994477837011 }, { "NTD ID": 50169, @@ -7842,7 +8475,8 @@ "All Fuels (Wh/pkm)": 3617.459466858542, "Unlinked Passenger Trips": 43924, "Passenger Paid Fares": 98907, - "Average Fare": 2.25177579455423 + "Average Fare": 2.25177579455423, + "Average Passengers": 0.746016210047564 }, { "NTD ID": 50176, @@ -7856,7 +8490,8 @@ "All Fuels (Wh/pkm)": 714.8115932663812, "Unlinked Passenger Trips": 509527, "Passenger Paid Fares": 24715, - "Average Fare": 0.04850577103862994 + "Average Fare": 0.04850577103862994, + "Average Passengers": 3.5550157874174606 }, { "NTD ID": 50182, @@ -7870,7 +8505,8 @@ "All Fuels (Wh/pkm)": 1896.14494783991, "Unlinked Passenger Trips": 3566500, "Passenger Paid Fares": 7632935, - "Average Fare": 2.1401752418337305 + "Average Fare": 2.1401752418337305, + "Average Passengers": 0.9707559597135506 }, { "NTD ID": 50184, @@ -7884,7 +8520,8 @@ "All Fuels (Wh/pkm)": 1758.1553941608972, "Unlinked Passenger Trips": 82127, "Passenger Paid Fares": 125337, - "Average Fare": 1.5261363497997005 + "Average Fare": 1.5261363497997005, + "Average Passengers": 0.9625084894730533 }, { "NTD ID": 50191, @@ -7896,7 +8533,8 @@ "All Fuels (Wh/pkm)": 331.05889725309436, "Unlinked Passenger Trips": 68688, "Passenger Paid Fares": 384216, - "Average Fare": 5.593640810621943 + "Average Fare": 5.593640810621943, + "Average Passengers": 5.457369338654062 }, { "NTD ID": 50193, @@ -7908,7 +8546,8 @@ "All Fuels (Wh/pkm)": 348.0073002454257, "Unlinked Passenger Trips": 871514, "Passenger Paid Fares": 3764568, - "Average Fare": 4.319572605833067 + "Average Fare": 4.319572605833067, + "Average Passengers": 4.760656141087727 }, { "NTD ID": 50198, @@ -7922,7 +8561,8 @@ "All Fuels (Wh/pkm)": 1834.1170814949107, "Unlinked Passenger Trips": 35815, "Passenger Paid Fares": 32407, - "Average Fare": 0.9048443389641212 + "Average Fare": 0.9048443389641212, + "Average Passengers": 1.1272110382266456 }, { "NTD ID": 50198, @@ -7932,7 +8572,8 @@ "Gasoline (Wh/pkm)": 524.4054886656445, "Unlinked Passenger Trips": 38897, "Passenger Paid Fares": 13846, - "Average Fare": 0.3559657557138083 + "Average Fare": 0.3559657557138083, + "Average Passengers": 1.4184931113212575 }, { "NTD ID": 50199, @@ -7942,7 +8583,8 @@ "Diesel (Wh/pkm)": 2653.4088224262428, "Unlinked Passenger Trips": 23561, "Passenger Paid Fares": 38856, - "Average Fare": 1.6491659946521795 + "Average Fare": 1.6491659946521795, + "Average Passengers": 0.5787042504445472 }, { "NTD ID": 50199, @@ -7954,7 +8596,8 @@ "All Fuels (Wh/pkm)": 1722.1593384013588, "Unlinked Passenger Trips": 49616, "Passenger Paid Fares": 36225, - "Average Fare": 0.730107223476298 + "Average Fare": 0.730107223476298, + "Average Passengers": 1.1911105577689243 }, { "NTD ID": 50209, @@ -7966,7 +8609,8 @@ "All Fuels (Wh/pkm)": 240.65563677907562, "Unlinked Passenger Trips": 83344, "Passenger Paid Fares": 259377, - "Average Fare": 3.1121256479170665 + "Average Fare": 3.1121256479170665, + "Average Passengers": 6.640376258044542 }, { "NTD ID": 50213, @@ -7978,7 +8622,8 @@ "All Fuels (Wh/pkm)": 849.1079691742761, "Unlinked Passenger Trips": 1169213, "Passenger Paid Fares": 475129, - "Average Fare": 0.40636650464885354 + "Average Fare": 0.40636650464885354, + "Average Passengers": 10.736104635175685 }, { "NTD ID": 50342, @@ -7990,7 +8635,8 @@ "All Fuels (Wh/pkm)": 1831.6212640358651, "Unlinked Passenger Trips": 59450, "Passenger Paid Fares": 47870, - "Average Fare": 0.8052144659377628 + "Average Fare": 0.8052144659377628, + "Average Passengers": 0.7222963876305946 }, { "NTD ID": 50515, @@ -8000,7 +8646,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2513.2726119509575, "All Fuels (Wh/pkm)": 2513.2726119509575, - "Unlinked Passenger Trips": 8452 + "Unlinked Passenger Trips": 8452, + "Average Passengers": 1.0365187386178474 }, { "NTD ID": 50515, @@ -8012,7 +8659,8 @@ "Gasoline (Wh/pkm)": 1748.8635690053577, "Diesel (Wh/pkm)": 1688.4030699363636, "All Fuels (Wh/pkm)": 1694.0421545901984, - "Unlinked Passenger Trips": 4078999 + "Unlinked Passenger Trips": 4078999, + "Average Passengers": 3.772023896619285 }, { "NTD ID": 50516, @@ -8026,7 +8674,8 @@ "All Fuels (Wh/pkm)": 524.5020343760723, "Unlinked Passenger Trips": 486822, "Passenger Paid Fares": 1100950, - "Average Fare": 2.2615042048222964 + "Average Fare": 2.2615042048222964, + "Average Passengers": 5.826785071876995 }, { "NTD ID": 50517, @@ -8038,7 +8687,8 @@ "All Fuels (Wh/pkm)": 3267.245949546376, "Unlinked Passenger Trips": 35797, "Passenger Paid Fares": 43093, - "Average Fare": 1.203815962231472 + "Average Fare": 1.203815962231472, + "Average Passengers": 0.8430417559581792 }, { "NTD ID": 50517, @@ -8050,7 +8700,8 @@ "All Fuels (Wh/pkm)": 67.09093784288251, "Unlinked Passenger Trips": 8802, "Passenger Paid Fares": 2178787, - "Average Fare": 247.53317427857306 + "Average Fare": 247.53317427857306, + "Average Passengers": 0.9554809426102095 }, { "NTD ID": 50518, @@ -8064,7 +8715,8 @@ "All Fuels (Wh/pkm)": 3264.764590585721, "Unlinked Passenger Trips": 108801, "Passenger Paid Fares": 260316, - "Average Fare": 2.392588303416329 + "Average Fare": 2.392588303416329, + "Average Passengers": 0.8640087834733653 }, { "NTD ID": 50518, @@ -8076,7 +8728,8 @@ "All Fuels (Wh/pkm)": 383.1991943184445, "Unlinked Passenger Trips": 998654, "Passenger Paid Fares": 2716999, - "Average Fare": 2.7206610097190818 + "Average Fare": 2.7206610097190818, + "Average Passengers": 12.803765642403198 }, { "NTD ID": 50519, @@ -8090,7 +8743,8 @@ "All Fuels (Wh/pkm)": 692.3748059769761, "Unlinked Passenger Trips": 2547655, "Passenger Paid Fares": 5776072, - "Average Fare": 2.267211219729516 + "Average Fare": 2.267211219729516, + "Average Passengers": 5.0013461543987905 }, { "NTD ID": 50521, @@ -8102,7 +8756,8 @@ "All Fuels (Wh/pkm)": 966.522068259965, "Unlinked Passenger Trips": 412966, "Passenger Paid Fares": 1556569, - "Average Fare": 3.7692425042255295 + "Average Fare": 3.7692425042255295, + "Average Passengers": 17.630492586416693 }, { "NTD ID": 50522, @@ -8110,7 +8765,8 @@ "UACE Code": "58357", "Unlinked Passenger Trips": 136312, "Passenger Paid Fares": 119947, - "Average Fare": 0.8799445389987676 + "Average Fare": 0.8799445389987676, + "Average Passengers": 1.5403929195654409 }, { "NTD ID": 50522, @@ -8122,7 +8778,8 @@ "All Fuels (Wh/pkm)": 661.033276217247, "Unlinked Passenger Trips": 292454, "Passenger Paid Fares": 138284, - "Average Fare": 0.4728401731554364 + "Average Fare": 0.4728401731554364, + "Average Passengers": 3.120061739100274 }, { "NTD ID": 55312, @@ -8132,7 +8789,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 777.0696072510798, "All Fuels (Wh/pkm)": 777.0696072510798, - "Unlinked Passenger Trips": 760321 + "Unlinked Passenger Trips": 760321, + "Average Passengers": 8.29557865069579 }, { "NTD ID": 60006, @@ -8144,7 +8802,8 @@ "All Fuels (Wh/pkm)": 814.2650067796757, "Unlinked Passenger Trips": 321393, "Passenger Paid Fares": 653956, - "Average Fare": 2.034754957326389 + "Average Fare": 2.034754957326389, + "Average Passengers": 0.9859798211325277 }, { "NTD ID": 60006, @@ -8156,7 +8815,8 @@ "All Fuels (Wh/pkm)": 171.6451763972464, "Unlinked Passenger Trips": 10969703, "Passenger Paid Fares": 7274468, - "Average Fare": 0.6631417459524657 + "Average Fare": 0.6631417459524657, + "Average Passengers": 9.840514110205879 }, { "NTD ID": 60006, @@ -8168,7 +8828,8 @@ "All Fuels (Wh/pkm)": 532.6130130603576, "Unlinked Passenger Trips": 222773, "Passenger Paid Fares": 48451, - "Average Fare": 0.2174904499198736 + "Average Fare": 0.2174904499198736, + "Average Passengers": 4.412646147118216 }, { "NTD ID": 60007, @@ -8180,7 +8841,8 @@ "All Fuels (Wh/pkm)": 3893.7733559851, "Unlinked Passenger Trips": 352459, "Passenger Paid Fares": 840159, - "Average Fare": 2.383707041102653 + "Average Fare": 2.383707041102653, + "Average Passengers": 1.0831026074541525 }, { "NTD ID": 60007, @@ -8196,7 +8858,8 @@ "All Fuels (Wh/pkm)": 540.9832992142833, "Unlinked Passenger Trips": 5066227, "Passenger Paid Fares": 6000334, - "Average Fare": 1.1843792234339283 + "Average Fare": 1.1843792234339283, + "Average Passengers": 3.450326508445405 }, { "NTD ID": 60008, @@ -8208,7 +8871,8 @@ "All Fuels (Wh/pkm)": 411.60267256805577, "Unlinked Passenger Trips": 7960339, "Passenger Paid Fares": 22189174, - "Average Fare": 2.787465960934578 + "Average Fare": 2.787465960934578, + "Average Passengers": 12.015715888962392 }, { "NTD ID": 60008, @@ -8220,7 +8884,8 @@ "All Fuels (Wh/pkm)": 5709.098203915435, "Unlinked Passenger Trips": 1786410, "Passenger Paid Fares": 1751202, - "Average Fare": 0.9802911985490453 + "Average Fare": 0.9802911985490453, + "Average Passengers": 0.8829739632560789 }, { "NTD ID": 60008, @@ -8232,7 +8897,8 @@ "All Fuels (Wh/pkm)": 158.71320206002923, "Unlinked Passenger Trips": 18556589, "Passenger Paid Fares": 4165514, - "Average Fare": 0.2244762763242749 + "Average Fare": 0.2244762763242749, + "Average Passengers": 24.084792020398954 }, { "NTD ID": 60008, @@ -8248,7 +8914,8 @@ "All Fuels (Wh/pkm)": 688.2071351041415, "Unlinked Passenger Trips": 59544025, "Passenger Paid Fares": 29394871, - "Average Fare": 0.4936661738940221 + "Average Fare": 0.4936661738940221, + "Average Passengers": 7.490400981828735 }, { "NTD ID": 60008, @@ -8260,7 +8927,8 @@ "All Fuels (Wh/pkm)": 211.0352291580599, "Unlinked Passenger Trips": 1791670, "Passenger Paid Fares": 6364414, - "Average Fare": 3.552224460977747 + "Average Fare": 3.552224460977747, + "Average Passengers": 7.008251476050095 }, { "NTD ID": 60009, @@ -8274,7 +8942,8 @@ "All Fuels (Wh/pkm)": 3901.612166821545, "Unlinked Passenger Trips": 45116, "Passenger Paid Fares": 61869, - "Average Fare": 1.3713316783402785 + "Average Fare": 1.3713316783402785, + "Average Passengers": 0.807985100145745 }, { "NTD ID": 60009, @@ -8288,7 +8957,8 @@ "All Fuels (Wh/pkm)": 1009.9510795023839, "Unlinked Passenger Trips": 2517520, "Passenger Paid Fares": 3700097, - "Average Fare": 1.4697388699990466 + "Average Fare": 1.4697388699990466, + "Average Passengers": 4.828915235900942 }, { "NTD ID": 60010, @@ -8302,7 +8972,8 @@ "All Fuels (Wh/pkm)": 2884.282327693953, "Unlinked Passenger Trips": 100041, "Passenger Paid Fares": 275076, - "Average Fare": 2.7496326506132487 + "Average Fare": 2.7496326506132487, + "Average Passengers": 1.096706364339321 }, { "NTD ID": 60010, @@ -8316,7 +8987,8 @@ "All Fuels (Wh/pkm)": 1442.1518150166573, "Unlinked Passenger Trips": 3442579, "Passenger Paid Fares": 432271, - "Average Fare": 0.12556603639306463 + "Average Fare": 0.12556603639306463, + "Average Passengers": 4.191480189257723 }, { "NTD ID": 60011, @@ -8329,7 +9001,8 @@ "All Fuels (Wh/pkm)": 2053.9061852490627, "Unlinked Passenger Trips": 1016450, "Passenger Paid Fares": 1902749, - "Average Fare": 1.8719553347434699 + "Average Fare": 1.8719553347434699, + "Average Passengers": 1.113778480258457 }, { "NTD ID": 60011, @@ -8344,7 +9017,8 @@ "All Fuels (Wh/pkm)": 395.9985058611778, "Unlinked Passenger Trips": 40962611, "Passenger Paid Fares": 17444217, - "Average Fare": 0.42585705779350835 + "Average Fare": 0.42585705779350835, + "Average Passengers": 6.046438745091122 }, { "NTD ID": 60011, @@ -8356,7 +9030,8 @@ "All Fuels (Wh/pkm)": 426.082479794241, "Unlinked Passenger Trips": 499290, "Passenger Paid Fares": 2530696, - "Average Fare": 5.06858939694366 + "Average Fare": 5.06858939694366, + "Average Passengers": 5.031558354644599 }, { "NTD ID": 60012, @@ -8370,7 +9045,8 @@ "All Fuels (Wh/pkm)": 885.7317333358218, "Unlinked Passenger Trips": 85276, "Passenger Paid Fares": 193693, - "Average Fare": 2.271365917725972 + "Average Fare": 2.271365917725972, + "Average Passengers": 0.8758413668304942 }, { "NTD ID": 60014, @@ -8383,7 +9059,8 @@ "All Fuels (Wh/pkm)": 849.1180854496733, "Unlinked Passenger Trips": 29287, "Passenger Paid Fares": 32321, - "Average Fare": 1.1035954519069895 + "Average Fare": 1.1035954519069895, + "Average Passengers": 0.8060585014893952 }, { "NTD ID": 60016, @@ -8393,7 +9070,8 @@ "CNG (Wh/pkm)": 2029.8726915750021, "Unlinked Passenger Trips": 22258, "Passenger Paid Fares": 39982, - "Average Fare": 1.7962979602839428 + "Average Fare": 1.7962979602839428, + "Average Passengers": 0.4411054429728085 }, { "NTD ID": 60016, @@ -8405,7 +9083,8 @@ "All Fuels (Wh/pkm)": 1003.5829138640767, "Unlinked Passenger Trips": 394094, "Passenger Paid Fares": 334329, - "Average Fare": 0.8483483635883825 + "Average Fare": 0.8483483635883825, + "Average Passengers": 1.8402851561635343 }, { "NTD ID": 60017, @@ -8417,7 +9096,8 @@ "All Fuels (Wh/pkm)": 3395.5793721264467, "Unlinked Passenger Trips": 56388, "Passenger Paid Fares": 190845, - "Average Fare": 3.384496701425835 + "Average Fare": 3.384496701425835, + "Average Passengers": 0.7562527969005743 }, { "NTD ID": 60017, @@ -8429,7 +9109,8 @@ "All Fuels (Wh/pkm)": 8319.547757654915, "Unlinked Passenger Trips": 3696, "Passenger Paid Fares": 10002, - "Average Fare": 2.706168831168831 + "Average Fare": 2.706168831168831, + "Average Passengers": 3.997920997920998 }, { "NTD ID": 60017, @@ -8443,7 +9124,8 @@ "All Fuels (Wh/pkm)": 856.8387213407217, "Unlinked Passenger Trips": 2921065, "Passenger Paid Fares": 2282124, - "Average Fare": 0.7812643676193444 + "Average Fare": 0.7812643676193444, + "Average Passengers": 4.791823423447555 }, { "NTD ID": 60017, @@ -8455,7 +9137,8 @@ "All Fuels (Wh/pkm)": 1897.0205637432107, "Unlinked Passenger Trips": 133760, "Passenger Paid Fares": 112082, - "Average Fare": 0.8379336124401914 + "Average Fare": 0.8379336124401914, + "Average Passengers": 4.742634832387698 }, { "NTD ID": 60017, @@ -8463,7 +9146,8 @@ "UACE Code": "65080", "Unlinked Passenger Trips": 4296, "Passenger Paid Fares": 12106, - "Average Fare": 2.8179702048417132 + "Average Fare": 2.8179702048417132, + "Average Passengers": 4.230403645833333 }, { "NTD ID": 60018, @@ -8477,7 +9161,8 @@ "All Fuels (Wh/pkm)": 1231.5480979518427, "Unlinked Passenger Trips": 104502, "Passenger Paid Fares": 143105, - "Average Fare": 1.36939962871524 + "Average Fare": 1.36939962871524, + "Average Passengers": 0.8681147491122552 }, { "NTD ID": 60018, @@ -8491,7 +9176,8 @@ "All Fuels (Wh/pkm)": 529.3498955682377, "Unlinked Passenger Trips": 2613078, "Passenger Paid Fares": 1856678, - "Average Fare": 0.7105329423767679 + "Average Fare": 0.7105329423767679, + "Average Passengers": 4.745039995046969 }, { "NTD ID": 60019, @@ -8503,7 +9189,8 @@ "All Fuels (Wh/pkm)": 2987.4068616515824, "Unlinked Passenger Trips": 258750, "Passenger Paid Fares": 416304, - "Average Fare": 1.608904347826087 + "Average Fare": 1.608904347826087, + "Average Passengers": 1.0416198824772818 }, { "NTD ID": 60019, @@ -8517,7 +9204,8 @@ "All Fuels (Wh/pkm)": 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0.7867566445233595 }, { "NTD ID": 60024, @@ -8575,7 +9266,8 @@ "All Fuels (Wh/pkm)": 303.3446535130158, "Unlinked Passenger Trips": 2546160, "Passenger Paid Fares": 1659243, - "Average Fare": 0.6516648600245075 + "Average Fare": 0.6516648600245075, + "Average Passengers": 6.552392631870341 }, { "NTD ID": 60032, @@ -8589,7 +9281,8 @@ "All Fuels (Wh/pkm)": 2418.010417800484, "Unlinked Passenger Trips": 229195, "Passenger Paid Fares": 376376, - "Average Fare": 1.6421649686947795 + "Average Fare": 1.6421649686947795, + "Average Passengers": 1.2744605389541672 }, { "NTD ID": 60032, @@ -8597,7 +9290,8 @@ "UACE Code": "62677", "Unlinked Passenger Trips": 844949, "Passenger Paid Fares": 1481659, - "Average Fare": 1.753548439018213 + "Average Fare": 1.753548439018213, + "Average Passengers": 26.09964786557114 }, { "NTD ID": 60032, @@ -8609,7 +9303,8 @@ "All Fuels (Wh/pkm)": 1104.4624153439527, "Unlinked Passenger Trips": 9953139, "Passenger Paid Fares": 11664422, - "Average Fare": 1.171933999917011 + "Average Fare": 1.171933999917011, + "Average Passengers": 5.813670955512849 }, { "NTD ID": 60032, @@ -8621,7 +9316,8 @@ "All Fuels (Wh/pkm)": 208.64650188625535, "Unlinked Passenger Trips": 5289326, "Passenger Paid Fares": 4976548, - "Average Fare": 0.940866189756502 + "Average Fare": 0.940866189756502, + "Average Passengers": 11.963978359445608 }, { "NTD ID": 60033, @@ -8633,7 +9329,8 @@ "All Fuels (Wh/pkm)": 3283.325284505075, "Unlinked Passenger Trips": 97721, "Passenger Paid Fares": 250617, - "Average Fare": 2.5646176359226778 + "Average Fare": 2.5646176359226778, + "Average Passengers": 0.9210414336214547 }, { "NTD ID": 60033, @@ -8647,7 +9344,8 @@ "All Fuels (Wh/pkm)": 897.7161199711117, "Unlinked Passenger Trips": 2340157, "Passenger Paid Fares": 1559677, - "Average Fare": 0.6664839153954201 + "Average Fare": 0.6664839153954201, + "Average Passengers": 4.350601060006978 }, { "NTD ID": 60033, @@ -8659,7 +9357,8 @@ "All Fuels (Wh/pkm)": 791.6693786390135, "Unlinked Passenger Trips": 126882, "Passenger Paid Fares": 9912, - "Average Fare": 0.07811982787156571 + "Average Fare": 0.07811982787156571, + "Average Passengers": 6.106878524986415 }, { "NTD ID": 60038, @@ -8671,7 +9370,8 @@ "All Fuels (Wh/pkm)": 1823.1753018394156, "Unlinked Passenger Trips": 34787, "Passenger Paid Fares": 43738, - "Average Fare": 1.257308764768448 + "Average Fare": 1.257308764768448, + "Average Passengers": 1.3482085225097096 }, { "NTD ID": 60038, @@ -8685,7 +9385,8 @@ "All Fuels (Wh/pkm)": 301.8002684007466, "Unlinked Passenger Trips": 1323621, "Passenger Paid Fares": 355381, - "Average Fare": 0.26849150927644694 + "Average Fare": 0.26849150927644694, + "Average Passengers": 8.906370615469363 }, { "NTD ID": 60041, @@ -8699,7 +9400,8 @@ "All Fuels (Wh/pkm)": 3108.217887844685, "Unlinked Passenger Trips": 43479, "Passenger Paid Fares": 56222, - "Average Fare": 1.2930840175717013 + "Average Fare": 1.2930840175717013, + "Average Passengers": 0.9667659071692771 }, { "NTD ID": 60048, @@ -8713,7 +9415,8 @@ "All Fuels (Wh/pkm)": 2469.2062397202494, "Unlinked Passenger Trips": 706883, "Passenger Paid Fares": 749550, - "Average Fare": 1.0603593522548993 + "Average Fare": 1.0603593522548993, + "Average Passengers": 0.8907595853017337 }, { "NTD ID": 60048, @@ -8725,7 +9428,8 @@ "All Fuels (Wh/pkm)": 967.7092976417654, "Unlinked Passenger Trips": 28313270, "Passenger Paid Fares": 9728234, - "Average Fare": 0.3435927393762713 + "Average Fare": 0.3435927393762713, + "Average Passengers": 6.537654781213977 }, { "NTD ID": 60048, @@ -8737,7 +9441,8 @@ "All Fuels (Wh/pkm)": 325.6302779813076, "Unlinked Passenger Trips": 548873, "Passenger Paid Fares": 1841440, - "Average Fare": 3.3549473193252357 + "Average Fare": 3.3549473193252357, + "Average Passengers": 4.7017223754857795 }, { "NTD ID": 60048, @@ -8749,7 +9454,8 @@ "All Fuels (Wh/pkm)": 256.1901904491249, "Unlinked Passenger Trips": 729507, "Passenger Paid Fares": 1524866, - "Average Fare": 2.0902691817898935 + "Average Fare": 2.0902691817898935, + "Average Passengers": 29.81050755145327 }, { "NTD ID": 60051, @@ -8765,7 +9471,8 @@ "All Fuels (Wh/pkm)": 670.3181148247235, "Unlinked Passenger Trips": 211013, "Passenger Paid Fares": 235421, - "Average Fare": 1.1156705984939317 + "Average Fare": 1.1156705984939317, + "Average Passengers": 1.1968304349485415 }, { "NTD ID": 60051, @@ -8779,7 +9486,8 @@ "All Fuels (Wh/pkm)": 377.5312326474994, "Unlinked Passenger Trips": 4975242, "Passenger Paid Fares": 1190762, - "Average Fare": 0.2393375035827403 + "Average Fare": 0.2393375035827403, + "Average Passengers": 5.164666449170972 }, { "NTD ID": 60051, @@ -8791,7 +9499,8 @@ "All Fuels (Wh/pkm)": 244.94992842093993, "Unlinked Passenger Trips": 63521, "Passenger Paid Fares": 263099, - "Average Fare": 4.141921569244817 + "Average Fare": 4.141921569244817, + "Average Passengers": 5.484751363618266 }, { "NTD ID": 60056, @@ -8803,7 +9512,8 @@ "All Fuels (Wh/pkm)": 389.65486102591785, "Unlinked Passenger Trips": 2006996, "Passenger Paid Fares": 8190826, - "Average Fare": 4.081137182136885 + "Average Fare": 4.081137182136885, + "Average Passengers": 59.84422279691964 }, { "NTD ID": 60056, @@ -8815,7 +9525,8 @@ "All Fuels (Wh/pkm)": 1191.1125225498506, "Unlinked Passenger Trips": 415034, "Passenger Paid Fares": 989079, - "Average Fare": 2.383127647373468 + "Average Fare": 2.383127647373468, + "Average Passengers": 1.0321870910700255 }, { "NTD ID": 60056, @@ -8827,7 +9538,8 @@ "All Fuels (Wh/pkm)": 179.51610227445136, "Unlinked Passenger Trips": 28335785, "Passenger Paid Fares": 23346804, - "Average Fare": 0.8239335525731861 + "Average Fare": 0.8239335525731861, + "Average Passengers": 40.96899952173732 }, { "NTD ID": 60056, @@ -8841,7 +9553,8 @@ "All Fuels (Wh/pkm)": 357.5986188439311, "Unlinked Passenger Trips": 37230755, "Passenger Paid Fares": 30659575, - "Average Fare": 0.8235012961730162 + "Average Fare": 0.8235012961730162, + "Average Passengers": 4.470496977545227 }, { "NTD ID": 60056, @@ -8851,7 +9564,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1190.8680316083082, "All Fuels (Wh/pkm)": 1190.8680316083082, - "Unlinked Passenger Trips": 226496 + "Unlinked Passenger Trips": 226496, + "Average Passengers": 3.713341684935797 }, { "NTD ID": 60056, @@ -8863,7 +9577,8 @@ "All Fuels (Wh/pkm)": 189.97355870824765, "Unlinked Passenger Trips": 495882, "Passenger Paid Fares": 1572059, - "Average Fare": 3.1702279977897967 + "Average Fare": 3.1702279977897967, + "Average Passengers": 6.421007653852007 }, { "NTD ID": 60059, @@ -8875,7 +9590,8 @@ "All Fuels (Wh/pkm)": 2672.329880141275, "Unlinked Passenger Trips": 68574, "Passenger Paid Fares": 155292, - "Average Fare": 2.26459007787208 + "Average Fare": 2.26459007787208, + "Average Passengers": 0.8143229506060211 }, { "NTD ID": 60059, @@ -8889,7 +9605,8 @@ "All Fuels (Wh/pkm)": 1532.7637794488764, "Unlinked Passenger Trips": 370405, "Passenger Paid Fares": 242372, - "Average Fare": 0.654343218909032 + "Average Fare": 0.654343218909032, + "Average Passengers": 2.48581985231179 }, { "NTD ID": 60077, @@ -8903,7 +9620,8 @@ "All Fuels (Wh/pkm)": 1567.6184816262198, "Unlinked Passenger Trips": 34517, "Passenger Paid Fares": 68804, - "Average Fare": 1.9933366167395776 + "Average Fare": 1.9933366167395776, + "Average Passengers": 0.5158027580994867 }, { "NTD ID": 60077, @@ -8917,7 +9635,8 @@ "All Fuels (Wh/pkm)": 428.2626992841705, "Unlinked Passenger Trips": 870168, "Passenger Paid Fares": 277646, - "Average Fare": 0.31907171948405366 + "Average Fare": 0.31907171948405366, + "Average Passengers": 2.7708516556265788 }, { "NTD ID": 60088, @@ -8930,7 +9649,8 @@ "All Fuels (Wh/pkm)": 4176.8844474268335, "Unlinked Passenger Trips": 65133, "Passenger Paid Fares": 185151, - "Average Fare": 2.842660402560914 + "Average Fare": 2.842660402560914, + "Average Passengers": 0.8631764954304492 }, { "NTD ID": 60088, @@ -8942,7 +9662,8 @@ "All Fuels (Wh/pkm)": 945.6235502631598, "Unlinked Passenger Trips": 1878956, "Passenger Paid Fares": 2931244, - "Average Fare": 1.560038659766381 + "Average Fare": 1.560038659766381, + "Average Passengers": 5.733267226472855 }, { "NTD ID": 60090, @@ -8954,7 +9675,8 @@ "Gasoline (Wh/pkm)": 1383.7408255773366, "Diesel (Wh/pkm)": 355.5960584896196, "All Fuels (Wh/pkm)": 448.5739912806826, - "Unlinked Passenger Trips": 17904 + "Unlinked Passenger Trips": 17904, + "Average Passengers": 1.9894402255589099 }, { "NTD ID": 60090, @@ -8966,7 +9688,8 @@ "Gasoline (Wh/pkm)": 669.5461276023282, "Diesel (Wh/pkm)": 1350.3327164778218, "All Fuels (Wh/pkm)": 1108.2162424424187, - "Unlinked Passenger Trips": 801305 + "Unlinked Passenger Trips": 801305, + "Average Passengers": 2.78682063221295 }, { "NTD ID": 60091, @@ -8980,7 +9703,8 @@ "All Fuels (Wh/pkm)": 2041.5475167211694, "Unlinked Passenger Trips": 159613, "Passenger Paid Fares": 150216, - "Average Fare": 0.9411263493575085 + "Average Fare": 0.9411263493575085, + "Average Passengers": 1.0362742470561337 }, { "NTD ID": 60101, @@ -8988,7 +9712,8 @@ "UACE Code": "23500", "Unlinked Passenger Trips": 47871, "Passenger Paid Fares": 367349, - "Average Fare": 7.673727308809091 + "Average Fare": 7.673727308809091, + "Average Passengers": 0.8329771977398964 }, { "NTD ID": 60101, @@ -9004,7 +9729,8 @@ "All Fuels (Wh/pkm)": 1355.1885215028922, "Unlinked Passenger Trips": 2355857, "Passenger Paid Fares": 4095752, - "Average Fare": 1.7385401575732313 + "Average Fare": 1.7385401575732313, + "Average Passengers": 3.174322094548924 }, { "NTD ID": 60101, @@ -9016,7 +9742,8 @@ "All Fuels (Wh/pkm)": 184.1460746605943, "Unlinked Passenger Trips": 128171, "Passenger Paid Fares": 335184, - "Average Fare": 2.6151313479648284 + "Average Fare": 2.6151313479648284, + "Average Passengers": 8.060239352997622 }, { "NTD ID": 60101, @@ -9028,7 +9755,8 @@ "All Fuels (Wh/pkm)": 463.6054626790414, "Unlinked Passenger Trips": 393700, "Passenger Paid Fares": 744283, - "Average Fare": 1.8904826009652018 + "Average Fare": 1.8904826009652018, + "Average Passengers": 15.722673009167432 }, { "NTD ID": 60102, @@ -9042,7 +9770,8 @@ "All Fuels (Wh/pkm)": 244.61992582141067, "Unlinked Passenger Trips": 211728, "Passenger Paid Fares": 91666, - "Average Fare": 0.4329422655482506 + "Average Fare": 0.4329422655482506, + "Average Passengers": 3.4444708190457667 }, { "NTD ID": 60103, @@ -9054,7 +9783,8 @@ "All Fuels (Wh/pkm)": 632.5977336623259, "Unlinked Passenger Trips": 262260, "Passenger Paid Fares": 713564, - "Average Fare": 2.7208266605658507 + "Average Fare": 2.7208266605658507, + "Average Passengers": 6.429972686130051 }, { "NTD ID": 60103, @@ -9068,7 +9798,8 @@ "All Fuels (Wh/pkm)": 2070.180120121542, "Unlinked Passenger Trips": 134378, "Passenger Paid Fares": 99381, - "Average Fare": 0.7395630237092381 + "Average Fare": 0.7395630237092381, + "Average Passengers": 1.4555985141868637 }, { "NTD ID": 60107, @@ -9080,7 +9811,8 @@ "All Fuels (Wh/pkm)": 2486.148655109642, "Unlinked Passenger Trips": 43852, "Passenger Paid Fares": 57410, - "Average Fare": 1.309176320350269 + "Average Fare": 1.309176320350269, + "Average Passengers": 1.0794750520043521 }, { "NTD ID": 60111, @@ -9092,7 +9824,8 @@ "All Fuels (Wh/pkm)": 1457.064518880031, "Unlinked Passenger Trips": 57678, "Passenger Paid Fares": 25823, - "Average Fare": 0.44770969867193733 + "Average Fare": 0.44770969867193733, + "Average Passengers": 2.626693255466135 }, { "NTD ID": 60111, @@ -9104,7 +9837,8 @@ "All Fuels (Wh/pkm)": 656.3011830585514, "Unlinked Passenger Trips": 763428, "Passenger Paid Fares": 1942774, - "Average Fare": 2.544803177247887 + "Average Fare": 2.544803177247887, + "Average Passengers": 77.1753003763831 }, { "NTD ID": 60111, @@ -9116,7 +9850,8 @@ "All Fuels (Wh/pkm)": 2371.609562745213, "Unlinked Passenger Trips": 66181, "Passenger Paid Fares": 36841, - "Average Fare": 0.5566703434520481 + "Average Fare": 0.5566703434520481, + "Average Passengers": 0.9568908098137956 }, { "NTD ID": 60114, @@ -9128,7 +9863,8 @@ "All Fuels (Wh/pkm)": 2519.5119554095645, "Unlinked Passenger Trips": 150855, "Passenger Paid Fares": 122573, - "Average Fare": 0.8125219581717543 + "Average Fare": 0.8125219581717543, + "Average Passengers": 0.9499346633707043 }, { "NTD ID": 60127, @@ -9138,7 +9874,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 766.0565412445809, "All Fuels (Wh/pkm)": 766.0565412445809, - "Unlinked Passenger Trips": 11073 + "Unlinked Passenger Trips": 11073, + "Average Passengers": 3.2227318310523834 }, { "NTD ID": 60127, @@ -9146,7 +9883,8 @@ "UACE Code": "62677", "Unlinked Passenger Trips": 718059, "Passenger Paid Fares": 297726, - "Average Fare": 0.41462609618429686 + "Average Fare": 0.41462609618429686, + "Average Passengers": 16.733314690529458 }, { "NTD ID": 60130, @@ -9158,7 +9896,8 @@ "All Fuels (Wh/pkm)": 2915.429024728207, "Unlinked Passenger Trips": 130793, "Passenger Paid Fares": 271221, - "Average Fare": 2.073666021881905 + "Average Fare": 2.073666021881905, + "Average Passengers": 0.8913796776480837 }, { "NTD ID": 60133, @@ -9170,7 +9909,8 @@ "All Fuels (Wh/pkm)": 241.63972125076802, "Unlinked Passenger Trips": 571801, "Passenger Paid Fares": 52318, - "Average Fare": 0.09149686691698686 + "Average Fare": 0.09149686691698686, + "Average Passengers": 11.72645324757589 }, { "NTD ID": 60134, @@ -9182,7 +9922,8 @@ "All Fuels (Wh/pkm)": 375.2264264526754, "Unlinked Passenger Trips": 552320, "Passenger Paid Fares": 3557472, - "Average Fare": 6.440961761297799 + "Average Fare": 6.440961761297799, + "Average Passengers": 14.94544098389616 }, { "NTD ID": 60134, @@ -9191,7 +9932,8 @@ "Other (%)": 100.0, "All Fuels (%)": 100, "All Fuels (Wh/pkm)": 1403.3150228627337, - "Unlinked Passenger Trips": 139089 + "Unlinked Passenger Trips": 139089, + "Average Passengers": 3.1715098808640008 }, { "NTD ID": 60269, @@ -9201,7 +9943,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 750.4573478174149, "All Fuels (Wh/pkm)": 750.4573478174149, - "Unlinked Passenger Trips": 2942220 + "Unlinked Passenger Trips": 2942220, + "Average Passengers": 7.634417399830402 }, { "NTD ID": 66339, @@ -9213,7 +9956,8 @@ "All Fuels (Wh/pkm)": 337.0344880476177, "Unlinked Passenger Trips": 60713, "Passenger Paid Fares": 415766, - "Average Fare": 6.8480556058834186 + "Average Fare": 6.8480556058834186, + "Average Passengers": 4.7047785031213145 }, { "NTD ID": 70001, @@ -9227,7 +9971,8 @@ "All Fuels (Wh/pkm)": 1403.9443361438973, "Unlinked Passenger Trips": 43532, "Passenger Paid Fares": 14781, - "Average Fare": 0.33954332445097857 + "Average Fare": 0.33954332445097857, + "Average Passengers": 0.7424611491291454 }, { "NTD ID": 70001, @@ -9241,7 +9986,8 @@ "All Fuels (Wh/pkm)": 993.7145918630471, "Unlinked Passenger Trips": 2369678, "Passenger Paid Fares": 2684688, - "Average Fare": 1.1329336728450026 + "Average Fare": 1.1329336728450026, + "Average Passengers": 3.792387965908013 }, { "NTD ID": 70002, @@ -9255,7 +10001,8 @@ "All Fuels (Wh/pkm)": 2640.9936415220936, "Unlinked Passenger Trips": 101114, "Passenger Paid Fares": 241499, - "Average Fare": 2.388383408825682 + "Average Fare": 2.388383408825682, + "Average Passengers": 0.9181171263916453 }, { "NTD ID": 70002, @@ -9269,7 +10016,8 @@ "All Fuels (Wh/pkm)": 1643.2384532582967, "Unlinked Passenger Trips": 3267845, "Passenger Paid Fares": 4004757, - "Average Fare": 1.2255039636212857 + "Average Fare": 1.2255039636212857, + "Average Passengers": 2.8280657812590655 }, { "NTD ID": 70003, @@ -9281,7 +10029,8 @@ "All Fuels (Wh/pkm)": 3900.1839113518263, "Unlinked Passenger Trips": 21500, "Passenger Paid Fares": 32748, - "Average Fare": 1.5231627906976744 + "Average Fare": 1.5231627906976744, + "Average Passengers": 0.7270480840165777 }, { "NTD ID": 70003, @@ -9293,7 +10042,8 @@ "All Fuels (Wh/pkm)": 899.9833661339072, "Unlinked Passenger Trips": 1290854, "Passenger Paid Fares": 882886, - "Average Fare": 0.6839549631484273 + "Average Fare": 0.6839549631484273, + "Average Passengers": 5.474593918423883 }, { "NTD ID": 70005, @@ -9308,7 +10058,8 @@ "All Fuels (Wh/pkm)": 3602.8187235926107, "Unlinked Passenger Trips": 270854, "Passenger Paid Fares": 562093, - "Average Fare": 2.075261949242027 + "Average Fare": 2.075261949242027, + "Average Passengers": 0.6993097146338214 }, { "NTD ID": 70005, @@ -9322,7 +10073,8 @@ "All Fuels (Wh/pkm)": 762.7726796027993, "Unlinked Passenger Trips": 10867925, "Passenger Paid Fares": 7138371, - "Average Fare": 0.6568292475334528 + "Average Fare": 0.6568292475334528, + "Average Passengers": 4.806801781867479 }, { "NTD ID": 70005, @@ -9334,7 +10086,8 @@ "All Fuels (Wh/pkm)": 417.7581539505156, "Unlinked Passenger Trips": 57799, "Passenger Paid Fares": 184560, - "Average Fare": 3.1931348293223065 + "Average Fare": 3.1931348293223065, + "Average Passengers": 4.299560891196193 }, { "NTD ID": 70006, @@ -9346,7 +10099,8 @@ "All Fuels (Wh/pkm)": 2944.6826407053095, "Unlinked Passenger Trips": 523437, "Passenger Paid Fares": 1536819, - "Average Fare": 2.936015222462302 + "Average Fare": 2.936015222462302, + "Average Passengers": 1.147126436781609 }, { "NTD ID": 70006, @@ -9358,7 +10112,8 @@ "All Fuels (Wh/pkm)": 131.84568257430143, "Unlinked Passenger Trips": 13150909, "Passenger Paid Fares": 13845771, - "Average Fare": 1.0528375643082923 + "Average Fare": 1.0528375643082923, + "Average Passengers": 28.80800290574882 }, { "NTD ID": 70006, @@ -9370,7 +10125,8 @@ "All Fuels (Wh/pkm)": 1008.7109522446033, "Unlinked Passenger Trips": 22967690, "Passenger Paid Fares": 24549467, - "Average Fare": 1.0688696599440344 + "Average Fare": 1.0688696599440344, + "Average Passengers": 6.044405284375718 }, { "NTD ID": 70008, @@ -9384,7 +10140,8 @@ "All Fuels (Wh/pkm)": 1768.847681349997, "Unlinked Passenger Trips": 87318, "Passenger Paid Fares": 330340, - "Average Fare": 3.783183306992831 + "Average Fare": 3.783183306992831, + "Average Passengers": 1.2437339484738372 }, { "NTD ID": 70008, @@ -9396,7 +10153,8 @@ "All Fuels (Wh/pkm)": 1028.6822178598688, "Unlinked Passenger Trips": 1246374, "Passenger Paid Fares": 870871, - "Average Fare": 0.6987236575859253 + "Average Fare": 0.6987236575859253, + "Average Passengers": 5.555236497539576 }, { "NTD ID": 70010, @@ -9408,7 +10166,8 @@ "All Fuels (Wh/pkm)": 3893.462739113697, "Unlinked Passenger Trips": 97936, "Passenger Paid Fares": 108193, - "Average Fare": 1.10473166149322 + "Average Fare": 1.10473166149322, + "Average Passengers": 1.0071916655961142 }, { "NTD ID": 70010, @@ -9420,7 +10179,8 @@ "All Fuels (Wh/pkm)": 1084.4266941316205, "Unlinked Passenger Trips": 4065589, "Passenger Paid Fares": 2084390, - "Average Fare": 0.5126907810897757 + "Average Fare": 0.5126907810897757, + "Average Passengers": 4.7789287765523065 }, { "NTD ID": 70010, @@ -9432,7 +10192,8 @@ "All Fuels (Wh/pkm)": 297.0934660535208, "Unlinked Passenger Trips": 223887, "Passenger Paid Fares": 751719, - "Average Fare": 3.357582173149848 + "Average Fare": 3.357582173149848, + "Average Passengers": 4.6804555271247255 }, { "NTD ID": 70012, @@ -9446,7 +10207,8 @@ "All Fuels (Wh/pkm)": 2975.344083361777, "Unlinked Passenger Trips": 42447, "Passenger Paid Fares": 159714, - "Average Fare": 3.7626687398402714 + "Average Fare": 3.7626687398402714, + "Average Passengers": 0.9502794461127794 }, { "NTD ID": 70012, @@ -9458,7 +10220,8 @@ "All Fuels (Wh/pkm)": 906.5478185718217, "Unlinked Passenger Trips": 834379, "Passenger Paid Fares": 675803, - "Average Fare": 0.8099472781553706 + "Average Fare": 0.8099472781553706, + "Average Passengers": 6.048263850599689 }, { "NTD ID": 70014, @@ -9466,7 +10229,8 @@ "UACE Code": "88084", "Unlinked Passenger Trips": 22605, "Passenger Paid Fares": 87214, - "Average Fare": 3.85817297058173 + "Average Fare": 3.85817297058173, + "Average Passengers": 0.5229933717160966 }, { "NTD ID": 70014, @@ -9478,7 +10242,8 @@ "All Fuels (Wh/pkm)": 874.4867565843299, "Unlinked Passenger Trips": 1259698, "Passenger Paid Fares": 910497, - "Average Fare": 0.7227899067871824 + "Average Fare": 0.7227899067871824, + "Average Passengers": 5.370647276994322 }, { "NTD ID": 70015, @@ -9490,7 +10255,8 @@ "All Fuels (Wh/pkm)": 2771.668302501515, "Unlinked Passenger Trips": 80153, "Passenger Paid Fares": 260563, - "Average Fare": 3.2508203061644605 + "Average Fare": 3.2508203061644605, + "Average Passengers": 1.0011008560484844 }, { "NTD ID": 70015, @@ -9502,7 +10268,8 @@ "All Fuels (Wh/pkm)": 1209.5432454287497, "Unlinked Passenger Trips": 1286807, "Passenger Paid Fares": 1715983, - "Average Fare": 1.3335201005278958 + "Average Fare": 1.3335201005278958, + "Average Passengers": 3.8135151268499583 }, { "NTD ID": 70016, @@ -9516,7 +10283,8 @@ "All Fuels (Wh/pkm)": 2947.964638739917, "Unlinked Passenger Trips": 52868, "Passenger Paid Fares": 90394, - "Average Fare": 1.7098055534538852 + "Average Fare": 1.7098055534538852, + "Average Passengers": 1.0005630344163265 }, { "NTD ID": 70016, @@ -9532,7 +10300,8 @@ "All Fuels (Wh/pkm)": 1201.7146805941054, "Unlinked Passenger Trips": 1055726, "Passenger Paid Fares": 145109, - "Average Fare": 0.13744948973502594 + "Average Fare": 0.13744948973502594, + "Average Passengers": 4.666739439626803 }, { "NTD ID": 70018, @@ -9542,7 +10311,8 @@ "Diesel (Wh/pkm)": 5276.666989890317, "Unlinked Passenger Trips": 96815, "Passenger Paid Fares": 183102, - "Average Fare": 1.8912565201673295 + "Average Fare": 1.8912565201673295, + "Average Passengers": 1.1359562864766601 }, { "NTD ID": 70018, @@ -9554,7 +10324,8 @@ "All Fuels (Wh/pkm)": 1345.3402849480228, "Unlinked Passenger Trips": 1486351, "Passenger Paid Fares": 1258128, - "Average Fare": 0.84645416863177 + "Average Fare": 0.84645416863177, + "Average Passengers": 4.375646567333881 }, { "NTD ID": 70019, @@ -9564,7 +10335,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 620.711104164946, "All Fuels (Wh/pkm)": 620.711104164946, - "Unlinked Passenger Trips": 8654 + "Unlinked Passenger Trips": 8654, + "Average Passengers": 0.5564510477258392 }, { "NTD ID": 70030, @@ -9576,7 +10348,8 @@ "All Fuels (Wh/pkm)": 5078.2636206089255, "Unlinked Passenger Trips": 12156, "Passenger Paid Fares": 22832, - "Average Fare": 1.8782494241526817 + "Average Fare": 1.8782494241526817, + "Average Passengers": 1.0023877033278616 }, { "NTD ID": 70030, @@ -9588,7 +10361,8 @@ "All Fuels (Wh/pkm)": 836.085453887393, "Unlinked Passenger Trips": 443217, "Passenger Paid Fares": 165867, - "Average Fare": 0.37423429155470117 + "Average Fare": 0.37423429155470117, + "Average Passengers": 6.697119228118539 }, { "NTD ID": 70035, @@ -9602,7 +10376,8 @@ "All Fuels (Wh/pkm)": 3961.3314835058322, "Unlinked Passenger Trips": 55673, "Passenger Paid Fares": 162367, - "Average Fare": 2.9164406444775746 + "Average Fare": 2.9164406444775746, + "Average Passengers": 0.6782685141709708 }, { "NTD ID": 70035, @@ -9618,7 +10393,8 @@ "All Fuels (Wh/pkm)": 1010.7527498407587, "Unlinked Passenger Trips": 323919, "Passenger Paid Fares": 435867, - "Average Fare": 1.3456049197484556 + "Average Fare": 1.3456049197484556, + "Average Passengers": 3.179821959792943 }, { "NTD ID": 70041, @@ -9632,7 +10408,8 @@ "All Fuels (Wh/pkm)": 807.4071697302693, "Unlinked Passenger Trips": 6112643, "Passenger Paid Fares": 4657646, - "Average Fare": 0.7619692496355505 + "Average Fare": 0.7619692496355505, + "Average Passengers": 7.1095804245238785 }, { "NTD ID": 70044, @@ -9644,7 +10421,8 @@ "All Fuels (Wh/pkm)": 1055.3840140272014, "Unlinked Passenger Trips": 1656186, "Passenger Paid Fares": 3455946, - "Average Fare": 2.086689538493865 + "Average Fare": 2.086689538493865, + "Average Passengers": 4.829577524114401 }, { "NTD ID": 70048, @@ -9656,7 +10434,8 @@ "All Fuels (Wh/pkm)": 5170.106296441474, "Unlinked Passenger Trips": 82233, "Passenger Paid Fares": 145191, - "Average Fare": 1.7656050490678925 + "Average Fare": 1.7656050490678925, + "Average Passengers": 0.705795168222914 }, { "NTD ID": 70048, @@ -9668,7 +10447,8 @@ "All Fuels (Wh/pkm)": 1607.919634350132, "Unlinked Passenger Trips": 1108579, "Passenger Paid Fares": 294781, - "Average Fare": 0.26590887974605326 + "Average Fare": 0.26590887974605326, + "Average Passengers": 3.245570466450487 }, { "NTD ID": 70049, @@ -9680,7 +10460,8 @@ "All Fuels (Wh/pkm)": 2174.18922325297, "Unlinked Passenger Trips": 161799, "Passenger Paid Fares": 113627, - "Average Fare": 0.7022725727600294 + "Average Fare": 0.7022725727600294, + "Average Passengers": 1.3490551464909117 }, { "NTD ID": 70271, @@ -9690,7 +10471,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 206.66622054326143, "All Fuels (Wh/pkm)": 206.66622054326143, - "Unlinked Passenger Trips": 2187347 + "Unlinked Passenger Trips": 2187347, + "Average Passengers": 20.641214483242827 }, { "NTD ID": 80001, @@ -9702,7 +10484,8 @@ "All Fuels (Wh/pkm)": 462.72304120887543, "Unlinked Passenger Trips": 549661, "Passenger Paid Fares": 232244, - "Average Fare": 0.4225222455295173 + "Average Fare": 0.4225222455295173, + "Average Passengers": 9.545297709791488 }, { "NTD ID": 80001, @@ -9714,7 +10497,8 @@ "All Fuels (Wh/pkm)": 550.0484139106466, "Unlinked Passenger Trips": 5193879, "Passenger Paid Fares": 4355624, - "Average Fare": 0.8386071373630383 + "Average Fare": 0.8386071373630383, + "Average Passengers": 98.60850101790929 }, { "NTD ID": 80001, @@ -9728,7 +10512,8 @@ "All Fuels (Wh/pkm)": 1470.8553572416463, "Unlinked Passenger Trips": 388265, "Passenger Paid Fares": 193024, - "Average Fare": 0.49714499117870525 + "Average Fare": 0.49714499117870525, + "Average Passengers": 1.2403034616485609 }, { "NTD ID": 80001, @@ -9740,7 +10525,8 @@ "All Fuels (Wh/pkm)": 130.90438034716576, "Unlinked Passenger Trips": 17128008, "Passenger Paid Fares": 8615988, - "Average Fare": 0.5030350289420696 + "Average Fare": 0.5030350289420696, + "Average Passengers": 28.379019919622102 }, { "NTD ID": 80001, @@ -9758,7 +10544,8 @@ "All Fuels (Wh/pkm)": 951.6158615494762, "Unlinked Passenger Trips": 20249984, "Passenger Paid Fares": 8346657, - "Average Fare": 0.4121809182664046 + "Average Fare": 0.4121809182664046, + "Average Passengers": 4.336622183021345 }, { "NTD ID": 80001, @@ -9770,7 +10557,8 @@ "All Fuels (Wh/pkm)": 193.45329565382772, "Unlinked Passenger Trips": 1068364, "Passenger Paid Fares": 2867366, - "Average Fare": 2.683884893163753 + "Average Fare": 2.683884893163753, + "Average Passengers": 5.738942951220525 }, { "NTD ID": 80002, @@ -9782,7 +10570,8 @@ "All Fuels (Wh/pkm)": 2742.467659372655, "Unlinked Passenger Trips": 84086, "Passenger Paid Fares": 208220, - "Average Fare": 2.4762742906072353 + "Average Fare": 2.4762742906072353, + "Average Passengers": 1.2206916353101436 }, { "NTD ID": 80002, @@ -9794,7 +10583,8 @@ "All Fuels (Wh/pkm)": 1079.4821343423066, "Unlinked Passenger Trips": 769437, "Passenger Paid Fares": 431576, - "Average Fare": 0.5608984231327581 + "Average Fare": 0.5608984231327581, + "Average Passengers": 4.30883343849172 }, { "NTD ID": 80003, @@ -9806,7 +10596,8 @@ "All Fuels (Wh/pkm)": 2920.4416529954874, "Unlinked Passenger Trips": 53350, "Passenger Paid Fares": 159726, - "Average Fare": 2.993926897844424 + "Average Fare": 2.993926897844424, + "Average Passengers": 0.8346627535530907 }, { "NTD ID": 80003, @@ -9818,7 +10609,8 @@ "All Fuels (Wh/pkm)": 892.3206010918242, "Unlinked Passenger Trips": 1343534, "Passenger Paid Fares": 560802, - "Average Fare": 0.4174081191841814 + "Average Fare": 0.4174081191841814, + "Average Passengers": 5.719879050703187 }, { "NTD ID": 80004, @@ -9830,7 +10622,8 @@ "All Fuels (Wh/pkm)": 2383.3558719276975, "Unlinked Passenger Trips": 46304, "Passenger Paid Fares": 234442, - "Average Fare": 5.063104699378023 + "Average Fare": 5.063104699378023, + "Average Passengers": 1.4571570057247338 }, { "NTD ID": 80004, @@ -9842,7 +10635,8 @@ "All Fuels (Wh/pkm)": 1680.4153571853547, "Unlinked Passenger Trips": 424671, "Passenger Paid Fares": 369856, - "Average Fare": 0.8709236090997502 + "Average Fare": 0.8709236090997502, + "Average Passengers": 2.733674832352955 }, { "NTD ID": 80005, @@ -9854,7 +10648,8 @@ "All Fuels (Wh/pkm)": 2179.053362840427, "Unlinked Passenger Trips": 147096, "Passenger Paid Fares": 370039, - "Average Fare": 2.5156292489258716 + "Average Fare": 2.5156292489258716, + "Average Passengers": 1.1171437730749703 }, { "NTD ID": 80005, @@ -9866,7 +10661,8 @@ "All Fuels (Wh/pkm)": 1132.8903118302542, "Unlinked Passenger Trips": 3214724, "Passenger Paid Fares": 2698295, - "Average Fare": 0.8393551048239289 + "Average Fare": 0.8393551048239289, + "Average Passengers": 4.369168601550538 }, { "NTD ID": 80005, @@ -9878,7 +10674,8 @@ "All Fuels (Wh/pkm)": 228.1518807796683, "Unlinked Passenger Trips": 42091, "Passenger Paid Fares": 319039, - "Average Fare": 7.579743888242142 + "Average Fare": 7.579743888242142, + "Average Passengers": 3.8365645230107157 }, { "NTD ID": 80006, @@ -9890,7 +10687,8 @@ "All Fuels (Wh/pkm)": 56.35033203032575, "Unlinked Passenger Trips": 9711377, "Passenger Paid Fares": 21155835, - "Average Fare": 2.1784588323571414 + "Average Fare": 2.1784588323571414, + "Average Passengers": 75.29722856259843 }, { "NTD ID": 80006, @@ -9902,7 +10700,8 @@ "All Fuels (Wh/pkm)": 3621.742907634149, "Unlinked Passenger Trips": 1179015, "Passenger Paid Fares": 4187844, - "Average Fare": 3.5519853436979174 + "Average Fare": 3.5519853436979174, + "Average Passengers": 0.7144885046161806 }, { "NTD ID": 80006, @@ -9914,7 +10713,8 @@ "All Fuels (Wh/pkm)": 120.97813972925519, "Unlinked Passenger Trips": 24585300, "Passenger Paid Fares": 24605972, - "Average Fare": 1.0008408276490424 + "Average Fare": 1.0008408276490424, + "Average Passengers": 27.234688904573776 }, { "NTD ID": 80006, @@ -9928,7 +10728,8 @@ "All Fuels (Wh/pkm)": 705.8112371014059, "Unlinked Passenger Trips": 69731784, "Passenger Paid Fares": 50360363, - "Average Fare": 0.7222009837006321 + "Average Fare": 0.7222009837006321, + "Average Passengers": 7.117562373864796 }, { "NTD ID": 80007, @@ -9940,7 +10741,8 @@ "All Fuels (Wh/pkm)": 1955.13394944281, "Unlinked Passenger Trips": 56442, "Passenger Paid Fares": 56605, - "Average Fare": 1.002887920343007 + "Average Fare": 1.002887920343007, + "Average Passengers": 0.7569384098141567 }, { "NTD ID": 80007, @@ -9952,7 +10754,8 @@ "All Fuels (Wh/pkm)": 990.4283226286303, "Unlinked Passenger Trips": 775512, "Passenger Paid Fares": 163231, - "Average Fare": 0.21048159151631438 + "Average Fare": 0.21048159151631438, + "Average Passengers": 5.518515641652788 }, { "NTD ID": 80008, @@ -9964,7 +10767,8 @@ "All Fuels (Wh/pkm)": 2630.2811187377665, "Unlinked Passenger Trips": 65182, "Passenger Paid Fares": 197460, - "Average Fare": 3.0293639348286336 + "Average Fare": 3.0293639348286336, + "Average Passengers": 0.7214722012651615 }, { "NTD ID": 80008, @@ -9978,7 +10782,8 @@ "All Fuels (Wh/pkm)": 1587.8053486786364, "Unlinked Passenger Trips": 225141, "Passenger Paid Fares": 156711, - "Average Fare": 0.6960571375271497 + "Average Fare": 0.6960571375271497, + "Average Passengers": 2.4403600551547484 }, { "NTD ID": 80009, @@ -9988,7 +10793,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2721.4516160450526, "All Fuels (Wh/pkm)": 3605.032495733486, - "Unlinked Passenger Trips": 41918 + "Unlinked Passenger Trips": 41918, + "Average Passengers": 0.6241575968281969 }, { "NTD ID": 80009, @@ -9998,7 +10804,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1162.2003048429592, "All Fuels (Wh/pkm)": 1162.2003048429592, - "Unlinked Passenger Trips": 1556774 + "Unlinked Passenger Trips": 1556774, + "Average Passengers": 4.401852866811426 }, { "NTD ID": 80011, @@ -10008,7 +10815,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 798.9261843653028, "All Fuels (Wh/pkm)": 798.9261843653028, - "Unlinked Passenger Trips": 7970 + "Unlinked Passenger Trips": 7970, + "Average Passengers": 3.162429432046376 }, { "NTD ID": 80011, @@ -10022,7 +10830,8 @@ "All Fuels (Wh/pkm)": 291.3215070292121, "Unlinked Passenger Trips": 3019417, "Passenger Paid Fares": 251209, - "Average Fare": 0.08319784912120452 + "Average Fare": 0.08319784912120452, + "Average Passengers": 6.285007584620944 }, { "NTD ID": 80011, @@ -10034,7 +10843,8 @@ "All Fuels (Wh/pkm)": 210.45910732612143, "Unlinked Passenger Trips": 1445344, "Passenger Paid Fares": 120924, - "Average Fare": 0.08366451170102066 + "Average Fare": 0.08366451170102066, + "Average Passengers": 10.939225350622978 }, { "NTD ID": 80012, @@ -10046,7 +10856,8 @@ "All Fuels (Wh/pkm)": 2144.697342998698, "Unlinked Passenger Trips": 43414, "Passenger Paid Fares": 84571, - "Average Fare": 1.9480121619753996 + "Average Fare": 1.9480121619753996, + "Average Passengers": 0.6600188138078594 }, { "NTD ID": 80012, @@ -10058,7 +10869,8 @@ "All Fuels (Wh/pkm)": 1929.3493634738131, "Unlinked Passenger Trips": 398351, "Passenger Paid Fares": 202725, - "Average Fare": 0.5089104834680972 + "Average Fare": 0.5089104834680972, + "Average Passengers": 2.5298296616921854 }, { "NTD ID": 80025, @@ -10068,7 +10880,8 @@ "Gasoline (Wh/pkm)": 1847.996241252163, "Unlinked Passenger Trips": 110313, "Passenger Paid Fares": 75595, - "Average Fare": 0.6852773471848286 + "Average Fare": 0.6852773471848286, + "Average Passengers": 1.9110903203642928 }, { "NTD ID": 80028, @@ -10078,7 +10891,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 3841.521740262299, "All Fuels (Wh/pkm)": 3841.521740262299, - "Unlinked Passenger Trips": 28079 + "Unlinked Passenger Trips": 28079, + "Average Passengers": 0.8866323128220673 }, { "NTD ID": 80028, @@ -10088,7 +10902,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 803.7296864855364, "All Fuels (Wh/pkm)": 803.7296864855364, - "Unlinked Passenger Trips": 1424788 + "Unlinked Passenger Trips": 1424788, + "Average Passengers": 5.5019995928972545 }, { "NTD ID": 80106, @@ -10100,7 +10915,8 @@ "All Fuels (Wh/pkm)": 328.06042879479236, "Unlinked Passenger Trips": 63994, "Passenger Paid Fares": 365880, - "Average Fare": 5.717411007281933 + "Average Fare": 5.717411007281933, + "Average Passengers": 2.6003929175810283 }, { "NTD ID": 80107, @@ -10112,7 +10928,8 @@ "Diesel (Wh/pkm)": 1224.1143441435545, "Electric (Wh/pkm)": 346.0088697208398, "All Fuels (Wh/pkm)": 950.5532398070369, - "Unlinked Passenger Trips": 239642 + "Unlinked Passenger Trips": 239642, + "Average Passengers": 4.146990362626592 }, { "NTD ID": 80109, @@ -10124,7 +10941,8 @@ "All Fuels (Wh/pkm)": 383.94409035105576, "Unlinked Passenger Trips": 167632, "Passenger Paid Fares": 777943, - "Average Fare": 4.640778610289205 + "Average Fare": 4.640778610289205, + "Average Passengers": 4.062594510407012 }, { "NTD ID": 90001, @@ -10136,7 +10954,8 @@ "All Fuels (Wh/pkm)": 1061.087579136624, "Unlinked Passenger Trips": 30674, "Passenger Paid Fares": 65762, - "Average Fare": 2.1439003716502576 + "Average Fare": 2.1439003716502576, + "Average Passengers": 6.938224176366408 }, { "NTD ID": 90001, @@ -10150,7 +10969,8 @@ "All Fuels (Wh/pkm)": 871.8723955411888, "Unlinked Passenger Trips": 217266, "Passenger Paid Fares": 394485, - "Average Fare": 1.8156775565435916 + "Average Fare": 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5.427154405480757, + "Average Passengers": 12.784360902255639 }, { "NTD ID": 90006, @@ -10294,7 +11125,8 @@ "All Fuels (Wh/pkm)": 2776.898555746648, "Unlinked Passenger Trips": 73497, "Passenger Paid Fares": 285841, - "Average Fare": 3.889151938174347 + "Average Fare": 3.889151938174347, + "Average Passengers": 0.9711933126439083 }, { "NTD ID": 90006, @@ -10310,7 +11142,8 @@ "All Fuels (Wh/pkm)": 320.22813590335994, "Unlinked Passenger Trips": 4760464, "Passenger Paid Fares": 2570705, - "Average Fare": 0.5400114358600339 + "Average Fare": 0.5400114358600339, + "Average Passengers": 8.029095128382723 }, { "NTD ID": 90007, @@ -10324,7 +11157,8 @@ "All Fuels (Wh/pkm)": 2483.0614257260204, "Unlinked Passenger Trips": 79647, "Passenger Paid Fares": 237391, - "Average Fare": 2.9805391289062992 + "Average Fare": 2.9805391289062992, + "Average Passengers": 1.145799711306981 }, { "NTD ID": 90007, @@ -10338,7 +11172,8 @@ "All Fuels (Wh/pkm)": 1019.96522139228, "Unlinked Passenger Trips": 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"NTD ID": 90015, @@ -10536,7 +11385,8 @@ "All Fuels (Wh/pkm)": 318.83418014242784, "Unlinked Passenger Trips": 5703705, "Passenger Paid Fares": 24490634, - "Average Fare": 4.293811478679209 + "Average Fare": 4.293811478679209, + "Average Passengers": 25.396656524516303 }, { "NTD ID": 90015, @@ -10550,7 +11400,8 @@ "All Fuels (Wh/pkm)": 2946.747860129643, "Unlinked Passenger Trips": 401197, "Passenger Paid Fares": 1084238, - "Average Fare": 2.7025077455713777 + "Average Fare": 2.7025077455713777, + "Average Passengers": 1.2980445272724404 }, { "NTD ID": 90015, @@ -10562,7 +11413,8 @@ "All Fuels (Wh/pkm)": 154.93035782632887, "Unlinked Passenger Trips": 49795740, "Passenger Paid Fares": 39140481, - "Average Fare": 0.7860206716478156 + "Average Fare": 0.7860206716478156, + "Average Passengers": 39.939639368596524 }, { "NTD ID": 90015, @@ -10574,7 +11426,8 @@ "All Fuels (Wh/pkm)": 429.43625398856375, "Unlinked Passenger Trips": 110802986, "Passenger Paid Fares": 87093437, - "Average Fare": 0.7860206673491633 + "Average Fare": 0.7860206673491633, + "Average Passengers": 14.674370844180903 }, { "NTD ID": 90015, @@ -10586,7 +11439,8 @@ "All Fuels (Wh/pkm)": 310.54266242544657, "Unlinked Passenger Trips": 7386518, "Passenger Paid Fares": 5805956, - "Average Fare": 0.786020693376771 + "Average Fare": 0.786020693376771, + "Average Passengers": 20.314326939821377 }, { "NTD ID": 90015, @@ -10598,7 +11452,8 @@ "All Fuels (Wh/pkm)": 339.42531616462026, "Unlinked Passenger Trips": 49247910, "Passenger Paid Fares": 38709875, - "Average Fare": 0.7860206656485524 + "Average Fare": 0.7860206656485524, + "Average Passengers": 12.609141452643444 }, { "NTD ID": 90016, @@ -10610,7 +11465,8 @@ "All Fuels (Wh/pkm)": 3647.1657919062004, "Unlinked Passenger Trips": 36186, "Passenger Paid Fares": 150954, - "Average Fare": 4.171613331122534 + "Average Fare": 4.171613331122534, + "Average Passengers": 0.8028506542376909 }, { "NTD ID": 90016, @@ -10622,7 +11478,8 @@ "All Fuels (Wh/pkm)": 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"NTD ID": 90019, @@ -10668,7 +11528,8 @@ "UACE Code": "77068", "Unlinked Passenger Trips": 98590, "Passenger Paid Fares": 1128070, - "Average Fare": 11.442032660513236 + "Average Fare": 11.442032660513236, + "Average Passengers": 0.7168472600942849 }, { "NTD ID": 90019, @@ -10680,7 +11541,8 @@ "All Fuels (Wh/pkm)": 131.18608126981056, "Unlinked Passenger Trips": 9980850, "Passenger Paid Fares": 7037117, - "Average Fare": 0.7050618935261025 + "Average Fare": 0.7050618935261025, + "Average Passengers": 35.05625590235508 }, { "NTD ID": 90019, @@ -10696,7 +11558,8 @@ "All Fuels (Wh/pkm)": 363.4741792310967, "Unlinked Passenger Trips": 9909691, "Passenger Paid Fares": 7757836, - "Average Fare": 0.7828534714150017 + "Average Fare": 0.7828534714150017, + "Average Passengers": 4.787561711880807 }, { "NTD ID": 90020, @@ -10710,7 +11573,8 @@ "All Fuels (Wh/pkm)": 567.7391584578168, "Unlinked Passenger Trips": 6432190, "Passenger Paid Fares": 3951960, - "Average Fare": 0.6144034924341476 + "Average Fare": 0.6144034924341476, + "Average Passengers": 8.71833960735058 }, { "NTD ID": 90022, @@ -10722,7 +11586,8 @@ "All Fuels (Wh/pkm)": 3583.8581656158935, "Unlinked Passenger Trips": 24233, "Passenger Paid Fares": 33876, - "Average Fare": 1.3979284446828704 + "Average Fare": 1.3979284446828704, + "Average Passengers": 1.1325403683102016 }, { "NTD ID": 90022, @@ -10738,7 +11603,8 @@ "All Fuels (Wh/pkm)": 462.1052367676649, "Unlinked Passenger Trips": 1427804, "Passenger Paid Fares": 1241155, - "Average Fare": 0.8692754747850545 + "Average Fare": 0.8692754747850545, + "Average Passengers": 5.501180625084314 }, { "NTD ID": 90023, @@ -10752,7 +11618,8 @@ "All Fuels (Wh/pkm)": 1037.9678700264872, "Unlinked Passenger Trips": 38126, "Passenger Paid Fares": 63872, - "Average Fare": 1.675287205581493 + "Average Fare": 1.675287205581493, + "Average Passengers": 0.5492747533910688 }, { "NTD ID": 90023, @@ -10770,7 +11637,8 @@ "All Fuels (Wh/pkm)": 383.5246288101184, "Unlinked Passenger 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"Average Passengers": 6.490054573407429 }, { "NTD ID": 90036, @@ -11108,7 +12001,8 @@ "All Fuels (Wh/pkm)": 2902.2332387448073, "Unlinked Passenger Trips": 1493588, "Passenger Paid Fares": 6835526, - "Average Fare": 4.576580690257287 + "Average Fare": 4.576580690257287, + "Average Passengers": 1.2467608794157847 }, { "NTD ID": 90036, @@ -11120,7 +12014,8 @@ "All Fuels (Wh/pkm)": 244.81899030821705, "Unlinked Passenger Trips": 37642803, "Passenger Paid Fares": 37596843, - "Average Fare": 0.9987790494772666 + "Average Fare": 0.9987790494772666, + "Average Passengers": 6.177134372725861 }, { "NTD ID": 90036, @@ -11132,7 +12027,8 @@ "All Fuels (Wh/pkm)": 279.7169561633968, "Unlinked Passenger Trips": 1230296, "Passenger Paid Fares": 6052956, - "Average Fare": 4.91991845864735 + "Average Fare": 4.91991845864735, + "Average Passengers": 4.700730409036235 }, { "NTD ID": 90039, @@ -11144,7 +12040,8 @@ "All Fuels (Wh/pkm)": 2776.6259055965743, "Unlinked Passenger Trips": 7641, "Passenger Paid Fares": 2749, - "Average Fare": 0.35976966365658947 + "Average Fare": 0.35976966365658947, + "Average Passengers": 0.72431906614786 }, { "NTD ID": 90039, @@ -11156,7 +12053,8 @@ "All Fuels (Wh/pkm)": 436.03592734766517, "Unlinked Passenger Trips": 4600876, "Passenger Paid Fares": 2908934, - "Average Fare": 0.632256552882538 + "Average Fare": 0.632256552882538, + "Average Passengers": 8.082557119380542 }, { "NTD ID": 90041, @@ -11172,7 +12070,8 @@ "All Fuels (Wh/pkm)": 520.6748596081596, "Unlinked Passenger Trips": 5258035, "Passenger Paid Fares": 3934508, - "Average Fare": 0.7482848630714706 + "Average Fare": 0.7482848630714706, + "Average Passengers": 8.543357636895822 }, { "NTD ID": 90042, @@ -11184,7 +12083,8 @@ "All Fuels (Wh/pkm)": 2766.1884165047036, "Unlinked Passenger Trips": 22567, "Passenger Paid Fares": 11364, - "Average Fare": 0.5035671555811583 + "Average Fare": 0.5035671555811583, + "Average Passengers": 1.1095282380791343 }, { "NTD ID": 90042, @@ -11198,7 +12098,8 @@ "All Fuels (Wh/pkm)": 938.5387136897571, "Unlinked Passenger Trips": 2920856, "Passenger Paid Fares": 2235072, - "Average Fare": 0.7652112942233372 + "Average Fare": 0.7652112942233372, + "Average Passengers": 6.283440039086219 }, { "NTD ID": 90043, @@ -11208,7 +12109,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 726.6667790447317, "All Fuels (Wh/pkm)": 726.6667790447317, - "Unlinked Passenger Trips": 10608 + "Unlinked Passenger Trips": 10608, + "Average Passengers": 0.9179282162593163 }, { "NTD ID": 90043, @@ -11218,7 +12120,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 347.0142829001512, "All Fuels (Wh/pkm)": 347.0142829001512, - "Unlinked Passenger Trips": 445353 + "Unlinked Passenger Trips": 445353, + "Average Passengers": 5.242064388774172 }, { "NTD ID": 90045, @@ -11230,7 +12133,8 @@ "All Fuels (Wh/pkm)": 731.6832567244687, "Unlinked Passenger Trips": 1347611, "Passenger Paid Fares": 2834196, - "Average Fare": 2.1031261988808345 + "Average Fare": 2.1031261988808345, + "Average Passengers": 1.1359829335349783 }, { "NTD ID": 90045, @@ -11244,7 +12148,8 @@ "All Fuels (Wh/pkm)": 278.7371255760266, "Unlinked Passenger Trips": 64473581, "Passenger Paid Fares": 64309550, - "Average Fare": 0.9974558416415554 + "Average Fare": 0.9974558416415554, + "Average Passengers": 11.894980138498152 }, { "NTD ID": 90061, @@ -11256,7 +12161,8 @@ "All Fuels (Wh/pkm)": 449.39930350103896, "Unlinked Passenger Trips": 134381, "Passenger Paid Fares": 345636, - "Average Fare": 2.5720600382494547 + "Average Fare": 2.5720600382494547, + "Average Passengers": 10.796620798980234 }, { "NTD ID": 90061, @@ -11268,7 +12174,8 @@ "All Fuels (Wh/pkm)": 1038.226640103641, "Unlinked Passenger Trips": 731507, "Passenger Paid Fares": 285759, - "Average Fare": 0.39064424537290826 + "Average Fare": 0.39064424537290826, + "Average Passengers": 3.555007009894892 }, { "NTD ID": 90062, @@ -11280,7 +12187,8 @@ "All Fuels (Wh/pkm)": 3361.655190318301, "Unlinked Passenger Trips": 199874, "Passenger Paid Fares": 309374, - "Average Fare": 1.547845142439737 + "Average Fare": 1.547845142439737, + "Average Passengers": 1.0462150762112306 }, { "NTD ID": 90062, @@ -11296,7 +12204,8 @@ "All Fuels (Wh/pkm)": 767.5505718215477, "Unlinked Passenger Trips": 4228507, "Passenger Paid Fares": 6776737, - "Average Fare": 1.6026311414407024 + "Average Fare": 1.6026311414407024, + "Average Passengers": 5.342607413364978 }, { "NTD ID": 90078, @@ -11308,7 +12217,8 @@ "All Fuels (Wh/pkm)": 4240.193141923357, "Unlinked Passenger Trips": 152716, "Passenger Paid Fares": 532081, - "Average Fare": 3.484120851777155 + "Average Fare": 3.484120851777155, + "Average Passengers": 1.1187620007095485 }, { "NTD ID": 90078, @@ -11322,7 +12232,8 @@ "All Fuels (Wh/pkm)": 1028.897414004017, "Unlinked Passenger Trips": 3252149, "Passenger Paid Fares": 4332118, - "Average Fare": 1.3320785732757017 + "Average Fare": 1.3320785732757017, + "Average Passengers": 4.502746123210417 }, { "NTD ID": 90079, @@ -11334,7 +12245,8 @@ "All Fuels (Wh/pkm)": 612.7324230730568, "Unlinked Passenger Trips": 155332, "Passenger Paid Fares": 329938, - "Average Fare": 2.1240826101511603 + "Average Fare": 2.1240826101511603, + "Average Passengers": 1.4300019787546023 }, { "NTD ID": 90079, @@ -11348,7 +12260,8 @@ "All Fuels (Wh/pkm)": 237.81392280416435, "Unlinked Passenger Trips": 4039450, "Passenger Paid Fares": 2536138, - "Average Fare": 0.6278424042877124 + "Average Fare": 0.6278424042877124, + "Average Passengers": 8.694970303864295 }, { "NTD ID": 90079, @@ -11360,7 +12273,8 @@ "All Fuels (Wh/pkm)": 306.04572121086323, "Unlinked Passenger Trips": 23025, "Passenger Paid Fares": 164276, - "Average Fare": 7.134679695982627 + "Average Fare": 7.134679695982627, + "Average Passengers": 5.093219956694335 }, { "NTD ID": 90086, @@ -11372,7 +12286,8 @@ "All Fuels (Wh/pkm)": 571.3582560113828, "Unlinked Passenger Trips": 139878, "Passenger Paid Fares": 440478, - "Average Fare": 3.14901557071162 + "Average Fare": 3.14901557071162, + "Average Passengers": 1.8119607425187438 }, { "NTD ID": 90087, @@ -11384,7 +12299,8 @@ "All Fuels (Wh/pkm)": 2058.4430401151794, "Unlinked Passenger Trips": 23857, "Passenger Paid Fares": 23181, - "Average Fare": 0.9716645009850359 + "Average Fare": 0.9716645009850359, + "Average Passengers": 1.341437624633639 }, { "NTD ID": 90087, @@ -11396,7 +12312,8 @@ "All Fuels (Wh/pkm)": 2104.2320871629513, "Unlinked Passenger Trips": 663526, "Passenger Paid Fares": 749447, - "Average Fare": 1.1294915346195928 + "Average Fare": 1.1294915346195928, + "Average Passengers": 2.5975988645534747 }, { "NTD ID": 90088, @@ -11410,7 +12327,8 @@ "All Fuels (Wh/pkm)": 1639.409795957144, "Unlinked Passenger Trips": 103701, "Passenger Paid Fares": 218588, - "Average Fare": 2.107867812267963 + "Average Fare": 2.107867812267963, + "Average Passengers": 2.023283666540928 }, { "NTD ID": 90088, @@ -11426,7 +12344,8 @@ "All Fuels (Wh/pkm)": 783.4313766458783, "Unlinked Passenger Trips": 864352, "Passenger Paid Fares": 674860, - "Average Fare": 0.7807698715338196 + "Average Fare": 0.7807698715338196, + "Average Passengers": 4.650948651571256 }, { "NTD ID": 90089, @@ -11438,7 +12357,8 @@ "All Fuels (Wh/pkm)": 2367.0031604189053, "Unlinked Passenger Trips": 58772, "Passenger Paid Fares": 229443, - "Average Fare": 3.903950860954196 + "Average Fare": 3.903950860954196, + "Average Passengers": 0.9756912377961694 }, { "NTD ID": 90089, @@ -11454,7 +12374,8 @@ "All Fuels (Wh/pkm)": 349.26645980079667, "Unlinked Passenger Trips": 906863, "Passenger Paid Fares": 1280891, - "Average Fare": 1.412441570556964 + "Average Fare": 1.412441570556964, + "Average Passengers": 3.7642461609007496 }, { "NTD ID": 90090, @@ -11466,7 +12387,8 @@ "All Fuels (Wh/pkm)": 2325.699803008054, "Unlinked Passenger Trips": 23953, "Passenger Paid Fares": 50042, - "Average Fare": 2.0891746336575796 + "Average Fare": 2.0891746336575796, + "Average Passengers": 0.945855536645928 }, { "NTD ID": 90090, @@ -11480,7 +12402,8 @@ "All Fuels (Wh/pkm)": 283.73936875515, "Unlinked Passenger Trips": 1187499, "Passenger Paid Fares": 2076234, - "Average Fare": 1.7484090512918327 + "Average Fare": 1.7484090512918327, + "Average Passengers": 5.584489919429762 }, { "NTD ID": 90091, @@ -11492,7 +12415,8 @@ "All Fuels (Wh/pkm)": 178.4494741818309, "Unlinked Passenger Trips": 29200, "Passenger Paid Fares": 135433, - "Average Fare": 4.638116438356164 + "Average Fare": 4.638116438356164, + "Average Passengers": 4.792478415966282 }, { "NTD ID": 90091, @@ -11504,7 +12428,8 @@ "All Fuels (Wh/pkm)": 649.3009024393847, "Unlinked Passenger Trips": 39236, "Passenger Paid Fares": 7399, - "Average Fare": 0.1885768172086859 + "Average Fare": 0.1885768172086859, + "Average Passengers": 1.487329810035824 }, { "NTD ID": 90091, @@ -11516,7 +12441,8 @@ "All Fuels (Wh/pkm)": 510.448695038606, "Unlinked Passenger Trips": 1236081, "Passenger Paid Fares": 1089094, - "Average Fare": 0.8810862718543526 + "Average Fare": 0.8810862718543526, + "Average Passengers": 3.8662424131655757 }, { "NTD ID": 90092, @@ -11528,7 +12454,8 @@ "All Fuels (Wh/pkm)": 4092.416806290176, "Unlinked Passenger Trips": 21899, "Passenger Paid Fares": 113337, - "Average Fare": 5.175441800995479 + "Average Fare": 5.175441800995479, + "Average Passengers": 0.9432814930750935 }, { "NTD ID": 90092, @@ -11540,7 +12467,8 @@ "All Fuels (Wh/pkm)": 1422.7149245419218, "Unlinked Passenger Trips": 526175, "Passenger Paid Fares": 603760, - "Average Fare": 1.1474509431272866 + "Average Fare": 1.1474509431272866, + "Average Passengers": 1.650913573870996 }, { "NTD ID": 90093, @@ -11552,7 +12480,8 @@ "All Fuels (Wh/pkm)": 2484.934165081191, "Unlinked Passenger Trips": 49169, "Passenger Paid Fares": 150225, - "Average Fare": 3.055278732534727 + "Average Fare": 3.055278732534727, + "Average Passengers": 1.2917856828071594 }, { "NTD ID": 90093, @@ -11566,7 +12495,8 @@ "All Fuels (Wh/pkm)": 773.2860686366575, "Unlinked Passenger Trips": 580953, "Passenger Paid Fares": 544628, - "Average Fare": 0.9374734272824136 + "Average Fare": 0.9374734272824136, + "Average Passengers": 6.034308267124519 }, { "NTD ID": 90094, @@ -11578,7 +12508,8 @@ "All Fuels (Wh/pkm)": 194.7568535677718, "Unlinked Passenger Trips": 251570, "Passenger Paid Fares": 1296241, - "Average Fare": 5.152605636602138 + "Average Fare": 5.152605636602138, + "Average Passengers": 6.974426765931641 }, { "NTD ID": 90095, @@ -11590,7 +12521,8 @@ "All Fuels (Wh/pkm)": 304.58006967761105, "Unlinked Passenger Trips": 1746541, "Passenger Paid Fares": 9834341, - "Average Fare": 5.630753014100442 + "Average Fare": 5.630753014100442, + "Average Passengers": 4.987176279003751 }, { "NTD ID": 90119, @@ -11601,7 +12533,8 @@ "All Fuels (Wh/pkm)": 1011.7335746930542, "Unlinked Passenger Trips": 820829, "Passenger Paid Fares": 3528, - "Average Fare": 0.004298093756434044 + "Average Fare": 0.004298093756434044, + "Average Passengers": 4.826090295857048 }, { "NTD ID": 90121, @@ -11613,7 +12546,8 @@ "All Fuels (Wh/pkm)": 493.3508780531432, "Unlinked Passenger Trips": 288183, "Passenger Paid Fares": 2037036, - "Average Fare": 7.068550192065459 + "Average Fare": 7.068550192065459, + "Average Passengers": 10.984262242599222 }, { "NTD ID": 90121, @@ -11627,7 +12561,8 @@ "All Fuels (Wh/pkm)": 623.6054273320889, "Unlinked Passenger Trips": 2013685, "Passenger Paid Fares": 2399910, - "Average Fare": 1.1918001077626341 + "Average Fare": 1.1918001077626341, + "Average Passengers": 6.229586377683633 }, { "NTD ID": 90131, @@ -11635,7 +12570,8 @@ "UACE Code": "69184", "CNG (%)": 39.811631971606225, "CNG (Wh/pkm)": 1924.9165932533485, - "Unlinked Passenger Trips": 771520 + "Unlinked Passenger Trips": 771520, + "Average Passengers": 0.7183857745037124 }, { "NTD ID": 90134, @@ -11647,7 +12583,8 @@ "All Fuels (Wh/pkm)": 248.28808860417496, "Unlinked Passenger Trips": 17662773, "Passenger Paid Fares": 102668114, - "Average Fare": 5.812683772814156 + "Average Fare": 5.812683772814156, + "Average Passengers": 288.5155494942199 }, { "NTD ID": 90136, @@ -11663,7 +12600,8 @@ "All Fuels (Wh/pkm)": 575.6917302705706, "Unlinked Passenger Trips": 13875664, "Passenger Paid Fares": 9100598, - "Average Fare": 0.6558675678511673 + "Average Fare": 0.6558675678511673, + "Average Passengers": 3.974893574314798 }, { "NTD ID": 90136, @@ -11675,7 +12613,8 @@ "All Fuels (Wh/pkm)": 268.57872501448287, "Unlinked Passenger Trips": 1004018, "Passenger Paid Fares": 3372077, - "Average Fare": 3.3585822166534864 + "Average Fare": 3.3585822166534864, + "Average Passengers": 6.069458033073994 }, { "NTD ID": 90140, @@ -11687,7 +12626,8 @@ "All Fuels (Wh/pkm)": 3147.0571935979583, "Unlinked Passenger Trips": 21613, "Passenger Paid Fares": 27530, - "Average Fare": 1.2737704159533614 + "Average Fare": 1.2737704159533614, + "Average Passengers": 0.9997833408835752 }, { "NTD ID": 90142, @@ -11701,7 +12641,8 @@ "All Fuels (Wh/pkm)": 206.91996551903281, "Unlinked Passenger Trips": 3741782, "Passenger Paid Fares": 231319, - "Average Fare": 0.061820544328878596 + "Average Fare": 0.061820544328878596, + "Average Passengers": 9.618531646897289 }, { "NTD ID": 90144, @@ -11713,7 +12654,8 @@ "All Fuels (Wh/pkm)": 1058.441336632354, "Unlinked Passenger Trips": 1660443, "Passenger Paid Fares": 1588905, - "Average Fare": 0.9569163169106076 + "Average Fare": 0.9569163169106076, + "Average Passengers": 3.897729823952284 }, { "NTD ID": 90146, @@ -11727,7 +12669,8 @@ "All Fuels (Wh/pkm)": 311.0949458490844, "Unlinked Passenger Trips": 12053307, "Passenger Paid Fares": 16079596, - "Average Fare": 1.3340401932847143 + "Average Fare": 1.3340401932847143, + "Average Passengers": 6.220137989528072 }, { "NTD ID": 90147, @@ -11739,7 +12682,8 @@ "All Fuels (Wh/pkm)": 336.8080337405062, "Unlinked Passenger Trips": 1563113, "Passenger Paid Fares": 3470659, - "Average Fare": 2.2203506720243515 + "Average Fare": 2.2203506720243515, + "Average Passengers": 7.530253805193638 }, { "NTD ID": 90147, @@ -11749,7 +12693,8 @@ "CNG (Wh/pkm)": 1132.9479870330815, "Unlinked Passenger Trips": 198289, "Passenger Paid Fares": 128375, - "Average Fare": 0.6474136235494656 + "Average Fare": 0.6474136235494656, + "Average Passengers": 0.7502685446068807 }, { "NTD ID": 90147, @@ -11764,7 +12709,8 @@ "All Fuels (Wh/pkm)": 596.4074087512306, "Unlinked Passenger Trips": 17467066, "Passenger Paid Fares": 6828881, - "Average Fare": 0.39095753116178755 + "Average Fare": 0.39095753116178755, + "Average Passengers": 5.244015822614223 }, { "NTD ID": 90148, @@ -11778,7 +12724,8 @@ "All Fuels (Wh/pkm)": 257.75266693089304, "Unlinked Passenger Trips": 189182, "Passenger Paid Fares": 359960, - "Average Fare": 1.902718017570382 + "Average Fare": 1.902718017570382, + "Average Passengers": 2.2044222844843455 }, { "NTD ID": 90148, @@ -11786,7 +12733,8 @@ "UACE Code": "90541", "Unlinked Passenger Trips": 1442723, "Passenger Paid Fares": 1983377, - "Average Fare": 1.3747455332728458 + "Average Fare": 1.3747455332728458, + "Average Passengers": 2.7056562229231593 }, { "NTD ID": 90148, @@ -11798,7 +12746,8 @@ "All Fuels (Wh/pkm)": 356.00788563960134, "Unlinked Passenger Trips": 572713, "Passenger Paid Fares": 2900698, - "Average Fare": 5.064837012604917 + "Average Fare": 5.064837012604917, + "Average Passengers": 4.889303798680055 }, { "NTD ID": 90151, @@ -11810,7 +12759,8 @@ "All Fuels (Wh/pkm)": 462.060565802935, "Unlinked Passenger Trips": 12824059, "Passenger Paid Fares": 69601124, - "Average Fare": 5.427386446054249 + "Average Fare": 5.427386446054249, + "Average Passengers": 145.44093237084004 }, { "NTD ID": 90154, @@ -11822,7 +12772,8 @@ "All Fuels (Wh/pkm)": 48.57334135476808, "Unlinked Passenger Trips": 43074277, "Passenger Paid Fares": 29276373, - "Average Fare": 0.6796718375563217 + "Average Fare": 0.6796718375563217, + "Average Passengers": 147.65888595069765 }, { "NTD ID": 90154, @@ -11834,7 +12785,8 @@ "All Fuels (Wh/pkm)": 79.90901861408514, "Unlinked Passenger Trips": 59655365, "Passenger Paid Fares": 40576081, - "Average Fare": 0.6801748845221214 + "Average Fare": 0.6801748845221214, + "Average Passengers": 65.33550470663447 }, { "NTD ID": 90154, @@ -11846,7 +12798,8 @@ "All Fuels (Wh/pkm)": 201.48348596256366, "Unlinked Passenger Trips": 266887614, "Passenger Paid Fares": 171493804, - "Average Fare": 0.6425693625482373 + "Average Fare": 0.6425693625482373, + "Average Passengers": 12.926942039058158 }, { "NTD ID": 90154, @@ -11860,7 +12813,8 @@ "All Fuels (Wh/pkm)": 370.0411460711641, "Unlinked Passenger Trips": 3240720, "Passenger Paid Fares": 15580993, - "Average Fare": 4.807880039003678 + "Average Fare": 4.807880039003678, + "Average Passengers": 4.9843084827059325 }, { "NTD ID": 90156, @@ -11874,7 +12828,8 @@ "All Fuels (Wh/pkm)": 864.5406851361023, "Unlinked Passenger Trips": 981995, "Passenger Paid Fares": 185450, - "Average Fare": 0.18885024872835401 + "Average Fare": 0.18885024872835401, + "Average Passengers": 6.47426190668612 }, { "NTD ID": 90157, @@ -11888,7 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Passengers": 6.329889842867737 }, { "NTD ID": 90223, @@ -12351,7 +13343,8 @@ "All Fuels (Wh/pkm)": 3063.2207287413135, "Unlinked Passenger Trips": 336068, "Passenger Paid Fares": 1536554, - "Average Fare": 4.572152064463144 + "Average Fare": 4.572152064463144, + "Average Passengers": 0.9114796706160508 }, { "NTD ID": 90225, @@ -12363,7 +13356,8 @@ "All Fuels (Wh/pkm)": 1785.5971187575221, "Unlinked Passenger Trips": 3048876, "Passenger Paid Fares": 22434950, - "Average Fare": 7.358433075008626 + "Average Fare": 7.358433075008626, + "Average Passengers": 92.14085911354088 }, { "NTD ID": 90226, @@ -12375,7 +13369,8 @@ "All Fuels (Wh/pkm)": 1292.3127263764347, "Unlinked Passenger Trips": 35461, "Passenger Paid Fares": 109126, - "Average Fare": 3.077352584529483 + "Average Fare": 3.077352584529483, + "Average Passengers": 2.4526870828407645 }, { "NTD ID": 90226, @@ -12389,7 +13384,8 @@ "All Fuels (Wh/pkm)": 593.1038791471336, "Unlinked Passenger Trips": 747878, "Passenger Paid Fares": 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"Average Passengers": 0.8657395584240708 }, { "NTD ID": 90233, @@ -12490,7 +13493,8 @@ "All Fuels (Wh/pkm)": 405.854895625829, "Unlinked Passenger Trips": 67922, "Passenger Paid Fares": 335101, - "Average Fare": 4.933615029003858 + "Average Fare": 4.933615029003858, + "Average Passengers": 5.068992120476474 }, { "NTD ID": 90234, @@ -12502,7 +13506,8 @@ "All Fuels (Wh/pkm)": 2920.973369594152, "Unlinked Passenger Trips": 108076, "Passenger Paid Fares": 320410, - "Average Fare": 2.9646730078833414 + "Average Fare": 2.9646730078833414, + "Average Passengers": 0.8171028252501749 }, { "NTD ID": 90234, @@ -12518,7 +13523,8 @@ "All Fuels (Wh/pkm)": 1005.4337980191085, "Unlinked Passenger Trips": 2978991, "Passenger Paid Fares": 2517842, - "Average Fare": 0.845199599461697 + "Average Fare": 0.845199599461697, + "Average Passengers": 4.5040493167874915 }, { "NTD ID": 90241, @@ -12532,7 +13538,8 @@ "All Fuels (Wh/pkm)": 1436.055933370744, "Unlinked Passenger Trips": 281780, "Passenger Paid Fares": 107131, - "Average Fare": 0.38019376818794803 + "Average Fare": 0.38019376818794803, + "Average Passengers": 1.4289262888537868 }, { "NTD ID": 90241, @@ -12546,7 +13553,8 @@ "All Fuels (Wh/pkm)": 716.8409606421527, "Unlinked Passenger Trips": 1632230, "Passenger Paid Fares": 2078319, - "Average Fare": 1.2733003314483866 + "Average Fare": 1.2733003314483866, + "Average Passengers": 8.258894966225037 }, { "NTD ID": 90244, @@ -12558,7 +13566,8 @@ "All Fuels (Wh/pkm)": 5087.284128573475, "Unlinked Passenger Trips": 17690, "Passenger Paid Fares": 37282, - "Average Fare": 2.10751837196156 + "Average Fare": 2.10751837196156, + "Average Passengers": 0.9779644306731029 }, { "NTD ID": 90244, @@ -12570,7 +13579,8 @@ "All Fuels (Wh/pkm)": 473.2331190316067, "Unlinked Passenger Trips": 292805, "Passenger Paid Fares": 232797, - "Average Fare": 0.7950581444988986 + "Average Fare": 0.7950581444988986, + "Average Passengers": 2.236669566730468 }, { "NTD ID": 90299, @@ -12582,7 +13592,8 @@ "All 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"Average Passengers": 1.494826082966226 }, { "NTD ID": 99423, @@ -12630,7 +13644,8 @@ "All Fuels (Wh/pkm)": 505.6369426844462, "Unlinked Passenger Trips": 1411254, "Passenger Paid Fares": 833072, - "Average Fare": 0.5903062099381118 + "Average Fare": 0.5903062099381118, + "Average Passengers": 4.071392415048943 }, { "NTD ID": 99424, @@ -12642,7 +13657,8 @@ "All Fuels (Wh/pkm)": 1926.0432725642754, "Unlinked Passenger Trips": 90865, "Passenger Paid Fares": 51251, - "Average Fare": 0.5640345567600286 + "Average Fare": 0.5640345567600286, + "Average Passengers": 1.202561671513744 }, { "NTD ID": 99424, @@ -12654,7 +13670,8 @@ "All Fuels (Wh/pkm)": 482.46550737113137, "Unlinked Passenger Trips": 1489376, "Passenger Paid Fares": 687525, - "Average Fare": 0.46161949702425714 + "Average Fare": 0.46161949702425714, + "Average Passengers": 3.386254698303749 } ], "metadata": { diff --git a/src/emcommon/resources/ntd2020_intensities.json b/src/emcommon/resources/ntd2020_intensities.json index 5ba0dda..61aabb8 100644 --- a/src/emcommon/resources/ntd2020_intensities.json +++ b/src/emcommon/resources/ntd2020_intensities.json @@ -13,7 +13,8 @@ "All Fuels (Wh/pkm)": 3325.827537304041, "Unlinked Passenger Trips": 541851, "Passenger Paid Fares": 431799, - "Average Fare": 0.796896194710354 + "Average Fare": 0.796896194710354, + "Average Passengers": 0.8750789720769228 }, { "NTD ID": 1, @@ -25,7 +26,8 @@ "All Fuels (Wh/pkm)": 3798.4442861712055, "Unlinked Passenger Trips": 146930, "Passenger Paid Fares": 205700, - "Average Fare": 1.3999863880759544 + "Average Fare": 1.3999863880759544, + "Average Passengers": 24.92767330588628 }, { "NTD ID": 1, @@ -41,7 +43,8 @@ "All Fuels (Wh/pkm)": 987.2464492147052, "Unlinked Passenger Trips": 49257744, "Passenger Paid Fares": 23942299, - "Average Fare": 0.4860616231226505 + "Average Fare": 0.4860616231226505, + "Average Passengers": 5.327012625065224 }, { "NTD ID": 1, @@ -53,7 +56,8 @@ "All Fuels (Wh/pkm)": 1327.63890581724, "Unlinked Passenger Trips": 749443, "Passenger Paid Fares": 160778, - "Average Fare": 0.21452999093993805 + "Average Fare": 0.21452999093993805, + "Average Passengers": 6.130984387838948 }, { "NTD ID": 1, @@ -65,7 +69,8 @@ "All Fuels (Wh/pkm)": 682.6412054375037, "Unlinked Passenger Trips": 8385162, "Passenger Paid Fares": 2718897, - "Average Fare": 0.32425098048195133 + "Average Fare": 0.32425098048195133, + "Average Passengers": 6.206813460772349 }, { "NTD ID": 1, @@ -77,7 +82,8 @@ "All Fuels (Wh/pkm)": 257.8755041616953, "Unlinked Passenger Trips": 1084802, "Passenger Paid Fares": 847493, - "Average Fare": 0.7812421068545228 + "Average Fare": 0.7812421068545228, + "Average Passengers": 4.7089687032684315 }, { "NTD ID": 2, @@ -91,7 +97,8 @@ "All Fuels (Wh/pkm)": 1812.0952979693552, "Unlinked Passenger Trips": 205815, "Passenger Paid Fares": 339016, - "Average Fare": 1.6471880086485435 + "Average Fare": 1.6471880086485435, + "Average Passengers": 0.8187350334026764 }, { "NTD ID": 2, @@ -103,7 +110,8 @@ "All Fuels (Wh/pkm)": 1132.2196938909658, "Unlinked Passenger Trips": 5817776, "Passenger Paid Fares": 4082987, - "Average Fare": 0.701812342035857 + "Average Fare": 0.701812342035857, + "Average Passengers": 3.6537525803106163 }, { "NTD ID": 2, @@ -115,7 +123,8 @@ "All Fuels (Wh/pkm)": 371.09074379224035, "Unlinked Passenger Trips": 90770, "Passenger Paid Fares": 191481, - "Average Fare": 2.109518563402005 + "Average Fare": 2.109518563402005, + "Average Passengers": 3.2858827420797434 }, { "NTD ID": 3, @@ -129,7 +138,8 @@ "All Fuels (Wh/pkm)": 3759.948809939413, "Unlinked Passenger Trips": 150289, "Passenger Paid Fares": 180140, - "Average Fare": 1.1986239844566136 + "Average Fare": 1.1986239844566136, + "Average Passengers": 0.7677219245001989 }, { "NTD ID": 3, @@ -145,7 +155,8 @@ "All Fuels (Wh/pkm)": 463.6622572105935, "Unlinked Passenger Trips": 4755960, "Passenger Paid Fares": 4416932, - "Average Fare": 0.9287151279657524 + "Average Fare": 0.9287151279657524, + "Average Passengers": 4.0885655213114225 }, { "NTD ID": 3, @@ -157,7 +168,8 @@ "All Fuels (Wh/pkm)": 321.90811595143384, "Unlinked Passenger Trips": 397472, "Passenger Paid Fares": 1750544, - "Average Fare": 4.404194509298768 + "Average Fare": 4.404194509298768, + "Average Passengers": 3.964671399251319 }, { "NTD ID": 5, @@ -165,7 +177,8 @@ "UACE Code": "80389", "Unlinked Passenger Trips": 53400, "Passenger Paid Fares": 70111, - "Average Fare": 1.312940074906367 + "Average Fare": 1.312940074906367, + "Average Passengers": 0.7042183711736675 }, { "NTD ID": 5, @@ -179,7 +192,8 @@ "All Fuels (Wh/pkm)": 1540.5177705505168, "Unlinked Passenger Trips": 807733, "Passenger Paid Fares": 324326, - "Average Fare": 0.4015262469157506 + "Average Fare": 0.4015262469157506, + "Average Passengers": 2.983318357431506 }, { "NTD ID": 6, @@ -191,7 +205,8 @@ "All Fuels (Wh/pkm)": 3648.571551552961, "Unlinked Passenger Trips": 36910, "Passenger Paid Fares": 74970, - "Average Fare": 2.0311568680574372 + "Average Fare": 2.0311568680574372, + "Average Passengers": 0.605375680735194 }, { "NTD ID": 6, @@ -203,7 +218,8 @@ "All Fuels (Wh/pkm)": 1610.313064845032, "Unlinked Passenger Trips": 536746, "Passenger Paid Fares": 297699, - "Average Fare": 0.5546366437756406 + "Average Fare": 0.5546366437756406, + "Average Passengers": 3.0905638320934536 }, { "NTD ID": 6, @@ -215,7 +231,8 @@ "All Fuels (Wh/pkm)": 285.458004832601, "Unlinked Passenger Trips": 6554, "Passenger Paid Fares": 34430, - "Average Fare": 5.253280439426304 + "Average Fare": 5.253280439426304, + "Average Passengers": 6.0534857571214395 }, { "NTD ID": 7, @@ -227,7 +244,8 @@ "All Fuels (Wh/pkm)": 617.9763529985139, "Unlinked Passenger Trips": 453983, "Passenger Paid Fares": 234258, - "Average Fare": 0.5160061059555093 + "Average Fare": 0.5160061059555093, + "Average Passengers": 4.628902009144469 }, { "NTD ID": 7, @@ -243,7 +261,8 @@ "All Fuels (Wh/pkm)": 787.6424202562863, "Unlinked Passenger Trips": 4754245, "Passenger Paid Fares": 1714620, - "Average Fare": 0.36065032407879694 + "Average Fare": 0.36065032407879694, + "Average Passengers": 6.926816572898743 }, { "NTD ID": 7, @@ -255,7 +274,8 @@ "All Fuels (Wh/pkm)": 536.9603574402291, "Unlinked Passenger Trips": 3294327, "Passenger Paid Fares": 1332428, - "Average Fare": 0.40446136646422776 + "Average Fare": 0.40446136646422776, + "Average Passengers": 12.352861895053117 }, { "NTD ID": 7, @@ -267,7 +287,8 @@ "All Fuels (Wh/pkm)": 358.9400439615303, "Unlinked Passenger Trips": 30475, "Passenger Paid Fares": 173392, - "Average Fare": 5.689647251845775 + "Average Fare": 5.689647251845775, + "Average Passengers": 5.318595541217812 }, { "NTD ID": 8, @@ -279,7 +300,8 @@ "All Fuels (Wh/pkm)": 2006.339067647571, "Unlinked Passenger Trips": 722565, "Passenger Paid Fares": 1580466, - "Average Fare": 2.187299412509601 + "Average Fare": 2.187299412509601, + "Average Passengers": 1.1716770520559399 }, { "NTD ID": 8, @@ -291,7 +313,8 @@ "All Fuels (Wh/pkm)": 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@@ -341,7 +367,8 @@ "All Fuels (Wh/pkm)": 502.3089658690827, "Unlinked Passenger Trips": 1205204, "Passenger Paid Fares": 439039, - "Average Fare": 0.36428604617973387 + "Average Fare": 0.36428604617973387, + "Average Passengers": 3.0215616319696483 }, { "NTD ID": 12, @@ -353,7 +380,8 @@ "All Fuels (Wh/pkm)": 6919.512986056293, "Unlinked Passenger Trips": 78001, "Passenger Paid Fares": 129368, - "Average Fare": 1.6585428391943693 + "Average Fare": 1.6585428391943693, + "Average Passengers": 0.7112098307845928 }, { "NTD ID": 12, @@ -365,7 +393,8 @@ "All Fuels (Wh/pkm)": 1682.4360642187596, "Unlinked Passenger Trips": 1710144, "Passenger Paid Fares": 1927599, - "Average Fare": 1.1271559587964521 + "Average Fare": 1.1271559587964521, + "Average Passengers": 3.8507742341638447 }, { "NTD ID": 12, @@ -377,7 +406,8 @@ "All Fuels (Wh/pkm)": 434.7947232431315, "Unlinked Passenger Trips": 146075, "Passenger Paid Fares": 1096078, - "Average Fare": 7.503529009070683 + "Average Fare": 7.503529009070683, + "Average Passengers": 4.637667174910848 }, { "NTD ID": 16, @@ -390,7 +420,8 @@ "All Fuels (Wh/pkm)": 7348.928942300558, "Unlinked Passenger Trips": 26222, "Passenger Paid Fares": 14091, - "Average Fare": 0.5373731980779498 + "Average Fare": 0.5373731980779498, + "Average Passengers": 0.6305853412908711 }, { "NTD ID": 16, @@ -402,7 +433,8 @@ "All Fuels (Wh/pkm)": 1540.6270025053493, "Unlinked Passenger Trips": 204103, "Passenger Paid Fares": 50427, - "Average Fare": 0.24706643214455445 + "Average Fare": 0.24706643214455445, + "Average Passengers": 3.1966783184720855 }, { "NTD ID": 18, @@ -414,7 +446,8 @@ "All Fuels (Wh/pkm)": 4006.1350532128877, "Unlinked Passenger Trips": 173303, "Passenger Paid Fares": 33401, - "Average Fare": 0.19273180498894998 + "Average Fare": 0.19273180498894998, + "Average Passengers": 0.7761482973582878 }, { "NTD ID": 18, @@ -426,7 +459,8 @@ "All Fuels (Wh/pkm)": 2362.77538081153, "Unlinked Passenger Trips": 1218177, "Passenger Paid Fares": 126329, - "Average Fare": 0.1037033206176114 + "Average Fare": 0.1037033206176114, + "Average Passengers": 1.7733280452442812 }, { "NTD ID": 18, @@ -438,7 +472,8 @@ "All Fuels (Wh/pkm)": 217.06590173222665, "Unlinked Passenger Trips": 221933, "Passenger Paid Fares": 608746, - "Average Fare": 2.7429269193855803 + "Average Fare": 2.7429269193855803, + "Average Passengers": 5.607058068226656 }, { "NTD ID": 19, @@ -449,7 +484,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2995.6098083579786, "All Fuels (Wh/pkm)": 3469.9506960381723, - "Unlinked Passenger Trips": 143104 + "Unlinked Passenger Trips": 143104, + "Average Passengers": 0.8314414979551357 }, { "NTD ID": 19, @@ -459,7 +495,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 805.796659031956, "All Fuels (Wh/pkm)": 805.796659031956, - "Unlinked Passenger Trips": 1851237 + "Unlinked Passenger Trips": 1851237, + "Average Passengers": 4.552118084920012 }, { "NTD ID": 19, @@ -471,7 +508,8 @@ "All Fuels (Wh/pkm)": 205.6476724438462, "Unlinked Passenger Trips": 284796, "Passenger Paid Fares": 299046, - "Average Fare": 1.0500358151097628 + "Average Fare": 1.0500358151097628, + "Average Passengers": 5.96890229166577 }, { "NTD ID": 20, @@ -486,7 +524,8 @@ "All Fuels (Wh/pkm)": 2880.9757708863144, "Unlinked Passenger Trips": 135989, "Passenger Paid Fares": 100856, - "Average Fare": 0.741648221547331 + "Average Fare": 0.741648221547331, + "Average Passengers": 0.898342085733185 }, { "NTD ID": 20, @@ -498,7 +537,8 @@ "All Fuels (Wh/pkm)": 3837.0202151793583, "Unlinked Passenger Trips": 515659, "Passenger Paid Fares": 1693177, - "Average Fare": 3.2835206987563486 + "Average Fare": 3.2835206987563486, + "Average Passengers": 22.57433023988793 }, { "NTD ID": 20, @@ -513,7 +553,8 @@ "All Fuels (Wh/pkm)": 1561.1997413562062, "Unlinked Passenger Trips": 1220764, "Passenger Paid Fares": 1905331, - "Average Fare": 1.5607693215068597 + "Average Fare": 1.5607693215068597, + "Average Passengers": 2.5454813278730275 }, { "NTD ID": 20, @@ -527,7 +568,8 @@ "All Fuels (Wh/pkm)": 391.02475684760424, "Unlinked Passenger Trips": 77466, "Passenger Paid Fares": 175381, - "Average Fare": 2.2639738724085405 + "Average Fare": 2.2639738724085405, + "Average Passengers": 3.703742639872226 }, { "NTD ID": 21, @@ -540,7 +582,8 @@ "All Fuels (Wh/pkm)": 4109.334715664855, "Unlinked Passenger Trips": 113482, "Passenger Paid Fares": 17381, - "Average Fare": 0.15316085370367108 + "Average Fare": 0.15316085370367108, + "Average Passengers": 0.8331333809169462 }, { "NTD ID": 21, @@ -552,7 +595,8 @@ "All Fuels (Wh/pkm)": 1534.0733958433916, "Unlinked Passenger Trips": 1917385, "Passenger Paid Fares": 281979, - "Average Fare": 0.14706436109597185 + "Average Fare": 0.14706436109597185, + "Average Passengers": 3.2192479485848464 }, { "NTD ID": 21, @@ -564,7 +608,8 @@ "All Fuels (Wh/pkm)": 391.47867755357225, "Unlinked Passenger Trips": 18765, "Passenger Paid Fares": 72850, - "Average Fare": 3.8822275512922997 + "Average Fare": 3.8822275512922997, + "Average Passengers": 4.618588741328806 }, { "NTD ID": 23, @@ -576,7 +621,8 @@ "All Fuels (Wh/pkm)": 170.29188180022416, "Unlinked Passenger Trips": 298349, "Passenger Paid Fares": 695044, - "Average Fare": 2.3296340862546883 + "Average Fare": 2.3296340862546883, + "Average Passengers": 9.108653617829642 }, { "NTD ID": 24, @@ -588,7 +634,8 @@ "All Fuels (Wh/pkm)": 2356.5378258965993, "Unlinked Passenger Trips": 112524, "Passenger Paid Fares": 244101, - "Average Fare": 2.1693238775727846 + "Average Fare": 2.1693238775727846, + "Average Passengers": 0.9066967082286921 }, { "NTD ID": 24, @@ -602,7 +649,8 @@ "All Fuels (Wh/pkm)": 1077.900503049723, "Unlinked Passenger Trips": 3696783, "Passenger Paid Fares": 3194904, - "Average Fare": 0.8642389883312058 + "Average Fare": 0.8642389883312058, + "Average Passengers": 4.126599788028368 }, { "NTD ID": 24, @@ -614,7 +662,8 @@ "All Fuels (Wh/pkm)": 303.2236777167925, "Unlinked Passenger Trips": 23142, "Passenger Paid Fares": 113968, - "Average Fare": 4.9247256071212515 + "Average Fare": 4.9247256071212515, + "Average Passengers": 3.427828235878308 }, { "NTD ID": 25, @@ -628,7 +677,8 @@ "All Fuels (Wh/pkm)": 1427.180047294163, "Unlinked Passenger Trips": 114522, "Passenger Paid Fares": 166831, - "Average Fare": 1.4567593999406228 + "Average Fare": 1.4567593999406228, + "Average Passengers": 1.0060174271624718 }, { "NTD ID": 25, @@ -642,7 +692,8 @@ "All Fuels (Wh/pkm)": 1267.9290752669003, "Unlinked Passenger Trips": 2700897, "Passenger Paid Fares": 1745268, - "Average Fare": 0.6461808799076751 + "Average Fare": 0.6461808799076751, + "Average Passengers": 3.5863275876099716 }, { "NTD ID": 25, @@ -654,7 +705,8 @@ "All Fuels (Wh/pkm)": 426.5604294802979, "Unlinked Passenger Trips": 59152, "Passenger Paid Fares": 290192, - "Average Fare": 4.905869624019475 + "Average Fare": 4.905869624019475, + "Average Passengers": 4.632753970948241 }, { "NTD ID": 28, @@ -666,7 +718,8 @@ "All Fuels (Wh/pkm)": 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}, { "NTD ID": 29, @@ -714,7 +770,8 @@ "All Fuels (Wh/pkm)": 309.9363696160305, "Unlinked Passenger Trips": 302038, "Passenger Paid Fares": 953856, - "Average Fare": 3.158066203590277 + "Average Fare": 3.158066203590277, + "Average Passengers": 3.2866209861121316 }, { "NTD ID": 34, @@ -726,7 +783,8 @@ "All Fuels (Wh/pkm)": 2478.878390232811, "Unlinked Passenger Trips": 43300, "Passenger Paid Fares": 112176, - "Average Fare": 2.5906697459584294 + "Average Fare": 2.5906697459584294, + "Average Passengers": 0.7117091042403806 }, { "NTD ID": 34, @@ -740,7 +798,8 @@ "All Fuels (Wh/pkm)": 709.112354215243, "Unlinked Passenger Trips": 1042725, "Passenger Paid Fares": 1117972, - "Average Fare": 1.0721638015775972 + "Average Fare": 1.0721638015775972, + "Average Passengers": 4.708773991382687 }, { "NTD ID": 35, @@ -752,7 +811,8 @@ "All Fuels (Wh/pkm)": 2765.5928244989072, "Unlinked Passenger Trips": 19376331, "Passenger Paid Fares": 62242674, - "Average Fare": 3.2123044347250262 + "Average Fare": 3.2123044347250262, + "Average Passengers": 170.59312998185294 }, { "NTD ID": 40, @@ -766,7 +826,8 @@ "All Fuels (Wh/pkm)": 775.691391438404, "Unlinked Passenger Trips": 6264772, "Passenger Paid Fares": 4489152, - "Average Fare": 0.716570690840784 + "Average Fare": 0.716570690840784, + "Average Passengers": 6.283798497382271 }, { "NTD ID": 40, @@ -778,7 +839,8 @@ "All Fuels (Wh/pkm)": 346.36653316670396, "Unlinked Passenger Trips": 1265882, "Passenger Paid Fares": 1287533, - "Average Fare": 1.0171034898987426 + "Average Fare": 1.0171034898987426, + "Average Passengers": 127.3319864405697 }, { "NTD ID": 40, @@ -790,7 +852,8 @@ "All Fuels (Wh/pkm)": 69.94146604711561, "Unlinked Passenger Trips": 7900122, "Passenger Paid Fares": 3919712, - "Average Fare": 0.496158413756142 + "Average Fare": 0.496158413756142, + "Average Passengers": 42.725689177037495 }, { "NTD ID": 40, @@ -800,7 +863,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 609.8337150135857, "All Fuels (Wh/pkm)": 609.8337150135857, - "Unlinked Passenger Trips": 439271 + "Unlinked Passenger Trips": 439271, + "Average Passengers": 5.140803310228501 }, { "NTD ID": 41, @@ -812,7 +876,8 @@ "All Fuels (Wh/pkm)": 225.2208345602126, "Unlinked Passenger Trips": 31960, "Passenger Paid Fares": 2732492, - "Average Fare": 85.49724655819774 + "Average Fare": 85.49724655819774, + "Average Passengers": 45.30575758620293 }, { "NTD ID": 43, @@ -821,7 +886,8 @@ "Other (%)": 100.0, "Unlinked Passenger Trips": 40221, "Passenger Paid Fares": 7170, - "Average Fare": 0.17826508540314762 + "Average Fare": 0.17826508540314762, + "Average Passengers": 0.5703666173199173 }, { "NTD ID": 43, @@ -836,7 +902,8 @@ "All Fuels (Wh/pkm)": 1533.5938192385968, "Unlinked Passenger Trips": 705115, "Passenger Paid Fares": 117817, - "Average Fare": 0.1670890563950561 + "Average Fare": 0.1670890563950561, + "Average Passengers": 2.536095805452658 }, { "NTD ID": 44, @@ -848,7 +915,8 @@ "All Fuels (Wh/pkm)": 2059.4685096902886, "Unlinked Passenger Trips": 60805, "Passenger Paid Fares": 38862, - "Average Fare": 0.6391250719513198 + "Average Fare": 0.6391250719513198, + "Average Passengers": 4.877923103742992 }, { "NTD ID": 44, @@ -861,7 +929,8 @@ "All Fuels (Wh/pkm)": 6015.141272503856, "Unlinked Passenger Trips": 38607, "Passenger Paid Fares": 25899, - "Average Fare": 0.6708368948636257 + "Average Fare": 0.6708368948636257, + "Average Passengers": 0.5956412134138316 }, { "NTD ID": 44, @@ -869,7 +938,8 @@ "UACE Code": "60490", "Unlinked Passenger Trips": 236772, "Passenger Paid Fares": 160739, - "Average Fare": 0.6788767252884632 + "Average Fare": 0.6788767252884632, + "Average Passengers": 1.3586314517752869 }, { "NTD ID": 44, @@ -881,7 +951,8 @@ "All Fuels (Wh/pkm)": 276.45202651125715, "Unlinked Passenger Trips": 62739, "Passenger Paid Fares": 328470, - "Average Fare": 5.2354994501028065 + "Average Fare": 5.2354994501028065, + "Average Passengers": 4.085775147654422 }, { "NTD ID": 46, @@ -893,7 +964,8 @@ "All Fuels (Wh/pkm)": 1547.4440284806487, "Unlinked Passenger Trips": 12687, "Passenger Paid Fares": 4316, - "Average Fare": 0.340190746433357 + "Average Fare": 0.340190746433357, + "Average Passengers": 0.7706339193740668 }, { "NTD ID": 46, @@ -911,7 +983,8 @@ "All Fuels (Wh/pkm)": 691.4383136140574, "Unlinked Passenger Trips": 228986, "Passenger Paid Fares": 136619, - "Average Fare": 0.59662599460229 + "Average Fare": 0.59662599460229, + "Average Passengers": 3.0148023440395524 }, { "NTD ID": 57, @@ -925,7 +998,8 @@ "All Fuels (Wh/pkm)": 648.0325100290775, "Unlinked Passenger Trips": 184493, "Passenger Paid Fares": 196292, - "Average Fare": 1.0639536459377863 + "Average Fare": 1.0639536459377863, + "Average Passengers": 4.916574582299271 }, { "NTD ID": 57, @@ -937,7 +1011,8 @@ "All Fuels (Wh/pkm)": 4932.048026729905, "Unlinked Passenger Trips": 66525, "Passenger Paid Fares": 78158, - "Average Fare": 1.1748665915069523 + "Average Fare": 1.1748665915069523, + "Average Passengers": 0.6621982391366089 }, { "NTD ID": 57, @@ -951,7 +1026,8 @@ "All Fuels (Wh/pkm)": 741.757000026889, "Unlinked Passenger Trips": 384644, "Passenger Paid Fares": 295423, - "Average Fare": 0.7680426576262726 + "Average Fare": 0.7680426576262726, + "Average Passengers": 3.2300358445802555 }, { "NTD ID": 58, @@ -963,7 +1039,8 @@ "All Fuels (Wh/pkm)": 374.9297026418206, "Unlinked Passenger Trips": 3154485, "Passenger Paid Fares": 899413, - "Average Fare": 0.2851219771214636 + "Average Fare": 0.2851219771214636, + "Average Passengers": 10.436145007571033 }, { "NTD ID": 58, @@ -975,7 +1052,8 @@ "All Fuels (Wh/pkm)": 225.01609478870068, "Unlinked Passenger Trips": 1623216, "Passenger Paid Fares": 565941, - "Average Fare": 0.3486541532365378 + "Average Fare": 0.3486541532365378, + "Average Passengers": 31.924587443532772 }, { "NTD ID": 376, @@ -985,7 +1063,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1349.451229097233, "All Fuels (Wh/pkm)": 1349.451229097233, - "Unlinked Passenger Trips": 148141 + "Unlinked Passenger Trips": 148141, + "Average Passengers": 1.3714061992512154 }, { "NTD ID": 376, @@ -997,7 +1076,8 @@ "All Fuels (Wh/pkm)": 2591.490973261471, "Unlinked Passenger Trips": 120045, "Passenger Paid Fares": 37913, - "Average Fare": 0.3158232329543088 + "Average Fare": 0.3158232329543088, + "Average Passengers": 1.4365323581659122 }, { "NTD ID": 415, @@ -1009,7 +1089,8 @@ "All Fuels (Wh/pkm)": 271.9432622026074, "Unlinked Passenger Trips": 117864, "Passenger Paid Fares": 795054, - "Average Fare": 6.745520260639381 + "Average Fare": 6.745520260639381, + "Average Passengers": 6.936879584656666 }, { "NTD ID": 10001, @@ -1023,7 +1104,8 @@ "All Fuels (Wh/pkm)": 1797.4283853572592, "Unlinked Passenger Trips": 312382, "Passenger Paid Fares": 219726, - "Average Fare": 0.703388799610733 + "Average Fare": 0.703388799610733, + "Average Passengers": 1.607380076417902 }, { "NTD ID": 10001, @@ -1035,7 +1117,8 @@ "All Fuels (Wh/pkm)": 822.2406439204033, "Unlinked Passenger 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0.9353872435203755, + "Average Passengers": 9.245117379941702 }, { "NTD ID": 10003, @@ -1132,7 +1222,8 @@ "All Fuels (Wh/pkm)": 834.5011695142105, "Unlinked Passenger Trips": 9214174, "Passenger Paid Fares": 8415415, - "Average Fare": 0.9133119257352856 + "Average Fare": 0.9133119257352856, + "Average Passengers": 12.437345655464195 }, { "NTD ID": 10003, @@ -1144,7 +1235,8 @@ "All Fuels (Wh/pkm)": 361.42384015309045, "Unlinked Passenger Trips": 2048150, "Passenger Paid Fares": 1511126, - "Average Fare": 0.7378004540683055 + "Average Fare": 0.7378004540683055, + "Average Passengers": 12.60492901790444 }, { "NTD ID": 10004, @@ -1158,7 +1250,8 @@ "All Fuels (Wh/pkm)": 2395.3555438386097, "Unlinked Passenger Trips": 128321, "Passenger Paid Fares": 132523, - "Average Fare": 1.032746004161439 + "Average Fare": 1.032746004161439, + "Average Passengers": 1.1088147480715678 }, { "NTD ID": 10004, @@ -1170,7 +1263,8 @@ "All Fuels (Wh/pkm)": 495.87379035420474, "Unlinked Passenger Trips": 1990464, "Passenger Paid Fares": 1883339, - "Average Fare": 0.9461808904858364 + "Average Fare": 0.9461808904858364, + "Average Passengers": 10.355187274740015 }, { "NTD ID": 10005, @@ -1182,7 +1276,8 @@ "All Fuels (Wh/pkm)": 2965.0484683313343, "Unlinked Passenger Trips": 81814, "Passenger Paid Fares": 55858, - "Average Fare": 0.6827437846823282 + "Average Fare": 0.6827437846823282, + "Average Passengers": 0.8683272236156666 }, { "NTD ID": 10005, @@ -1196,7 +1291,8 @@ "All Fuels (Wh/pkm)": 1396.7504649604382, "Unlinked Passenger Trips": 1002114, "Passenger Paid Fares": 996214, - "Average Fare": 0.994112446288546 + "Average Fare": 0.994112446288546, + "Average Passengers": 3.8859374535855444 }, { "NTD ID": 10006, @@ -1208,7 +1304,8 @@ "All Fuels (Wh/pkm)": 3897.5535886301636, "Unlinked Passenger Trips": 79524, "Passenger Paid Fares": 155186, - "Average Fare": 1.9514360444645642 + "Average Fare": 1.9514360444645642, + "Average Passengers": 0.7183716559363379 }, { "NTD ID": 10006, @@ -1220,7 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2.9825234224794768, + "Average Passengers": 0.6771605725763319 }, { "NTD ID": 10008, @@ -1274,7 +1375,8 @@ "All Fuels (Wh/pkm)": 1603.5084856773854, "Unlinked Passenger Trips": 8133429, "Passenger Paid Fares": 5103111, - "Average Fare": 0.6274243003781063 + "Average Fare": 0.6274243003781063, + "Average Passengers": 5.007526793116954 }, { "NTD ID": 10013, @@ -1286,7 +1388,8 @@ "All Fuels (Wh/pkm)": 526.6457580378316, "Unlinked Passenger Trips": 39049, "Passenger Paid Fares": 210367, - "Average Fare": 5.387257036031652 + "Average Fare": 5.387257036031652, + "Average Passengers": 8.790200345163953 }, { "NTD ID": 10013, @@ -1298,7 +1401,8 @@ "All Fuels (Wh/pkm)": 4348.276772422921, "Unlinked Passenger Trips": 71087, "Passenger Paid Fares": 122594, - "Average Fare": 1.7245628595945812 + "Average Fare": 1.7245628595945812, + "Average Passengers": 0.6811922202969527 }, { "NTD ID": 10013, @@ -1310,7 +1414,8 @@ "All Fuels (Wh/pkm)": 1136.3399049505344, "Unlinked Passenger Trips": 1501464, "Passenger Paid Fares": 930003, - "Average Fare": 0.6193974680711626 + "Average Fare": 0.6193974680711626, + "Average Passengers": 3.913888344760039 }, { "NTD ID": 10014, @@ -1322,7 +1427,8 @@ "All Fuels (Wh/pkm)": 1983.613628243973, "Unlinked Passenger Trips": 141951, "Passenger Paid Fares": 274945, - "Average Fare": 1.9369007615303873 + "Average Fare": 1.9369007615303873, + "Average Passengers": 0.9569548150808077 }, { "NTD ID": 10014, @@ -1336,7 +1442,8 @@ "All Fuels (Wh/pkm)": 877.381402220788, "Unlinked Passenger Trips": 2421591, "Passenger Paid Fares": 1966432, - "Average Fare": 0.8120413397638164 + "Average Fare": 0.8120413397638164, + "Average Passengers": 5.672038174544022 }, { "NTD ID": 10016, @@ -1350,7 +1457,8 @@ "All Fuels (Wh/pkm)": 910.2587423966951, "Unlinked Passenger Trips": 1065893, "Passenger Paid Fares": 564588, - "Average Fare": 0.5296854374688641 + "Average Fare": 0.5296854374688641, + "Average Passengers": 4.178064089857945 }, { "NTD ID": 10017, @@ -1364,7 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Passengers": 1.133682351333945 }, { "NTD ID": 10045, @@ -1408,7 +1520,8 @@ "All Fuels (Wh/pkm)": 1212.6433584149167, "Unlinked Passenger Trips": 172550, "Passenger Paid Fares": 144040, - "Average Fare": 0.8347725297015358 + "Average Fare": 0.8347725297015358, + "Average Passengers": 4.01754751815644 }, { "NTD ID": 10045, @@ -1420,7 +1533,8 @@ "All Fuels (Wh/pkm)": 1935.9596464353056, "Unlinked Passenger Trips": 135858, "Passenger Paid Fares": 73091, - "Average Fare": 0.537995554181572 + "Average Fare": 0.537995554181572, + "Average Passengers": 3.1968808770239896 }, { "NTD ID": 10048, @@ -1432,7 +1546,8 @@ "All Fuels (Wh/pkm)": 949.4694850741563, "Unlinked Passenger Trips": 12405194, "Passenger Paid Fares": 10042185, - "Average Fare": 0.8095145468906009 + "Average Fare": 0.8095145468906009, + "Average Passengers": 8.48793820651338 }, { "NTD ID": 10048, @@ -1444,7 +1559,8 @@ "All Fuels (Wh/pkm)": 254.171718403708, "Unlinked Passenger Trips": 1419182, "Passenger Paid Fares": 814231, - "Average Fare": 0.5737326149852521 + "Average Fare": 0.5737326149852521, + "Average Passengers": 9.631360012840403 }, { "NTD ID": 10049, @@ -1456,7 +1572,8 @@ "All Fuels (Wh/pkm)": 4304.203944663125, "Unlinked Passenger Trips": 193867, "Passenger Paid Fares": 142760, - "Average Fare": 0.7363811272676629 + "Average Fare": 0.7363811272676629, + "Average Passengers": 0.6752676761325822 }, { "NTD ID": 10050, @@ -1470,7 +1587,8 @@ "All Fuels (Wh/pkm)": 2112.5103898097873, "Unlinked Passenger Trips": 80047, "Passenger Paid Fares": 138790, - "Average Fare": 1.733856359388859 + "Average Fare": 1.733856359388859, + "Average Passengers": 1.0212880882685953 }, { "NTD ID": 10050, @@ -1482,7 +1600,8 @@ "All Fuels (Wh/pkm)": 672.6682246927008, "Unlinked Passenger Trips": 4153733, "Passenger Paid Fares": 2582607, - "Average Fare": 0.6217556593069415 + "Average Fare": 0.6217556593069415, + "Average Passengers": 8.172111625907258 }, { "NTD ID": 10051, @@ -1496,7 +1615,8 @@ "All Fuels (Wh/pkm)": 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2.571144435405904 }, { "NTD ID": 10055, @@ -1548,7 +1671,8 @@ "All Fuels (Wh/pkm)": 1354.9098911649678, "Unlinked Passenger Trips": 6750898, "Passenger Paid Fares": 5151871, - "Average Fare": 0.7631386224469693 + "Average Fare": 0.7631386224469693, + "Average Passengers": 5.331886374885505 }, { "NTD ID": 10056, @@ -1560,7 +1684,8 @@ "All Fuels (Wh/pkm)": 1372.025493011775, "Unlinked Passenger Trips": 2457580, "Passenger Paid Fares": 2639843, - "Average Fare": 1.0741636081022794 + "Average Fare": 1.0741636081022794, + "Average Passengers": 5.417514955953476 }, { "NTD ID": 10057, @@ -1572,7 +1697,8 @@ "All Fuels (Wh/pkm)": 5864.904331918292, "Unlinked Passenger Trips": 106624, "Passenger Paid Fares": 241575, - "Average Fare": 2.265671893757503 + "Average Fare": 2.265671893757503, + "Average Passengers": 0.7398799073640693 }, { "NTD ID": 10057, @@ -1586,7 +1712,8 @@ "All Fuels (Wh/pkm)": 1012.170213877618, "Unlinked Passenger Trips": 1112213, "Passenger Paid Fares": 1058239, - "Average Fare": 0.9514715256879752 + "Average Fare": 0.9514715256879752, + "Average Passengers": 4.044831628493731 }, { "NTD ID": 10061, @@ -1598,7 +1725,8 @@ "All Fuels (Wh/pkm)": 1028.3157774098818, "Unlinked Passenger Trips": 488087, "Passenger Paid Fares": 2485536, - "Average Fare": 5.092403608373098 + "Average Fare": 5.092403608373098, + "Average Passengers": 2.1327807638565677 }, { "NTD ID": 10061, @@ -1612,7 +1740,8 @@ "All Fuels (Wh/pkm)": 1656.2813722429523, "Unlinked Passenger Trips": 443445, "Passenger Paid Fares": 335794, - "Average Fare": 0.7572393419702557 + "Average Fare": 0.7572393419702557, + "Average Passengers": 2.214722890448767 }, { "NTD ID": 10064, @@ -1624,7 +1753,8 @@ "All Fuels (Wh/pkm)": 2768.421994911252, "Unlinked Passenger Trips": 230729, "Passenger Paid Fares": 325532, - "Average Fare": 1.410884630887318 + "Average Fare": 1.410884630887318, + "Average Passengers": 0.7737996805733033 }, { "NTD ID": 10064, @@ -1636,7 +1766,8 @@ "All Fuels (Wh/pkm)": 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3.2372957650590637 }, { "NTD ID": 10086, @@ -1684,7 +1818,8 @@ "All Fuels (Wh/pkm)": 3279.101997899204, "Unlinked Passenger Trips": 18282, "Passenger Paid Fares": 43486, - "Average Fare": 2.3786237829559127 + "Average Fare": 2.3786237829559127, + "Average Passengers": 0.5064361145466655 }, { "NTD ID": 10086, @@ -1698,7 +1833,8 @@ "All Fuels (Wh/pkm)": 1327.8086761485563, "Unlinked Passenger Trips": 257138, "Passenger Paid Fares": 409446, - "Average Fare": 1.592320077157013 + "Average Fare": 1.592320077157013, + "Average Passengers": 3.1218369191087665 }, { "NTD ID": 10087, @@ -1712,7 +1848,8 @@ "All Fuels (Wh/pkm)": 1763.9099418263377, "Unlinked Passenger Trips": 20819, "Passenger Paid Fares": 34718, - "Average Fare": 1.667611316585811 + "Average Fare": 1.667611316585811, + "Average Passengers": 0.8197123529343038 }, { "NTD ID": 10087, @@ -1726,7 +1863,8 @@ "All Fuels (Wh/pkm)": 592.7434378777004, "Unlinked Passenger Trips": 319858, "Passenger Paid Fares": 219669, - "Average Fare": 0.6867703793558392 + "Average Fare": 0.6867703793558392, + "Average Passengers": 3.6936366992848786 }, { "NTD ID": 10088, @@ -1738,7 +1876,8 @@ "All Fuels (Wh/pkm)": 2736.1539141453645, "Unlinked Passenger Trips": 628217, "Passenger Paid Fares": 1414416, - "Average Fare": 2.2514767986221322 + "Average Fare": 2.2514767986221322, + "Average Passengers": 28.81244756418144 }, { "NTD ID": 10098, @@ -1750,7 +1889,8 @@ "All Fuels (Wh/pkm)": 1008.5591958465648, "Unlinked Passenger Trips": 8632, "Passenger Paid Fares": 12735, - "Average Fare": 1.47532437442076 + "Average Fare": 1.47532437442076, + "Average Passengers": 1.7506162117199493 }, { "NTD ID": 10098, @@ -1762,7 +1902,8 @@ "All Fuels (Wh/pkm)": 2674.1537302044208, "Unlinked Passenger Trips": 22085, "Passenger Paid Fares": 34134, - "Average Fare": 1.5455739189495132 + "Average Fare": 1.5455739189495132, + "Average Passengers": 1.4378904937856902 }, { "NTD ID": 10098, @@ -1772,7 +1913,8 @@ "Gasoline (Wh/pkm)": 2666.204879817641, "Unlinked Passenger Trips": 124721, "Passenger Paid Fares": 149489, - "Average Fare": 1.1985872467347118 + "Average Fare": 1.1985872467347118, + "Average Passengers": 1.3091002307100743 }, { "NTD ID": 10102, @@ -1780,7 +1922,8 @@ "UACE Code": "37243", "Unlinked Passenger Trips": 106733, "Passenger Paid Fares": 163479, - "Average Fare": 1.5316631219960086 + "Average Fare": 1.5316631219960086, + "Average Passengers": 3.931919618558272 }, { "NTD ID": 10102, @@ -1788,7 +1931,8 @@ "UACE Code": "37243", "Unlinked Passenger Trips": 477660, "Passenger Paid Fares": 1427968, - "Average Fare": 2.989507180839928 + "Average Fare": 2.989507180839928, + "Average Passengers": 25.666986057685605 }, { "NTD ID": 10105, @@ -1800,7 +1944,8 @@ "All Fuels (Wh/pkm)": 1651.0983561797623, "Unlinked Passenger Trips": 485582, "Passenger Paid Fares": 10449769, - "Average Fare": 21.520091354292376 + "Average Fare": 21.520091354292376, + "Average Passengers": 1.554949539634407 }, { "NTD ID": 10105, @@ -1814,7 +1959,8 @@ "All Fuels (Wh/pkm)": 687.9903687734192, "Unlinked Passenger Trips": 603887, "Passenger Paid Fares": 782321, - "Average Fare": 1.2954758092159626 + "Average Fare": 1.2954758092159626, + "Average Passengers": 5.741789012180123 }, { "NTD ID": 10107, @@ -1826,7 +1972,8 @@ "All Fuels (Wh/pkm)": 3134.956597572316, "Unlinked Passenger Trips": 31852, "Passenger Paid Fares": 80229, - "Average Fare": 2.518805726484993 + "Average Fare": 2.518805726484993, + "Average Passengers": 0.9613340691459465 }, { "NTD ID": 10107, @@ -1838,7 +1985,8 @@ "All Fuels (Wh/pkm)": 1026.6849909411817, "Unlinked Passenger Trips": 237206, "Passenger Paid Fares": 209784, - "Average Fare": 0.8843958415891672 + "Average Fare": 0.8843958415891672, + "Average Passengers": 4.105890038854313 }, { "NTD ID": 10118, @@ -1850,7 +1998,8 @@ "All Fuels (Wh/pkm)": 2055.458163224737, "Unlinked Passenger Trips": 147082, "Passenger Paid Fares": 168887, - "Average Fare": 1.1482506356998137 + "Average Fare": 1.1482506356998137, + "Average Passengers": 1.146934374872859 }, { "NTD ID": 10118, @@ -1864,7 +2013,8 @@ "All Fuels (Wh/pkm)": 1021.6263558479225, "Unlinked Passenger Trips": 474988, "Passenger Paid Fares": 310750, - "Average Fare": 0.6542270541571577 + "Average Fare": 0.6542270541571577, + "Average Passengers": 2.01813385542109 }, { "NTD ID": 10128, @@ -1876,7 +2026,8 @@ "All Fuels (Wh/pkm)": 3630.3830536259156, "Unlinked Passenger Trips": 78276, "Passenger Paid Fares": 162962, - "Average Fare": 2.0818897235423375 + "Average Fare": 2.0818897235423375, + "Average Passengers": 0.8231084351400997 }, { "NTD ID": 10128, @@ -1888,7 +2039,8 @@ "All Fuels (Wh/pkm)": 1584.940660716397, "Unlinked Passenger Trips": 1895751, "Passenger Paid Fares": 1158150, - "Average Fare": 0.6109188390247453 + "Average Fare": 0.6109188390247453, + "Average Passengers": 3.1055856197801672 }, { "NTD ID": 10130, @@ -1900,7 +2052,8 @@ "All Fuels (Wh/pkm)": 1511.305763350703, "Unlinked Passenger Trips": 545705, "Passenger Paid Fares": 306677, - "Average Fare": 0.5619831227494708 + "Average Fare": 0.5619831227494708, + "Average Passengers": 3.727869859164721 }, { "NTD ID": 10183, @@ -1912,7 +2065,8 @@ "All Fuels (Wh/pkm)": 2682.5151949042747, "Unlinked Passenger Trips": 2067301, "Passenger Paid Fares": 20826121, - "Average Fare": 10.074063235107031 + "Average Fare": 10.074063235107031, + "Average Passengers": 79.92540443186569 }, { "NTD ID": 10183, @@ -1922,7 +2076,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1102.0201492667866, "All Fuels (Wh/pkm)": 1104.8710284340318, - "Unlinked Passenger Trips": 454504 + "Unlinked Passenger Trips": 454504, + "Average Passengers": 6.472090109174991 }, { "NTD ID": 11147, @@ -1934,7 +2089,8 @@ "All Fuels (Wh/pkm)": 2991.50839685385, "Unlinked Passenger Trips": 37379, "Passenger Paid Fares": 360243, - "Average Fare": 9.637577249257605 + "Average Fare": 9.637577249257605, + "Average Passengers": 49.44486633485556 }, { "NTD ID": 20002, @@ -1946,7 +2102,8 @@ "All Fuels (Wh/pkm)": 1243.5528160468912, "Unlinked Passenger Trips": 340271, "Passenger Paid Fares": 632764, - "Average Fare": 1.85958838690338 + "Average Fare": 1.85958838690338, + "Average Passengers": 2.4141298665031314 }, { "NTD ID": 20002, @@ -1960,7 +2117,8 @@ "All Fuels (Wh/pkm)": 906.5605123189366, "Unlinked Passenger Trips": 14671015, "Passenger Paid Fares": 19355285, - "Average Fare": 1.3192873840017203 + "Average Fare": 1.3192873840017203, + "Average Passengers": 5.916540943606697 }, { "NTD ID": 20003, @@ -1972,7 +2130,8 @@ "All Fuels (Wh/pkm)": 2440.668641348352, "Unlinked Passenger Trips": 34819, "Passenger Paid Fares": 69442, - "Average Fare": 1.9943708894569057 + "Average Fare": 1.9943708894569057, + "Average Passengers": 0.7232685463125218 }, { "NTD ID": 20003, @@ -1984,7 +2143,8 @@ "All Fuels (Wh/pkm)": 1657.0938851269539, "Unlinked Passenger Trips": 1010042, "Passenger Paid Fares": 802674, - "Average Fare": 0.7946936860051365 + "Average Fare": 0.7946936860051365, + "Average Passengers": 2.883497238053345 }, { "NTD ID": 20004, @@ -2000,7 +2160,8 @@ "All Fuels (Wh/pkm)": 3255.444498111479, "Unlinked Passenger Trips": 225748, "Passenger Paid Fares": 688000, - "Average Fare": 3.0476460478055176 + "Average Fare": 3.0476460478055176, + "Average Passengers": 0.827714751912556 }, { "NTD ID": 20004, @@ -2012,7 +2173,8 @@ "All Fuels (Wh/pkm)": 153.23729062219093, "Unlinked Passenger Trips": 4223681, "Passenger Paid Fares": 2137235, - "Average Fare": 0.5060124095546041 + "Average Fare": 0.5060124095546041, + "Average Passengers": 32.42722558614276 }, { "NTD ID": 20004, @@ -2026,7 +2188,8 @@ "All Fuels (Wh/pkm)": 541.437577948414, "Unlinked Passenger Trips": 19402251, "Passenger Paid Fares": 14207529, - "Average Fare": 0.7322618906435134 + "Average Fare": 0.7322618906435134, + "Average Passengers": 6.244008089275685 }, { "NTD ID": 20006, @@ -2038,7 +2201,8 @@ "All Fuels (Wh/pkm)": 2572.8412064322047, "Unlinked Passenger Trips": 6525, "Passenger Paid Fares": 4894, - "Average Fare": 0.7500383141762452 + "Average Fare": 0.7500383141762452, + "Average Passengers": 0.998532535238463 }, { "NTD ID": 20006, @@ -2050,7 +2214,8 @@ "All Fuels (Wh/pkm)": 2439.8193391995574, "Unlinked Passenger Trips": 156690, "Passenger Paid Fares": 247609, - "Average Fare": 1.5802476226944924 + "Average Fare": 1.5802476226944924, + "Average Passengers": 2.425027438304336 }, { "NTD ID": 20008, @@ -2062,7 +2227,8 @@ "All Fuels (Wh/pkm)": 1183.1624521013862, "Unlinked Passenger Trips": 4510813, "Passenger Paid Fares": 30502878, - "Average Fare": 6.762168593555087 + "Average Fare": 6.762168593555087, + "Average Passengers": 4.575974135775454 }, { "NTD ID": 20008, @@ -2074,7 +2240,8 @@ "All Fuels (Wh/pkm)": 4254.543233211885, "Unlinked Passenger Trips": 2502323, "Passenger Paid Fares": 1837164, - "Average Fare": 0.7341833967877048 + "Average Fare": 0.7341833967877048, + "Average Passengers": 0.7236406121022713 }, { "NTD ID": 20008, @@ -2086,7 +2253,8 @@ "All Fuels (Wh/pkm)": 23.244720905220667, "Unlinked Passenger Trips": 1112653405, "Passenger Paid Fares": 1609953703, - "Average Fare": 1.4469498729480812 + "Average Fare": 1.4469498729480812, + "Average Passengers": 127.18444906816482 }, { "NTD ID": 20008, @@ -2102,7 +2270,8 @@ "All Fuels (Wh/pkm)": 656.2517182930588, "Unlinked Passenger Trips": 403160315, "Passenger Paid Fares": 361154071, - "Average Fare": 0.8958075920741355 + "Average Fare": 0.8958075920741355, + "Average Passengers": 9.701809150873451 }, { "NTD ID": 20008, @@ -2114,7 +2283,8 @@ "All Fuels (Wh/pkm)": 962.0154587497117, "Unlinked Passenger Trips": 17648255, "Passenger Paid Fares": 15048086, - "Average Fare": 0.8526670767166499 + "Average Fare": 0.8526670767166499, + "Average Passengers": 9.461928820384378 }, { "NTD ID": 20010, @@ -2126,7 +2296,8 @@ "All Fuels (Wh/pkm)": 1283.0089507354023, "Unlinked Passenger Trips": 467954, "Passenger Paid Fares": 424067, - "Average Fare": 0.906215140804438 + "Average Fare": 0.906215140804438, + "Average Passengers": 2.6509601037084063 }, { "NTD ID": 20018, @@ -2134,7 +2305,8 @@ "UACE Code": "86302", "Unlinked Passenger Trips": 181633, "Passenger Paid Fares": 416653, - "Average Fare": 2.2939278655310433 + "Average Fare": 2.2939278655310433, + "Average Passengers": 0.7329018611120309 }, { "NTD ID": 20018, @@ -2148,7 +2320,8 @@ "All Fuels (Wh/pkm)": 505.38868707761986, "Unlinked Passenger Trips": 9530121, "Passenger Paid Fares": 6330751, - "Average Fare": 0.664288627605043 + "Average Fare": 0.664288627605043, + "Average Passengers": 5.413068979221894 }, { "NTD ID": 20072, @@ -2160,7 +2333,8 @@ "All Fuels (Wh/pkm)": 4283.151331452612, "Unlinked Passenger Trips": 427329, "Passenger Paid Fares": 1515923, - "Average Fare": 3.5474376885257026 + "Average Fare": 3.5474376885257026, + "Average Passengers": 0.7775060898497084 }, { "NTD ID": 20072, @@ -2172,7 +2346,8 @@ "All Fuels (Wh/pkm)": 2320.074518877295, "Unlinked Passenger Trips": 2234828, "Passenger Paid Fares": 2803943, - "Average Fare": 1.2546571816712517 + "Average Fare": 1.2546571816712517, + "Average Passengers": 1.9715099369384574 }, { "NTD ID": 20075, @@ -2184,7 +2359,8 @@ "All Fuels (Wh/pkm)": 113.9194128855845, "Unlinked Passenger Trips": 3949450, "Passenger Paid Fares": 9300795, - "Average Fare": 2.354959551329932 + "Average Fare": 2.354959551329932, + "Average Passengers": 37.65523410146749 }, { "NTD ID": 20076, @@ -2196,7 +2372,8 @@ "All Fuels (Wh/pkm)": 2638.722286009842, "Unlinked Passenger Trips": 169569, "Passenger Paid Fares": 759385, - "Average Fare": 4.478324457890299 + "Average Fare": 4.478324457890299, + "Average Passengers": 0.7459570871071858 }, { "NTD ID": 20076, @@ -2208,7 +2385,8 @@ "All Fuels (Wh/pkm)": 779.2683186890969, "Unlinked Passenger Trips": 16641134, "Passenger Paid Fares": 17939603, - "Average Fare": 1.078027675277418 + "Average Fare": 1.078027675277418, + "Average Passengers": 7.559267089609755 }, { "NTD ID": 20078, @@ -2221,7 +2399,8 @@ "All Fuels (Wh/pkm)": 92.53606872482618, "Unlinked Passenger Trips": 29391259, "Passenger Paid Fares": 243426102, - "Average Fare": 8.282261811241227 + "Average Fare": 8.282261811241227, + "Average Passengers": 93.26392784174239 }, { "NTD ID": 20078, @@ -2233,7 +2412,8 @@ "All Fuels (Wh/pkm)": 7568.976735599797, "Unlinked Passenger Trips": 35206, "Passenger Paid Fares": 48337, - "Average Fare": 1.372976197239107 + "Average Fare": 1.372976197239107, + "Average Passengers": 10.326283987915408 }, { "NTD ID": 20078, @@ -2241,7 +2421,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 111318, "Passenger Paid Fares": 197321, - "Average Fare": 1.7725884403241166 + "Average Fare": 1.7725884403241166, + "Average Passengers": 0.47336200596614386 }, { "NTD ID": 20080, @@ -2256,7 +2437,8 @@ "All Fuels (Wh/pkm)": 246.36211262981723, "Unlinked Passenger Trips": 66330426, "Passenger Paid Fares": 426541303, - "Average Fare": 6.4305527451308695 + "Average Fare": 6.4305527451308695, + "Average Passengers": 173.33507083599233 }, { "NTD ID": 20080, @@ -2268,7 +2450,8 @@ "All Fuels (Wh/pkm)": 4473.4683936669435, "Unlinked Passenger Trips": 1475977, "Passenger Paid Fares": 2773067, - "Average Fare": 1.8788009569254804 + "Average Fare": 1.8788009569254804, + "Average Passengers": 0.5193004850464971 }, { "NTD ID": 20080, @@ -2280,7 +2463,8 @@ "All Fuels (Wh/pkm)": 235.72731443146859, "Unlinked Passenger Trips": 16395050, "Passenger Paid Fares": 15776548, - "Average Fare": 0.9622750769287072 + "Average Fare": 0.9622750769287072, + "Average Passengers": 34.78021363841157 }, { "NTD ID": 20080, @@ -2294,7 +2478,8 @@ "All Fuels (Wh/pkm)": 558.5864539126975, "Unlinked Passenger Trips": 119074203, "Passenger Paid Fares": 295559267, - "Average Fare": 2.48214356723429 + "Average Fare": 2.48214356723429, + "Average Passengers": 8.857976134396754 }, { "NTD ID": 20080, @@ -2306,7 +2491,8 @@ "All Fuels (Wh/pkm)": 390.7425039745311, "Unlinked Passenger Trips": 478068, "Passenger Paid Fares": 1377286, - "Average Fare": 2.880941623367387 + "Average Fare": 2.880941623367387, + "Average Passengers": 4.786610846720116 }, { "NTD ID": 20080, @@ -2318,7 +2504,8 @@ "All Fuels (Wh/pkm)": 355.7299649402489, "Unlinked Passenger Trips": 2172963, "Passenger Paid Fares": 1714596, - "Average Fare": 0.7890589945618034 + "Average Fare": 0.7890589945618034, + "Average Passengers": 35.73631984310891 }, { "NTD ID": 20082, @@ -2328,7 +2515,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1298.9908635422028, "All Fuels (Wh/pkm)": 1298.9908635422028, - "Unlinked Passenger Trips": 15865070 + "Unlinked Passenger Trips": 15865070, + "Average Passengers": 446.6831843457451 }, { "NTD ID": 20084, @@ -2340,7 +2528,8 @@ "All Fuels (Wh/pkm)": 3397.5431896242817, "Unlinked Passenger Trips": 29446, "Passenger Paid Fares": 26441, - "Average Fare": 0.8979487876112205 + "Average Fare": 0.8979487876112205, + "Average Passengers": 0.7523530392178445 }, { "NTD ID": 20084, @@ -2352,7 +2541,8 @@ "All Fuels (Wh/pkm)": 1443.5602043782078, "Unlinked Passenger Trips": 952277, "Passenger Paid Fares": 507154, - "Average Fare": 0.5325698299969441 + "Average Fare": 0.5325698299969441, + "Average Passengers": 3.144833465003534 }, { "NTD ID": 20096, @@ -2364,7 +2554,8 @@ "All Fuels (Wh/pkm)": 3913.2492587764705, "Unlinked Passenger Trips": 6262, "Passenger Paid Fares": 19067, - "Average Fare": 3.044873842222932 + "Average Fare": 3.044873842222932, + "Average Passengers": 0.8400231469304014 }, { "NTD ID": 20096, @@ -2376,7 +2567,8 @@ "All Fuels (Wh/pkm)": 2584.4269349400997, "Unlinked Passenger Trips": 51984, "Passenger Paid Fares": 81994, - "Average Fare": 1.5772930132348415 + "Average Fare": 1.5772930132348415, + "Average Passengers": 1.094222833562586 }, { "NTD ID": 20098, @@ -2388,7 +2580,8 @@ "All Fuels (Wh/pkm)": 9863.21364918905, "Unlinked Passenger Trips": 286075, "Passenger Paid Fares": 2105422, - "Average Fare": 7.359685397186053 + "Average Fare": 7.359685397186053, + "Average Passengers": 12.03650827473542 }, { "NTD ID": 20098, @@ -2400,7 +2593,8 @@ "All Fuels (Wh/pkm)": 51.17600636140183, "Unlinked Passenger Trips": 29654770, "Passenger Paid Fares": 71157600, - "Average Fare": 2.399533026221414 + "Average Fare": 2.399533026221414, + "Average Passengers": 85.70084513434797 }, { "NTD ID": 20099, @@ -2408,7 +2602,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 2713941, "Passenger Paid Fares": 2857140, - "Average Fare": 1.0527642273726658 + "Average Fare": 1.0527642273726658, + "Average Passengers": 30.023995728731904 }, { "NTD ID": 20100, @@ -2423,7 +2618,8 @@ "All Fuels (Wh/pkm)": 51.41635310165111, "Unlinked Passenger Trips": 43484907, "Passenger Paid Fares": 272532791, - "Average Fare": 6.267296167840488 + "Average Fare": 6.267296167840488, + "Average Passengers": 158.30726160793932 }, { "NTD ID": 20113, @@ -2435,7 +2631,8 @@ "All Fuels (Wh/pkm)": 3371.0943603872574, "Unlinked Passenger Trips": 237460, "Passenger Paid Fares": 384121, - "Average Fare": 1.6176240208877284 + "Average Fare": 1.6176240208877284, + "Average Passengers": 0.8054572075069879 }, { "NTD ID": 20113, @@ -2447,7 +2644,8 @@ "All Fuels (Wh/pkm)": 686.8095710037164, "Unlinked Passenger Trips": 14049307, "Passenger Paid Fares": 21427237, - "Average Fare": 1.5251454751469236 + "Average Fare": 1.5251454751469236, + "Average Passengers": 8.312103636949388 }, { "NTD ID": 20122, @@ -2459,7 +2657,8 @@ "All Fuels (Wh/pkm)": 444.82085262513937, "Unlinked Passenger Trips": 873175, "Passenger Paid Fares": 23613854, - "Average Fare": 27.04366707704641 + "Average Fare": 27.04366707704641, + "Average Passengers": 12.053731592845253 }, { "NTD ID": 20126, @@ -2471,7 +2670,8 @@ "All Fuels (Wh/pkm)": 319.40785600276416, "Unlinked Passenger Trips": 1018765, "Passenger Paid Fares": 11266651, - "Average Fare": 11.059126491389083 + "Average Fare": 11.059126491389083, + "Average Passengers": 13.08009618289645 }, { "NTD ID": 20128, @@ -2483,7 +2683,8 @@ "All Fuels (Wh/pkm)": 262.6832491597972, "Unlinked Passenger Trips": 581665, "Passenger Paid Fares": 6948218, - "Average Fare": 11.94539468594466 + "Average Fare": 11.94539468594466, + "Average Passengers": 13.991548366800373 }, { "NTD ID": 20135, @@ -2495,7 +2696,8 @@ "All Fuels (Wh/pkm)": 385.41301294687213, "Unlinked Passenger Trips": 364616, "Passenger Paid Fares": 2574780, - "Average Fare": 7.061620993044738 + "Average Fare": 7.061620993044738, + "Average Passengers": 22.403858922322478 }, { "NTD ID": 20145, @@ -2507,7 +2709,8 @@ "All Fuels (Wh/pkm)": 3024.559539592755, "Unlinked Passenger Trips": 33159, "Passenger Paid Fares": 31307, - "Average Fare": 0.9441478934829156 + "Average Fare": 0.9441478934829156, + "Average Passengers": 0.9153702250920284 }, { "NTD ID": 20145, @@ -2521,7 +2724,8 @@ "All Fuels (Wh/pkm)": 1645.1439320969737, "Unlinked Passenger Trips": 1457234, "Passenger Paid Fares": 328946, - "Average Fare": 0.22573313551564128 + "Average Fare": 0.22573313551564128, + "Average Passengers": 3.4334139510208543 }, { "NTD ID": 20149, @@ -2533,7 +2737,8 @@ "All Fuels (Wh/pkm)": 176.84793805509432, "Unlinked Passenger Trips": 431104, "Passenger Paid Fares": 3160937, - "Average Fare": 7.332191304186461 + "Average Fare": 7.332191304186461, + "Average Passengers": 9.799424356898722 }, { "NTD ID": 20161, @@ -2545,7 +2750,8 @@ "All Fuels (Wh/pkm)": 406.64905898564996, "Unlinked Passenger Trips": 366771, "Passenger Paid Fares": 2625658, - "Average Fare": 7.158848436762994 + "Average Fare": 7.158848436762994, + "Average Passengers": 13.033858385545775 }, { "NTD ID": 20163, @@ -2557,7 +2763,8 @@ "All Fuels (Wh/pkm)": 398.14931225349505, "Unlinked Passenger Trips": 384265, "Passenger Paid Fares": 3988183, - "Average Fare": 10.378730823780463 + "Average Fare": 10.378730823780463, + "Average Passengers": 11.999097574629577 }, { "NTD ID": 20166, @@ -2569,7 +2776,8 @@ "All Fuels (Wh/pkm)": 749.7078361826503, "Unlinked Passenger Trips": 3235304, "Passenger Paid Fares": 7888935, - "Average Fare": 2.4383906427340367 + "Average Fare": 2.4383906427340367, + "Average Passengers": 7.317985536222785 }, { "NTD ID": 20169, @@ -2581,7 +2789,8 @@ "All Fuels (Wh/pkm)": 314.2176268755966, "Unlinked Passenger Trips": 349831, "Passenger Paid Fares": 7370132, - "Average Fare": 21.067692685896905 + "Average Fare": 21.067692685896905, + "Average Passengers": 15.838924275179256 }, { "NTD ID": 20177, @@ -2593,7 +2802,8 @@ "All Fuels (Wh/pkm)": 153.53980101371178, "Unlinked Passenger Trips": 130782, "Passenger Paid Fares": 3283608, - "Average Fare": 25.107491856677523 + "Average Fare": 25.107491856677523, + "Average Passengers": 11.994380714803961 }, { "NTD ID": 20188, @@ -2607,7 +2817,8 @@ "All Fuels (Wh/pkm)": 2534.4768663417963, "Unlinked Passenger Trips": 72562171, "Passenger Paid Fares": 95403036, - "Average Fare": 1.3147764831898427 + "Average Fare": 1.3147764831898427, + "Average Passengers": 5.726015695881054 }, { "NTD ID": 20190, @@ -2619,7 +2830,8 @@ "All Fuels (Wh/pkm)": 10235.514644911218, "Unlinked Passenger Trips": 1671710, "Passenger Paid Fares": 14866804, - "Average Fare": 8.893171662549126 + "Average Fare": 8.893171662549126, + "Average Passengers": 20.147336528689955 }, { "NTD ID": 20190, @@ -2629,7 +2841,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1806.7539209731924, "All Fuels (Wh/pkm)": 1806.7539209731924, - "Unlinked Passenger Trips": 669624 + "Unlinked Passenger Trips": 669624, + "Average Passengers": 4.624188093620115 }, { "NTD ID": 20192, @@ -2639,7 +2852,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2070.423396179042, "All Fuels (Wh/pkm)": 2070.423396179042, - "Unlinked Passenger Trips": 58909 + "Unlinked Passenger Trips": 58909, + "Average Passengers": 1.649254086497412 }, { "NTD ID": 20192, @@ -2649,7 +2863,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 935.7272317169094, "All Fuels (Wh/pkm)": 935.7272317169094, - "Unlinked Passenger Trips": 6536 + "Unlinked Passenger Trips": 6536, + "Average Passengers": 3.1705162372914817 }, { "NTD ID": 20199, @@ -2661,7 +2876,8 @@ "Gasoline (Wh/pkm)": 4559.721588456956, "Diesel (Wh/pkm)": 5733.196657615146, "All Fuels (Wh/pkm)": 4602.053811175229, - "Unlinked Passenger Trips": 45533 + "Unlinked Passenger Trips": 45533, + "Average Passengers": 0.7113859463091475 }, { "NTD ID": 20204, @@ -2675,7 +2891,8 @@ "All Fuels (Wh/pkm)": 3561.431598634375, "Unlinked Passenger Trips": 52290, "Passenger Paid Fares": 6980, - "Average Fare": 0.13348632625741058 + "Average Fare": 0.13348632625741058, + "Average Passengers": 0.8163081995468158 }, { "NTD ID": 20206, @@ -2689,7 +2906,8 @@ "All Fuels (Wh/pkm)": 2609.4361787887315, "Unlinked Passenger Trips": 177470, "Passenger Paid Fares": 530378, - "Average Fare": 2.988550177494788 + "Average Fare": 2.988550177494788, + "Average Passengers": 0.8284007212993455 }, { "NTD ID": 20206, @@ -2705,7 +2923,8 @@ "All Fuels (Wh/pkm)": 179.81276840017887, "Unlinked Passenger Trips": 14263561, "Passenger Paid Fares": 19940264, - "Average Fare": 1.397986379418155 + "Average Fare": 1.397986379418155, + "Average Passengers": 9.0170403493798 }, { "NTD ID": 20217, @@ -2717,7 +2936,8 @@ "All Fuels (Wh/pkm)": 357.424178120321, "Unlinked Passenger Trips": 290686, "Passenger Paid Fares": 9344637, - "Average Fare": 32.14684229718665 + "Average Fare": 32.14684229718665, + "Average Passengers": 10.960543874352338 }, { "NTD ID": 22930, @@ -2729,7 +2949,8 @@ "All Fuels (Wh/pkm)": 3018.369767415867, "Unlinked Passenger Trips": 4967414, "Passenger Paid Fares": 12150212, - "Average Fare": 2.4459833627718566 + "Average Fare": 2.4459833627718566, + "Average Passengers": 31.551395816007794 }, { "NTD ID": 30001, @@ -2741,7 +2962,8 @@ "All Fuels (Wh/pkm)": 2579.1417608354877, "Unlinked Passenger Trips": 16183, "Passenger Paid Fares": 44115, - "Average Fare": 2.7260087746400545 + "Average Fare": 2.7260087746400545, + "Average Passengers": 0.9486204684742049 }, { "NTD ID": 30001, @@ -2755,7 +2977,8 @@ "All Fuels (Wh/pkm)": 1721.2029122789545, "Unlinked Passenger Trips": 1393734, "Passenger Paid Fares": 1497724, - "Average Fare": 1.0746125157311224 + "Average Fare": 1.0746125157311224, + "Average Passengers": 3.0287043554166644 }, { "NTD ID": 30002, @@ -2767,7 +2990,8 @@ "All Fuels (Wh/pkm)": 6127.9346841749975, "Unlinked Passenger Trips": 36067, "Passenger Paid Fares": 173550, - "Average Fare": 4.811877893919649 + "Average Fare": 4.811877893919649, + "Average Passengers": 0.79411674638804 }, { "NTD ID": 30002, @@ -2779,7 +3003,8 @@ "All Fuels (Wh/pkm)": 1035.845849898295, "Unlinked Passenger Trips": 815913, "Passenger Paid Fares": 984357, - "Average Fare": 1.2064484816395866 + "Average Fare": 1.2064484816395866, + "Average Passengers": 4.9438266239021615 }, { "NTD ID": 30006, @@ -2791,7 +3016,8 @@ "All Fuels (Wh/pkm)": 354.90524702546674, "Unlinked Passenger Trips": 238249, "Passenger Paid Fares": 494890, - "Average Fare": 2.0771965464702893 + "Average Fare": 2.0771965464702893, + "Average Passengers": 0.9864482183915516 }, { "NTD ID": 30006, @@ -2805,7 +3031,8 @@ "All Fuels (Wh/pkm)": 465.1751382162417, "Unlinked Passenger Trips": 6459304, "Passenger Paid Fares": 5596580, - "Average Fare": 0.8664370031198407 + "Average Fare": 0.8664370031198407, + "Average Passengers": 5.386611548344254 }, { "NTD ID": 30006, @@ -2817,7 +3044,8 @@ "All Fuels (Wh/pkm)": 174.58113842694044, "Unlinked Passenger Trips": 1947297, "Passenger Paid Fares": 553508, - "Average Fare": 0.2842442626882289 + "Average Fare": 0.2842442626882289, + "Average Passengers": 9.04797155644106 }, { "NTD ID": 30006, @@ -2829,7 +3057,8 @@ "All Fuels (Wh/pkm)": 254.86709484421866, "Unlinked Passenger Trips": 306012, "Passenger Paid Fares": 1708453, - "Average Fare": 5.582960798922918 + "Average Fare": 5.582960798922918, + "Average Passengers": 6.012499818519799 }, { "NTD ID": 30007, @@ -2843,7 +3072,8 @@ "All Fuels (Wh/pkm)": 1108.8506855815233, "Unlinked Passenger Trips": 1613442, "Passenger Paid Fares": 1254249, - "Average Fare": 0.7773747057532902 + "Average Fare": 0.7773747057532902, + "Average Passengers": 4.806656551103437 }, { "NTD ID": 30008, @@ -2855,7 +3085,8 @@ "All Fuels (Wh/pkm)": 4917.752027531757, "Unlinked Passenger Trips": 18654, "Passenger Paid Fares": 42682, - "Average Fare": 2.2880883456631285 + "Average Fare": 2.2880883456631285, + "Average Passengers": 0.6990492697151605 }, { "NTD ID": 30008, @@ -2867,7 +3098,8 @@ "All Fuels (Wh/pkm)": 1677.3431872108342, "Unlinked Passenger Trips": 687159, "Passenger Paid Fares": 370028, - "Average Fare": 0.5384896363141572 + "Average Fare": 0.5384896363141572, + "Average Passengers": 3.1047639555599793 }, { "NTD ID": 30010, @@ -2881,7 +3113,8 @@ "All Fuels (Wh/pkm)": 1949.848342534158, "Unlinked Passenger Trips": 265561, "Passenger Paid Fares": 511336, - "Average Fare": 1.9254935777467324 + "Average Fare": 1.9254935777467324, + "Average Passengers": 1.222148919709454 }, { "NTD ID": 30010, @@ -2895,7 +3128,8 @@ "All Fuels (Wh/pkm)": 551.7110383640745, "Unlinked Passenger Trips": 3771272, "Passenger Paid Fares": 3217566, - "Average Fare": 0.8531779198106103 + "Average Fare": 0.8531779198106103, + "Average Passengers": 5.798005283252281 }, { "NTD ID": 30011, @@ -2909,7 +3143,8 @@ "All Fuels (Wh/pkm)": 907.9999627686991, "Unlinked Passenger Trips": 459637, "Passenger Paid Fares": 225231, - "Average Fare": 0.4900192978372063 + "Average Fare": 0.4900192978372063, + "Average Passengers": 2.1666324622976996 }, { "NTD ID": 30012, @@ -2923,7 +3158,8 @@ "All Fuels (Wh/pkm)": 1958.358466240382, "Unlinked Passenger Trips": 51492, "Passenger Paid Fares": 21912, - "Average Fare": 0.42554183174085297 + "Average Fare": 0.42554183174085297, + "Average Passengers": 1.2570116812355454 }, { "NTD ID": 30012, @@ -2935,7 +3171,8 @@ "All Fuels (Wh/pkm)": 6255.600179775281, "Unlinked Passenger Trips": 40835, "Passenger Paid Fares": 76368, - "Average Fare": 1.8701604016162605 + "Average Fare": 1.8701604016162605, + "Average Passengers": 3.789301310043668 }, { "NTD ID": 30012, @@ -2951,7 +3188,8 @@ "All Fuels (Wh/pkm)": 386.4356883265274, "Unlinked Passenger Trips": 993623, "Passenger Paid Fares": 620245, - "Average Fare": 0.6242256872073211 + "Average Fare": 0.6242256872073211, + "Average Passengers": 3.168267777291453 }, { "NTD ID": 30013, @@ -2965,7 +3203,8 @@ "All Fuels (Wh/pkm)": 3835.727258484522, "Unlinked Passenger Trips": 143321, "Passenger Paid Fares": 104599, - "Average Fare": 0.7298232638622393 + "Average Fare": 0.7298232638622393, + "Average Passengers": 1.2683745850132189 }, { "NTD ID": 30013, @@ -2981,7 +3220,8 @@ "All Fuels (Wh/pkm)": 1252.824433169207, "Unlinked Passenger Trips": 1880063, "Passenger Paid Fares": 1385132, - "Average Fare": 0.7367476515414643 + "Average Fare": 0.7367476515414643, + "Average Passengers": 3.161998219254654 }, { "NTD ID": 30014, @@ -2993,7 +3233,8 @@ "All Fuels (Wh/pkm)": 4654.784704479503, "Unlinked Passenger Trips": 179223, "Passenger Paid Fares": 185729, - "Average Fare": 1.0363011443843704 + "Average Fare": 1.0363011443843704, + "Average Passengers": 1.1562498805750436 }, { "NTD ID": 30014, @@ -3005,7 +3246,8 @@ "All Fuels (Wh/pkm)": 1961.6027005872727, "Unlinked Passenger Trips": 1722875, "Passenger Paid Fares": 1916672, - "Average Fare": 1.1124846550097947 + "Average Fare": 1.1124846550097947, + "Average Passengers": 3.5418793683615615 }, { "NTD ID": 30015, @@ -3017,7 +3259,8 @@ "All Fuels (Wh/pkm)": 2707.710192347304, "Unlinked Passenger Trips": 115801, "Passenger Paid Fares": 220654, - "Average Fare": 1.9054585020854742 + "Average Fare": 1.9054585020854742, + "Average Passengers": 1.0797099164433235 }, { "NTD ID": 30015, @@ -3031,7 +3274,8 @@ "All Fuels (Wh/pkm)": 2074.3963255999784, "Unlinked Passenger Trips": 983499, "Passenger Paid Fares": 965283, - "Average Fare": 0.9814783746602691 + "Average Fare": 0.9814783746602691, + "Average Passengers": 2.6284796730759834 }, { "NTD ID": 30019, @@ -3043,7 +3287,8 @@ "All Fuels (Wh/pkm)": 100.14752513712381, "Unlinked Passenger Trips": 25150117, "Passenger Paid Fares": 107244993, - "Average Fare": 4.264194595993331 + "Average Fare": 4.264194595993331, + "Average Passengers": 75.95885802211306 }, { "NTD ID": 30019, @@ -3055,7 +3300,8 @@ "All Fuels (Wh/pkm)": 4147.457322542634, "Unlinked Passenger Trips": 1151930, "Passenger Paid Fares": 4435710, - "Average Fare": 3.850676690423897 + "Average Fare": 3.850676690423897, + "Average Passengers": 0.8259838797221707 }, { "NTD ID": 30019, @@ -3067,7 +3313,8 @@ "All Fuels (Wh/pkm)": 55.093010885343325, "Unlinked Passenger Trips": 71064786, "Passenger Paid Fares": 86166256, - "Average Fare": 1.2125028561965978 + "Average Fare": 1.2125028561965978, + "Average Passengers": 100.75574030733941 }, { "NTD ID": 30019, @@ -3081,7 +3328,8 @@ "All Fuels (Wh/pkm)": 742.5576469236696, "Unlinked Passenger Trips": 118826128, "Passenger Paid Fares": 128086835, - "Average Fare": 1.0779349386862123 + "Average Fare": 1.0779349386862123, + "Average Passengers": 8.566767591725057 }, { "NTD ID": 30019, @@ -3093,7 +3341,8 @@ "All Fuels (Wh/pkm)": 326.1854721474828, "Unlinked Passenger Trips": 20713198, "Passenger Paid Fares": 21595907, - "Average Fare": 1.0426157757001115 + "Average Fare": 1.0426157757001115, + "Average Passengers": 17.853261317803728 }, { "NTD ID": 30019, @@ -3105,7 +3354,8 @@ "All Fuels (Wh/pkm)": 500.55495835746194, "Unlinked Passenger Trips": 4647076, "Passenger Paid Fares": 3847568, - "Average Fare": 0.8279546105981481 + "Average Fare": 0.8279546105981481, + "Average Passengers": 15.2445202643497 }, { "NTD ID": 30022, @@ -3117,7 +3367,8 @@ "All Fuels (Wh/pkm)": 2313.8356450941815, "Unlinked Passenger Trips": 1091093, "Passenger Paid Fares": 1043759, - "Average Fare": 0.9566178135136052 + "Average Fare": 0.9566178135136052, + "Average Passengers": 1.1622359690352841 }, { "NTD ID": 30022, @@ -3129,7 +3380,8 @@ "All Fuels (Wh/pkm)": 3096.6762877654, "Unlinked Passenger Trips": 351056, "Passenger Paid Fares": 332548, - "Average Fare": 0.9472790665876669 + "Average Fare": 0.9472790665876669, + "Average Passengers": 3.4601045883940618 }, { "NTD ID": 30022, @@ -3137,7 +3389,8 @@ "UACE Code": "69697", "Unlinked Passenger Trips": 5572417, "Passenger Paid Fares": 5063372, - "Average Fare": 0.9086491552947312 + "Average Fare": 0.9086491552947312, + "Average Passengers": 15.000122181969681 }, { "NTD ID": 30022, @@ -3149,7 +3402,8 @@ "All Fuels (Wh/pkm)": 886.5407216411875, "Unlinked Passenger Trips": 44772584, "Passenger Paid Fares": 46042358, - "Average Fare": 1.0283605252714474 + "Average Fare": 1.0283605252714474, + "Average Passengers": 7.239297486718507 }, { "NTD ID": 30023, @@ -3161,7 +3415,8 @@ "All Fuels (Wh/pkm)": 1816.6281053440186, "Unlinked Passenger Trips": 63375, "Passenger Paid Fares": 84062, - "Average Fare": 1.326422090729783 + "Average Fare": 1.326422090729783, + "Average Passengers": 1.4993965835341103 }, { "NTD ID": 30023, @@ -3177,7 +3432,8 @@ "All Fuels (Wh/pkm)": 327.588640437463, "Unlinked Passenger 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30027, @@ -3239,7 +3498,8 @@ "All Fuels (Wh/pkm)": 742.5792355128453, "Unlinked Passenger Trips": 57582, "Passenger Paid Fares": 162111, - "Average Fare": 2.8153068667291863 + "Average Fare": 2.8153068667291863, + "Average Passengers": 3.5943693900683154 }, { "NTD ID": 30027, @@ -3253,7 +3513,8 @@ "All Fuels (Wh/pkm)": 3019.4561395620135, "Unlinked Passenger Trips": 543392, "Passenger Paid Fares": 512526, - "Average Fare": 0.9431975443142335 + "Average Fare": 0.9431975443142335, + "Average Passengers": 0.9994784265244843 }, { "NTD ID": 30027, @@ -3269,7 +3530,8 @@ "All Fuels (Wh/pkm)": 992.2321593502203, "Unlinked Passenger Trips": 1245734, "Passenger Paid Fares": 1005947, - "Average Fare": 0.8075134820114085 + "Average Fare": 0.8075134820114085, + "Average Passengers": 3.874514684190177 }, { "NTD ID": 30030, @@ -3281,7 +3543,8 @@ "All Fuels (Wh/pkm)": 955.8157893085651, "Unlinked Passenger Trips": 1794584, "Passenger Paid Fares": 6675614, - "Average Fare": 3.7198671112636688 + "Average Fare": 3.7198671112636688, + "Average Passengers": 1.084709717475733 }, { "NTD ID": 30030, @@ -3293,7 +3556,8 @@ "All Fuels (Wh/pkm)": 65.86914668059755, "Unlinked Passenger Trips": 174540714, "Passenger Paid Fares": 402762189, - "Average Fare": 2.307554379547227 + "Average Fare": 2.307554379547227, + "Average Passengers": 83.76250515167264 }, { "NTD ID": 30030, @@ -3309,7 +3573,8 @@ "All Fuels (Wh/pkm)": 703.221213224528, "Unlinked Passenger Trips": 97210648, "Passenger Paid Fares": 83515972, - "Average Fare": 0.8591237042263107 + "Average Fare": 0.8591237042263107, + "Average Passengers": 6.620380480859221 }, { "NTD ID": 30034, @@ -3323,7 +3588,8 @@ "All Fuels (Wh/pkm)": 604.4233448817329, "Unlinked Passenger Trips": 6680248, "Passenger Paid Fares": 37208606, - "Average Fare": 5.5699438104693115 + "Average Fare": 5.5699438104693115, + "Average Passengers": 180.59074349051733 }, { "NTD ID": 30034, @@ -3335,7 +3601,8 @@ "All Fuels (Wh/pkm)": 2930.4571155938065, "Unlinked Passenger Trips": 2505705, "Passenger Paid Fares": 3208970, - "Average Fare": 1.280665521280438 + "Average Fare": 1.280665521280438, + "Average Passengers": 1.1857891241580858 }, { "NTD ID": 30034, @@ -3347,7 +3614,8 @@ "All Fuels (Wh/pkm)": 228.60475060133493, "Unlinked Passenger Trips": 4652718, "Passenger Paid Fares": 4682551, - "Average Fare": 1.0064119510359322 + "Average Fare": 1.0064119510359322, + "Average Passengers": 25.40217381955176 }, { "NTD ID": 30034, @@ -3355,7 +3623,8 @@ "UACE Code": "04843", "Unlinked Passenger Trips": 55439277, "Passenger Paid Fares": 34182621, - "Average Fare": 0.6165776837241221 + "Average Fare": 0.6165776837241221, + "Average Passengers": 7.414316207246466 }, { "NTD ID": 30035, @@ -3367,7 +3636,8 @@ "All Fuels (Wh/pkm)": 6509.378644015901, "Unlinked Passenger Trips": 3681, "Passenger Paid Fares": 8016, - "Average Fare": 2.1776691116544415 + "Average Fare": 2.1776691116544415, + "Average Passengers": 0.4466531840378829 }, { "NTD ID": 30035, @@ -3375,7 +3645,8 @@ "UACE Code": "94726", "Unlinked Passenger Trips": 311051, "Passenger Paid Fares": 275561, - "Average Fare": 0.8859029548209136 + "Average Fare": 0.8859029548209136, + "Average Passengers": 1.4308882719968936 }, { "NTD ID": 30044, @@ -3389,7 +3660,8 @@ "All Fuels (Wh/pkm)": 916.9710067651625, "Unlinked Passenger Trips": 292220, "Passenger Paid Fares": 846047, - "Average Fare": 2.8952398877558005 + "Average Fare": 2.8952398877558005, + "Average Passengers": 3.1286916700400065 }, { "NTD ID": 30045, @@ -3401,7 +3673,8 @@ "All Fuels (Wh/pkm)": 679.773240557842, "Unlinked Passenger Trips": 55083, "Passenger Paid Fares": 169115, - "Average Fare": 3.07018499355518 + "Average Fare": 3.07018499355518, + "Average Passengers": 4.300004270633956 }, { "NTD ID": 30045, @@ -3413,7 +3686,8 @@ "All Fuels (Wh/pkm)": 2603.211582667364, "Unlinked Passenger Trips": 212851, "Passenger Paid Fares": 685020, - "Average Fare": 3.2183076424353185 + "Average Fare": 3.2183076424353185, + "Average Passengers": 1.3799123052552733 }, { "NTD ID": 30048, @@ -3425,7 +3699,8 @@ "All Fuels (Wh/pkm)": 2985.642295272814, "Unlinked Passenger Trips": 81374, "Passenger Paid Fares": 265656, - "Average Fare": 3.264629980091921 + "Average Fare": 3.264629980091921, + "Average Passengers": 0.8906156561486929 }, { "NTD ID": 30048, @@ -3441,7 +3716,8 @@ "All Fuels (Wh/pkm)": 2151.620239833344, "Unlinked Passenger Trips": 494604, "Passenger Paid Fares": 417890, - "Average Fare": 0.8448981407348101 + "Average Fare": 0.8448981407348101, + "Average Passengers": 2.058328774107373 }, { "NTD ID": 30051, @@ -3455,7 +3731,8 @@ "All Fuels (Wh/pkm)": 812.2890316053957, "Unlinked Passenger Trips": 16305392, "Passenger Paid Fares": 13380788, - "Average Fare": 0.820635774963276 + "Average Fare": 0.820635774963276, + "Average Passengers": 5.345476208708228 }, { "NTD ID": 30054, @@ -3467,7 +3744,8 @@ "All Fuels (Wh/pkm)": 4234.5561803331375, "Unlinked Passenger Trips": 24860, "Passenger Paid Fares": 65331, - "Average Fare": 2.627956556717619 + "Average Fare": 2.627956556717619, + "Average Passengers": 0.6777843857022743 }, { "NTD ID": 30054, @@ -3479,7 +3757,8 @@ "All Fuels (Wh/pkm)": 198.4237369865502, "Unlinked Passenger Trips": 4988510, "Passenger Paid Fares": 957850, - "Average Fare": 0.19201124183373391 + "Average Fare": 0.19201124183373391, + "Average Passengers": 8.865198845044173 }, { "NTD ID": 30054, @@ -3493,7 +3772,8 @@ "All Fuels (Wh/pkm)": 215.89163078377706, "Unlinked Passenger Trips": 120157, "Passenger Paid Fares": 277439, - "Average Fare": 2.3089707632514127 + "Average Fare": 2.3089707632514127, + "Average Passengers": 7.17922478489575 }, { "NTD ID": 30058, @@ -3505,7 +3785,8 @@ "All Fuels (Wh/pkm)": 1349.9008174448556, "Unlinked Passenger Trips": 488078, "Passenger Paid Fares": 303306, - "Average Fare": 0.621429361700384 + "Average Fare": 0.621429361700384, + "Average Passengers": 3.6085396679308817 }, { "NTD ID": 30068, @@ -3517,7 +3798,8 @@ "All Fuels (Wh/pkm)": 1528.600036881408, "Unlinked Passenger Trips": 6788632, "Passenger Paid Fares": 7645198, - "Average Fare": 1.1261765256976664 + "Average Fare": 1.1261765256976664, + "Average Passengers": 3.1173801968631385 }, { "NTD ID": 30070, @@ -3529,7 +3811,8 @@ "All Fuels (Wh/pkm)": 390.5461240990357, "Unlinked Passenger Trips": 1124214, "Passenger Paid Fares": 7922808, - "Average Fare": 7.047419797298379 + "Average Fare": 7.047419797298379, + "Average Passengers": 9.86689810492165 }, { "NTD ID": 30070, @@ -3541,7 +3824,8 @@ "All Fuels (Wh/pkm)": 1920.870089975067, "Unlinked Passenger Trips": 676002, "Passenger Paid Fares": 478009, - "Average Fare": 0.7071118132786589 + "Average Fare": 0.7071118132786589, + "Average Passengers": 4.45560223324481 }, { "NTD ID": 30070, @@ -3553,7 +3837,8 @@ "All Fuels (Wh/pkm)": 631.6523725820581, "Unlinked Passenger Trips": 1183346, "Passenger Paid Fares": 10320248, - "Average Fare": 8.72124298387792 + "Average Fare": 8.72124298387792, + "Average Passengers": 5.464025782407051 }, { "NTD ID": 30071, @@ -3565,7 +3850,8 @@ "All Fuels (Wh/pkm)": 2110.80253725066, "Unlinked Passenger Trips": 3156784, "Passenger Paid Fares": 2610002, - "Average Fare": 0.8267914434437073 + "Average Fare": 0.8267914434437073, + "Average Passengers": 2.6480643454671986 }, { "NTD ID": 30072, @@ -3579,7 +3865,8 @@ "All Fuels (Wh/pkm)": 2087.9234640008126, "Unlinked Passenger Trips": 34028, "Passenger Paid Fares": 47298, - "Average Fare": 1.3899729634418714 + "Average Fare": 1.3899729634418714, + "Average Passengers": 0.7185607966275177 }, { "NTD ID": 30072, @@ -3595,7 +3882,8 @@ "All Fuels (Wh/pkm)": 1293.1831691152, "Unlinked Passenger Trips": 449374, "Passenger Paid Fares": 415376, - "Average Fare": 0.9243436424893297 + "Average Fare": 0.9243436424893297, + "Average Passengers": 3.1727312530009883 }, { "NTD ID": 30073, @@ -3607,7 +3895,8 @@ "All Fuels (Wh/pkm)": 345.5528309971979, "Unlinked Passenger Trips": 3222428, "Passenger Paid Fares": 34701955, - "Average Fare": 10.768884518133532 + "Average Fare": 10.768884518133532, + "Average Passengers": 293.39881663895505 }, { "NTD ID": 30075, @@ -3620,7 +3909,8 @@ "All Fuels (Wh/pkm)": 2490.2055013908443, "Unlinked Passenger Trips": 768922, "Passenger Paid Fares": 2078993, - "Average Fare": 2.70377619576498 + "Average Fare": 2.70377619576498, + "Average Passengers": 1.1310286979705428 }, { "NTD ID": 30075, @@ -3636,7 +3926,8 @@ "All Fuels (Wh/pkm)": 1381.2371380689044, "Unlinked Passenger Trips": 6007422, "Passenger Paid Fares": 5843667, - "Average Fare": 0.9727412191119585 + "Average Fare": 0.9727412191119585, + "Average Passengers": 3.524193670908701 }, { "NTD ID": 30076, @@ -3648,7 +3939,8 @@ "All Fuels (Wh/pkm)": 2987.453920110196, "Unlinked Passenger Trips": 11410, "Passenger Paid Fares": 27900, - "Average Fare": 2.4452234881682733 + "Average Fare": 2.4452234881682733, + "Average Passengers": 0.7640433838062102 }, { "NTD ID": 30076, @@ -3662,7 +3954,8 @@ "All Fuels (Wh/pkm)": 1429.8909462014813, "Unlinked Passenger Trips": 845939, "Passenger Paid Fares": 406479, - "Average Fare": 0.48050627763940423 + "Average Fare": 0.48050627763940423, + "Average Passengers": 4.135558558558559 }, { "NTD ID": 30078, @@ -3674,7 +3967,8 @@ "All Fuels (Wh/pkm)": 597.880668306021, "Unlinked Passenger Trips": 80251, "Passenger Paid Fares": 424656, - "Average Fare": 5.29159761249081 + "Average Fare": 5.29159761249081, + "Average Passengers": 6.351185804940791 }, { "NTD ID": 30080, @@ -3686,7 +3980,8 @@ "All Fuels (Wh/pkm)": 1106.0892280282746, "Unlinked Passenger Trips": 65137, "Passenger Paid Fares": 294482, - "Average Fare": 4.520963507683805 + "Average Fare": 4.520963507683805, + "Average Passengers": 1.4435815102328862 }, { "NTD ID": 30080, @@ -3698,7 +3993,8 @@ "All Fuels (Wh/pkm)": 856.309951557047, "Unlinked Passenger Trips": 2467292, "Passenger Paid Fares": 3198904, - "Average Fare": 1.2965242865457351 + "Average Fare": 1.2965242865457351, + "Average Passengers": 2.8344116503091077 }, { "NTD ID": 30081, @@ -3710,7 +4006,8 @@ "All Fuels (Wh/pkm)": 437.3656036672699, "Unlinked Passenger Trips": 957639, "Passenger Paid Fares": 6994993, - "Average Fare": 7.304415338138902 + "Average Fare": 7.304415338138902, + "Average Passengers": 10.607557253118683 }, { "NTD ID": 30081, @@ -3722,7 +4019,8 @@ "All Fuels (Wh/pkm)": 2606.5112372562835, "Unlinked Passenger Trips": 11907, "Passenger Paid Fares": 21674, - "Average Fare": 1.8202737885277567 + "Average Fare": 1.8202737885277567, + "Average Passengers": 0.5178679495330969 }, { "NTD ID": 30081, @@ -3736,7 +4034,8 @@ "All Fuels (Wh/pkm)": 1665.7948929931279, "Unlinked Passenger Trips": 339700, "Passenger Paid Fares": 165754, - "Average Fare": 0.487942302031204 + "Average Fare": 0.487942302031204, + "Average Passengers": 1.7431647281501286 }, { "NTD ID": 30083, @@ -3744,7 +4043,8 @@ "UACE Code": "90892", "Unlinked Passenger Trips": 336232, "Passenger Paid Fares": 643494, - "Average Fare": 1.9138392538485332 + "Average Fare": 1.9138392538485332, + "Average Passengers": 0.8599823028949436 }, { "NTD ID": 30083, @@ -3756,7 +4056,8 @@ "All Fuels (Wh/pkm)": 4460.936695399843, "Unlinked Passenger Trips": 208338, "Passenger Paid Fares": 177845, - "Average Fare": 0.8536368785339209 + "Average Fare": 0.8536368785339209, + "Average Passengers": 8.678164924506387 }, { "NTD ID": 30083, @@ -3764,7 +4065,8 @@ "UACE Code": "90892", "Unlinked Passenger Trips": 1044002, "Passenger Paid Fares": 1124608, - "Average Fare": 1.0772086643512178 + "Average Fare": 1.0772086643512178, + "Average Passengers": 9.770272033684503 }, { "NTD ID": 30083, @@ -3776,7 +4078,8 @@ "All Fuels (Wh/pkm)": 1345.229454110227, "Unlinked Passenger Trips": 8587688, "Passenger Paid Fares": 9744728, - "Average Fare": 1.1347324215784271 + "Average Fare": 1.1347324215784271, + "Average Passengers": 4.194079495438167 }, { "NTD ID": 30083, @@ -3788,7 +4091,8 @@ "All Fuels (Wh/pkm)": 449.85431660771866, "Unlinked Passenger Trips": 97113, "Passenger Paid Fares": 512146, - "Average Fare": 5.273712067385417 + "Average Fare": 5.273712067385417, + "Average Passengers": 5.779537920204723 }, { "NTD ID": 30085, @@ -3801,7 +4105,8 @@ "Gasoline (Wh/pkm)": 6444.85859514876, "Diesel (Wh/pkm)": 2449.0740365536917, "All Fuels (Wh/pkm)": 3605.2860404449757, - "Unlinked Passenger Trips": 63745 + "Unlinked Passenger Trips": 63745, + "Average Passengers": 1.0886534583746759 }, { "NTD ID": 30085, @@ -3813,7 +4118,8 @@ "All Fuels (Wh/pkm)": 1504.924911652287, "Unlinked Passenger Trips": 2039483, "Passenger Paid Fares": 695005, - "Average Fare": 0.3407750885886276 + "Average Fare": 0.3407750885886276, + "Average Passengers": 4.491258323463941 }, { "NTD ID": 30088, @@ -3825,7 +4131,8 @@ "All Fuels (Wh/pkm)": 2941.8257369506864, "Unlinked Passenger Trips": 47633, "Passenger Paid Fares": 24496, - "Average Fare": 0.5142653202611634 + "Average Fare": 0.5142653202611634, + "Average Passengers": 0.7141542220791336 }, { "NTD ID": 30088, @@ -3837,7 +4144,8 @@ "All Fuels (Wh/pkm)": 1704.0169675444913, "Unlinked Passenger Trips": 650389, "Passenger Paid Fares": 330288, - "Average Fare": 0.507831467014356 + "Average Fare": 0.507831467014356, + "Average Passengers": 3.3024160152935496 }, { "NTD ID": 30091, @@ -3845,7 +4153,8 @@ "UACE Code": "08002", "Unlinked Passenger Trips": 24724, "Passenger Paid Fares": 4072, - "Average Fare": 0.16469826888852937 + "Average Fare": 0.16469826888852937, + "Average Passengers": 0.49520330927653583 }, { "NTD ID": 30091, @@ -3859,7 +4168,8 @@ "All Fuels (Wh/pkm)": 843.4714360745386, "Unlinked Passenger Trips": 3532537, "Passenger Paid Fares": 68115, - "Average Fare": 0.019282175954561834 + "Average Fare": 0.019282175954561834, + "Average Passengers": 6.364580238815373 }, { "NTD ID": 30094, @@ -3871,7 +4181,8 @@ "All Fuels (Wh/pkm)": 6359.290278071511, "Unlinked Passenger Trips": 27146, "Passenger Paid Fares": 34005, - "Average Fare": 1.2526707433876076 + "Average Fare": 1.2526707433876076, + "Average Passengers": 0.7128380028326305 }, { "NTD ID": 30094, @@ -3885,7 +4196,8 @@ "All Fuels (Wh/pkm)": 1048.2810070727094, "Unlinked Passenger Trips": 1845699, "Passenger Paid Fares": 100510, - "Average Fare": 0.054456333345794736 + "Average Fare": 0.054456333345794736, + "Average Passengers": 5.905833875789194 }, { "NTD ID": 30095, @@ -3897,7 +4209,8 @@ "All Fuels (Wh/pkm)": 2188.745969246094, "Unlinked Passenger Trips": 39333, "Passenger Paid Fares": 67031, - "Average Fare": 1.7041924084102407 + "Average Fare": 1.7041924084102407, + "Average Passengers": 1.332539973624041 }, { "NTD ID": 30095, @@ -3911,7 +4224,8 @@ "All Fuels (Wh/pkm)": 1566.2936818422588, "Unlinked Passenger Trips": 248344, "Passenger Paid Fares": 271057, - "Average Fare": 1.0914578165770061 + "Average Fare": 1.0914578165770061, + "Average Passengers": 2.3215251570080597 }, { "NTD ID": 30096, @@ -3922,7 +4236,8 @@ "All Fuels (Wh/pkm)": 2358.078611571154, "Unlinked Passenger Trips": 52364, "Passenger Paid Fares": 174488, - "Average Fare": 3.332212970743259 + "Average Fare": 3.332212970743259, + "Average Passengers": 0.9928399422058114 }, { "NTD ID": 30096, @@ -3937,7 +4252,8 @@ "All Fuels (Wh/pkm)": 689.8483392988193, "Unlinked Passenger Trips": 193813, "Passenger Paid Fares": 213263, - "Average Fare": 1.1003544653867388 + "Average Fare": 1.1003544653867388, + "Average Passengers": 5.465281569378419 }, { "NTD ID": 30107, @@ -3949,7 +4265,8 @@ "All Fuels (Wh/pkm)": 680.3237763697945, "Unlinked Passenger Trips": 1484262, "Passenger Paid Fares": 6880999, - "Average Fare": 4.635973298514683 + "Average Fare": 4.635973298514683, + "Average Passengers": 5.595443384006549 }, { "NTD ID": 30111, @@ -3961,7 +4278,8 @@ "All Fuels (Wh/pkm)": 3833.255882105116, "Unlinked Passenger Trips": 170078, "Passenger Paid Fares": 175434, - "Average Fare": 1.0314914333423488 + "Average Fare": 1.0314914333423488, + "Average Passengers": 0.8521704671804126 }, { "NTD ID": 30111, @@ -3975,7 +4293,8 @@ "All Fuels (Wh/pkm)": 1277.9950743413638, "Unlinked Passenger Trips": 78250, "Passenger Paid Fares": 137189, - "Average Fare": 1.7532140575079873 + "Average Fare": 1.7532140575079873, + "Average Passengers": 3.1795996135520013 }, { "NTD ID": 30112, @@ -3985,7 +4304,8 @@ "Electric (Wh/pkm)": 1859.2360562676179, "Unlinked Passenger Trips": 2005653, "Passenger Paid Fares": 706000, - "Average Fare": 0.3520050577043985 + "Average Fare": 0.3520050577043985, + "Average Passengers": 1.7572241790348004 }, { "NTD ID": 30112, @@ -3995,7 +4315,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1896.955810330137, "All Fuels (Wh/pkm)": 1896.955810330137, - "Unlinked Passenger Trips": 504920 + "Unlinked Passenger Trips": 504920, + "Average Passengers": 3.472526392005077 }, { "NTD ID": 30129, @@ -4005,7 +4326,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 5454.995680213256, "All Fuels (Wh/pkm)": 5454.995680213256, - "Unlinked Passenger Trips": 62664 + "Unlinked Passenger Trips": 62664, + "Average Passengers": 0.6384039518115255 }, { "NTD ID": 30201, @@ -4015,7 +4337,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1662.91491236802, "All Fuels (Wh/pkm)": 1662.91491236802, - "Unlinked Passenger Trips": 231072 + "Unlinked Passenger Trips": 231072, + "Average Passengers": 4.772987219652892 }, { "NTD ID": 30201, @@ -4025,7 +4348,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2227.734830607258, "All Fuels (Wh/pkm)": 2227.734830607258, - "Unlinked Passenger Trips": 1083604 + "Unlinked Passenger Trips": 1083604, + "Average Passengers": 4.67611148027185 }, { "NTD ID": 30202, @@ -4037,7 +4361,8 @@ "All Fuels (Wh/pkm)": 2310.8908082381877, "Unlinked Passenger Trips": 405164, "Passenger Paid Fares": 459670, - "Average Fare": 1.1345282404162265 + "Average Fare": 1.1345282404162265, + "Average Passengers": 1.2394324032858848 }, { "NTD ID": 30202, @@ -4049,7 +4374,8 @@ "All Fuels (Wh/pkm)": 762.163454165242, "Unlinked Passenger Trips": 3847195, "Passenger Paid Fares": 3365719, - "Average Fare": 0.8748501180730376 + "Average Fare": 0.8748501180730376, + "Average Passengers": 5.308070534133024 }, { "NTD ID": 40001, @@ -4061,7 +4387,8 @@ "All Fuels (Wh/pkm)": 5949.018487177029, "Unlinked Passenger Trips": 52880, "Passenger Paid Fares": 124986, - "Average Fare": 2.3635779122541605 + "Average Fare": 2.3635779122541605, + "Average Passengers": 0.6733495068405982 }, { "NTD ID": 40001, @@ -4073,7 +4400,8 @@ "All Fuels (Wh/pkm)": 202.61359530163068, "Unlinked Passenger Trips": 277338, "Passenger Paid Fares": 1817397, - "Average Fare": 6.5530039157994935 + "Average Fare": 6.5530039157994935, + "Average Passengers": 22.44560470856275 }, { "NTD ID": 40001, @@ -4089,7 +4417,8 @@ "All Fuels (Wh/pkm)": 1764.7505832166075, "Unlinked Passenger Trips": 1766095, "Passenger Paid Fares": 1457002, - "Average Fare": 0.8249850659222748 + "Average Fare": 0.8249850659222748, + "Average Passengers": 2.9605667904961477 }, { "NTD ID": 40002, @@ -4097,7 +4426,8 @@ "UACE Code": "45640", "Unlinked Passenger Trips": 60941, "Passenger Paid Fares": 124862, - "Average Fare": 2.0488997555012225 + "Average Fare": 2.0488997555012225, + "Average Passengers": 0.8592216378288252 }, { "NTD ID": 40002, @@ -4111,7 +4441,8 @@ "All Fuels (Wh/pkm)": 2307.06660931728, "Unlinked Passenger Trips": 2470371, "Passenger Paid Fares": 1285731, - "Average Fare": 0.5204606919365553 + "Average Fare": 0.5204606919365553, + "Average Passengers": 2.424623381343032 }, { "NTD ID": 40003, @@ -4123,7 +4454,8 @@ "All Fuels (Wh/pkm)": 5063.795560427239, "Unlinked Passenger Trips": 159929, "Passenger Paid Fares": 341914, - "Average Fare": 2.1379111980941543 + "Average Fare": 2.1379111980941543, + "Average Passengers": 0.9971278987136164 }, { "NTD ID": 40003, @@ -4137,7 +4469,8 @@ "All Fuels (Wh/pkm)": 1043.1966970487028, "Unlinked Passenger Trips": 4683851, "Passenger Paid Fares": 3954520, - "Average Fare": 0.8442881722753349 + "Average Fare": 0.8442881722753349, + "Average Passengers": 5.4680198520327155 }, { "NTD ID": 40003, @@ -4149,7 +4482,8 @@ "All Fuels (Wh/pkm)": 1558.4654447641321, "Unlinked Passenger Trips": 241074, "Passenger Paid Fares": 134521, - "Average Fare": 0.5580070849614641 + "Average Fare": 0.5580070849614641, + "Average Passengers": 5.3464011917305525 }, { "NTD ID": 40004, @@ -4161,7 +4495,8 @@ "All Fuels (Wh/pkm)": 3132.2028431157796, "Unlinked Passenger Trips": 325487, "Passenger Paid Fares": 924488, - "Average Fare": 2.840322347743535 + "Average Fare": 2.840322347743535, + "Average Passengers": 1.343137551576567 }, { "NTD ID": 40004, @@ -4177,7 +4512,8 @@ "All Fuels (Wh/pkm)": 1007.8421727703384, "Unlinked Passenger Trips": 7393644, "Passenger Paid Fares": 4088182, - "Average Fare": 0.5529319507403927 + "Average Fare": 0.5529319507403927, + "Average Passengers": 5.422906189607403 }, { "NTD ID": 40005, @@ -4191,7 +4527,8 @@ "All Fuels (Wh/pkm)": 1369.025308136563, "Unlinked Passenger Trips": 1408523, "Passenger Paid Fares": 392549, - "Average Fare": 0.2786954845607775 + "Average Fare": 0.2786954845607775, + "Average Passengers": 3.6240738486636705 }, { "NTD ID": 40006, @@ -4203,7 +4540,8 @@ "All Fuels (Wh/pkm)": 3055.278699933264, "Unlinked Passenger Trips": 49100, "Passenger Paid Fares": 64309, - "Average Fare": 1.309755600814664 + "Average Fare": 1.309755600814664, + "Average Passengers": 0.8477283168886208 }, { "NTD ID": 40006, @@ -4217,7 +4555,8 @@ "All Fuels (Wh/pkm)": 1455.1779953359542, "Unlinked Passenger Trips": 1114998, "Passenger Paid Fares": 1224812, - "Average Fare": 1.0984880690368952 + "Average Fare": 1.0984880690368952, + "Average Passengers": 2.563259339558337 }, { "NTD ID": 40006, @@ -4227,7 +4566,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 323.01769909962485, "All Fuels (Wh/pkm)": 323.01769909962485, - "Unlinked Passenger Trips": 2187 + "Unlinked Passenger Trips": 2187, + "Average Passengers": 3.4347194479753043 }, { "NTD ID": 40008, @@ -4239,7 +4579,8 @@ "All Fuels (Wh/pkm)": 2297.369663202854, "Unlinked Passenger Trips": 205685, "Passenger Paid Fares": 590067, - "Average Fare": 2.868789654082699 + "Average Fare": 2.868789654082699, + "Average Passengers": 0.9348677613026709 }, { "NTD ID": 40008, @@ -4251,7 +4592,8 @@ "All Fuels (Wh/pkm)": 139.5128492774107, "Unlinked Passenger Trips": 7261944, "Passenger Paid Fares": 4924175, - "Average Fare": 0.6780794509018522 + "Average Fare": 0.6780794509018522, + "Average Passengers": 32.968223770245544 }, { "NTD ID": 40008, @@ -4263,7 +4605,8 @@ "All Fuels (Wh/pkm)": 1220.6556143233352, "Unlinked Passenger Trips": 11971059, "Passenger Paid Fares": 10631720, - "Average Fare": 0.8881185866680633 + "Average Fare": 0.8881185866680633, + "Average Passengers": 4.58096877797558 }, { "NTD ID": 40008, @@ -4275,7 +4618,8 @@ "All Fuels (Wh/pkm)": 316.9907601795264, "Unlinked Passenger Trips": 85334, "Passenger Paid Fares": 364891, - "Average Fare": 4.276032999742189 + "Average Fare": 4.276032999742189, + "Average Passengers": 4.332526175737609 }, { "NTD ID": 40009, @@ -4286,7 +4630,8 @@ "All Fuels (Wh/pkm)": 4327.314647816612, "Unlinked Passenger Trips": 62251, "Passenger Paid Fares": 92280, - "Average Fare": 1.4823858251273072 + "Average Fare": 1.4823858251273072, + "Average Passengers": 1.1299166121682298 }, { "NTD ID": 40009, @@ -4301,7 +4646,8 @@ "All Fuels (Wh/pkm)": 908.7089299436574, "Unlinked Passenger Trips": 1868255, "Passenger Paid Fares": 688720, - "Average Fare": 0.3686434667644406 + "Average Fare": 0.3686434667644406, + "Average Passengers": 5.788034647647701 }, { "NTD ID": 40012, @@ -4313,7 +4659,8 @@ "All Fuels (Wh/pkm)": 2457.39252247562, "Unlinked Passenger Trips": 197052, "Passenger Paid Fares": 160067, - "Average Fare": 0.8123084262022208 + "Average Fare": 0.8123084262022208, + "Average Passengers": 1.4912992352534005 }, { "NTD ID": 40012, @@ -4327,7 +4674,8 @@ "All Fuels (Wh/pkm)": 1731.0197651232006, "Unlinked Passenger Trips": 2230143, "Passenger Paid Fares": 1036745, - "Average Fare": 0.4648782611697994 + "Average Fare": 0.4648782611697994, + "Average Passengers": 2.9611337964705338 }, { "NTD ID": 40014, @@ -4340,7 +4688,8 @@ "All Fuels (Wh/pkm)": 2759.598427986924, "Unlinked Passenger Trips": 29798, "Passenger Paid Fares": 22511, - "Average Fare": 0.7554533861332975 + "Average Fare": 0.7554533861332975, + "Average Passengers": 1.1418362817368777 }, { "NTD ID": 40014, @@ -4352,7 +4701,8 @@ "All Fuels (Wh/pkm)": 1176.5365044606776, "Unlinked Passenger Trips": 475909, "Passenger Paid Fares": 437038, - "Average Fare": 0.9183226205009781 + "Average Fare": 0.9183226205009781, + "Average Passengers": 2.774181314426881 }, { "NTD ID": 40014, @@ -4364,7 +4714,8 @@ "All Fuels (Wh/pkm)": 729.5334010782385, "Unlinked Passenger Trips": 61257, "Passenger Paid Fares": 379361, - "Average Fare": 6.192941214881564 + "Average Fare": 6.192941214881564, + "Average Passengers": 6.159042698401464 }, { "NTD ID": 40015, @@ -4378,7 +4729,8 @@ "All Fuels (Wh/pkm)": 4236.33456833338, "Unlinked Passenger Trips": 43317, "Passenger Paid Fares": 43794, - "Average Fare": 1.0110118429254102 + "Average Fare": 1.0110118429254102, + "Average Passengers": 0.7507068187752676 }, { "NTD ID": 40015, @@ -4386,7 +4738,8 @@ "UACE Code": "42211", "Unlinked Passenger Trips": 457188, "Passenger Paid Fares": 178718, - "Average Fare": 0.3909070229314855 + "Average Fare": 0.3909070229314855, + "Average Passengers": 1.105737408178618 }, { "NTD ID": 40017, @@ -4404,7 +4757,8 @@ "All Fuels (Wh/pkm)": 571.5298409441879, "Unlinked Passenger Trips": 3784422, "Passenger Paid Fares": 872506, - "Average Fare": 0.2305519838960877 + "Average Fare": 0.2305519838960877, + "Average Passengers": 8.681340645400178 }, { "NTD ID": 40017, @@ -4416,7 +4770,8 @@ "All Fuels (Wh/pkm)": 461.58875471026056, "Unlinked Passenger Trips": 13700, "Passenger Paid Fares": 60076, - "Average Fare": 4.385109489051095 + "Average Fare": 4.385109489051095, + "Average Passengers": 4.9190488305740825 }, { "NTD ID": 40018, @@ -4430,7 +4785,8 @@ "All Fuels (Wh/pkm)": 1554.9768843353418, "Unlinked Passenger Trips": 486912, "Passenger Paid Fares": 1363172, - "Average Fare": 2.7996270373291274 + "Average Fare": 2.7996270373291274, + "Average Passengers": 1.7364600080385852 }, { "NTD ID": 40018, @@ -4444,7 +4800,8 @@ "All Fuels (Wh/pkm)": 1079.5669705087544, "Unlinked Passenger Trips": 8224515, "Passenger Paid Fares": 7007577, - "Average Fare": 0.8520352871871472 + "Average Fare": 0.8520352871871472, + "Average Passengers": 4.6231639128864 }, { "NTD ID": 40019, @@ -4458,7 +4815,8 @@ "All Fuels (Wh/pkm)": 3465.7746956319843, "Unlinked Passenger Trips": 72791, "Passenger Paid Fares": 156806, - "Average Fare": 2.1541948867305023 + "Average Fare": 2.1541948867305023, + "Average Passengers": 0.7704493039816208 }, { "NTD ID": 40019, @@ -4470,7 +4828,8 @@ "All Fuels (Wh/pkm)": 1179.8056157832063, "Unlinked Passenger Trips": 2398554, "Passenger Paid Fares": 2364155, - "Average Fare": 0.9856584425449667 + "Average Fare": 0.9856584425449667, + "Average Passengers": 5.135131099945387 }, { "NTD ID": 40021, @@ -4484,7 +4843,8 @@ "All Fuels (Wh/pkm)": 1002.2575716762635, "Unlinked Passenger Trips": 16604, "Passenger Paid Fares": 36527, - "Average Fare": 2.1998915923873765 + "Average Fare": 2.1998915923873765, + "Average Passengers": 1.0297831240670823 }, { "NTD ID": 40021, @@ -4498,7 +4858,8 @@ "All Fuels (Wh/pkm)": 565.707198660243, "Unlinked Passenger Trips": 617039, "Passenger Paid Fares": 290662, - "Average Fare": 0.4710593657775278 + "Average Fare": 0.4710593657775278, + "Average Passengers": 6.071243383385546 }, { "NTD ID": 40022, @@ -4510,7 +4871,8 @@ "All Fuels (Wh/pkm)": 3997.8494430860765, "Unlinked Passenger Trips": 669966, "Passenger Paid Fares": 803998, - "Average Fare": 1.2000579133866496 + "Average Fare": 1.2000579133866496, + "Average Passengers": 1.003349007277865 }, { "NTD ID": 40022, @@ -4522,7 +4884,8 @@ "All Fuels (Wh/pkm)": 29.720114799810023, "Unlinked Passenger Trips": 45302714, "Passenger Paid Fares": 64069974, - "Average Fare": 1.4142634809914478 + "Average Fare": 1.4142634809914478, + "Average Passengers": 88.72093088979025 }, { "NTD ID": 40022, @@ -4536,7 +4899,8 @@ "All Fuels (Wh/pkm)": 468.69872195347233, "Unlinked Passenger Trips": 44638499, "Passenger Paid Fares": 35340576, - "Average Fare": 0.791706190658427 + "Average Fare": 0.791706190658427, + "Average Passengers": 6.068217635276966 }, { "NTD ID": 40022, @@ -4548,7 +4912,8 @@ "All Fuels (Wh/pkm)": 2433.6929176834547, "Unlinked Passenger Trips": 216653, "Passenger Paid Fares": 85678, - "Average Fare": 0.3954618675947252 + "Average Fare": 0.3954618675947252, + "Average Passengers": 3.0399541769474796 }, { "NTD ID": 40023, @@ -4560,7 +4925,8 @@ "All Fuels (Wh/pkm)": 3926.491338488534, "Unlinked Passenger Trips": 23386, "Passenger Paid Fares": 17917, - "Average Fare": 0.7661421363208757 + "Average Fare": 0.7661421363208757, + "Average Passengers": 0.7098472267331768 }, { "NTD ID": 40023, @@ -4572,7 +4938,8 @@ "All Fuels (Wh/pkm)": 1472.449684622037, "Unlinked Passenger Trips": 629349, "Passenger Paid Fares": 117816, - "Average Fare": 0.18720296687529495 + "Average Fare": 0.18720296687529495, + "Average Passengers": 3.9953233458436865 }, { "NTD ID": 40025, @@ -4584,7 +4951,8 @@ "All Fuels (Wh/pkm)": 2944.460780834778, "Unlinked Passenger Trips": 108214, "Passenger Paid Fares": 140742, - "Average Fare": 1.3005895725137229 + "Average Fare": 1.3005895725137229, + "Average Passengers": 0.8606969452572812 }, { "NTD ID": 40025, @@ -4594,7 +4962,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 3564.871574409787, "All Fuels (Wh/pkm)": 3564.871574409787, - "Unlinked Passenger Trips": 567259 + "Unlinked Passenger Trips": 567259, + "Average Passengers": 17.114569273521237 }, { "NTD ID": 40025, @@ -4606,7 +4975,8 @@ "All Fuels (Wh/pkm)": 1188.6970097972917, "Unlinked Passenger Trips": 2286234, "Passenger Paid Fares": 1540555, - "Average Fare": 0.6738395982213544 + "Average Fare": 0.6738395982213544, + "Average Passengers": 3.7748970723004804 }, { "NTD ID": 40026, @@ -4620,7 +4990,8 @@ "All Fuels (Wh/pkm)": 2436.352779145586, "Unlinked Passenger Trips": 66421, "Passenger Paid Fares": 60773, - "Average Fare": 0.9149666521130365 + "Average Fare": 0.9149666521130365, + "Average Passengers": 1.0 }, { "NTD ID": 40026, @@ -4632,7 +5003,8 @@ "All Fuels (Wh/pkm)": 1285.9587261461304, "Unlinked Passenger Trips": 1199589, "Passenger Paid Fares": 413435, - "Average Fare": 0.3446472083355216 + "Average Fare": 0.3446472083355216, + "Average Passengers": 3.858437244650532 }, { "NTD ID": 40027, @@ -4648,7 +5020,8 @@ "All Fuels (Wh/pkm)": 833.4807097555291, "Unlinked Passenger Trips": 10617835, "Passenger Paid Fares": 3866877, - "Average Fare": 0.3641869552502935 + "Average Fare": 0.3641869552502935, + "Average Passengers": 6.292396395919181 }, { "NTD ID": 40028, @@ -4661,7 +5034,8 @@ "All Fuels (Wh/pkm)": 4909.279972329542, "Unlinked Passenger Trips": 111547, "Passenger Paid Fares": 422525, - "Average Fare": 3.7878652048015633 + "Average Fare": 3.7878652048015633, + "Average Passengers": 0.7631105908629168 }, { "NTD ID": 40028, @@ -4675,7 +5049,8 @@ "All Fuels (Wh/pkm)": 1168.035960585868, "Unlinked Passenger Trips": 2216106, "Passenger Paid Fares": 1423668, - "Average Fare": 0.6424187290680139 + "Average Fare": 0.6424187290680139, + "Average Passengers": 4.104985028044576 }, { "NTD ID": 40028, @@ -4687,7 +5062,8 @@ "All Fuels (Wh/pkm)": 125.28641479567965, "Unlinked Passenger Trips": 45665, "Passenger Paid Fares": 117153, - "Average Fare": 2.5654877915252383 + "Average Fare": 2.5654877915252383, + "Average Passengers": 7.34935129668075 }, { "NTD ID": 40029, @@ -4700,7 +5076,8 @@ "All Fuels (Wh/pkm)": 5789.837950716213, "Unlinked Passenger Trips": 597311, "Passenger Paid Fares": 478461, - "Average Fare": 0.8010249267132198 + "Average Fare": 0.8010249267132198, + "Average Passengers": 0.7014219944148122 }, { "NTD ID": 40029, @@ -4712,7 +5089,8 @@ "All Fuels (Wh/pkm)": 1970.842421725636, "Unlinked Passenger Trips": 17861882, "Passenger Paid Fares": 13335901, - "Average Fare": 0.7466123110655417 + "Average Fare": 0.7466123110655417, + "Average Passengers": 4.929912216989605 }, { "NTD ID": 40030, @@ -4724,7 +5102,8 @@ "All Fuels (Wh/pkm)": 3637.524995969336, "Unlinked Passenger Trips": 41603, "Passenger Paid Fares": 76974, - "Average Fare": 1.8502031103526189 + "Average Fare": 1.8502031103526189, + "Average Passengers": 0.6996800414604518 }, { "NTD ID": 40030, @@ -4736,7 +5115,8 @@ "All Fuels (Wh/pkm)": 1448.8845037050337, "Unlinked Passenger Trips": 5573521, "Passenger Paid Fares": 343908, - "Average Fare": 0.061703903152064914 + "Average Fare": 0.061703903152064914, + "Average Passengers": 4.314166770756812 }, { "NTD ID": 40031, @@ -4748,7 +5128,8 @@ "All Fuels (Wh/pkm)": 2808.6474799838124, "Unlinked Passenger Trips": 80838, "Passenger Paid Fares": 83676, - "Average Fare": 1.0351072515401172 + "Average Fare": 1.0351072515401172, + "Average Passengers": 0.7973059730777731 }, { "NTD ID": 40031, @@ -4760,7 +5141,8 @@ "All Fuels (Wh/pkm)": 2404.190581788071, "Unlinked Passenger Trips": 774569, "Passenger Paid Fares": 401580, - "Average Fare": 0.5184560704081883 + "Average Fare": 0.5184560704081883, + "Average Passengers": 2.5831597197387355 }, { "NTD ID": 40032, @@ -4775,7 +5157,8 @@ "All Fuels (Wh/pkm)": 4902.658062914402, "Unlinked Passenger Trips": 225621, "Passenger Paid Fares": 269728, - "Average Fare": 1.1954915544209095 + "Average Fare": 1.1954915544209095, + "Average Passengers": 0.9079545315811863 }, { "NTD ID": 40032, @@ -4787,7 +5170,8 @@ "All Fuels (Wh/pkm)": 1773.0877571422848, "Unlinked Passenger Trips": 2451928, "Passenger Paid Fares": 1649580, - "Average Fare": 0.6727685315392622 + "Average Fare": 0.6727685315392622, + "Average Passengers": 3.0287997943565097 }, { "NTD ID": 40032, @@ -4795,7 +5179,8 @@ "UACE Code": "22612", "Unlinked Passenger Trips": 14155, "Passenger Paid Fares": 79518, - "Average Fare": 5.617661603673613 + "Average Fare": 5.617661603673613, + "Average Passengers": 3.897757821719483 }, { "NTD ID": 40034, @@ -4807,7 +5192,8 @@ "All Fuels (Wh/pkm)": 592.4009151466174, "Unlinked Passenger Trips": 266073, "Passenger Paid Fares": 106444, - "Average Fare": 0.4000556238325572 + "Average Fare": 0.4000556238325572, + "Average Passengers": 10.051358155222477 }, { "NTD ID": 40034, @@ -4819,7 +5205,8 @@ "All Fuels (Wh/pkm)": 1675.847040312716, "Unlinked Passenger Trips": 1163150, "Passenger Paid Fares": 3341167, - "Average Fare": 2.872516012552121 + "Average Fare": 2.872516012552121, + "Average Passengers": 1.050493678974806 }, { "NTD ID": 40034, @@ -4827,7 +5214,8 @@ "UACE Code": "56602", "Unlinked Passenger Trips": 11862059, "Passenger Paid Fares": 5027198, - "Average Fare": 0.4238048386034836 + "Average Fare": 0.4238048386034836, + "Average Passengers": 46.10462708127583 }, { "NTD ID": 40034, @@ -4843,7 +5231,8 @@ "All Fuels (Wh/pkm)": 906.9670787663991, "Unlinked Passenger Trips": 36966733, "Passenger Paid Fares": 24625850, - "Average Fare": 0.6661624655876407 + "Average Fare": 0.6661624655876407, + "Average Passengers": 5.391890213707353 }, { "NTD ID": 40034, @@ -4853,7 +5242,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 951.2259792359538, "All Fuels (Wh/pkm)": 951.2259792359538, - "Unlinked Passenger Trips": 5741996 + "Unlinked Passenger Trips": 5741996, + "Average Passengers": 6.501519452731821 }, { "NTD ID": 40034, @@ -4865,7 +5255,8 @@ "All Fuels (Wh/pkm)": 542.1611687099042, "Unlinked Passenger Trips": 397168, "Passenger Paid Fares": 1985766, - "Average Fare": 4.999813680860492 + "Average Fare": 4.999813680860492, + "Average Passengers": 4.186216087890934 }, { "NTD ID": 40035, @@ -4877,7 +5268,8 @@ "All Fuels (Wh/pkm)": 4157.007060764739, "Unlinked Passenger Trips": 500239, "Passenger Paid Fares": 1486060, - "Average Fare": 2.97070000539742 + "Average Fare": 2.97070000539742, + "Average Passengers": 0.6654118721119204 }, { "NTD ID": 40035, @@ -4893,7 +5285,8 @@ "All Fuels (Wh/pkm)": 739.1270617242483, "Unlinked Passenger Trips": 16296399, "Passenger Paid Fares": 10812197, - "Average Fare": 0.6634715436213853 + "Average Fare": 0.6634715436213853, + "Average Passengers": 5.184868237985924 }, { "NTD ID": 40035, @@ -4903,7 +5296,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1707.495722444947, "All Fuels (Wh/pkm)": 1707.495722444947, - "Unlinked Passenger Trips": 575497 + "Unlinked Passenger Trips": 575497, + "Average Passengers": 3.743622348698491 }, { "NTD ID": 40035, @@ -4915,7 +5309,8 @@ "All Fuels (Wh/pkm)": 207.15128811241948, "Unlinked Passenger Trips": 334032, "Passenger Paid Fares": 1128297, - "Average Fare": 3.3778111079178044 + "Average Fare": 3.3778111079178044, + "Average Passengers": 4.133309404507234 }, { "NTD ID": 40036, @@ -4927,7 +5322,8 @@ "All Fuels (Wh/pkm)": 3510.187146503284, "Unlinked Passenger Trips": 109362, "Passenger Paid Fares": 230544, - "Average Fare": 2.1080814176770724 + "Average Fare": 2.1080814176770724, + "Average Passengers": 0.9446915178164567 }, { "NTD ID": 40036, @@ -4939,7 +5335,8 @@ "Electric (Wh/pkm)": 233.43359115010867, "Unlinked Passenger Trips": 2046582, "Passenger Paid Fares": 619118, - "Average Fare": 0.3025131658540923 + "Average Fare": 0.3025131658540923, + "Average Passengers": 2.8138707471675035 }, { "NTD ID": 40037, @@ -4953,7 +5350,8 @@ "All Fuels (Wh/pkm)": 4952.950398965101, "Unlinked Passenger Trips": 763100, "Passenger Paid Fares": 2019287, - "Average Fare": 2.6461630192635304 + "Average Fare": 2.6461630192635304, + "Average Passengers": 0.86596672660935 }, { "NTD ID": 40037, @@ -4965,7 +5363,8 @@ "All Fuels (Wh/pkm)": 1147.0883705222047, "Unlinked Passenger Trips": 7651222, "Passenger Paid Fares": 4466331, - "Average Fare": 0.5837408717195763 + "Average Fare": 0.5837408717195763, + "Average Passengers": 5.1068816323286885 }, { "NTD ID": 40038, @@ -4977,7 +5376,8 @@ "All Fuels (Wh/pkm)": 4185.286742697404, "Unlinked Passenger Trips": 103377, "Passenger Paid Fares": 198090, - "Average Fare": 1.9161902550857541 + "Average Fare": 1.9161902550857541, + "Average Passengers": 0.758332705353716 }, { "NTD ID": 40038, @@ -4989,7 +5389,8 @@ "All Fuels (Wh/pkm)": 2067.9507834347564, "Unlinked Passenger Trips": 921987, "Passenger Paid Fares": 462966, - "Average Fare": 0.5021394010978463 + "Average Fare": 0.5021394010978463, + "Average Passengers": 3.4595466824477428 }, { "NTD ID": 40040, @@ -5001,7 +5402,8 @@ "All Fuels (Wh/pkm)": 3387.2047576448354, "Unlinked Passenger Trips": 296247, "Passenger Paid Fares": 900701, - "Average Fare": 3.04037171684439 + "Average Fare": 3.04037171684439, + "Average Passengers": 0.816190877295783 }, { "NTD ID": 40040, @@ -5009,7 +5411,8 @@ "UACE Code": "42346", "Unlinked Passenger Trips": 406504, "Passenger Paid Fares": 1442888, - "Average Fare": 3.5495050479208077 + "Average Fare": 3.5495050479208077, + "Average Passengers": 20.420517972761775 }, { "NTD ID": 40040, @@ -5023,7 +5426,8 @@ "All Fuels (Wh/pkm)": 845.4120601105991, "Unlinked Passenger Trips": 6936013, "Passenger Paid Fares": 7956266, - "Average Fare": 1.1470950241875268 + "Average Fare": 1.1470950241875268, + "Average Passengers": 4.893952424478475 }, { "NTD ID": 40040, @@ -5033,7 +5437,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1418.064753534145, "All Fuels (Wh/pkm)": 1418.064753534145, - "Unlinked Passenger Trips": 384149 + "Unlinked Passenger Trips": 384149, + "Average Passengers": 3.755170301973901 }, { "NTD ID": 40041, @@ -5047,7 +5452,8 @@ "All Fuels (Wh/pkm)": 2539.382705300562, "Unlinked Passenger Trips": 140509, "Passenger Paid Fares": 260980, - "Average Fare": 1.8573899180835391 + "Average Fare": 1.8573899180835391, + "Average Passengers": 0.8089703698988367 }, { "NTD ID": 40041, @@ -5061,7 +5467,8 @@ "All Fuels (Wh/pkm)": 596.2158688072498, "Unlinked Passenger Trips": 8306062, "Passenger Paid Fares": 3796118, - "Average Fare": 0.45702981749955635 + "Average Fare": 0.45702981749955635, + "Average Passengers": 6.805527801679572 }, { "NTD ID": 40041, @@ -5071,7 +5478,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 599.0747824102806, "All Fuels (Wh/pkm)": 599.0747824102806, - "Unlinked Passenger Trips": 580397 + "Unlinked Passenger Trips": 580397, + "Average Passengers": 6.6751966953432 }, { "NTD ID": 40042, @@ -5083,7 +5491,8 @@ "All Fuels (Wh/pkm)": 1052.8920178989038, "Unlinked Passenger Trips": 65636, "Passenger Paid Fares": 73552, - "Average Fare": 1.120604546285575 + "Average Fare": 1.120604546285575, + "Average Passengers": 1.0149137218949413 }, { "NTD ID": 40042, @@ -5097,7 +5506,8 @@ "All Fuels (Wh/pkm)": 388.40654688202306, "Unlinked Passenger Trips": 1999575, "Passenger Paid Fares": 870946, - "Average Fare": 0.4355655576810072 + "Average Fare": 0.4355655576810072, + "Average Passengers": 5.430572090871884 }, { "NTD ID": 40043, @@ -5109,7 +5519,8 @@ "All Fuels (Wh/pkm)": 4171.75687870895, "Unlinked Passenger Trips": 63323, "Passenger Paid Fares": 83209, - "Average Fare": 1.3140407119056268 + "Average Fare": 1.3140407119056268, + "Average Passengers": 0.8338635310510731 }, { "NTD ID": 40043, @@ -5123,7 +5534,8 @@ "All Fuels (Wh/pkm)": 1363.9462651374154, "Unlinked Passenger Trips": 634162, "Passenger Paid Fares": 334903, - "Average Fare": 0.528103229143342 + "Average Fare": 0.528103229143342, + "Average Passengers": 3.9874909735786295 }, { "NTD ID": 40044, @@ -5137,7 +5549,8 @@ "All Fuels (Wh/pkm)": 2035.5286600137106, "Unlinked Passenger Trips": 457082, "Passenger Paid Fares": 396138, - "Average Fare": 0.8666672500776665 + "Average Fare": 0.8666672500776665, + "Average Passengers": 1.5794547714613756 }, { "NTD ID": 40046, @@ -5151,7 +5564,8 @@ "All Fuels (Wh/pkm)": 2813.3796846285068, "Unlinked Passenger Trips": 153544, "Passenger Paid Fares": 226201, - "Average Fare": 1.4731998645339446 + "Average Fare": 1.4731998645339446, + "Average Passengers": 0.9917194895331759 }, { "NTD ID": 40046, @@ -5165,7 +5579,8 @@ "All Fuels (Wh/pkm)": 1371.3328553410768, "Unlinked Passenger Trips": 2003652, "Passenger Paid Fares": 752068, - "Average Fare": 0.3753486134318734 + "Average Fare": 0.3753486134318734, + "Average Passengers": 3.4423788591876305 }, { "NTD ID": 40047, @@ -5177,7 +5592,8 @@ "All Fuels (Wh/pkm)": 7159.1315447450625, "Unlinked Passenger Trips": 5398, "Passenger Paid Fares": 19157, - "Average Fare": 3.548907002593553 + "Average Fare": 3.548907002593553, + "Average Passengers": 0.5526056684717631 }, { "NTD ID": 40047, @@ -5189,13 +5605,15 @@ "All Fuels (Wh/pkm)": 1094.4684849972678, "Unlinked Passenger Trips": 1338285, "Passenger Paid Fares": 247243, - "Average Fare": 0.1847461489891914 + "Average Fare": 0.1847461489891914, + "Average Passengers": 5.1922910434121805 }, { "NTD ID": 40051, "Mode": "DR", "UACE Code": "25228", - "Unlinked Passenger Trips": 57602 + "Unlinked Passenger Trips": 57602, + "Average Passengers": 0.7918160423373328 }, { "NTD ID": 40051, @@ -5207,7 +5625,8 @@ "All Fuels (Wh/pkm)": 1109.761221598571, "Unlinked Passenger Trips": 4655723, "Passenger Paid Fares": 3507, - "Average Fare": 0.0007532664636620349 + "Average Fare": 0.0007532664636620349, + "Average Passengers": 4.808780269356805 }, { "NTD ID": 40053, @@ -5215,7 +5634,8 @@ "UACE Code": "35461", "Unlinked Passenger Trips": 7957, "Passenger Paid Fares": 21195, - "Average Fare": 2.663692346361694 + "Average Fare": 2.663692346361694, + "Average Passengers": 0.5063387318372955 }, { "NTD ID": 40053, @@ -5231,7 +5651,8 @@ "All Fuels (Wh/pkm)": 1321.4402826947667, "Unlinked Passenger Trips": 640185, "Passenger Paid Fares": 491811, - "Average Fare": 0.7682326202582066 + "Average Fare": 0.7682326202582066, + "Average Passengers": 3.949401671465365 }, { "NTD ID": 40057, @@ -5243,7 +5664,8 @@ "All Fuels (Wh/pkm)": 3819.1933252424437, "Unlinked Passenger Trips": 33558, "Passenger Paid Fares": 33546, - "Average Fare": 0.9996424101555516 + "Average Fare": 0.9996424101555516, + "Average Passengers": 0.8561762456858247 }, { "NTD ID": 40057, @@ -5257,7 +5679,8 @@ "All Fuels (Wh/pkm)": 1304.1479714441684, "Unlinked Passenger Trips": 378452, "Passenger Paid Fares": 246356, - "Average Fare": 0.6509570566412649 + "Average Fare": 0.6509570566412649, + "Average Passengers": 3.523940609815972 }, { "NTD ID": 40058, @@ -5271,7 +5694,8 @@ "All Fuels (Wh/pkm)": 3239.8716712460155, "Unlinked Passenger Trips": 15076, "Passenger Paid Fares": 11779, - "Average Fare": 0.7813080392677103 + "Average Fare": 0.7813080392677103, + "Average Passengers": 1.0027099951691392 }, { "NTD ID": 40058, @@ -5279,7 +5703,8 @@ "UACE Code": "76204", "Unlinked Passenger Trips": 78940, "Passenger Paid Fares": 56188, - "Average Fare": 0.7117810995692931 + "Average Fare": 0.7117810995692931, + "Average Passengers": 1.4231005590778962 }, { "NTD ID": 40063, @@ -5289,7 +5714,8 @@ "Gasoline (Wh/pkm)": 2839.2118982948937, "Unlinked Passenger Trips": 112270, "Passenger Paid Fares": 230979, - "Average Fare": 2.0573528101897214 + "Average Fare": 2.0573528101897214, + "Average Passengers": 1.9541915381961417 }, { "NTD ID": 40063, @@ -5301,7 +5727,8 @@ "All Fuels (Wh/pkm)": 307.4099955236062, "Unlinked Passenger Trips": 1610092, "Passenger Paid Fares": 441362, - "Average Fare": 0.274122224071668 + "Average Fare": 0.274122224071668, + "Average Passengers": 4.663298957414456 }, { "NTD ID": 40063, @@ -5313,7 +5740,8 @@ "All Fuels (Wh/pkm)": 80.89080321281149, "Unlinked Passenger Trips": 48649, "Passenger Paid Fares": 311360, - "Average Fare": 6.400131554605439 + "Average Fare": 6.400131554605439, + "Average Passengers": 5.484831185992731 }, { "NTD ID": 40068, @@ -5327,7 +5755,8 @@ "All Fuels (Wh/pkm)": 1786.1310637594122, "Unlinked Passenger Trips": 68817, "Passenger Paid Fares": 66680, - "Average Fare": 0.9689466265602976 + "Average Fare": 0.9689466265602976, + "Average Passengers": 1.7186585622355877 }, { "NTD ID": 40071, @@ -5339,7 +5768,8 @@ "All Fuels (Wh/pkm)": 2593.595386871371, "Unlinked Passenger Trips": 82227, "Passenger Paid Fares": 163989, - "Average Fare": 1.9943449232004087 + "Average Fare": 1.9943449232004087, + "Average Passengers": 0.9580701597752395 }, { "NTD ID": 40071, @@ -5351,7 +5781,8 @@ "All Fuels (Wh/pkm)": 1624.4557728843572, "Unlinked Passenger Trips": 557262, "Passenger Paid Fares": 189297, - "Average Fare": 0.3396912044962693 + "Average Fare": 0.3396912044962693, + "Average Passengers": 2.9434625533497445 }, { "NTD ID": 40074, @@ -5365,7 +5796,8 @@ "All Fuels (Wh/pkm)": 5894.095812254709, "Unlinked Passenger Trips": 44249, "Passenger Paid Fares": 28327, - "Average Fare": 0.640172659269136 + "Average Fare": 0.640172659269136, + "Average Passengers": 0.6155221000682349 }, { "NTD ID": 40074, @@ -5377,7 +5809,8 @@ "All Fuels (Wh/pkm)": 1793.8122898496226, "Unlinked Passenger Trips": 773412, "Passenger Paid Fares": 358653, - "Average Fare": 0.4637282586771346 + "Average Fare": 0.4637282586771346, + "Average Passengers": 2.678638860561844 }, { "NTD ID": 40077, @@ -5389,7 +5822,8 @@ "All Fuels (Wh/pkm)": 701.0907941871955, "Unlinked Passenger Trips": 3522017, "Passenger Paid Fares": 9544709, - "Average Fare": 2.71001218903827 + "Average Fare": 2.71001218903827, + "Average Passengers": 94.09023901404738 }, { "NTD ID": 40077, @@ -5399,7 +5833,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2128.3996128254375, "All Fuels (Wh/pkm)": 2128.3996128254375, - "Unlinked Passenger Trips": 742714 + "Unlinked Passenger Trips": 742714, + "Average Passengers": 2.228823439711926 }, { "NTD ID": 40078, @@ -5407,7 +5842,8 @@ "UACE Code": "03817", "Unlinked Passenger Trips": 59778, "Passenger Paid Fares": 296339, - "Average Fare": 4.957325437451906 + "Average Fare": 4.957325437451906, + "Average Passengers": 2.133277820733956 }, { "NTD ID": 40078, @@ -5419,7 +5855,8 @@ "All Fuels (Wh/pkm)": 4754.257743521066, "Unlinked Passenger Trips": 64167, "Passenger Paid Fares": 52088, - "Average Fare": 0.8117568220424829 + "Average Fare": 0.8117568220424829, + "Average Passengers": 0.7657312925170068 }, { "NTD ID": 40078, @@ -5433,7 +5870,8 @@ "All Fuels (Wh/pkm)": 1411.1092336044826, "Unlinked Passenger Trips": 1655758, "Passenger Paid Fares": 1721077, - "Average Fare": 1.0394496055583002 + "Average Fare": 1.0394496055583002, + "Average Passengers": 2.472256899277918 }, { "NTD ID": 40082, @@ -5445,7 +5883,8 @@ "All Fuels (Wh/pkm)": 2834.798894231838, "Unlinked Passenger Trips": 9848, "Passenger Paid Fares": 4432, - "Average Fare": 0.45004061738424045 + "Average Fare": 0.45004061738424045, + "Average Passengers": 1.2331011782664696 }, { "NTD ID": 40082, @@ -5453,7 +5892,8 @@ "UACE Code": "03817", "Unlinked Passenger Trips": 21120, "Passenger Paid Fares": 35870, - "Average Fare": 1.6983901515151516 + "Average Fare": 1.6983901515151516, + "Average Passengers": 0.3770935579586843 }, { "NTD ID": 40082, @@ -5465,7 +5905,8 @@ "All Fuels (Wh/pkm)": 345.1125519953971, "Unlinked Passenger Trips": 13576, "Passenger Paid Fares": 40384, - "Average Fare": 2.974661166764879 + "Average Fare": 2.974661166764879, + "Average Passengers": 3.928307766504053 }, { "NTD ID": 40086, @@ -5479,7 +5920,8 @@ "All Fuels (Wh/pkm)": 1081.659258302867, "Unlinked Passenger Trips": 64025, "Passenger Paid Fares": 66766, - "Average Fare": 1.0428114017961734 + "Average Fare": 1.0428114017961734, + "Average Passengers": 1.9900226671044638 }, { "NTD ID": 40086, @@ -5491,7 +5933,8 @@ "All Fuels (Wh/pkm)": 1352.0806347330865, "Unlinked Passenger Trips": 2001263, "Passenger Paid Fares": 1128050, - "Average Fare": 0.563669042999346 + "Average Fare": 0.563669042999346, + "Average Passengers": 9.592659101268408 }, { "NTD ID": 40087, @@ -5503,7 +5946,8 @@ "All Fuels (Wh/pkm)": 2970.4693370111972, "Unlinked Passenger Trips": 174862, "Passenger Paid Fares": 133281, - "Average Fare": 0.7622067687662271 + "Average Fare": 0.7622067687662271, + "Average Passengers": 1.082214391121222 }, { "NTD ID": 40087, @@ -5515,7 +5959,8 @@ "All Fuels (Wh/pkm)": 915.5815880446228, "Unlinked Passenger Trips": 5602299, "Passenger Paid Fares": 1714704, - "Average Fare": 0.30607148957954583 + "Average Fare": 0.30607148957954583, + "Average Passengers": 6.010061549458257 }, { "NTD ID": 40093, @@ -5529,7 +5974,8 @@ "All Fuels (Wh/pkm)": 5781.425146587418, "Unlinked Passenger Trips": 238977, "Passenger Paid Fares": 231308, - "Average Fare": 0.9679090456403754 + "Average Fare": 0.9679090456403754, + "Average Passengers": 0.7429700857190897 }, { "NTD ID": 40093, @@ -5543,7 +5989,8 @@ "All Fuels (Wh/pkm)": 1356.874515363137, "Unlinked Passenger Trips": 2534271, "Passenger Paid Fares": 2103901, - "Average Fare": 0.8301799610223216 + "Average Fare": 0.8301799610223216, + "Average Passengers": 4.37567235882225 }, { "NTD ID": 40094, @@ -5555,7 +6002,8 @@ "All Fuels (Wh/pkm)": 45.066509802934135, "Unlinked Passenger Trips": 3531150, "Passenger Paid Fares": 4887009, - "Average Fare": 1.3839709443099273 + "Average Fare": 1.3839709443099273, + "Average Passengers": 38.58421647867437 }, { "NTD ID": 40094, @@ -5567,7 +6015,8 @@ "All Fuels (Wh/pkm)": 901.0115221444818, "Unlinked Passenger Trips": 1032480, "Passenger Paid Fares": 464198, - "Average Fare": 0.4495951495428483 + "Average Fare": 0.4495951495428483, + "Average Passengers": 5.899505866825476 }, { "NTD ID": 40097, @@ -5577,7 +6026,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2129.0227596840637, "All Fuels (Wh/pkm)": 2233.0966707736775, - "Unlinked Passenger Trips": 68212 + "Unlinked Passenger Trips": 68212, + "Average Passengers": 1.4971130354938524 }, { "NTD ID": 40097, @@ -5587,7 +6037,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1229.9017851231863, "All Fuels (Wh/pkm)": 1229.9017851231863, - "Unlinked Passenger Trips": 694675 + "Unlinked Passenger Trips": 694675, + "Average Passengers": 4.512101112852806 }, { "NTD ID": 40100, @@ -5600,7 +6051,8 @@ "All Fuels (Wh/pkm)": 237.22350085387941, "Unlinked Passenger Trips": 8535, "Passenger Paid Fares": 8102, - "Average Fare": 0.9492677211482132 + "Average Fare": 0.9492677211482132, + "Average Passengers": 5.853624508018563 }, { "NTD ID": 40100, @@ -5612,7 +6064,8 @@ "All Fuels (Wh/pkm)": 1294.1137234244763, "Unlinked Passenger Trips": 19626, "Passenger Paid Fares": 10326, - "Average Fare": 0.5261387954753898 + "Average Fare": 0.5261387954753898, + "Average Passengers": 1.3074678609806027 }, { "NTD ID": 40100, @@ -5624,7 +6077,8 @@ "All Fuels (Wh/pkm)": 945.3472680353655, "Unlinked Passenger Trips": 115689, "Passenger Paid Fares": 33719, - "Average Fare": 0.2914624553760513 + "Average Fare": 0.2914624553760513, + "Average Passengers": 2.1863376046275547 }, { "NTD ID": 40104, @@ -5634,7 +6088,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 3785.432669433482, "All Fuels (Wh/pkm)": 3785.432669433482, - "Unlinked Passenger Trips": 28169 + "Unlinked Passenger Trips": 28169, + "Average Passengers": 0.6298306882984837 }, { "NTD ID": 40104, @@ -5646,7 +6101,8 @@ "Gasoline (Wh/pkm)": 725.9428814794005, "Diesel (Wh/pkm)": 696.0992151656889, "All Fuels (Wh/pkm)": 703.5569603139862, - "Unlinked Passenger Trips": 1078079 + "Unlinked Passenger Trips": 1078079, + "Average Passengers": 4.9039770683553074 }, { "NTD ID": 40108, @@ -5658,7 +6114,8 @@ "All Fuels (Wh/pkm)": 1733.1850277597705, "Unlinked Passenger Trips": 34868, "Passenger Paid Fares": 54028, - "Average Fare": 1.5495009751061144 + "Average Fare": 1.5495009751061144, + "Average Passengers": 1.4013270181420616 }, { "NTD ID": 40108, @@ -5670,7 +6127,8 @@ "All Fuels (Wh/pkm)": 1308.852358778766, "Unlinked Passenger Trips": 1352117, "Passenger Paid Fares": 1304725, - "Average Fare": 0.9649497787543534 + "Average Fare": 0.9649497787543534, + "Average Passengers": 4.6985416317393955 }, { "NTD ID": 40108, @@ -5682,7 +6140,8 @@ "All Fuels (Wh/pkm)": 471.30554294302806, "Unlinked Passenger Trips": 75504, "Passenger Paid Fares": 357799, - "Average Fare": 4.738808539944904 + "Average Fare": 4.738808539944904, + "Average Passengers": 5.1496777606972195 }, { "NTD ID": 40110, @@ -5694,7 +6153,8 @@ "All Fuels (Wh/pkm)": 2380.0715801460933, "Unlinked Passenger Trips": 81600, "Passenger Paid Fares": 201660, - "Average Fare": 2.4713235294117646 + "Average Fare": 2.4713235294117646, + "Average Passengers": 5.051117948380895 }, { "NTD ID": 40110, @@ -5706,7 +6166,8 @@ "All Fuels (Wh/pkm)": 2050.8919251365187, "Unlinked Passenger Trips": 60561, "Passenger Paid Fares": 172851, - "Average Fare": 2.854163570614752 + "Average Fare": 2.854163570614752, + "Average Passengers": 0.944874321681146 }, { "NTD ID": 40110, @@ -5720,7 +6181,8 @@ "All Fuels (Wh/pkm)": 922.1179003049767, "Unlinked Passenger Trips": 2079592, "Passenger Paid Fares": 2506341, - "Average Fare": 1.2052080408080046 + "Average Fare": 1.2052080408080046, + "Average Passengers": 3.927565629653166 }, { "NTD ID": 40128, @@ -5734,7 +6196,8 @@ "All Fuels (Wh/pkm)": 2818.5028610198738, "Unlinked Passenger Trips": 50440, "Passenger Paid Fares": 108274, - "Average Fare": 2.146590007930214 + "Average Fare": 2.146590007930214, + "Average Passengers": 0.7751773010365292 }, { "NTD ID": 40128, @@ -5742,7 +6205,8 @@ "UACE Code": "61372", "Unlinked Passenger Trips": 58476, "Passenger Paid Fares": 59579, - "Average Fare": 1.0188624392913332 + "Average Fare": 1.0188624392913332, + "Average Passengers": 0.9356401384083044 }, { "NTD ID": 40129, @@ -5756,7 +6220,8 @@ "All Fuels (Wh/pkm)": 2323.341467515531, "Unlinked Passenger Trips": 86149, "Passenger Paid Fares": 55532, - "Average Fare": 0.6446041161243892 + "Average Fare": 0.6446041161243892, + "Average Passengers": 1.184270214035559 }, { "NTD ID": 40138, @@ -5768,7 +6233,8 @@ "All Fuels (Wh/pkm)": 1358.6527424183187, "Unlinked Passenger Trips": 129111, "Passenger Paid Fares": 734211, - "Average Fare": 5.686664962706509 + "Average Fare": 5.686664962706509, + "Average Passengers": 4.312907710030848 }, { "NTD ID": 40138, @@ -5780,7 +6246,8 @@ "All Fuels (Wh/pkm)": 6151.303784260654, "Unlinked Passenger Trips": 19032, "Passenger Paid Fares": 12039, - "Average Fare": 0.6325662042875158 + "Average Fare": 0.6325662042875158, + "Average Passengers": 0.584191360851268 }, { "NTD ID": 40138, @@ -5792,7 +6259,8 @@ "All Fuels (Wh/pkm)": 1256.1738081045373, "Unlinked Passenger Trips": 779838, "Passenger Paid Fares": 388766, - "Average Fare": 0.4985214877961833 + "Average Fare": 0.4985214877961833, + "Average Passengers": 3.574298463279231 }, { "NTD ID": 40140, @@ -5806,7 +6274,8 @@ "All Fuels (Wh/pkm)": 3615.2379670992295, "Unlinked Passenger Trips": 80995, "Passenger Paid Fares": 145918, - "Average Fare": 1.8015679980245694 + "Average Fare": 1.8015679980245694, + "Average Passengers": 0.825572140473866 }, { "NTD ID": 40140, @@ -5818,7 +6287,8 @@ "All Fuels (Wh/pkm)": 1901.0928815956865, "Unlinked Passenger Trips": 642428, "Passenger Paid Fares": 578855, - "Average Fare": 0.9010426071092792 + "Average Fare": 0.9010426071092792, + "Average Passengers": 3.099802778670809 }, { "NTD ID": 40141, @@ -5831,7 +6301,8 @@ "All Fuels (Wh/pkm)": 2825.0908455763674, "Unlinked Passenger Trips": 87480, "Passenger Paid Fares": 368814, - "Average Fare": 4.215980795610426 + "Average Fare": 4.215980795610426, + "Average Passengers": 1.3209897449434453 }, { "NTD ID": 40141, @@ -5840,7 +6311,8 @@ "Other (%)": 45.56488537246183, "Unlinked Passenger Trips": 2350222, "Passenger Paid Fares": 1484877, - "Average Fare": 0.6318028679843861 + "Average Fare": 0.6318028679843861, + "Average Passengers": 2.4434001165878994 }, { "NTD ID": 40147, @@ -5852,7 +6324,8 @@ "All Fuels (Wh/pkm)": 1033.5151834150713, "Unlinked Passenger Trips": 2851446, "Passenger Paid Fares": 5924669, - "Average Fare": 2.077777029619358 + "Average Fare": 2.077777029619358, + "Average Passengers": 6.288249535104032 }, { "NTD ID": 40158, @@ -5864,7 +6337,8 @@ "All Fuels (Wh/pkm)": 3169.720713654586, "Unlinked Passenger Trips": 90856, "Passenger Paid Fares": 69468, - "Average Fare": 0.7645945232015497 + "Average Fare": 0.7645945232015497, + "Average Passengers": 1.0149227105815948 }, { "NTD ID": 40158, @@ -5878,7 +6352,8 @@ "All Fuels (Wh/pkm)": 2046.184808732185, "Unlinked Passenger Trips": 262108, "Passenger Paid Fares": 99633, - "Average Fare": 0.38012193446976056 + "Average Fare": 0.38012193446976056, + "Average Passengers": 2.632650394523895 }, { "NTD ID": 40159, @@ -5886,7 +6361,8 @@ "UACE Code": "61273", "Unlinked Passenger Trips": 214101, "Passenger Paid Fares": 772961, - "Average Fare": 3.61026338036721 + "Average Fare": 3.61026338036721, + "Average Passengers": 42.13636194792169 }, { "NTD ID": 40159, @@ -5898,7 +6374,8 @@ "All Fuels (Wh/pkm)": 167.12133979244862, "Unlinked Passenger Trips": 59467, "Passenger Paid Fares": 150637, - "Average Fare": 2.533119208973044 + "Average Fare": 2.533119208973044, + "Average Passengers": 8.800429762801334 }, { "NTD ID": 40169, @@ -5910,7 +6387,8 @@ "All Fuels (Wh/pkm)": 840.6614420258555, "Unlinked Passenger Trips": 63883, "Passenger Paid Fares": 329190, - "Average Fare": 5.153014103908708 + "Average Fare": 5.153014103908708, + "Average Passengers": 4.0819708952632565 }, { "NTD ID": 40171, @@ -5922,7 +6400,8 @@ "All Fuels (Wh/pkm)": 2211.095440012312, "Unlinked Passenger Trips": 125659, "Passenger Paid Fares": 50617, - "Average Fare": 0.40281237316865487 + "Average Fare": 0.40281237316865487, + "Average Passengers": 1.4233233577160598 }, { "NTD ID": 40172, @@ -5936,7 +6415,8 @@ "All Fuels (Wh/pkm)": 2036.1715133584435, "Unlinked Passenger Trips": 73166, "Passenger Paid Fares": 58387, - "Average Fare": 0.7980072711368669 + "Average Fare": 0.7980072711368669, + "Average Passengers": 1.348491418087645 }, { "NTD ID": 40172, @@ -5950,7 +6430,8 @@ "All Fuels (Wh/pkm)": 1851.474261212753, "Unlinked Passenger Trips": 128376, "Passenger Paid Fares": 63142, - "Average Fare": 0.49185205957499845 + "Average Fare": 0.49185205957499845, + "Average Passengers": 1.5190992708403768 }, { "NTD ID": 40173, @@ -5964,7 +6445,8 @@ "All Fuels (Wh/pkm)": 1188.0635627228357, "Unlinked Passenger Trips": 362350, "Passenger Paid Fares": 342679, - "Average Fare": 0.9457127087070512 + "Average Fare": 0.9457127087070512, + "Average Passengers": 3.0434980135849043 }, { "NTD ID": 40173, @@ -5976,7 +6458,8 @@ "All Fuels (Wh/pkm)": 166.99784351610845, "Unlinked Passenger Trips": 202617, "Passenger Paid Fares": 531535, - "Average Fare": 2.623348485072822 + "Average Fare": 2.623348485072822, + "Average Passengers": 7.376240823113082 }, { "NTD ID": 40175, @@ -5988,7 +6471,8 @@ "All Fuels (Wh/pkm)": 3604.217021698432, "Unlinked Passenger Trips": 1523721, "Passenger Paid Fares": 1468603, - "Average Fare": 0.9638267110579956 + "Average Fare": 0.9638267110579956, + "Average Passengers": 100.1187762226732 }, { "NTD ID": 40178, @@ -6000,7 +6484,8 @@ "All Fuels (Wh/pkm)": 165.5004518834585, "Unlinked Passenger Trips": 118269, "Passenger Paid Fares": 515989, - "Average Fare": 4.362842334001302 + "Average Fare": 4.362842334001302, + "Average Passengers": 7.332865492609231 }, { "NTD ID": 40180, @@ -6010,7 +6495,8 @@ "Electric (Wh/pkm)": 494.93159861953836, "Unlinked Passenger Trips": 9196, "Passenger Paid Fares": 10518, - "Average Fare": 1.1437581557198782 + "Average Fare": 1.1437581557198782, + "Average Passengers": 0.3413843035041993 }, { "NTD ID": 40180, @@ -6022,7 +6508,8 @@ "All Fuels (Wh/pkm)": 1022.3963007108972, "Unlinked Passenger Trips": 4345611, "Passenger Paid Fares": 6491490, - "Average Fare": 1.4938037481955933 + "Average Fare": 1.4938037481955933, + "Average Passengers": 9.209941885481916 }, { "NTD ID": 40185, @@ -6034,7 +6521,8 @@ "All Fuels (Wh/pkm)": 1919.889628736182, "Unlinked Passenger Trips": 42025, "Passenger Paid Fares": 25334, - "Average Fare": 0.6028316478286734 + "Average Fare": 0.6028316478286734, + "Average Passengers": 1.6957161662123363 }, { "NTD ID": 40185, @@ -6046,7 +6534,8 @@ "All Fuels (Wh/pkm)": 1204.2409102774286, "Unlinked Passenger Trips": 325847, "Passenger Paid Fares": 340100, - "Average Fare": 1.0437413878292572 + "Average Fare": 1.0437413878292572, + "Average Passengers": 3.51545389852471 }, { "NTD ID": 40191, @@ -6058,7 +6547,8 @@ "All Fuels (Wh/pkm)": 3266.5191710013264, "Unlinked Passenger Trips": 106760, "Passenger Paid Fares": 1615551, - "Average Fare": 15.132549644061447 + "Average Fare": 15.132549644061447, + "Average Passengers": 1.0651525480554314 }, { "NTD ID": 40191, @@ -6068,7 +6558,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 286.80645678172425, "All Fuels (Wh/pkm)": 286.80645678172425, - "Unlinked Passenger Trips": 23314 + "Unlinked Passenger Trips": 23314, + "Average Passengers": 12.245165332801687 }, { "NTD ID": 40191, @@ -6080,7 +6571,8 @@ "All Fuels (Wh/pkm)": 270.1138048479417, "Unlinked Passenger Trips": 25721, "Passenger Paid Fares": 169845, - "Average Fare": 6.6033591228956885 + "Average Fare": 6.6033591228956885, + "Average Passengers": 5.888266972916923 }, { "NTD ID": 40192, @@ -6088,7 +6580,8 @@ "UACE Code": "71479", "Unlinked Passenger Trips": 9765, "Passenger Paid Fares": 6783, - "Average Fare": 0.6946236559139785 + "Average Fare": 0.6946236559139785, + "Average Passengers": 1.1269915498472012 }, { "NTD ID": 40192, @@ -6098,7 +6591,8 @@ "Gasoline (Wh/pkm)": 3021.476332814577, "Unlinked Passenger Trips": 80275, "Passenger Paid Fares": 46523, - "Average Fare": 0.5795453129866085 + "Average Fare": 0.5795453129866085, + "Average Passengers": 1.1195782107750734 }, { "NTD ID": 40196, @@ -6112,7 +6606,8 @@ "All Fuels (Wh/pkm)": 325.9913151220413, "Unlinked Passenger Trips": 118788, "Passenger Paid Fares": 408478, - "Average Fare": 3.4387143482506652 + "Average Fare": 3.4387143482506652, + "Average Passengers": 4.560088534091995 }, { "NTD ID": 40200, @@ -6124,7 +6619,8 @@ "All Fuels (Wh/pkm)": 540.4943315237978, "Unlinked Passenger Trips": 251583, "Passenger Paid Fares": 1787683, - "Average Fare": 7.105738464045663 + "Average Fare": 7.105738464045663, + "Average Passengers": 3.4349608374203937 }, { "NTD ID": 40208, @@ -6136,7 +6632,8 @@ "Diesel (Wh/pkm)": 509.4807353577138, "Electric (Wh/pkm)": 159.0033292627762, "All Fuels (Wh/pkm)": 312.4972756267934, - "Unlinked Passenger Trips": 677679 + "Unlinked Passenger Trips": 677679, + "Average Passengers": 10.710158289761612 }, { "NTD ID": 40222, @@ -6148,7 +6645,8 @@ "All Fuels (Wh/pkm)": 1999.9026114750907, "Unlinked Passenger Trips": 180137, "Passenger Paid Fares": 76272, - "Average Fare": 0.42341107046303644 + "Average Fare": 0.42341107046303644, + "Average Passengers": 0.9272598719327323 }, { "NTD ID": 40224, @@ -6162,7 +6660,8 @@ "All Fuels (Wh/pkm)": 1375.7086793751093, "Unlinked Passenger Trips": 101284, "Passenger Paid Fares": 74607, - "Average Fare": 0.7366119031633822 + "Average Fare": 0.7366119031633822, + "Average Passengers": 0.9467959163639932 }, { "NTD ID": 40228, @@ -6174,7 +6673,8 @@ "All Fuels (Wh/pkm)": 461.5677794925959, "Unlinked Passenger Trips": 347222, "Passenger Paid Fares": 127971, - "Average Fare": 0.3685567158762982 + "Average Fare": 0.3685567158762982, + "Average Passengers": 9.264431995980981 }, { "NTD ID": 40232, @@ -6186,7 +6686,8 @@ "All Fuels (Wh/pkm)": 925.5396796845439, "Unlinked Passenger Trips": 1243563, "Passenger Paid Fares": 2673564, - "Average Fare": 2.1499224406001143 + "Average Fare": 2.1499224406001143, + "Average Passengers": 42.599532723735244 }, { "NTD ID": 40244, @@ -6195,7 +6696,8 @@ "Other (%)": 8.9486539071879, "Unlinked Passenger Trips": 91319, "Passenger Paid Fares": 99294, - "Average Fare": 1.0873312235131791 + "Average Fare": 1.0873312235131791, + "Average Passengers": 0.9077771492759499 }, { "NTD ID": 40264, @@ -6207,7 +6709,8 @@ "All Fuels (Wh/pkm)": 1064.1199351460948, "Unlinked Passenger Trips": 1362125, "Passenger Paid Fares": 6099323, - "Average Fare": 4.4777997614022205 + "Average Fare": 4.4777997614022205, + "Average Passengers": 7.757822946433511 }, { "NTD ID": 40264, @@ -6219,7 +6722,8 @@ "All Fuels (Wh/pkm)": 461.46553840183947, "Unlinked Passenger Trips": 544819, "Passenger Paid Fares": 3047573, - "Average Fare": 5.593734799997797 + "Average Fare": 5.593734799997797, + "Average Passengers": 5.31294578025638 }, { "NTD ID": 40265, @@ -6231,7 +6735,8 @@ "All Fuels (Wh/pkm)": 4639.9447298359655, "Unlinked Passenger Trips": 58022, "Passenger Paid Fares": 33707, - "Average Fare": 0.5809348178277205 + "Average Fare": 0.5809348178277205, + "Average Passengers": 0.6878778688821063 }, { "NTD ID": 40928, @@ -6243,7 +6748,8 @@ "All Fuels (Wh/pkm)": 1713.1472833466573, "Unlinked Passenger Trips": 61799, "Passenger Paid Fares": 152861, - "Average Fare": 2.473518988980404 + "Average Fare": 2.473518988980404, + "Average Passengers": 1.8812768255469212 }, { "NTD ID": 40950, @@ -6256,7 +6762,8 @@ "All Fuels (Wh/pkm)": 2988.1498604684207, "Unlinked Passenger Trips": 131072, "Passenger Paid Fares": 260872, - "Average Fare": 1.99029541015625 + "Average Fare": 1.99029541015625, + "Average Passengers": 0.7470468848516088 }, { "NTD ID": 41068, @@ -6268,7 +6775,8 @@ "All Fuels (Wh/pkm)": 2724.2975669537313, "Unlinked Passenger Trips": 65389, "Passenger Paid Fares": 46828, - "Average Fare": 0.7161449173408372 + "Average Fare": 0.7161449173408372, + "Average Passengers": 1.2707769655938643 }, { "NTD ID": 41105, @@ -6280,13 +6788,15 @@ "All Fuels (Wh/pkm)": 1761.00939191197, "Unlinked Passenger Trips": 123863, "Passenger Paid Fares": 176027, - "Average Fare": 1.4211427141277055 + "Average Fare": 1.4211427141277055, + "Average Passengers": 1.382383093353546 }, { "NTD ID": 44929, "Mode": "FB", "UACE Code": "56602", - "Unlinked Passenger Trips": 37582 + "Unlinked Passenger Trips": 37582, + "Average Passengers": 1.4954720087815587 }, { "NTD ID": 50001, @@ -6300,7 +6810,8 @@ "All Fuels (Wh/pkm)": 2024.3611826626845, "Unlinked Passenger Trips": 555807, "Passenger Paid Fares": 459451, - "Average Fare": 0.8266376637933671 + "Average Fare": 0.8266376637933671, + "Average Passengers": 2.3643861414489953 }, { "NTD ID": 50002, @@ -6312,7 +6823,8 @@ "All Fuels (Wh/pkm)": 2268.8526607300328, "Unlinked Passenger Trips": 526958, "Passenger Paid Fares": 367748, - "Average Fare": 0.6978696594415494 + "Average Fare": 0.6978696594415494, + "Average Passengers": 2.2327492382815097 }, { "NTD ID": 50003, @@ -6324,7 +6836,8 @@ "All Fuels (Wh/pkm)": 1681.9258477509968, "Unlinked Passenger Trips": 777818, "Passenger Paid Fares": 1354298, - "Average Fare": 1.7411502433731285 + "Average Fare": 1.7411502433731285, + "Average Passengers": 2.696925554522151 }, { "NTD ID": 50003, @@ -6332,7 +6845,8 @@ "UACE Code": "44506", "Unlinked Passenger Trips": 3845, "Passenger Paid Fares": 2825, - "Average Fare": 0.7347204161248374 + "Average Fare": 0.7347204161248374, + "Average Passengers": 1.400132421099095 }, { "NTD ID": 50004, @@ -6344,7 +6858,8 @@ "All Fuels (Wh/pkm)": 2023.0364020272646, "Unlinked Passenger Trips": 552719, "Passenger Paid Fares": 170186, - "Average Fare": 0.30790691110672874 + "Average Fare": 0.30790691110672874, + "Average Passengers": 1.9458188646364105 }, { "NTD ID": 50005, @@ -6356,7 +6871,8 @@ "All Fuels (Wh/pkm)": 1090.4804921520185, "Unlinked Passenger Trips": 4693426, "Passenger Paid Fares": 1752492, - "Average Fare": 0.3733929117024536 + "Average Fare": 0.3733929117024536, + "Average Passengers": 4.19292752261694 }, { "NTD ID": 50006, @@ -6368,7 +6884,8 @@ "All Fuels (Wh/pkm)": 2786.795302523259, "Unlinked Passenger Trips": 27058, "Passenger Paid Fares": 42614, - "Average Fare": 1.5749131495306379 + "Average Fare": 1.5749131495306379, + "Average Passengers": 1.1203410932374216 }, { "NTD ID": 50006, @@ -6380,7 +6897,8 @@ "All Fuels (Wh/pkm)": 2572.866772565796, "Unlinked Passenger Trips": 624708, "Passenger Paid Fares": 352559, - "Average Fare": 0.5643580680894114 + "Average Fare": 0.5643580680894114, + "Average Passengers": 2.015586144860569 }, { "NTD ID": 50008, @@ -6392,7 +6910,8 @@ "All Fuels (Wh/pkm)": 1357.3489570681033, "Unlinked Passenger Trips": 18040236, "Passenger Paid Fares": 11290291, - "Average Fare": 0.6258394291515921 + "Average Fare": 0.6258394291515921, + "Average Passengers": 3.4841743729579475 }, { "NTD ID": 50009, @@ -6404,7 +6923,8 @@ "All Fuels (Wh/pkm)": 2024.08125674875, "Unlinked Passenger Trips": 424372, "Passenger Paid Fares": 297527, - "Average Fare": 0.7010995070362795 + "Average Fare": 0.7010995070362795, + "Average Passengers": 2.255939815814408 }, { "NTD ID": 50010, @@ -6418,7 +6938,8 @@ "All Fuels (Wh/pkm)": 5002.481364624498, "Unlinked Passenger Trips": 171341, "Passenger Paid Fares": 344079, - "Average Fare": 2.0081533316602567 + "Average Fare": 2.0081533316602567, + "Average Passengers": 0.5851885252532945 }, { "NTD ID": 50010, @@ -6432,7 +6953,8 @@ "All Fuels (Wh/pkm)": 735.942516019131, "Unlinked Passenger Trips": 3128383, "Passenger Paid Fares": 1390603, - "Average Fare": 0.44451174936061216 + "Average Fare": 0.44451174936061216, + "Average Passengers": 3.6786851040961013 }, { "NTD ID": 50011, @@ -6442,7 +6964,8 @@ "CNG (Wh/pkm)": 1782.458435506402, "Unlinked Passenger Trips": 92110, "Passenger Paid Fares": 236310, - "Average Fare": 2.565519487569211 + "Average Fare": 2.565519487569211, + "Average Passengers": 0.6953825422422218 }, { "NTD ID": 50011, @@ -6456,7 +6979,8 @@ "All Fuels (Wh/pkm)": 345.50255920878925, "Unlinked Passenger Trips": 1242691, "Passenger Paid Fares": 844884, - "Average Fare": 0.6798826095948228 + "Average Fare": 0.6798826095948228, + "Average Passengers": 3.79221156020721 }, { "NTD ID": 50012, @@ -6468,7 +6992,8 @@ "All Fuels (Wh/pkm)": 1229.5718643783043, "Unlinked Passenger Trips": 7315465, "Passenger Paid Fares": 13877856, - "Average Fare": 1.8970572615684718 + "Average Fare": 1.8970572615684718, + "Average Passengers": 4.339567316477061 }, { "NTD ID": 50015, @@ -6481,7 +7006,8 @@ "All Fuels (Wh/pkm)": 2963.7481199008525, "Unlinked Passenger Trips": 326219, "Passenger Paid Fares": 1445187, - "Average Fare": 4.430112899616515 + "Average Fare": 4.430112899616515, + "Average Passengers": 0.8336081627796679 }, { "NTD ID": 50015, @@ -6489,7 +7015,8 @@ "UACE Code": "17668", "Unlinked Passenger Trips": 2638201, "Passenger Paid Fares": 3682948, - "Average Fare": 1.396007355011995 + "Average Fare": 1.396007355011995, + "Average Passengers": 14.82775063977757 }, { "NTD ID": 50015, @@ -6497,7 +7024,8 @@ "UACE Code": "17668", "Unlinked Passenger Trips": 589245, "Passenger Paid Fares": 1052721, - "Average Fare": 1.786559071354021 + "Average Fare": 1.786559071354021, + "Average Passengers": 3.6723329060839482 }, { "NTD ID": 50015, @@ -6511,7 +7039,8 @@ "All Fuels (Wh/pkm)": 770.7114174048454, "Unlinked Passenger Trips": 11846793, "Passenger Paid Fares": 18633518, - "Average Fare": 1.5728744479624148 + "Average Fare": 1.5728744479624148, + "Average Passengers": 3.9249564424362675 }, { "NTD ID": 50015, @@ -6523,7 +7052,8 @@ "All Fuels (Wh/pkm)": 1196.3150890073002, "Unlinked Passenger Trips": 1462001, "Passenger Paid Fares": 1380409, - "Average Fare": 0.9441915566405221 + "Average Fare": 0.9441915566405221, + "Average Passengers": 8.415414342678465 }, { "NTD ID": 50016, @@ -6537,7 +7067,8 @@ "All Fuels (Wh/pkm)": 3086.4739314493318, "Unlinked Passenger Trips": 169856, "Passenger Paid Fares": 200487, - "Average Fare": 1.1803351073850792 + "Average Fare": 1.1803351073850792, + "Average Passengers": 0.7335767291543714 }, { "NTD ID": 50016, @@ -6551,7 +7082,8 @@ "All Fuels (Wh/pkm)": 1053.8508050311423, "Unlinked Passenger Trips": 10322492, "Passenger Paid Fares": 4166012, - "Average Fare": 0.4035858782937298 + "Average Fare": 0.4035858782937298, + "Average Passengers": 3.1622339748943955 }, { "NTD ID": 50017, @@ -6563,7 +7095,8 @@ "All Fuels (Wh/pkm)": 4003.3543008272445, "Unlinked Passenger Trips": 149449, "Passenger Paid Fares": 519717, - "Average Fare": 3.4775542158194432 + "Average Fare": 3.4775542158194432, + "Average Passengers": 0.8127590619015749 }, { "NTD ID": 50017, @@ -6575,7 +7108,8 @@ "All Fuels (Wh/pkm)": 838.9539797824078, "Unlinked Passenger Trips": 4462605, "Passenger Paid Fares": 4904015, - "Average Fare": 1.0989130787959052 + "Average Fare": 1.0989130787959052, + "Average Passengers": 6.15165310167764 }, { "NTD ID": 50017, @@ -6587,7 +7121,8 @@ "All Fuels (Wh/pkm)": 561.0849270619655, "Unlinked Passenger Trips": 1449350, "Passenger Paid Fares": 969079, - "Average Fare": 0.6686300755511091 + "Average Fare": 0.6686300755511091, + "Average Passengers": 6.722470228952798 }, { "NTD ID": 50021, @@ -6601,7 +7136,8 @@ "All Fuels (Wh/pkm)": 5316.431767377176, "Unlinked Passenger Trips": 40670, "Passenger Paid Fares": 76666, - "Average Fare": 1.885074993852963 + "Average Fare": 1.885074993852963, + "Average Passengers": 0.6787242644055442 }, { "NTD ID": 50021, @@ -6615,7 +7151,8 @@ "All Fuels (Wh/pkm)": 2253.6413541130883, "Unlinked Passenger Trips": 397309, "Passenger Paid Fares": 94612, - "Average Fare": 0.23813203325371438 + "Average Fare": 0.23813203325371438, + "Average Passengers": 1.4342149276518965 }, { "NTD ID": 50022, @@ -6627,7 +7164,8 @@ "All Fuels (Wh/pkm)": 3087.294214482519, "Unlinked Passenger Trips": 165668, "Passenger Paid Fares": 197941, - "Average Fare": 1.1948052731969965 + "Average Fare": 1.1948052731969965, + "Average Passengers": 0.7555134765623682 }, { "NTD ID": 50022, @@ -6639,7 +7177,8 @@ "All Fuels (Wh/pkm)": 2051.3600673928536, "Unlinked Passenger Trips": 1001383, "Passenger Paid Fares": 1733052, - "Average Fare": 1.7306584992954743 + "Average Fare": 1.7306584992954743, + "Average Passengers": 2.7831502995594524 }, { "NTD ID": 50024, @@ -6653,7 +7192,8 @@ "All Fuels (Wh/pkm)": 3047.890743164235, "Unlinked Passenger Trips": 37722, "Passenger Paid Fares": 17826, - "Average Fare": 0.47256243041196117 + "Average Fare": 0.47256243041196117, + "Average Passengers": 0.7343811747364031 }, { "NTD ID": 50024, @@ -6667,7 +7207,8 @@ "All Fuels (Wh/pkm)": 1902.9493677543535, "Unlinked Passenger Trips": 884557, "Passenger Paid Fares": 120705, - "Average Fare": 0.13645813667180295 + "Average Fare": 0.13645813667180295, + "Average Passengers": 2.4586876384724783 }, { "NTD ID": 50025, 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"NTD ID": 50040, @@ -7008,7 +7575,8 @@ "All Fuels (Wh/pkm)": 1734.4126683032744, "Unlinked Passenger Trips": 62718, "Passenger Paid Fares": 637980, - "Average Fare": 10.172199368602316 + "Average Fare": 10.172199368602316, + "Average Passengers": 7.230883644323811 }, { "NTD ID": 50040, @@ -7018,7 +7586,8 @@ "Diesel (Wh/pkm)": 2366.1938590928266, "Unlinked Passenger Trips": 133417, "Passenger Paid Fares": 402374, - "Average Fare": 3.015912514896902 + "Average Fare": 3.015912514896902, + "Average Passengers": 1.047266382977202 }, { "NTD ID": 50040, @@ -7030,7 +7599,8 @@ "All Fuels (Wh/pkm)": 1215.552071599366, "Unlinked Passenger Trips": 3546585, "Passenger Paid Fares": 1045008, - "Average Fare": 0.29465189752959536 + "Average Fare": 0.29465189752959536, + "Average Passengers": 4.732033054442391 }, { "NTD ID": 50040, @@ -7038,7 +7608,8 @@ "UACE Code": "02602", "Unlinked Passenger Trips": 193599, "Passenger Paid Fares": 965136, - "Average Fare": 4.985232361737405 + "Average Fare": 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+8068,8 @@ "All Fuels (Wh/pkm)": 1254.6296828257562, "Unlinked Passenger Trips": 121449922, "Passenger Paid Fares": 115109713, - "Average Fare": 0.9477956931088025 + "Average Fare": 0.9477956931088025, + "Average Passengers": 5.577629556819796 }, { "NTD ID": 50092, @@ -7472,7 +8077,8 @@ "UACE Code": "75637", "Unlinked Passenger Trips": 17798, "Passenger Paid Fares": 24562, - "Average Fare": 1.3800427014271266 + "Average Fare": 1.3800427014271266, + "Average Passengers": 0.6933991025245778 }, { "NTD ID": 50092, @@ -7484,7 +8090,8 @@ "All Fuels (Wh/pkm)": 1686.56176911343, "Unlinked Passenger Trips": 876908, "Passenger Paid Fares": 375784, - "Average Fare": 0.4285329817951256 + "Average Fare": 0.4285329817951256, + "Average Passengers": 2.2422362887123497 }, { "NTD ID": 50096, @@ -7496,7 +8103,8 @@ "All Fuels (Wh/pkm)": 6206.431792503944, "Unlinked Passenger Trips": 8192, "Passenger Paid Fares": 33579, - "Average Fare": 4.0989990234375 + "Average Fare": 4.0989990234375, + "Average Passengers": 0.8487900195400572 }, { "NTD ID": 50096, @@ -7508,7 +8116,8 @@ "All Fuels (Wh/pkm)": 2871.833939145718, "Unlinked Passenger Trips": 448117, "Passenger Paid Fares": 303776, - "Average Fare": 0.6778943891885378 + "Average Fare": 0.6778943891885378, + "Average Passengers": 1.9131535704272542 }, { "NTD ID": 50099, @@ -7520,7 +8129,8 @@ "All Fuels (Wh/pkm)": 3098.0293344349293, "Unlinked Passenger Trips": 432693, "Passenger Paid Fares": 169160, - "Average Fare": 0.3909469300404675 + "Average Fare": 0.3909469300404675, + "Average Passengers": 1.6099220687109217 }, { "NTD ID": 50104, @@ -7532,7 +8142,8 @@ "All Fuels (Wh/pkm)": 72.41972569433085, "Unlinked Passenger Trips": 995049, "Passenger Paid Fares": 6328707, - "Average Fare": 6.36019633203993 + "Average Fare": 6.36019633203993, + "Average Passengers": 44.38574292275896 }, { "NTD ID": 50110, @@ -7544,7 +8155,8 @@ "All Fuels (Wh/pkm)": 4009.089090584444, "Unlinked Passenger Trips": 18197, "Passenger Paid Fares": 8162, - "Average Fare": 0.44853547288014506 + "Average Fare": 0.44853547288014506, + "Average Passengers": 0.9527078728107465 }, { "NTD ID": 50110, @@ -7558,7 +8170,8 @@ "All Fuels (Wh/pkm)": 1542.66629620738, "Unlinked Passenger Trips": 1365698, "Passenger Paid Fares": 97481, - "Average Fare": 0.0713781524172987 + "Average Fare": 0.0713781524172987, + "Average Passengers": 3.293706365986515 }, { "NTD ID": 50113, @@ -7572,7 +8185,8 @@ "All Fuels (Wh/pkm)": 1036.320795767548, "Unlinked Passenger Trips": 518822, "Passenger Paid Fares": 947869, - "Average Fare": 1.8269637756301775 + "Average Fare": 1.8269637756301775, + "Average Passengers": 1.0135092034296098 }, { "NTD ID": 50113, @@ -7588,7 +8202,8 @@ "All Fuels (Wh/pkm)": 1345.1010837040276, "Unlinked Passenger Trips": 13594308, "Passenger Paid Fares": 14109950, - "Average Fare": 1.037930728066482 + "Average Fare": 1.037930728066482, + "Average Passengers": 3.1749128847929184 }, { "NTD ID": 50113, @@ -7600,7 +8215,8 @@ "All Fuels (Wh/pkm)": 299.2430798893958, "Unlinked Passenger Trips": 452362, "Passenger Paid Fares": 846734, - "Average Fare": 1.8718062083022005 + "Average Fare": 1.8718062083022005, + "Average Passengers": 4.249231512657438 }, { "NTD ID": 50117, @@ -7612,7 +8228,8 @@ "All Fuels (Wh/pkm)": 1845.9385122242932, "Unlinked Passenger Trips": 43815, "Passenger Paid Fares": 145314, - "Average Fare": 3.3165354330708663 + "Average Fare": 3.3165354330708663, + "Average Passengers": 1.9454465714725098 }, { "NTD ID": 50117, @@ -7627,7 +8244,8 @@ "All Fuels (Wh/pkm)": 3901.747419155265, "Unlinked Passenger Trips": 158796, "Passenger Paid Fares": 225341, - "Average Fare": 1.4190596740472052 + "Average Fare": 1.4190596740472052, + "Average Passengers": 0.7041335043425807 }, { "NTD ID": 50117, @@ -7641,7 +8259,8 @@ "All Fuels (Wh/pkm)": 1946.2424729462746, "Unlinked Passenger Trips": 221543, "Passenger Paid Fares": 160535, - "Average Fare": 0.7246223080846608 + "Average Fare": 0.7246223080846608, + "Average Passengers": 1.8675004700549858 }, { "NTD ID": 50118, @@ -7655,7 +8274,8 @@ "All Fuels (Wh/pkm)": 710.6442837271592, "Unlinked Passenger Trips": 16731031, "Passenger Paid Fares": 102350491, - "Average Fare": 6.1174048987178375 + "Average Fare": 6.1174048987178375, + "Average Passengers": 72.74282888269522 }, { "NTD ID": 50119, @@ -7667,7 +8287,8 @@ "All Fuels (Wh/pkm)": 744.2712099253216, "Unlinked Passenger Trips": 18356196, "Passenger Paid Fares": 13234845, - "Average Fare": 0.7210015081556114 + "Average Fare": 0.7210015081556114, + "Average Passengers": 6.678252624217734 }, { "NTD ID": 50141, @@ -7679,7 +8300,8 @@ "All Fuels (Wh/pkm)": 675.3899512970728, "Unlinked Passenger Trips": 998823, "Passenger Paid Fares": 606863, - "Average Fare": 0.6075781194465887 + "Average Fare": 0.6075781194465887, + "Average Passengers": 9.675326225054926 }, { "NTD ID": 50145, @@ -7693,7 +8315,8 @@ "All Fuels (Wh/pkm)": 5220.006170435064, "Unlinked Passenger Trips": 71786, "Passenger Paid Fares": 1396, - "Average Fare": 0.019446688769397934 + "Average Fare": 0.019446688769397934, + "Average Passengers": 0.6686302941658576 }, { "NTD ID": 50145, @@ -7703,7 +8326,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 682.0625793025481, "All Fuels (Wh/pkm)": 682.0625793025481, - "Unlinked Passenger Trips": 196576 + "Unlinked Passenger Trips": 196576, + "Average Passengers": 4.941236787212601 }, { "NTD ID": 50146, @@ -7713,7 +8337,8 @@ "Gasoline (Wh/pkm)": 1244.8213921229055, "Unlinked Passenger Trips": 1747383, "Passenger Paid Fares": 1880876, - "Average Fare": 1.076395958985523 + "Average Fare": 1.076395958985523, + "Average Passengers": 2.764952436534818 }, { "NTD ID": 50146, @@ -7725,7 +8350,8 @@ "All Fuels (Wh/pkm)": 303.0611661852014, "Unlinked Passenger Trips": 64216, "Passenger Paid Fares": 450146, - "Average Fare": 7.0098729288650805 + "Average Fare": 7.0098729288650805, + "Average Passengers": 4.122259743267229 }, { "NTD ID": 50148, @@ -7737,7 +8363,8 @@ "All Fuels (Wh/pkm)": 127.45572065289217, "Unlinked Passenger Trips": 8401, "Passenger Paid Fares": 2736, - "Average Fare": 0.32567551481966434 + "Average Fare": 0.32567551481966434, + "Average Passengers": 3.057934831316817 }, { "NTD ID": 50148, @@ -7749,7 +8376,8 @@ "All Fuels (Wh/pkm)": 3513.9551535393957, "Unlinked Passenger Trips": 359685, "Passenger Paid Fares": 64282, - "Average Fare": 0.1787174889139108 + "Average Fare": 0.1787174889139108, + "Average Passengers": 1.5299738840508292 }, { "NTD ID": 50148, @@ -7761,7 +8389,8 @@ "All Fuels (Wh/pkm)": 109.34541831110185, "Unlinked Passenger Trips": 512897, "Passenger Paid Fares": 167056, - "Average Fare": 0.32571062026098807 + "Average Fare": 0.32571062026098807, + "Average Passengers": 5.540386114335607 }, { "NTD ID": 50149, @@ -7773,7 +8402,8 @@ "All Fuels (Wh/pkm)": 2218.4592087999595, "Unlinked Passenger Trips": 28844, "Passenger Paid Fares": 19332, - "Average Fare": 0.6702260435445847 + "Average Fare": 0.6702260435445847, + "Average Passengers": 0.6153969270166453 }, { "NTD ID": 50149, @@ -7785,7 +8415,8 @@ "All Fuels (Wh/pkm)": 1303.4047465968804, "Unlinked Passenger Trips": 387795, "Passenger Paid Fares": 61106, - "Average Fare": 0.15757294446808237 + "Average Fare": 0.15757294446808237, + "Average Passengers": 3.117489567644758 }, { "NTD ID": 50154, @@ -7799,7 +8430,8 @@ "All Fuels (Wh/pkm)": 5554.04752666401, "Unlinked Passenger Trips": 1527951, "Passenger Paid Fares": 3737227, - "Average Fare": 2.4459076240010313 + "Average Fare": 2.4459076240010313, + "Average Passengers": 0.595339471847846 }, { "NTD ID": 50154, @@ -7809,7 +8441,8 @@ "Gasoline (Wh/pkm)": 1177.8653278230706, "Unlinked Passenger Trips": 1058928, "Passenger Paid Fares": 406290, - "Average Fare": 0.38368047685961654 + "Average Fare": 0.38368047685961654, + "Average Passengers": 1.2829370374336815 }, { "NTD ID": 50154, @@ -7821,7 +8454,8 @@ "All Fuels (Wh/pkm)": 469.0134208166706, "Unlinked Passenger Trips": 57908, "Passenger Paid Fares": 398544, - "Average Fare": 6.882365130897285 + "Average Fare": 6.882365130897285, + "Average Passengers": 2.7996001490061344 }, { "NTD ID": 50157, @@ -7835,7 +8469,8 @@ "All Fuels (Wh/pkm)": 664.3760910171983, "Unlinked Passenger Trips": 2665, "Passenger Paid Fares": 632, - "Average Fare": 0.2371482176360225 + "Average Fare": 0.2371482176360225, + "Average Passengers": 0.42518989577813104 }, { "NTD ID": 50157, @@ -7843,7 +8478,8 @@ "UACE Code": "16885", "Unlinked Passenger Trips": 34609, "Passenger Paid Fares": 82242, - "Average Fare": 2.3763182987084286 + "Average Fare": 2.3763182987084286, + "Average Passengers": 0.7723452752932373 }, { "NTD ID": 50157, @@ -7851,7 +8487,8 @@ "UACE Code": "16885", "Unlinked Passenger Trips": 186122, "Passenger Paid Fares": 99600, - "Average Fare": 0.5351328698380632 + "Average Fare": 0.5351328698380632, + "Average Passengers": 0.8860927641046455 }, { "NTD ID": 50158, @@ -7861,7 +8498,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 529.9842900642947, "All Fuels (Wh/pkm)": 529.9842900642947, - "Unlinked Passenger Trips": 5718494 + "Unlinked Passenger Trips": 5718494, + "Average Passengers": 9.441017558751309 }, { "NTD ID": 50159, @@ -7873,7 +8511,8 @@ "All Fuels (Wh/pkm)": 596.8220731509552, "Unlinked Passenger Trips": 19413, "Passenger Paid Fares": 33376, - "Average Fare": 1.719260289496729 + "Average Fare": 1.719260289496729, + "Average Passengers": 3.444810649390854 }, { "NTD ID": 50159, @@ -7885,7 +8524,8 @@ "All Fuels (Wh/pkm)": 793.9996037084762, "Unlinked Passenger Trips": 14815, "Passenger Paid Fares": 7765, - "Average Fare": 0.5241309483631454 + "Average Fare": 0.5241309483631454, + "Average Passengers": 1.315298172169188 }, { "NTD ID": 50159, @@ -7899,7 +8539,8 @@ "All Fuels (Wh/pkm)": 1501.572301705369, "Unlinked Passenger Trips": 573575, "Passenger Paid Fares": 206560, - "Average Fare": 0.36012727193479493 + "Average Fare": 0.36012727193479493, + "Average Passengers": 4.425130928930603 }, { "NTD ID": 50160, @@ -7911,7 +8552,8 @@ "All Fuels (Wh/pkm)": 3664.252992648013, "Unlinked Passenger Trips": 61131, "Passenger Paid Fares": 189546, - "Average Fare": 3.1006526966678116 + "Average Fare": 3.1006526966678116, + "Average Passengers": 0.6293701728689224 }, { "NTD ID": 50161, @@ -7923,7 +8565,8 @@ "All Fuels (Wh/pkm)": 2385.2579764336265, "Unlinked Passenger Trips": 66467, "Passenger Paid Fares": 201055, - "Average Fare": 3.0248845291648485 + "Average Fare": 3.0248845291648485, + "Average Passengers": 0.5940476793911439 }, { "NTD ID": 50163, @@ -7935,7 +8578,8 @@ "All Fuels (Wh/pkm)": 3242.619119053302, "Unlinked Passenger Trips": 58559, "Passenger Paid Fares": 70938, - "Average Fare": 1.2113936371864273 + "Average Fare": 1.2113936371864273, + "Average Passengers": 0.6938173000060457 }, { "NTD ID": 50165, @@ -7947,7 +8591,8 @@ "All Fuels (Wh/pkm)": 3098.344515706844, "Unlinked Passenger Trips": 84820, "Passenger Paid Fares": 73255, - "Average Fare": 0.8636524404621552 + "Average Fare": 0.8636524404621552, + "Average Passengers": 0.8538222272675673 }, { "NTD ID": 50169, @@ -7959,7 +8604,8 @@ "All Fuels (Wh/pkm)": 4050.175022452718, "Unlinked Passenger Trips": 33010, "Passenger Paid Fares": 76286, - "Average Fare": 2.3109966676764615 + "Average Fare": 2.3109966676764615, + "Average Passengers": 0.633980078774975 }, { "NTD ID": 50176, @@ -7973,7 +8619,8 @@ "All Fuels (Wh/pkm)": 1915.1732346342144, "Unlinked Passenger Trips": 854380, "Passenger Paid Fares": 43113, - "Average Fare": 0.05046115311688008 + "Average Fare": 0.05046115311688008, + "Average Passengers": 2.885461037531066 }, { "NTD ID": 50182, @@ -7987,7 +8634,8 @@ "All Fuels (Wh/pkm)": 4553.259533488949, "Unlinked Passenger Trips": 2150973, "Passenger Paid Fares": 4542350, - "Average Fare": 2.111765233687266 + "Average Fare": 2.111765233687266, + "Average Passengers": 0.691929813890021 }, { "NTD ID": 50184, @@ -7995,7 +8643,8 @@ "UACE Code": "39430", "Unlinked Passenger Trips": 62638, "Passenger Paid Fares": 71549, - "Average Fare": 1.14226188575625 + "Average Fare": 1.14226188575625, + "Average Passengers": 0.8337923151492936 }, { "NTD ID": 50184, @@ -8009,7 +8658,8 @@ "All Fuels (Wh/pkm)": 235.9133528462358, "Unlinked Passenger Trips": 157807, "Passenger Paid Fares": 48290, - "Average Fare": 0.30600670439207384 + "Average Fare": 0.30600670439207384, + "Average Passengers": 2.7195388121263018 }, { "NTD ID": 50191, @@ -8021,7 +8671,8 @@ "All Fuels (Wh/pkm)": 364.3908402026666, "Unlinked Passenger Trips": 35841, "Passenger Paid Fares": 275401, - "Average Fare": 7.68396529114701 + "Average Fare": 7.68396529114701, + "Average Passengers": 4.158476043576635 }, { "NTD ID": 50193, @@ -8033,7 +8684,8 @@ "All Fuels (Wh/pkm)": 464.69245951400364, "Unlinked Passenger Trips": 305108, "Passenger Paid Fares": 3174220, - "Average Fare": 10.403594792663581 + "Average Fare": 10.403594792663581, + "Average Passengers": 3.619155889060458 }, { "NTD ID": 50198, @@ -8047,7 +8699,8 @@ "All Fuels (Wh/pkm)": 2318.0065605985187, "Unlinked Passenger Trips": 25438, "Passenger Paid Fares": 24379, - "Average Fare": 0.9583693686610583 + "Average Fare": 0.9583693686610583, + "Average Passengers": 1.2873738823269676 }, { "NTD ID": 50198, @@ -8059,7 +8712,8 @@ "All Fuels (Wh/pkm)": 2111.107481994698, "Unlinked Passenger Trips": 35158, "Passenger Paid Fares": 7738, - "Average Fare": 0.22009215541270835 + "Average Fare": 0.22009215541270835, + "Average Passengers": 1.424321908984343 }, { "NTD ID": 50199, @@ -8073,7 +8727,8 @@ "All Fuels (Wh/pkm)": 178.94206520668456, "Unlinked Passenger Trips": 11776, "Passenger Paid Fares": 7375, - "Average Fare": 0.6262737771739131 + "Average Fare": 0.6262737771739131, + "Average Passengers": 1.169927274273806 }, { "NTD ID": 50209, @@ -8085,7 +8740,8 @@ "All Fuels (Wh/pkm)": 620.5426649188274, "Unlinked Passenger Trips": 36658, "Passenger Paid Fares": 162947, - "Average Fare": 4.44505974139342 + "Average Fare": 4.44505974139342, + "Average Passengers": 6.655003313452617 }, { "NTD ID": 50213, @@ -8097,7 +8753,8 @@ "All Fuels (Wh/pkm)": 1631.1328260017992, "Unlinked Passenger Trips": 446118, "Passenger Paid Fares": 165518, - "Average Fare": 0.37101843010145297 + "Average Fare": 0.37101843010145297, + "Average Passengers": 8.040866597774627 }, { "NTD ID": 50342, @@ -8109,7 +8766,8 @@ "All Fuels (Wh/pkm)": 3565.026069657943, "Unlinked Passenger Trips": 31984, "Passenger Paid Fares": 41477, - "Average Fare": 1.2968046523261632 + "Average Fare": 1.2968046523261632, + "Average Passengers": 0.5211726833754886 }, { "NTD ID": 50515, @@ -8119,7 +8777,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2172.940490645963, "All Fuels (Wh/pkm)": 2172.940490645963, - "Unlinked Passenger Trips": 6867 + "Unlinked Passenger Trips": 6867, + "Average Passengers": 1.045539160045403 }, { "NTD ID": 50515, @@ -8131,7 +8790,8 @@ "Gasoline (Wh/pkm)": 420.2405593415863, "Diesel (Wh/pkm)": 498.25890570056373, "All Fuels (Wh/pkm)": 490.437385565567, - "Unlinked Passenger Trips": 3105907 + "Unlinked Passenger Trips": 3105907, + "Average Passengers": 13.812292805100183 }, { "NTD ID": 50516, @@ -8143,7 +8803,8 @@ "All Fuels (Wh/pkm)": 7009.8312213208055, "Unlinked Passenger Trips": 25860, "Passenger Paid Fares": 46113, - "Average Fare": 1.7831786542923433 + "Average Fare": 1.7831786542923433, + "Average Passengers": 0.6560657342955064 }, { "NTD ID": 50516, @@ -8157,7 +8818,8 @@ "All Fuels (Wh/pkm)": 1018.785177681618, "Unlinked Passenger Trips": 121975, "Passenger Paid Fares": 257550, - "Average Fare": 2.1114982578397212 + "Average Fare": 2.1114982578397212, + "Average Passengers": 2.7093519626384652 }, { "NTD ID": 50517, @@ -8169,7 +8831,8 @@ "All Fuels (Wh/pkm)": 4526.298673895154, "Unlinked Passenger Trips": 19850, "Passenger Paid Fares": 21087, - "Average Fare": 1.062317380352645 + "Average Fare": 1.062317380352645, + "Average Passengers": 0.6313210069057696 }, { "NTD ID": 50517, @@ -8177,7 +8840,8 @@ "UACE Code": "57628", "Unlinked Passenger Trips": 1218, "Passenger Paid Fares": 623247, - "Average Fare": 511.6970443349754 + "Average Fare": 511.6970443349754, + "Average Passengers": 0.8612236628849271 }, { "NTD ID": 50518, @@ -8191,7 +8855,8 @@ "All Fuels (Wh/pkm)": 3349.8000192240183, "Unlinked Passenger Trips": 51999, "Passenger Paid Fares": 129535, - "Average Fare": 2.4911055981845807 + "Average Fare": 2.4911055981845807, + "Average Passengers": 0.6908325353526688 }, { "NTD ID": 50518, @@ -8203,7 +8868,8 @@ "All Fuels (Wh/pkm)": 657.1342894723405, "Unlinked Passenger Trips": 197679, "Passenger Paid Fares": 543507, - "Average Fare": 2.7494422776319185 + "Average Fare": 2.7494422776319185, + "Average Passengers": 7.028080749844947 }, { "NTD ID": 50519, @@ -8217,7 +8883,8 @@ "All Fuels (Wh/pkm)": 1290.1174941264132, "Unlinked Passenger Trips": 782103, "Passenger Paid Fares": 1327626, - "Average Fare": 1.6975078730039395 + "Average Fare": 1.6975078730039395, + "Average Passengers": 2.8330511917884214 }, { "NTD ID": 50521, @@ -8229,7 +8896,8 @@ "All Fuels (Wh/pkm)": 1967.444209439475, "Unlinked Passenger Trips": 14924, "Passenger Paid Fares": 24023, - "Average Fare": 1.6096890913964084 + "Average Fare": 1.6096890913964084, + "Average Passengers": 18.220164609053498 }, { "NTD ID": 50522, @@ -8241,7 +8909,8 @@ "All Fuels (Wh/pkm)": 713.7207445978177, "Unlinked Passenger Trips": 101811, "Passenger Paid Fares": 87246, - "Average Fare": 0.856940802074432 + "Average Fare": 0.856940802074432, + "Average Passengers": 1.4293381085095023 }, { "NTD ID": 50522, @@ -8253,7 +8922,8 @@ "All Fuels (Wh/pkm)": 2974.0323820324516, "Unlinked Passenger Trips": 212234, "Passenger Paid Fares": 124573, - "Average Fare": 0.5869606189394725 + "Average Fare": 0.5869606189394725, + "Average Passengers": 2.9222625123108603 }, { "NTD ID": 55312, @@ -8263,7 +8933,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1399.0336101292694, "All Fuels (Wh/pkm)": 1399.0336101292694, - "Unlinked Passenger Trips": 261303 + "Unlinked Passenger Trips": 261303, + "Average Passengers": 4.8835689422462165 }, { "NTD ID": 60006, @@ -8275,7 +8946,8 @@ "All Fuels (Wh/pkm)": 1049.4879938007007, "Unlinked Passenger Trips": 267398, "Passenger Paid Fares": 445720, - "Average Fare": 1.6668785854793229 + "Average Fare": 1.6668785854793229, + "Average Passengers": 0.8767366172651893 }, { "NTD ID": 60006, @@ -8287,7 +8959,8 @@ "All Fuels (Wh/pkm)": 249.7497931070649, "Unlinked Passenger Trips": 5614479, "Passenger Paid Fares": 3851569, - "Average Fare": 0.6860064843060237 + "Average Fare": 0.6860064843060237, + "Average Passengers": 6.487999258610678 }, { "NTD ID": 60006, @@ -8299,7 +8972,8 @@ "All Fuels (Wh/pkm)": 897.4164974742182, "Unlinked Passenger Trips": 188757, "Passenger Paid Fares": 3534, - "Average Fare": 0.018722484464152322 + "Average Fare": 0.018722484464152322, + "Average Passengers": 4.937008270285686 }, { "NTD ID": 60007, @@ -8311,7 +8985,8 @@ "All Fuels (Wh/pkm)": 486.6090788523739, "Unlinked Passenger Trips": 340008, "Passenger Paid Fares": 1721872, - "Average Fare": 5.06421025387638 + "Average Fare": 5.06421025387638, + "Average Passengers": 9.15738707360006 }, { "NTD ID": 60007, @@ -8323,7 +8998,8 @@ "All Fuels (Wh/pkm)": 6799.3737599054875, "Unlinked Passenger Trips": 248851, "Passenger Paid Fares": 738208, - "Average Fare": 2.9664658771714802 + "Average Fare": 2.9664658771714802, + "Average Passengers": 0.8519923251658322 }, { "NTD ID": 60007, @@ -8339,7 +9015,8 @@ "All Fuels (Wh/pkm)": 606.844240732115, "Unlinked Passenger Trips": 3898139, "Passenger Paid Fares": 3439790, - "Average Fare": 0.8824185079085174 + "Average Fare": 0.8824185079085174, + "Average Passengers": 2.6589866198017416 }, { "NTD ID": 60008, @@ -8351,7 +9028,8 @@ "All Fuels (Wh/pkm)": 526.9170404725207, "Unlinked Passenger Trips": 4118028, "Passenger Paid Fares": 11360212, - "Average Fare": 2.758653413721325 + "Average Fare": 2.758653413721325, + "Average Passengers": 9.601389737444826 }, { "NTD ID": 60008, @@ -8359,7 +9037,8 @@ "UACE Code": "40429", "Unlinked Passenger Trips": 1551223, "Passenger Paid Fares": 1566828, - "Average Fare": 1.0100598044252824 + "Average Fare": 1.0100598044252824, + "Average Passengers": 0.8842663511118426 }, { "NTD ID": 60008, @@ -8371,7 +9050,8 @@ "All Fuels (Wh/pkm)": 195.21635694248837, "Unlinked Passenger Trips": 12888105, "Passenger Paid Fares": 2010665, - "Average Fare": 0.1560093590174816 + "Average Fare": 0.1560093590174816, + "Average Passengers": 19.322265667270248 }, { "NTD ID": 60008, @@ -8387,7 +9067,8 @@ "All Fuels (Wh/pkm)": 818.8013300808564, "Unlinked Passenger Trips": 45577092, "Passenger Paid Fares": 17518213, - "Average Fare": 0.3843644302712424 + "Average Fare": 0.3843644302712424, + "Average Passengers": 5.816063419957683 }, { "NTD ID": 60008, @@ -8399,7 +9080,8 @@ "All Fuels (Wh/pkm)": 541.3097865648854, "Unlinked Passenger Trips": 887217, "Passenger Paid Fares": 3715388, - "Average Fare": 4.187688017700292 + "Average Fare": 4.187688017700292, + "Average Passengers": 6.103840943193622 }, { "NTD ID": 60009, @@ -8411,7 +9093,8 @@ "All Fuels (Wh/pkm)": 6131.936078281444, "Unlinked Passenger Trips": 30752, "Passenger Paid Fares": 42875, - "Average Fare": 1.394218262226847 + "Average Fare": 1.394218262226847, + "Average Passengers": 0.6639352316664174 }, { "NTD ID": 60009, @@ -8425,7 +9108,8 @@ "All Fuels (Wh/pkm)": 1614.2652346016068, "Unlinked Passenger Trips": 1587154, "Passenger Paid Fares": 1876096, - "Average Fare": 1.1820503870449874 + "Average Fare": 1.1820503870449874, + "Average Passengers": 2.922438586418972 }, { "NTD ID": 60010, @@ -8439,7 +9123,8 @@ "All Fuels (Wh/pkm)": 3816.7808092590003, "Unlinked Passenger Trips": 82686, "Passenger Paid Fares": 150710, - "Average Fare": 1.822678567109305 + "Average Fare": 1.822678567109305, + "Average Passengers": 0.831627206498302 }, { "NTD ID": 60010, @@ -8453,7 +9138,8 @@ "All Fuels (Wh/pkm)": 2217.1511209939226, "Unlinked Passenger Trips": 2140716, "Passenger Paid Fares": 241424, - "Average Fare": 0.11277722033188896 + "Average Fare": 0.11277722033188896, + "Average Passengers": 3.421508871066809 }, { "NTD ID": 60011, @@ -8466,7 +9152,8 @@ "All Fuels (Wh/pkm)": 2058.691511510264, "Unlinked Passenger Trips": 751304, "Passenger Paid Fares": 1185948, - "Average Fare": 1.5785194807960559 + "Average Fare": 1.5785194807960559, + "Average Passengers": 0.9071018440710957 }, { "NTD ID": 60011, @@ -8481,7 +9168,8 @@ "All Fuels (Wh/pkm)": 445.6228256280864, "Unlinked Passenger Trips": 31025007, "Passenger Paid Fares": 10702860, - "Average Fare": 0.34497526463088307 + "Average Fare": 0.34497526463088307, + "Average Passengers": 5.129395906101074 }, { "NTD ID": 60011, @@ -8493,7 +9181,8 @@ "All Fuels (Wh/pkm)": 396.29719805760084, "Unlinked Passenger Trips": 366979, "Passenger Paid Fares": 2062574, - "Average Fare": 5.6204142471367575 + "Average Fare": 5.6204142471367575, + "Average Passengers": 5.074164916343309 }, { "NTD ID": 60012, @@ -8507,7 +9196,8 @@ "All Fuels (Wh/pkm)": 2154.7146245766544, "Unlinked Passenger Trips": 73793, "Passenger Paid Fares": 147761, - "Average Fare": 2.0023714986516334 + "Average Fare": 2.0023714986516334, + "Average Passengers": 0.9630356589586194 }, { "NTD ID": 60012, @@ -8519,7 +9209,8 @@ "All Fuels (Wh/pkm)": 768.6070280998233, "Unlinked Passenger Trips": 761134, "Passenger Paid Fares": 245300, - "Average Fare": 0.32228227881030147 + "Average Fare": 0.32228227881030147, + "Average Passengers": 3.232638137359399 }, { "NTD ID": 60014, @@ -8531,7 +9222,8 @@ "All Fuels (Wh/pkm)": 4618.932534423318, "Unlinked Passenger Trips": 19814, "Passenger Paid Fares": 22924, - "Average Fare": 1.156959725446654 + "Average Fare": 1.156959725446654, + "Average Passengers": 0.7539031609390181 }, { "NTD ID": 60014, @@ -8545,7 +9237,8 @@ "All Fuels (Wh/pkm)": 1174.6254606484376, "Unlinked Passenger Trips": 982477, "Passenger Paid Fares": 678140, - "Average Fare": 0.6902349876892793 + "Average Fare": 0.6902349876892793, + "Average Passengers": 5.990306796805774 }, { "NTD ID": 60016, @@ -8555,7 +9248,8 @@ "CNG (Wh/pkm)": 2346.736779699934, "Unlinked Passenger Trips": 16481, "Passenger Paid Fares": 22468, - "Average Fare": 1.3632667920635884 + "Average Fare": 1.3632667920635884, + "Average Passengers": 0.3906509998125884 }, { "NTD ID": 60016, @@ -8567,7 +9261,8 @@ "All Fuels (Wh/pkm)": 1126.6101651937086, "Unlinked Passenger Trips": 318469, "Passenger Paid Fares": 173321, - "Average Fare": 0.5442319346624004 + "Average Fare": 0.5442319346624004, + "Average Passengers": 1.6570818806363024 }, { "NTD ID": 60017, @@ -8579,7 +9274,8 @@ "All Fuels (Wh/pkm)": 3492.6493842493005, "Unlinked Passenger Trips": 52301, "Passenger Paid Fares": 147046, - "Average Fare": 2.8115332402822126 + "Average Fare": 2.8115332402822126, + "Average Passengers": 0.677972273128045 }, { "NTD ID": 60017, @@ -8591,7 +9287,8 @@ "All Fuels (Wh/pkm)": 6321.679618893875, "Unlinked Passenger Trips": 3571, "Passenger Paid Fares": 13291, - "Average Fare": 3.7219266311957435 + "Average Fare": 3.7219266311957435, + "Average Passengers": 5.468770122343851 }, { "NTD ID": 60017, @@ -8605,7 +9302,8 @@ "All Fuels (Wh/pkm)": 1234.718040386648, "Unlinked Passenger Trips": 2635012, "Passenger Paid Fares": 1821633, - "Average Fare": 0.6913186733115447 + "Average Fare": 0.6913186733115447, + "Average Passengers": 4.091925516947403 }, { "NTD ID": 60017, @@ -8617,7 +9315,8 @@ "All Fuels (Wh/pkm)": 1060.7102210417922, "Unlinked Passenger Trips": 328404, "Passenger Paid Fares": 121032, - "Average Fare": 0.3685460591223006 + "Average Fare": 0.3685460591223006, + "Average Passengers": 6.052973385033755 }, { "NTD ID": 60017, @@ -8629,7 +9328,8 @@ "All Fuels (Wh/pkm)": 223.33223599614678, "Unlinked Passenger Trips": 2644, "Passenger Paid Fares": 11709, - "Average Fare": 4.428517397881997 + "Average Fare": 4.428517397881997, + "Average Passengers": 3.906183368869936 }, { "NTD ID": 60018, @@ -8643,7 +9343,8 @@ "All Fuels (Wh/pkm)": 1002.9062102434467, "Unlinked Passenger Trips": 89667, "Passenger Paid Fares": 125509, - "Average Fare": 1.3997234211025238 + "Average Fare": 1.3997234211025238, + "Average Passengers": 0.8615209520589181 }, { "NTD ID": 60018, @@ -8657,7 +9358,8 @@ "All Fuels (Wh/pkm)": 429.7901128356109, "Unlinked Passenger Trips": 2052734, "Passenger Paid Fares": 1670522, - "Average Fare": 0.8138034445768424 + "Average Fare": 0.8138034445768424, + "Average Passengers": 3.6585702384409835 }, { "NTD ID": 60019, @@ -8669,7 +9371,8 @@ "All Fuels (Wh/pkm)": 3031.192763366493, "Unlinked Passenger Trips": 196386, "Passenger Paid Fares": 292956, - "Average Fare": 1.4917356634383305 + "Average Fare": 1.4917356634383305, + "Average Passengers": 0.9842590584905353 }, { "NTD ID": 60019, @@ -8683,7 +9386,8 @@ "All Fuels (Wh/pkm)": 1045.9334458747778, "Unlinked Passenger Trips": 6824435, "Passenger Paid Fares": 2274623, - "Average Fare": 0.3333056875770668 + "Average Fare": 0.3333056875770668, + "Average Passengers": 4.528660001699793 }, { "NTD ID": 60022, @@ -8696,7 +9400,8 @@ "All Fuels (Wh/pkm)": 4369.846664234176, "Unlinked Passenger Trips": 60752, "Passenger Paid Fares": 44375, - "Average Fare": 0.7304286278641032 + "Average Fare": 0.7304286278641032, + "Average Passengers": 0.7902576024104314 }, { "NTD ID": 60022, @@ -8710,7 +9415,8 @@ "All Fuels (Wh/pkm)": 2139.447650996651, "Unlinked Passenger Trips": 1836704, "Passenger Paid Fares": 381734, - "Average Fare": 0.20783642873320907 + "Average Fare": 0.20783642873320907, + "Average Passengers": 2.4663025744153715 }, { "NTD ID": 60024, @@ -8724,7 +9430,8 @@ "All Fuels (Wh/pkm)": 3043.4991530067628, "Unlinked Passenger Trips": 52062, "Passenger Paid Fares": 109678, - "Average Fare": 2.1066804963312973 + "Average Fare": 2.1066804963312973, + "Average Passengers": 0.7432117960987651 }, { "NTD ID": 60024, @@ -8738,7 +9445,8 @@ "All Fuels (Wh/pkm)": 576.8349157194176, "Unlinked Passenger Trips": 1254208, "Passenger Paid Fares": 893222, - "Average Fare": 0.7121801168546206 + "Average Fare": 0.7121801168546206, + "Average Passengers": 4.496644777863932 }, { "NTD ID": 60032, @@ -8750,7 +9458,8 @@ "All Fuels (Wh/pkm)": 2696.9967416321556, "Unlinked Passenger Trips": 134713, "Passenger Paid Fares": 217435, - "Average Fare": 1.6140610037635565 + "Average Fare": 1.6140610037635565, + "Average Passengers": 1.022621688558341 }, { "NTD ID": 60032, @@ -8758,7 +9467,8 @@ "UACE Code": "62677", "Unlinked Passenger Trips": 400943, "Passenger Paid Fares": 538854, - "Average Fare": 1.3439665987434624 + "Average Fare": 1.3439665987434624, + "Average Passengers": 13.420270451198288 }, { "NTD ID": 60032, @@ -8770,7 +9480,8 @@ "All Fuels (Wh/pkm)": 2000.1924830319763, "Unlinked Passenger Trips": 4878597, "Passenger Paid Fares": 5032281, - "Average Fare": 1.0315016796837286 + "Average Fare": 1.0315016796837286, + "Average Passengers": 3.232917323566271 }, { "NTD ID": 60032, @@ -8782,7 +9493,8 @@ "All Fuels (Wh/pkm)": 431.59110809079505, "Unlinked Passenger Trips": 2016527, "Passenger Paid Fares": 1523858, - "Average Fare": 0.7556844019445313 + "Average Fare": 0.7556844019445313, + "Average Passengers": 4.979770412678494 }, { "NTD ID": 60033, @@ -8794,7 +9506,8 @@ "All Fuels (Wh/pkm)": 4792.058123551663, "Unlinked Passenger Trips": 82829, "Passenger Paid Fares": 165908, - "Average Fare": 2.0030182665491556 + "Average Fare": 2.0030182665491556, + "Average Passengers": 0.7100505313176655 }, { "NTD ID": 60033, @@ -8808,7 +9521,8 @@ "All Fuels (Wh/pkm)": 1227.339323317684, "Unlinked Passenger Trips": 1461943, "Passenger Paid Fares": 776045, - "Average Fare": 0.5308312293981365 + "Average Fare": 0.5308312293981365, + "Average Passengers": 3.3917632384449092 }, { "NTD ID": 60033, @@ -8820,7 +9534,8 @@ "All Fuels (Wh/pkm)": 2857.471400318619, "Unlinked Passenger Trips": 17196, "Passenger Paid Fares": 250, - "Average Fare": 0.014538264712723889 + "Average Fare": 0.014538264712723889, + "Average Passengers": 4.059475806451614 }, { "NTD ID": 60038, @@ -8832,7 +9547,8 @@ "All Fuels (Wh/pkm)": 1799.8827317907846, "Unlinked Passenger Trips": 28822, "Passenger Paid Fares": 34962, - "Average Fare": 1.213031711886753 + "Average Fare": 1.213031711886753, + "Average Passengers": 1.3590166305133766 }, { "NTD ID": 60038, @@ -8846,7 +9562,8 @@ "All Fuels (Wh/pkm)": 329.40862630105, "Unlinked Passenger Trips": 891965, "Passenger Paid Fares": 266620, - "Average Fare": 0.2989130739434843 + "Average Fare": 0.2989130739434843, + "Average Passengers": 10.559297191484355 }, { "NTD ID": 60041, @@ -8860,7 +9577,8 @@ "All Fuels (Wh/pkm)": 382.94203462765205, "Unlinked Passenger Trips": 291554, "Passenger Paid Fares": 606522, - "Average Fare": 2.0803075931045365 + "Average Fare": 2.0803075931045365, + "Average Passengers": 6.7479749527854995 }, { "NTD ID": 60048, @@ -8872,7 +9590,8 @@ "All Fuels (Wh/pkm)": 617.526197150635, "Unlinked Passenger Trips": 412468, "Passenger Paid Fares": 882246, - "Average Fare": 2.1389441120280845 + "Average Fare": 2.1389441120280845, + "Average Passengers": 7.771424390771472 }, { "NTD ID": 60048, @@ -8886,7 +9605,8 @@ "All Fuels (Wh/pkm)": 3491.6833761678545, "Unlinked Passenger Trips": 550702, "Passenger Paid Fares": 643427, - "Average Fare": 1.1683760000871615 + "Average Fare": 1.1683760000871615, + "Average Passengers": 0.6974722575781156 }, { "NTD ID": 60048, @@ -8900,7 +9620,8 @@ "All Fuels (Wh/pkm)": 1120.0680956335093, "Unlinked Passenger Trips": 20929440, "Passenger Paid Fares": 6403542, - "Average Fare": 0.30595859229869504 + "Average Fare": 0.30595859229869504, + "Average Passengers": 5.580315760643671 }, { "NTD ID": 60048, @@ -8908,7 +9629,8 @@ "UACE Code": "04384", "Unlinked Passenger Trips": 432153, "Passenger Paid Fares": 1774330, - "Average Fare": 4.105791235974296 + "Average Fare": 4.105791235974296, + "Average Passengers": 4.590535582557269 }, { "NTD ID": 60048, @@ -8920,7 +9642,8 @@ "All Fuels (Wh/pkm)": 428.9284768436007, "Unlinked Passenger Trips": 377703, "Passenger Paid Fares": 747532, - "Average Fare": 1.9791529323304289 + "Average Fare": 1.9791529323304289, + "Average Passengers": 16.141501641676538 }, { "NTD ID": 60051, @@ -8936,7 +9659,8 @@ "All Fuels (Wh/pkm)": 1152.7557213579548, "Unlinked Passenger Trips": 129088, "Passenger Paid Fares": 115475, - "Average Fare": 0.89454480664353 + "Average Fare": 0.89454480664353, + "Average Passengers": 0.8075509421261187 }, { "NTD ID": 60051, @@ -8950,7 +9674,8 @@ "All Fuels (Wh/pkm)": 560.5278874723319, "Unlinked Passenger Trips": 2810165, "Passenger Paid Fares": 738290, - "Average Fare": 0.26272122811293996 + "Average Fare": 0.26272122811293996, + "Average Passengers": 3.7398437459652194 }, { "NTD ID": 60051, @@ -8962,7 +9687,8 @@ "All Fuels (Wh/pkm)": 414.07978401243446, "Unlinked Passenger Trips": 45341, "Passenger Paid Fares": 184463, - "Average Fare": 4.068348735140381 + "Average Fare": 4.068348735140381, + "Average Passengers": 5.442717124463432 }, { "NTD ID": 60056, @@ -8970,7 +9696,8 @@ "UACE Code": "22042", "Unlinked Passenger Trips": 1266076, "Passenger Paid Fares": 5572130, - "Average Fare": 4.401102303495209 + "Average Fare": 4.401102303495209, + "Average Passengers": 43.22318299497995 }, { "NTD ID": 60056, @@ -8984,7 +9711,8 @@ "All Fuels (Wh/pkm)": 218.99758678325497, "Unlinked Passenger Trips": 701893, "Passenger Paid Fares": 1615000, - "Average Fare": 2.3009205106761286 + "Average Fare": 2.3009205106761286, + "Average Passengers": 3.012924440651354 }, { "NTD ID": 60056, @@ -8996,7 +9724,8 @@ "All Fuels (Wh/pkm)": 237.5342006642995, "Unlinked Passenger Trips": 20081036, "Passenger Paid Fares": 15034789, - "Average Fare": 0.7487058436626477 + "Average Fare": 0.7487058436626477, + "Average Passengers": 30.717426422819326 }, { "NTD ID": 60056, @@ -9010,7 +9739,8 @@ "All Fuels (Wh/pkm)": 434.11049078785675, "Unlinked Passenger Trips": 27472695, "Passenger Paid Fares": 20568967, - "Average Fare": 0.7487058331918292 + "Average Fare": 0.7487058331918292, + "Average Passengers": 3.6688616602515873 }, { "NTD ID": 60056, @@ -9022,7 +9752,8 @@ "All Fuels (Wh/pkm)": 1453.5389063910086, "Unlinked Passenger Trips": 189420, "Passenger Paid Fares": 141819, - "Average Fare": 0.7487012987012988 + "Average Fare": 0.7487012987012988, + "Average Passengers": 3.1434123425154814 }, { "NTD ID": 60059, @@ -9034,7 +9765,8 @@ "All Fuels (Wh/pkm)": 4436.498956655874, "Unlinked Passenger Trips": 61644, "Passenger Paid Fares": 112119, - "Average Fare": 1.8188144831613782 + "Average Fare": 1.8188144831613782, + "Average Passengers": 0.77225025505681 }, { "NTD ID": 60059, @@ -9044,7 +9776,8 @@ "Gasoline (Wh/pkm)": 2326.0863485749956, "Unlinked Passenger Trips": 194839, "Passenger Paid Fares": 174889, - "Average Fare": 0.8976077684652457 + "Average Fare": 0.8976077684652457, + "Average Passengers": 1.3288629501113771 }, { "NTD ID": 60088, @@ -9057,7 +9790,8 @@ "All Fuels (Wh/pkm)": 6392.808784382831, "Unlinked Passenger Trips": 43338, "Passenger Paid Fares": 104415, - "Average Fare": 2.4093174581198946 + "Average Fare": 2.4093174581198946, + "Average Passengers": 0.6401271130379914 }, { "NTD ID": 60088, @@ -9069,7 +9803,8 @@ "All Fuels (Wh/pkm)": 1695.0988674340897, "Unlinked Passenger Trips": 1069290, "Passenger Paid Fares": 1556539, - "Average Fare": 1.455675261154598 + "Average Fare": 1.455675261154598, + "Average Passengers": 2.9200661376301293 }, { "NTD ID": 60091, @@ -9083,7 +9818,8 @@ "All Fuels (Wh/pkm)": 3192.744665437076, "Unlinked Passenger Trips": 97231, "Passenger Paid Fares": 93894, - "Average Fare": 0.9656796700640742 + "Average Fare": 0.9656796700640742, + "Average Passengers": 0.929244316362472 }, { "NTD ID": 60091, @@ -9097,7 +9833,8 @@ "All Fuels (Wh/pkm)": 1729.5307643046528, "Unlinked Passenger Trips": 213530, "Passenger Paid Fares": 113384, - "Average Fare": 0.5309979862314429 + "Average Fare": 0.5309979862314429, + "Average Passengers": 2.523447784397443 }, { "NTD ID": 60095, @@ -9107,7 +9844,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 622.1628282069369, "All Fuels (Wh/pkm)": 1254.627568163824, - "Unlinked Passenger Trips": 67255 + "Unlinked Passenger Trips": 67255, + "Average Passengers": 4.492558962176883 }, { "NTD ID": 60095, @@ -9119,7 +9857,8 @@ "All Fuels (Wh/pkm)": 3692.924647016843, "Unlinked Passenger Trips": 49017, "Passenger Paid Fares": 23292, - "Average Fare": 0.47518207968663934 + "Average Fare": 0.47518207968663934, + "Average Passengers": 0.8310047878163963 }, { "NTD ID": 60095, @@ -9127,7 +9866,8 @@ "UACE Code": "90514", "Unlinked Passenger Trips": 168541, "Passenger Paid Fares": 59748, - "Average Fare": 0.35450127862063235 + "Average Fare": 0.35450127862063235, + "Average Passengers": 0.46399335134012054 }, { "NTD ID": 60101, @@ -9139,7 +9879,8 @@ "All Fuels (Wh/pkm)": 2331.6599708910608, "Unlinked Passenger Trips": 45924, "Passenger Paid Fares": 335108, - "Average Fare": 7.297012455361031 + "Average Fare": 7.297012455361031, + "Average Passengers": 1.0887841123588318 }, { "NTD ID": 60101, @@ -9155,7 +9896,8 @@ "All Fuels (Wh/pkm)": 1962.7026267989768, "Unlinked Passenger Trips": 1304221, "Passenger Paid Fares": 3118262, - "Average Fare": 2.3909000085108274 + "Average Fare": 2.3909000085108274, + "Average Passengers": 2.2291877253409496 }, { "NTD ID": 60101, @@ -9167,7 +9909,8 @@ "All Fuels (Wh/pkm)": 278.0445501361239, "Unlinked Passenger Trips": 154811, "Passenger Paid Fares": 531164, - "Average Fare": 3.431048181330784 + "Average Fare": 3.431048181330784, + "Average Passengers": 7.166062501056667 }, { "NTD ID": 60101, @@ -9179,7 +9922,8 @@ "All Fuels (Wh/pkm)": 669.5656048992762, "Unlinked Passenger Trips": 221316, "Passenger Paid Fares": 478220, - "Average Fare": 2.160801749534602 + "Average Fare": 2.160801749534602, + "Average Passengers": 10.410416224324159 }, { "NTD ID": 60102, @@ -9191,7 +9935,8 @@ "All Fuels (Wh/pkm)": 3767.066781327364, "Unlinked Passenger Trips": 62509, "Passenger Paid Fares": 12708, - "Average Fare": 0.20329872498360235 + "Average Fare": 0.20329872498360235, + "Average Passengers": 1.5020307439861185 }, { "NTD ID": 60102, @@ -9205,7 +9950,8 @@ "All Fuels (Wh/pkm)": 176.6930973256372, "Unlinked Passenger Trips": 194301, "Passenger Paid Fares": 46339, - "Average Fare": 0.23849079520949454 + "Average Fare": 0.23849079520949454, + "Average Passengers": 4.0756924208209435 }, { "NTD ID": 60103, @@ -9217,7 +9963,8 @@ "All Fuels (Wh/pkm)": 1212.2077770061314, "Unlinked Passenger Trips": 145207, "Passenger Paid Fares": 408163, - "Average Fare": 2.810904432981881 + "Average Fare": 2.810904432981881, + "Average Passengers": 3.8610609082688248 }, { "NTD ID": 60103, @@ -9229,7 +9976,8 @@ "All Fuels (Wh/pkm)": 1046.5658358217179, "Unlinked Passenger Trips": 85067, "Passenger Paid Fares": 48977, - "Average Fare": 0.5757461765431954 + "Average Fare": 0.5757461765431954, + "Average Passengers": 1.302051923391409 }, { "NTD ID": 60107, @@ -9241,7 +9989,8 @@ "All Fuels (Wh/pkm)": 2913.8557684035077, "Unlinked Passenger Trips": 40306, "Passenger Paid Fares": 30631, - "Average Fare": 0.7599612960849501 + "Average Fare": 0.7599612960849501, + "Average Passengers": 0.920669644688294 }, { "NTD ID": 60111, @@ -9253,7 +10002,8 @@ "All Fuels (Wh/pkm)": 1360.5712091899736, "Unlinked Passenger Trips": 35521, "Passenger Paid Fares": 20122, - "Average Fare": 0.566481799498888 + "Average Fare": 0.566481799498888, + "Average Passengers": 2.1842544482143182 }, { "NTD ID": 60111, @@ -9265,7 +10015,8 @@ "All Fuels (Wh/pkm)": 718.0097965995091, "Unlinked Passenger Trips": 516082, "Passenger Paid Fares": 1344128, - "Average Fare": 2.6044853337260356 + "Average Fare": 2.6044853337260356, + "Average Passengers": 68.63275922089633 }, { "NTD ID": 60111, @@ -9273,7 +10024,8 @@ "UACE Code": "01171", "Unlinked Passenger Trips": 49900, "Passenger Paid Fares": 17584, - "Average Fare": 0.35238476953907816 + "Average Fare": 0.35238476953907816, + "Average Passengers": 0.8914041449442963 }, { "NTD ID": 60111, @@ -9285,7 +10037,8 @@ "All Fuels (Wh/pkm)": 449.28992859124713, "Unlinked Passenger Trips": 15915, "Passenger Paid Fares": 4734, - "Average Fare": 0.29745523091423187 + "Average Fare": 0.29745523091423187, + "Average Passengers": 0.9694434301810025 }, { "NTD ID": 60114, @@ -9297,7 +10050,8 @@ "All Fuels (Wh/pkm)": 3276.0044828947684, "Unlinked Passenger Trips": 122747, "Passenger Paid Fares": 79653, - "Average Fare": 0.6489201365410152 + "Average Fare": 0.6489201365410152, + "Average Passengers": 0.8594488208543526 }, { "NTD ID": 60114, @@ -9305,7 +10059,8 @@ "UACE Code": "22042", "Unlinked Passenger Trips": 57709, "Passenger Paid Fares": 26619, - "Average Fare": 0.46126254137136324 + "Average Fare": 0.46126254137136324, + "Average Passengers": 1.3236131949763401 }, { "NTD ID": 60127, @@ -9315,7 +10070,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1109.3889642165739, "All Fuels (Wh/pkm)": 1109.3889642165739, - "Unlinked Passenger Trips": 3889 + "Unlinked Passenger Trips": 3889, + "Average Passengers": 1.908955138801801 }, { "NTD ID": 60127, @@ -9323,7 +10079,8 @@ "UACE Code": "62677", "Unlinked Passenger Trips": 505664, "Passenger Paid Fares": 164678, - "Average Fare": 0.3256668459688647 + "Average Fare": 0.3256668459688647, + "Average Passengers": 15.172347575612099 }, { "NTD ID": 60130, @@ -9335,7 +10092,8 @@ "All Fuels (Wh/pkm)": 4175.629417157173, "Unlinked Passenger Trips": 107222, "Passenger Paid Fares": 136066, - "Average Fare": 1.2690119565014641 + "Average Fare": 1.2690119565014641, + "Average Passengers": 0.8860686136445745 }, { "NTD ID": 60133, @@ -9347,7 +10105,8 @@ "All Fuels (Wh/pkm)": 268.8346506709517, "Unlinked Passenger Trips": 585839, "Passenger Paid Fares": 22962, - "Average Fare": 0.03919506895239136 + "Average Fare": 0.03919506895239136, + "Average Passengers": 11.050350935325483 }, { "NTD ID": 60134, @@ -9359,7 +10118,8 @@ "All Fuels (Wh/pkm)": 572.0583669400887, "Unlinked Passenger Trips": 157847, "Passenger Paid Fares": 960700, - "Average Fare": 6.086273416662971 + "Average Fare": 6.086273416662971, + "Average Passengers": 6.60532164237193 }, { "NTD ID": 60134, @@ -9368,7 +10128,8 @@ "Other (%)": 100.0, "All Fuels (%)": 100, "All Fuels (Wh/pkm)": 1671.2857118198378, - "Unlinked Passenger Trips": 62607 + "Unlinked Passenger Trips": 62607, + "Average Passengers": 2.0656163279921222 }, { "NTD ID": 60269, @@ -9378,7 +10139,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 898.0355430560262, "All Fuels (Wh/pkm)": 898.0355430560262, - "Unlinked Passenger Trips": 2116187 + "Unlinked Passenger Trips": 2116187, + "Average Passengers": 6.109819864314656 }, { "NTD ID": 66339, @@ -9390,7 +10152,8 @@ "All Fuels (Wh/pkm)": 864.1645154408164, "Unlinked Passenger Trips": 100833, "Passenger Paid Fares": 553475, - "Average Fare": 5.489026410004661 + "Average Fare": 5.489026410004661, + "Average Passengers": 4.411133306353261 }, { "NTD ID": 70001, @@ -9404,7 +10167,8 @@ "All Fuels (Wh/pkm)": 2128.0209580319115, "Unlinked Passenger Trips": 57184, "Passenger Paid Fares": 24322, - "Average Fare": 0.4253287632904309 + "Average Fare": 0.4253287632904309, + "Average Passengers": 0.7290347634143904 }, { "NTD ID": 70001, @@ -9418,7 +10182,8 @@ "All Fuels (Wh/pkm)": 943.0122905813889, "Unlinked Passenger Trips": 1883081, "Passenger Paid Fares": 2047478, - "Average Fare": 1.0873021394193878 + "Average Fare": 1.0873021394193878, + "Average Passengers": 3.4645536649497752 }, { "NTD ID": 70002, @@ -9432,7 +10197,8 @@ "All Fuels (Wh/pkm)": 1103.3527240648648, "Unlinked Passenger Trips": 64517, "Passenger Paid Fares": 141257, - "Average Fare": 2.189453942371778 + "Average Fare": 2.189453942371778, + "Average Passengers": 0.7427127857926535 }, { "NTD ID": 70002, @@ -9446,7 +10212,8 @@ "All Fuels (Wh/pkm)": 2160.5369908930247, "Unlinked Passenger Trips": 2127352, "Passenger Paid Fares": 2605202, - "Average Fare": 1.2246219713521787 + "Average Fare": 1.2246219713521787, + "Average Passengers": 2.1783844128694 }, { "NTD ID": 70003, @@ -9458,7 +10225,8 @@ "All Fuels (Wh/pkm)": 4176.269890307901, "Unlinked Passenger Trips": 13864, "Passenger Paid Fares": 20351, - "Average Fare": 1.4679024812463934 + "Average Fare": 1.4679024812463934, + "Average Passengers": 0.6880719120998741 }, { "NTD ID": 70003, @@ -9470,7 +10238,8 @@ "All Fuels (Wh/pkm)": 1184.291580364926, "Unlinked Passenger Trips": 900719, "Passenger Paid Fares": 620950, - "Average Fare": 0.6893936954810546 + "Average Fare": 0.6893936954810546, + "Average Passengers": 4.507331910603915 }, { "NTD ID": 70005, @@ -9485,7 +10254,8 @@ "All Fuels (Wh/pkm)": 1289.4016062770202, "Unlinked Passenger Trips": 273539, "Passenger Paid Fares": 561673, - "Average Fare": 2.05335619418072 + "Average Fare": 2.05335619418072, + "Average Passengers": 1.6002316764348272 }, { "NTD ID": 70005, @@ -9501,7 +10271,8 @@ "All Fuels (Wh/pkm)": 750.1097064317546, "Unlinked Passenger Trips": 8672318, "Passenger Paid Fares": 1843886, - "Average Fare": 0.2126174340009211 + "Average Fare": 0.2126174340009211, + "Average Passengers": 5.052494099052666 }, { "NTD ID": 70005, @@ -9515,7 +10286,8 @@ "All Fuels (Wh/pkm)": 87.33151458039265, "Unlinked Passenger Trips": 786333, "Passenger Paid Fares": 147837, - "Average Fare": 0.18800813395851376 + "Average Fare": 0.18800813395851376, + "Average Passengers": 5.422151136756697 }, { "NTD ID": 70005, @@ -9527,7 +10299,8 @@ "All Fuels (Wh/pkm)": 401.12562444506875, "Unlinked Passenger Trips": 35203, "Passenger Paid Fares": 235980, - "Average Fare": 6.703405959719342 + "Average Fare": 6.703405959719342, + "Average Passengers": 3.8826659774176533 }, { "NTD ID": 70006, @@ -9539,7 +10312,8 @@ "All Fuels (Wh/pkm)": 2912.0906670247123, "Unlinked Passenger Trips": 412964, "Passenger Paid Fares": 1080011, - "Average Fare": 2.615266706056702 + "Average Fare": 2.615266706056702, + "Average Passengers": 1.0417576828112753 }, { "NTD ID": 70006, @@ -9551,7 +10325,8 @@ "All Fuels (Wh/pkm)": 159.07182680777322, "Unlinked Passenger Trips": 10510179, "Passenger Paid Fares": 11352642, - "Average Fare": 1.080156865073373 + "Average Fare": 1.080156865073373, + "Average Passengers": 24.02312687454787 }, { "NTD ID": 70006, @@ -9563,7 +10338,8 @@ "All Fuels (Wh/pkm)": 887.5651946987373, "Unlinked Passenger Trips": 19348534, "Passenger Paid Fares": 18553439, - "Average Fare": 0.9589067058000363 + "Average Fare": 0.9589067058000363, + "Average Passengers": 5.702622994491266 }, { "NTD ID": 70008, @@ -9577,7 +10353,8 @@ "All Fuels (Wh/pkm)": 2175.8040967067986, "Unlinked Passenger Trips": 71306, "Passenger Paid Fares": 242737, - "Average Fare": 3.404159537766808 + "Average Fare": 3.404159537766808, + "Average Passengers": 0.96564760068829 }, { "NTD ID": 70008, @@ -9589,7 +10366,8 @@ "All Fuels (Wh/pkm)": 1034.4507790809039, "Unlinked Passenger Trips": 997565, "Passenger Paid Fares": 593110, - "Average Fare": 0.5945577481166641 + "Average Fare": 0.5945577481166641, + "Average Passengers": 5.052019712493935 }, { "NTD ID": 70010, @@ -9603,7 +10381,8 @@ "All Fuels (Wh/pkm)": 3128.8747468432307, "Unlinked Passenger Trips": 84663, "Passenger Paid Fares": 85125, - "Average Fare": 1.005456929237093 + "Average Fare": 1.005456929237093, + "Average Passengers": 1.0568409867172677 }, { "NTD ID": 70010, @@ -9615,7 +10394,8 @@ "All Fuels (Wh/pkm)": 1458.7170663457607, "Unlinked Passenger Trips": 3502397, "Passenger Paid Fares": 1544899, - "Average Fare": 0.4410976254262438 + "Average Fare": 0.4410976254262438, + "Average Passengers": 3.5892617915144167 }, { "NTD ID": 70010, @@ -9627,7 +10407,8 @@ "All Fuels (Wh/pkm)": 301.34833522336316, "Unlinked Passenger Trips": 166779, "Passenger Paid Fares": 518201, - "Average Fare": 3.107111806642323 + "Average Fare": 3.107111806642323, + "Average Passengers": 4.476113989562465 }, { "NTD ID": 70012, @@ -9639,7 +10420,8 @@ "All Fuels (Wh/pkm)": 2879.8294289749497, "Unlinked Passenger Trips": 33368, "Passenger Paid Fares": 121338, - "Average Fare": 3.6363581874850155 + "Average Fare": 3.6363581874850155, + "Average Passengers": 1.0464229002589707 }, { "NTD ID": 70012, @@ -9651,7 +10433,8 @@ "All Fuels (Wh/pkm)": 1032.0643851102602, "Unlinked Passenger Trips": 698623, "Passenger Paid Fares": 579898, - "Average Fare": 0.830058558049191 + "Average Fare": 0.830058558049191, + "Average Passengers": 5.474213976825883 }, { "NTD ID": 70014, @@ -9663,7 +10446,8 @@ "All Fuels (Wh/pkm)": 2199.9636262910444, "Unlinked Passenger Trips": 44801, "Passenger Paid Fares": 146275, - "Average Fare": 3.264994084953461 + "Average Fare": 3.264994084953461, + "Average Passengers": 1.5892781482059628 }, { "NTD ID": 70014, @@ -9675,7 +10459,8 @@ "All Fuels (Wh/pkm)": 952.342960640193, "Unlinked Passenger Trips": 1090411, "Passenger Paid Fares": 755779, - "Average Fare": 0.6931138809127935 + "Average Fare": 0.6931138809127935, + "Average Passengers": 4.899946883637621 }, { "NTD ID": 70015, @@ -9687,7 +10472,8 @@ "All Fuels (Wh/pkm)": 3091.3203146208716, "Unlinked Passenger Trips": 59832, "Passenger Paid Fares": 175560, - "Average Fare": 2.9342158042519055 + "Average Fare": 2.9342158042519055, + "Average Passengers": 0.8837554526412882 }, { "NTD ID": 70015, @@ -9699,7 +10485,8 @@ "All Fuels (Wh/pkm)": 1680.181572427756, "Unlinked Passenger Trips": 770461, "Passenger Paid Fares": 913010, - "Average Fare": 1.1850178010308114 + "Average Fare": 1.1850178010308114, + "Average Passengers": 2.6520395859375183 }, { "NTD ID": 70016, @@ -9713,7 +10500,8 @@ "All Fuels (Wh/pkm)": 4840.5868876663935, "Unlinked Passenger Trips": 38056, "Passenger Paid Fares": 38231, - "Average Fare": 1.0045984864410342 + "Average Fare": 1.0045984864410342, + "Average Passengers": 0.6499979351452052 }, { "NTD ID": 70016, @@ -9729,7 +10517,8 @@ "All Fuels (Wh/pkm)": 1755.0483209374027, "Unlinked Passenger Trips": 448364, "Passenger Paid Fares": 57333, - "Average Fare": 0.12787155079355167 + "Average Fare": 0.12787155079355167, + "Average Passengers": 3.3298438905133465 }, { "NTD ID": 70018, @@ -9743,7 +10532,8 @@ "All Fuels (Wh/pkm)": 3154.1050587094933, "Unlinked Passenger Trips": 73489, "Passenger Paid Fares": 136174, - "Average Fare": 1.8529848004463254 + "Average Fare": 1.8529848004463254, + "Average Passengers": 1.114128305582762 }, { "NTD ID": 70018, @@ -9755,13 +10545,15 @@ "All Fuels (Wh/pkm)": 1551.6922249819697, "Unlinked Passenger Trips": 1156346, "Passenger Paid Fares": 968974, - "Average Fare": 0.8379619940744379 + "Average Fare": 0.8379619940744379, + "Average Passengers": 3.7257994319736896 }, { "NTD ID": 70019, "Mode": "DR", "UACE Code": "41590", - "Unlinked Passenger Trips": 6441 + "Unlinked Passenger Trips": 6441, + "Average Passengers": 0.6165709901854448 }, { "NTD ID": 70019, @@ -9771,7 +10563,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1024.1737316567965, "All Fuels (Wh/pkm)": 1024.1737316567965, - "Unlinked Passenger Trips": 2781354 + "Unlinked Passenger Trips": 2781354, + "Average Passengers": 5.951344617641274 }, { "NTD ID": 70030, @@ -9785,7 +10578,8 @@ "All Fuels (Wh/pkm)": 3800.8386435713032, "Unlinked Passenger Trips": 9433, "Passenger Paid Fares": 16706, - "Average Fare": 1.771016643697657 + "Average Fare": 1.771016643697657, + "Average Passengers": 0.8834220276187268 }, { "NTD ID": 70030, @@ -9797,7 +10591,8 @@ "All Fuels (Wh/pkm)": 997.0065847375815, "Unlinked Passenger Trips": 340726, "Passenger Paid Fares": 138091, - "Average Fare": 0.40528459818153 + "Average Fare": 0.40528459818153, + "Average Passengers": 5.5012616840782345 }, { "NTD ID": 70035, @@ -9809,7 +10604,8 @@ "All Fuels (Wh/pkm)": 921.3418976072463, "Unlinked Passenger Trips": 33403, "Passenger Paid Fares": 32416, - "Average Fare": 0.9704517558303146 + "Average Fare": 0.9704517558303146, + "Average Passengers": 1.480724071570941 }, { "NTD ID": 70035, @@ -9823,7 +10619,8 @@ "All Fuels (Wh/pkm)": 2206.9043260640897, "Unlinked Passenger Trips": 57299, "Passenger Paid Fares": 126577, - "Average Fare": 2.2090612401612595 + "Average Fare": 2.2090612401612595, + "Average Passengers": 0.9717510902563935 }, { "NTD ID": 70035, @@ -9837,7 +10634,8 @@ "All Fuels (Wh/pkm)": 2608.767310419727, "Unlinked Passenger Trips": 149539, "Passenger Paid Fares": 96119, - "Average Fare": 0.6427687760383579 + "Average Fare": 0.6427687760383579, + "Average Passengers": 1.8592201711600265 }, { "NTD ID": 70041, @@ -9851,7 +10649,8 @@ "All Fuels (Wh/pkm)": 1021.9532141370433, "Unlinked Passenger Trips": 4569664, "Passenger Paid Fares": 4121704, - "Average Fare": 0.9019709107715578 + "Average Fare": 0.9019709107715578, + "Average Passengers": 5.577200907554794 }, { "NTD ID": 70044, @@ -9863,7 +10662,8 @@ "All Fuels (Wh/pkm)": 1247.202848759591, "Unlinked Passenger Trips": 1311663, "Passenger Paid Fares": 3728931, - "Average Fare": 2.842903245726989 + "Average Fare": 2.842903245726989, + "Average Passengers": 4.703096364998167 }, { "NTD ID": 70048, @@ -9871,7 +10671,8 @@ "UACE Code": "48232", "Unlinked Passenger Trips": 43977, "Passenger Paid Fares": 80838, - "Average Fare": 1.838188143802442 + "Average Fare": 1.838188143802442, + "Average Passengers": 0.5893818867874036 }, { "NTD ID": 70048, @@ -9881,7 +10682,8 @@ "Gasoline (Wh/pkm)": 1741.7581810828715, "Unlinked Passenger Trips": 524148, "Passenger Paid Fares": 168166, - "Average Fare": 0.3208368628707922 + "Average Fare": 0.3208368628707922, + "Average Passengers": 1.5599995124220636 }, { "NTD ID": 70049, @@ -9893,7 +10695,8 @@ "All Fuels (Wh/pkm)": 1850.8415036317715, "Unlinked Passenger Trips": 129689, "Passenger Paid Fares": 105538, - "Average Fare": 0.8137775755846679 + "Average Fare": 0.8137775755846679, + "Average Passengers": 1.235143008338514 }, { "NTD ID": 70066, @@ -9907,7 +10710,8 @@ "All Fuels (Wh/pkm)": 2165.1490766802963, "Unlinked Passenger Trips": 177686, "Passenger Paid Fares": 276561, - "Average Fare": 1.5564591470346567 + "Average Fare": 1.5564591470346567, + "Average Passengers": 1.567784286743678 }, { "NTD ID": 70271, @@ -9917,7 +10721,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 334.5239287979363, "All Fuels (Wh/pkm)": 334.5239287979363, - "Unlinked Passenger Trips": 2007019 + "Unlinked Passenger Trips": 2007019, + "Average Passengers": 18.682731334878856 }, { "NTD ID": 80001, @@ -9929,7 +10734,8 @@ "All Fuels (Wh/pkm)": 1686.6211957353082, "Unlinked Passenger Trips": 190855, "Passenger Paid Fares": 69038, - "Average Fare": 0.3617301092452385 + "Average Fare": 0.3617301092452385, + "Average Passengers": 4.391594016859701 }, { "NTD ID": 80001, @@ -9941,7 +10747,8 @@ "All Fuels (Wh/pkm)": 1099.0050355446608, "Unlinked Passenger Trips": 2024524, "Passenger Paid Fares": 1644716, - "Average Fare": 0.81239639539961 + "Average Fare": 0.81239639539961, + "Average Passengers": 48.62491863343508 }, { "NTD ID": 80001, @@ -9955,7 +10762,8 @@ "All Fuels (Wh/pkm)": 2490.8345327522597, "Unlinked Passenger Trips": 187112, "Passenger Paid Fares": 119049, - "Average Fare": 0.6362446021634102 + "Average Fare": 0.6362446021634102, + "Average Passengers": 0.8538771494440595 }, { "NTD ID": 80001, @@ -9967,7 +10775,8 @@ "All Fuels (Wh/pkm)": 224.9394401971507, "Unlinked Passenger Trips": 8247364, "Passenger Paid Fares": 3638388, - "Average Fare": 0.4411576838369205 + "Average Fare": 0.4411576838369205, + "Average Passengers": 17.344901074356386 }, { "NTD ID": 80001, @@ -9985,7 +10794,8 @@ "All Fuels (Wh/pkm)": 1218.1126012156756, "Unlinked Passenger Trips": 12250449, "Passenger Paid Fares": 4390165, - "Average Fare": 0.35836768105397604 + "Average Fare": 0.35836768105397604, + "Average Passengers": 3.1894996744454147 }, { "NTD ID": 80001, @@ -9997,7 +10807,8 @@ "All Fuels (Wh/pkm)": 195.99960669847607, "Unlinked Passenger Trips": 658990, "Passenger Paid Fares": 2551368, - "Average Fare": 3.871633863943307 + "Average Fare": 3.871633863943307, + "Average Passengers": 4.790520878431318 }, { "NTD ID": 80002, @@ -10009,7 +10820,8 @@ "All Fuels (Wh/pkm)": 3954.6900142895456, "Unlinked Passenger Trips": 39130, "Passenger Paid Fares": 78279, - "Average Fare": 2.0004855609506773 + "Average Fare": 2.0004855609506773, + "Average Passengers": 0.8914949755796329 }, { "NTD ID": 80002, @@ -10021,7 +10833,8 @@ "All Fuels (Wh/pkm)": 1628.3269905531033, "Unlinked Passenger Trips": 445205, "Passenger Paid Fares": 277640, - "Average Fare": 0.6236228254399658 + "Average Fare": 0.6236228254399658, + "Average Passengers": 2.816052509736634 }, { "NTD ID": 80003, @@ -10033,7 +10846,8 @@ "All Fuels (Wh/pkm)": 4482.917296926048, "Unlinked Passenger Trips": 37292, "Passenger Paid Fares": 40833, - "Average Fare": 1.0949533411991847 + "Average Fare": 1.0949533411991847, + "Average Passengers": 0.7018355211075722 }, { "NTD ID": 80003, @@ -10047,7 +10861,8 @@ "All Fuels (Wh/pkm)": 1344.113802015855, "Unlinked Passenger Trips": 848312, "Passenger Paid Fares": 126448, - "Average Fare": 0.1490583653184206 + "Average Fare": 0.1490583653184206, + "Average Passengers": 3.7127827764028107 }, { "NTD ID": 80004, @@ -10059,7 +10874,8 @@ "All Fuels (Wh/pkm)": 2494.946783573463, "Unlinked Passenger Trips": 35414, "Passenger Paid Fares": 54048, - "Average Fare": 1.52617608855255 + "Average Fare": 1.52617608855255, + "Average Passengers": 1.294683282576338 }, { "NTD ID": 80004, @@ -10071,7 +10887,8 @@ "All Fuels (Wh/pkm)": 2019.6641290627992, "Unlinked Passenger Trips": 373146, "Passenger Paid Fares": 319223, - "Average Fare": 0.855490880245266 + "Average Fare": 0.855490880245266, + "Average Passengers": 2.276485686320262 }, { "NTD ID": 80005, @@ -10083,7 +10900,8 @@ "All Fuels (Wh/pkm)": 2106.524713086452, "Unlinked Passenger Trips": 75153, "Passenger Paid Fares": 197823, - "Average Fare": 2.6322701688555346 + "Average Fare": 2.6322701688555346, + "Average Passengers": 1.152468376950143 }, { "NTD ID": 80005, @@ -10095,7 +10913,8 @@ "All Fuels (Wh/pkm)": 1499.496325120336, "Unlinked Passenger Trips": 1974970, "Passenger Paid Fares": 1758588, - "Average Fare": 0.8904378294353839 + "Average Fare": 0.8904378294353839, + "Average Passengers": 3.051499805959137 }, { "NTD ID": 80005, @@ -10107,7 +10926,8 @@ "All Fuels (Wh/pkm)": 263.79429324125994, "Unlinked Passenger Trips": 13285, "Passenger Paid Fares": 145852, - "Average Fare": 10.978697779450508 + "Average Fare": 10.978697779450508, + "Average Passengers": 3.226494239695103 }, { "NTD ID": 80006, @@ -10119,7 +10939,8 @@ "All Fuels (Wh/pkm)": 151.118749017381, "Unlinked Passenger Trips": 4954167, "Passenger Paid Fares": 7809015, - "Average Fare": 1.5762518703951642 + "Average Fare": 1.5762518703951642, + "Average Passengers": 26.60492141626211 }, { "NTD ID": 80006, @@ -10131,7 +10952,8 @@ "All Fuels (Wh/pkm)": 3776.5154690102177, "Unlinked Passenger Trips": 537078, "Passenger Paid Fares": 2476217, - "Average Fare": 4.6105351550426565 + "Average Fare": 4.6105351550426565, + "Average Passengers": 0.5268833148644231 }, { "NTD ID": 80006, @@ -10143,7 +10965,8 @@ "All Fuels (Wh/pkm)": 216.04437820981857, "Unlinked Passenger Trips": 10464678, "Passenger Paid Fares": 7746846, - "Average Fare": 0.7402851764765241 + "Average Fare": 0.7402851764765241, + "Average Passengers": 18.69472736591881 }, { "NTD ID": 80006, @@ -10157,7 +10980,8 @@ "All Fuels (Wh/pkm)": 1020.2159096207405, "Unlinked Passenger Trips": 36358764, "Passenger Paid Fares": 20199629, - "Average Fare": 0.5555642375521896 + "Average Fare": 0.5555642375521896, + "Average Passengers": 4.95067109252156 }, { "NTD ID": 80007, @@ -10169,7 +10993,8 @@ "All Fuels (Wh/pkm)": 4314.514094047802, "Unlinked Passenger Trips": 29950, "Passenger Paid Fares": 19967, - "Average Fare": 0.666677796327212 + "Average Fare": 0.666677796327212, + "Average Passengers": 0.6032316650751746 }, { "NTD ID": 80007, @@ -10181,7 +11006,8 @@ "All Fuels (Wh/pkm)": 1737.74510643773, "Unlinked Passenger Trips": 466709, "Passenger Paid Fares": 100575, - "Average Fare": 0.21549830836774092 + "Average Fare": 0.21549830836774092, + "Average Passengers": 3.6306215669725717 }, { "NTD ID": 80008, @@ -10189,7 +11015,8 @@ "UACE Code": "34219", "Unlinked Passenger Trips": 141914, "Passenger Paid Fares": 109755, - "Average Fare": 0.7733909268993898 + "Average Fare": 0.7733909268993898, + "Average Passengers": 0.8670546768184839 }, { "NTD ID": 80009, @@ -10201,7 +11028,8 @@ "Gasoline (Wh/pkm)": 2709.63901728348, "Diesel (Wh/pkm)": 6865.772825742698, "All Fuels (Wh/pkm)": 3505.946105492696, - "Unlinked Passenger Trips": 37987 + "Unlinked Passenger Trips": 37987, + "Average Passengers": 0.6287318510172024 }, { "NTD ID": 80009, @@ -10211,7 +11039,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1127.593956379626, "All Fuels (Wh/pkm)": 1178.8592379522167, - "Unlinked Passenger Trips": 1225842 + "Unlinked Passenger Trips": 1225842, + "Average Passengers": 4.465459800104363 }, { "NTD ID": 80011, @@ -10223,7 +11052,8 @@ "All Fuels (Wh/pkm)": 1266.1137858961104, "Unlinked Passenger Trips": 23090, "Passenger Paid Fares": 14582, - "Average Fare": 0.6315288003464703 + "Average Fare": 0.6315288003464703, + "Average Passengers": 5.952673342150009 }, { "NTD ID": 80011, @@ -10237,7 +11067,8 @@ "All Fuels (Wh/pkm)": 388.4816729312616, "Unlinked Passenger Trips": 1176513, "Passenger Paid Fares": 39850, - "Average Fare": 0.0338712789403942 + "Average Fare": 0.0338712789403942, + "Average Passengers": 4.023997221946285 }, { "NTD ID": 80011, @@ -10249,7 +11080,8 @@ "All Fuels (Wh/pkm)": 366.9251199864004, "Unlinked Passenger Trips": 597349, "Passenger Paid Fares": 12584, - "Average Fare": 0.02106641176263792 + "Average Fare": 0.02106641176263792, + "Average Passengers": 6.023445220889727 }, { "NTD ID": 80012, @@ -10261,7 +11093,8 @@ "All Fuels (Wh/pkm)": 2513.645619462239, "Unlinked Passenger Trips": 38243, "Passenger Paid Fares": 76418, - "Average Fare": 1.9982218968177183 + "Average Fare": 1.9982218968177183, + "Average Passengers": 0.6095374488078189 }, { "NTD ID": 80012, @@ -10273,7 +11106,8 @@ "All Fuels (Wh/pkm)": 2037.2478750244572, "Unlinked Passenger Trips": 299609, "Passenger Paid Fares": 176848, - "Average Fare": 0.590262642310478 + "Average Fare": 0.590262642310478, + "Average Passengers": 2.3920734032282924 }, { "NTD ID": 80025, @@ -10283,7 +11117,8 @@ "Gasoline (Wh/pkm)": 3013.3717108050423, "Unlinked Passenger Trips": 68999, "Passenger Paid Fares": 20512, - "Average Fare": 0.2972796707198655 + "Average Fare": 0.2972796707198655, + "Average Passengers": 1.184420174396709 }, { "NTD ID": 80028, @@ -10293,7 +11128,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 3690.0614014071994, "All Fuels (Wh/pkm)": 3690.0614014071994, - "Unlinked Passenger Trips": 15789 + "Unlinked Passenger Trips": 15789, + "Average Passengers": 0.8499056355337078 }, { "NTD ID": 80028, @@ -10303,7 +11139,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2043.807871928926, "All Fuels (Wh/pkm)": 2043.807871928926, - "Unlinked Passenger Trips": 730547 + "Unlinked Passenger Trips": 730547, + "Average Passengers": 2.059576610612182 }, { "NTD ID": 80106, @@ -10315,7 +11152,8 @@ "All Fuels (Wh/pkm)": 336.9266816802764, "Unlinked Passenger Trips": 18056, "Passenger Paid Fares": 124819, - "Average Fare": 6.912882144439521 + "Average Fare": 6.912882144439521, + "Average Passengers": 1.6831995851256922 }, { "NTD ID": 80107, @@ -10327,7 +11165,8 @@ "Diesel (Wh/pkm)": 1241.1198356106795, "Electric (Wh/pkm)": 418.26879535298207, "All Fuels (Wh/pkm)": 935.4193353890485, - "Unlinked Passenger Trips": 168546 + "Unlinked Passenger Trips": 168546, + "Average Passengers": 3.9047746565621404 }, { "NTD ID": 80109, @@ -10339,7 +11178,8 @@ "All Fuels (Wh/pkm)": 496.99261011338615, "Unlinked Passenger Trips": 75597, "Passenger Paid Fares": 539290, - "Average Fare": 7.133748693731233 + "Average Fare": 7.133748693731233, + "Average Passengers": 3.7201004334376258 }, { "NTD ID": 80285, @@ -10353,7 +11193,8 @@ "All Fuels (Wh/pkm)": 2593.9962331105553, "Unlinked Passenger Trips": 62915, "Passenger Paid Fares": 43583, - "Average Fare": 0.6927282841929587 + "Average Fare": 0.6927282841929587, + "Average Passengers": 0.9312044063836864 }, { "NTD ID": 90001, @@ -10365,7 +11206,8 @@ "All Fuels (Wh/pkm)": 224.84747922317146, "Unlinked Passenger Trips": 23368, "Passenger Paid Fares": 50691, - "Average Fare": 2.1692485450188292 + "Average Fare": 2.1692485450188292, + "Average Passengers": 5.265987797919502 }, { "NTD ID": 90001, @@ -10379,7 +11221,8 @@ "All Fuels (Wh/pkm)": 1298.765373023572, "Unlinked Passenger Trips": 177878, "Passenger Paid Fares": 366542, - "Average Fare": 2.0606370658541246 + "Average Fare": 2.0606370658541246, + "Average Passengers": 0.9255371555839031 }, { "NTD ID": 90001, @@ -10393,7 +11236,8 @@ "All Fuels (Wh/pkm)": 552.7063978183719, "Unlinked Passenger Trips": 6811895, "Passenger Paid Fares": 3921941, - "Average Fare": 0.5757488921951968 + "Average Fare": 0.5757488921951968, + "Average Passengers": 9.781767838849893 }, { "NTD ID": 90001, @@ -10405,7 +11249,8 @@ "All Fuels (Wh/pkm)": 276.94315279590614, "Unlinked Passenger Trips": 497334, "Passenger Paid Fares": 1899619, - "Average Fare": 3.819604129216985 + "Average Fare": 3.819604129216985, + "Average Passengers": 5.571502977531662 }, { "NTD ID": 90002, @@ -10417,7 +11262,8 @@ "All Fuels (Wh/pkm)": 2431.0937351614803, "Unlinked Passenger Trips": 1166144, "Passenger Paid Fares": 1862918, - "Average Fare": 1.5975025382800065 + "Average Fare": 1.5975025382800065, + "Average Passengers": 1.4802203680809123 }, { "NTD ID": 90002, @@ -10429,7 +11275,8 @@ "All Fuels (Wh/pkm)": 550.736040927612, "Unlinked Passenger Trips": 48536030, "Passenger Paid Fares": 44318132, - "Average Fare": 0.9130975895638765 + "Average Fare": 0.9130975895638765, + "Average Passengers": 10.098420944824472 }, { "NTD ID": 90002, @@ -10441,7 +11288,8 @@ "All Fuels (Wh/pkm)": 200.2485342347105, "Unlinked Passenger Trips": 178293, "Passenger Paid Fares": 543383, - "Average Fare": 3.047696768801916 + "Average Fare": 3.047696768801916, + "Average Passengers": 6.442772458815951 }, { "NTD ID": 90003, @@ -10453,7 +11301,8 @@ "All Fuels 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"Average Passengers": 0.6104100799268813 }, { "NTD ID": 90004, @@ -10501,7 +11353,8 @@ "All Fuels (Wh/pkm)": 93.11901308976444, "Unlinked Passenger Trips": 5245726, "Passenger Paid Fares": 3479495, - "Average Fare": 0.6633009425196817 + "Average Fare": 0.6633009425196817, + "Average Passengers": 4.705130031515294 }, { "NTD ID": 90006, @@ -10515,7 +11368,8 @@ "All Fuels (Wh/pkm)": 149.63215792013688, "Unlinked Passenger Trips": 200249, "Passenger Paid Fares": 1068136, - "Average Fare": 5.334039121293989 + "Average Fare": 5.334039121293989, + "Average Passengers": 11.140764036932211 }, { "NTD ID": 90006, @@ -10527,7 +11381,8 @@ "All Fuels (Wh/pkm)": 2645.5039626406246, "Unlinked Passenger Trips": 61631, "Passenger Paid Fares": 217664, - "Average Fare": 3.5317291622722333 + "Average Fare": 3.5317291622722333, + "Average Passengers": 0.9047940936546199 }, { "NTD ID": 90006, @@ -10541,7 +11396,8 @@ "All Fuels (Wh/pkm)": 375.9283723193104, "Unlinked Passenger Trips": 3344208, "Passenger Paid Fares": 1868184, - "Average Fare": 0.5586327166252817 + "Average Fare": 0.5586327166252817, + "Average Passengers": 6.257826142926264 }, { "NTD ID": 90007, @@ -10555,7 +11411,8 @@ "All Fuels (Wh/pkm)": 2641.6112768244325, "Unlinked Passenger Trips": 69905, "Passenger Paid Fares": 193285, - "Average Fare": 2.764966740576497 + "Average Fare": 2.764966740576497, + "Average Passengers": 1.1266673240100136 }, { "NTD ID": 90007, @@ -10569,7 +11426,8 @@ "All Fuels (Wh/pkm)": 1282.350805390796, "Unlinked Passenger Trips": 1987698, "Passenger Paid Fares": 1708234, - "Average Fare": 0.8594031890156352 + "Average Fare": 0.8594031890156352, + "Average Passengers": 3.9426702238961133 }, { "NTD ID": 90008, @@ -10583,7 +11441,8 @@ "All Fuels (Wh/pkm)": 271.5907609133147, "Unlinked Passenger Trips": 34334, "Passenger Paid Fares": 18583, - "Average Fare": 0.5412419176326674 + "Average Fare": 0.5412419176326674, + "Average Passengers": 2.7467398419012135 }, { "NTD ID": 90008, @@ -10597,7 +11456,8 @@ "All Fuels (Wh/pkm)": 352.1506059096366, "Unlinked Passenger Trips": 10285930, "Passenger Paid Fares": 6638254, - "Average Fare": 0.6453722706648791 + "Average Fare": 0.6453722706648791, + "Average Passengers": 6.882808050760456 }, { "NTD ID": 90009, @@ -10609,7 +11469,8 @@ "All Fuels (Wh/pkm)": 1196.6235751957017, "Unlinked Passenger Trips": 273568, "Passenger Paid Fares": 680876, - "Average Fare": 2.4888729675985495 + "Average Fare": 2.4888729675985495, + "Average Passengers": 2.2840531425200106 }, { "NTD ID": 90009, @@ -10623,7 +11484,8 @@ "All Fuels (Wh/pkm)": 1426.0664874653562, "Unlinked Passenger Trips": 8953687, "Passenger Paid Fares": 11008783, - "Average Fare": 1.2295251107169594 + "Average Fare": 1.2295251107169594, + "Average Passengers": 3.832854642065297 }, { "NTD ID": 90010, @@ -10637,7 +11499,8 @@ "All Fuels (Wh/pkm)": 214.7911440726697, "Unlinked Passenger Trips": 3111369, "Passenger Paid Fares": 1702552, - "Average Fare": 0.5472034978814792 + "Average Fare": 0.5472034978814792, + "Average Passengers": 8.112004154946447 }, { "NTD ID": 90012, @@ -10649,7 +11512,8 @@ "All Fuels (Wh/pkm)": 431.54873914810554, "Unlinked Passenger Trips": 113840, "Passenger Paid Fares": 540316, - "Average Fare": 4.746275474349964 + "Average Fare": 4.746275474349964, + "Average Passengers": 9.696089001120392 }, { "NTD ID": 90012, @@ -10663,7 +11527,8 @@ "All Fuels (Wh/pkm)": 1763.1860694388677, "Unlinked Passenger Trips": 117765, "Passenger Paid Fares": 383294, - "Average Fare": 3.2547361270326496 + "Average Fare": 3.2547361270326496, + "Average Passengers": 1.1448277877428792 }, { "NTD ID": 90012, @@ -10679,7 +11544,8 @@ "All Fuels (Wh/pkm)": 1106.55507970744, "Unlinked Passenger Trips": 2765597, "Passenger Paid Fares": 1267937, - "Average Fare": 0.4584677377072654 + "Average Fare": 0.4584677377072654, + "Average Passengers": 4.855381783844436 }, { "NTD ID": 90013, @@ -10691,7 +11557,8 @@ "All Fuels (Wh/pkm)": 1799.0036634124012, "Unlinked Passenger Trips": 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90014, @@ -10743,7 +11613,8 @@ "All Fuels (Wh/pkm)": 3028.2057387953623, "Unlinked Passenger Trips": 573832, "Passenger Paid Fares": 2016496, - "Average Fare": 3.5140877469363856 + "Average Fare": 3.5140877469363856, + "Average Passengers": 0.9645740356248512 }, { "NTD ID": 90014, @@ -10756,7 +11627,8 @@ "All Fuels (Wh/pkm)": 739.685351514569, "Unlinked Passenger Trips": 42363148, "Passenger Paid Fares": 53779854, - "Average Fare": 1.2694961668098885 + "Average Fare": 1.2694961668098885, + "Average Passengers": 7.3197833370858945 }, { "NTD ID": 90015, @@ -10768,7 +11640,8 @@ "All Fuels (Wh/pkm)": 358.668946900486, "Unlinked Passenger Trips": 4012470, "Passenger Paid Fares": 16548189, - "Average Fare": 4.124190087402523 + "Average Fare": 4.124190087402523, + "Average Passengers": 27.055680396909008 }, { "NTD ID": 90015, @@ -10780,7 +11653,8 @@ "All Fuels (Wh/pkm)": 3642.841000699446, "Unlinked Passenger Trips": 309142, "Passenger Paid Fares": 775397, - "Average Fare": 2.5082227584734524 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"Unlinked Passenger Trips": 38098301, "Passenger Paid Fares": 31169491, - "Average Fare": 0.818133359805205 + "Average Fare": 0.818133359805205, + "Average Passengers": 10.654245795534884 }, { "NTD ID": 90016, @@ -10840,7 +11718,8 @@ "All Fuels (Wh/pkm)": 4225.04313473572, "Unlinked Passenger Trips": 26179, "Passenger Paid Fares": 103339, - "Average Fare": 3.947400588257764 + "Average Fare": 3.947400588257764, + "Average Passengers": 0.8083161557461283 }, { "NTD ID": 90016, @@ -10852,7 +11731,8 @@ "All Fuels (Wh/pkm)": 2528.14897817733, "Unlinked Passenger Trips": 1712507, "Passenger Paid Fares": 14503324, - "Average Fare": 8.469059688515141 + "Average Fare": 8.469059688515141, + "Average Passengers": 97.57326432268428 }, { "NTD ID": 90016, @@ -10864,7 +11744,8 @@ "All Fuels (Wh/pkm)": 508.16614562155684, "Unlinked Passenger Trips": 2279801, "Passenger Paid Fares": 12304540, - "Average Fare": 5.397199141504017 + "Average Fare": 5.397199141504017, + "Average Passengers": 9.280683994634455 }, { "NTD ID": 90017, @@ -10876,7 +11757,8 @@ "All Fuels (Wh/pkm)": 3193.0403728947936, "Unlinked Passenger Trips": 29773, "Passenger Paid Fares": 79581, - "Average Fare": 2.6729251335102275 + "Average Fare": 2.6729251335102275, + "Average Passengers": 0.9289452485513082 }, { "NTD ID": 90017, @@ -10890,7 +11772,8 @@ "All Fuels (Wh/pkm)": 760.1901525840731, "Unlinked Passenger Trips": 1477599, "Passenger Paid Fares": 942766, - "Average Fare": 0.6380391432316888 + "Average Fare": 0.6380391432316888, + "Average Passengers": 6.912619640789704 }, { "NTD ID": 90019, @@ -10900,7 +11783,8 @@ "CNG (Wh/pkm)": 4435.709297994961, "Unlinked Passenger Trips": 126099, "Passenger Paid Fares": 600945, - "Average Fare": 4.765660314514786 + "Average Fare": 4.765660314514786, + "Average Passengers": 0.6336157248277198 }, { "NTD ID": 90019, @@ -10912,7 +11796,8 @@ "All Fuels (Wh/pkm)": 164.0934999150087, "Unlinked Passenger Trips": 8988806, "Passenger Paid Fares": 5981316, - "Average Fare": 0.6654182991600887 + "Average Fare": 0.6654182991600887, + "Average Passengers": 30.231738195788715 }, { "NTD ID": 90019, @@ -10928,7 +11813,8 @@ "All Fuels (Wh/pkm)": 427.36158868583635, "Unlinked Passenger Trips": 8448833, "Passenger Paid Fares": 5440652, - "Average Fare": 0.6439530761230575 + "Average Fare": 0.6439530761230575, + "Average Passengers": 4.384183342982762 }, { "NTD ID": 90020, @@ -10942,7 +11828,8 @@ "All Fuels (Wh/pkm)": 658.9303954158543, "Unlinked Passenger Trips": 5154750, "Passenger Paid Fares": 2810958, - "Average Fare": 0.5453141277462534 + "Average Fare": 0.5453141277462534, + "Average Passengers": 7.376821097378836 }, { "NTD ID": 90022, @@ -10954,7 +11841,8 @@ "All Fuels (Wh/pkm)": 3030.9763383773766, "Unlinked Passenger Trips": 18992, "Passenger Paid Fares": 18607, - "Average Fare": 0.9797283066554339 + "Average Fare": 0.9797283066554339, + "Average Passengers": 1.1915281539305755 }, { "NTD ID": 90022, @@ -10968,7 +11856,8 @@ "All Fuels (Wh/pkm)": 551.8737059960156, "Unlinked Passenger Trips": 1168297, "Passenger Paid Fares": 885264, - "Average Fare": 0.7577388283972312 + "Average Fare": 0.7577388283972312, + "Average Passengers": 4.521025223264271 }, { "NTD ID": 90023, @@ -10982,7 +11871,8 @@ "All Fuels (Wh/pkm)": 776.7456383361151, "Unlinked Passenger Trips": 29414, "Passenger Paid Fares": 49742, - "Average Fare": 1.6910994764397906 + "Average Fare": 1.6910994764397906, + "Average Passengers": 0.54610202875714 }, { "NTD ID": 90023, @@ -11000,7 +11890,8 @@ "All Fuels (Wh/pkm)": 434.12451476912383, "Unlinked Passenger Trips": 18358682, "Passenger Paid Fares": 8703636, - "Average Fare": 0.474088281500818 + "Average Fare": 0.474088281500818, + "Average Passengers": 8.527792622487333 }, { "NTD ID": 90024, @@ -11014,7 +11905,8 @@ "All Fuels (Wh/pkm)": 1354.5435987285807, "Unlinked Passenger Trips": 32326, "Passenger Paid Fares": 24048, - "Average Fare": 0.7439213017385387 + "Average Fare": 0.7439213017385387, + "Average Passengers": 1.8283748706685303 }, { "NTD ID": 90026, @@ -11026,7 +11918,8 @@ "All Fuels (Wh/pkm)": 566.0648271778462, "Unlinked Passenger Trips": 207372, "Passenger Paid Fares": 686103, - "Average Fare": 3.3085614258434117 + "Average Fare": 3.3085614258434117, + "Average Passengers": 7.500508849881953 }, { "NTD ID": 90026, @@ -11039,7 +11932,8 @@ "All Fuels (Wh/pkm)": 1385.3920535243067, "Unlinked Passenger Trips": 343960, "Passenger Paid Fares": 687011, - "Average Fare": 1.9973572508431212 + "Average Fare": 1.9973572508431212, + "Average Passengers": 1.2185362345733737 }, { "NTD ID": 90026, @@ -11051,7 +11945,8 @@ "All Fuels (Wh/pkm)": 57.48597134859475, "Unlinked Passenger Trips": 32003027, "Passenger Paid Fares": 32915918, - "Average Fare": 1.0285251454495226 + "Average Fare": 1.0285251454495226, + "Average Passengers": 59.23996950870908 }, { "NTD ID": 90026, @@ -11065,7 +11960,8 @@ "All Fuels (Wh/pkm)": 306.2623202665825, "Unlinked Passenger Trips": 38669721, "Passenger Paid Fares": 30940522, - "Average Fare": 0.8001227109965443 + "Average Fare": 0.8001227109965443, + "Average Passengers": 6.642873363470142 }, { "NTD ID": 90027, @@ -11079,7 +11975,8 @@ "All Fuels (Wh/pkm)": 2514.319509057269, "Unlinked Passenger Trips": 170721, "Passenger Paid Fares": 281026, - "Average Fare": 1.646112663351316 + "Average Fare": 1.646112663351316, + "Average Passengers": 1.1524019100218617 }, { "NTD ID": 90027, @@ -11093,7 +11990,8 @@ "All Fuels (Wh/pkm)": 344.1516825180771, "Unlinked Passenger Trips": 9058367, "Passenger Paid Fares": 4737348, - "Average Fare": 0.5229803561723653 + "Average Fare": 0.5229803561723653, + "Average Passengers": 4.990898057045473 }, { "NTD ID": 90029, @@ -11107,7 +12005,8 @@ "All Fuels (Wh/pkm)": 1814.9778815084642, "Unlinked Passenger Trips": 246811, "Passenger Paid Fares": 209293, - "Average Fare": 0.8479889470080345 + "Average Fare": 0.8479889470080345, + "Average Passengers": 1.3225557446435285 }, { "NTD ID": 90029, @@ -11119,7 +12018,8 @@ "All Fuels (Wh/pkm)": 296.7184917660548, "Unlinked Passenger Trips": 8777639, "Passenger Paid Fares": 6662595, - "Average Fare": 0.7590418106736903 + "Average Fare": 0.7590418106736903, + "Average Passengers": 4.8706194488440095 }, { "NTD ID": 90030, @@ -11131,7 +12031,8 @@ "All Fuels (Wh/pkm)": 696.9907886656913, "Unlinked Passenger Trips": 944109, "Passenger Paid Fares": 4126697, - "Average Fare": 4.370996357412121 + "Average Fare": 4.370996357412121, + "Average Passengers": 102.69790106797875 }, { "NTD ID": 90030, @@ -11143,7 +12044,8 @@ "All Fuels (Wh/pkm)": 1718.0448000393772, "Unlinked Passenger Trips": 116446, "Passenger Paid Fares": 680567, - "Average Fare": 5.844485856104976 + "Average Fare": 5.844485856104976, + "Average Passengers": 1.4956858739885672 }, { "NTD ID": 90030, @@ -11159,7 +12061,8 @@ "All Fuels (Wh/pkm)": 486.40386830004525, "Unlinked Passenger Trips": 5166163, "Passenger Paid Fares": 5433298, - "Average Fare": 1.0517085891405284 + "Average Fare": 1.0517085891405284, + "Average Passengers": 3.6415782668247445 }, { "NTD ID": 90030, @@ -11171,7 +12074,8 @@ "All Fuels (Wh/pkm)": 452.1292389515519, "Unlinked Passenger Trips": 2066091, "Passenger Paid Fares": 2378653, - "Average Fare": 1.1512818167254009 + "Average Fare": 1.1512818167254009, + "Average Passengers": 30.604399663183678 }, { "NTD ID": 90031, @@ -11185,7 +12089,8 @@ "All Fuels (Wh/pkm)": 338.6868442704014, "Unlinked Passenger Trips": 321097, "Passenger Paid Fares": 865151, - "Average Fare": 2.6943602711953085 + "Average Fare": 2.6943602711953085, + "Average Passengers": 4.819216538313702 }, { "NTD ID": 90031, @@ -11197,7 +12102,8 @@ "All Fuels (Wh/pkm)": 3819.966181702814, "Unlinked Passenger Trips": 283642, "Passenger Paid Fares": 1403368, - "Average Fare": 4.947673475719393 + "Average Fare": 4.947673475719393, + "Average Passengers": 0.7740167949288982 }, { "NTD ID": 90031, @@ -11211,7 +12117,8 @@ "All Fuels (Wh/pkm)": 347.7083652272297, "Unlinked Passenger Trips": 6372396, "Passenger Paid Fares": 7052048, - "Average Fare": 1.106655644125067 + "Average Fare": 1.106655644125067, + "Average Passengers": 4.670286519571566 }, { "NTD ID": 90032, @@ -11223,7 +12130,8 @@ "All Fuels (Wh/pkm)": 6128.944119800954, "Unlinked Passenger Trips": 299766, "Passenger Paid Fares": 793244, - "Average Fare": 2.646210711021263 + "Average Fare": 2.646210711021263, + "Average Passengers": 0.6175655092083506 }, { "NTD ID": 90032, @@ -11239,7 +12147,8 @@ "All Fuels (Wh/pkm)": 761.6795402231954, "Unlinked Passenger Trips": 30330695, "Passenger Paid Fares": 20498807, - "Average Fare": 0.6758436296959236 + "Average Fare": 0.6758436296959236, + "Average Passengers": 4.0499886036511965 }, { "NTD ID": 90033, @@ -11253,7 +12162,8 @@ "All Fuels (Wh/pkm)": 3752.8307068638965, "Unlinked Passenger Trips": 422956, "Passenger Paid Fares": 828338, - "Average Fare": 1.958449578679579 + "Average Fare": 1.958449578679579, + "Average Passengers": 0.9321660187732431 }, { "NTD ID": 90033, @@ -11267,7 +12177,8 @@ "All Fuels (Wh/pkm)": 859.8919155041222, "Unlinked Passenger Trips": 12346810, "Passenger Paid Fares": 8274280, - "Average Fare": 0.6701552870741512 + "Average Fare": 0.6701552870741512, + "Average Passengers": 5.050689909715518 }, { "NTD ID": 90033, @@ -11279,7 +12190,8 @@ "All Fuels (Wh/pkm)": 1151.5915071971538, "Unlinked Passenger Trips": 682262, "Passenger Paid Fares": 521351, - "Average Fare": 0.7641507221565909 + "Average Fare": 0.7641507221565909, + "Average Passengers": 4.883331770188021 }, { "NTD ID": 90034, @@ -11292,7 +12204,8 @@ "All Fuels (Wh/pkm)": 6354.3222751852445, "Unlinked Passenger Trips": 47273, "Passenger Paid Fares": 76929, - "Average Fare": 1.6273348422989868 + "Average Fare": 1.6273348422989868, + "Average Passengers": 0.8889797353370426 }, { "NTD ID": 90034, @@ -11305,7 +12218,8 @@ "Gasoline (Wh/pkm)": 1816.7771280370525, "Diesel (Wh/pkm)": 2294.229352415354, "All Fuels (Wh/pkm)": 1942.4907174823497, - "Unlinked Passenger Trips": 109294 + "Unlinked Passenger Trips": 109294, + "Average Passengers": 2.197690210239296 }, { "NTD ID": 90035, @@ -11319,7 +12233,8 @@ "All Fuels (Wh/pkm)": 965.0664792613698, "Unlinked Passenger Trips": 95245, "Passenger Paid Fares": 169709, - "Average Fare": 1.7818153183894168 + "Average Fare": 1.7818153183894168, + "Average Passengers": 1.0320804024362447 }, { "NTD ID": 90035, @@ -11331,7 +12246,8 @@ "All Fuels (Wh/pkm)": 521.7314619691098, "Unlinked Passenger Trips": 2958867, "Passenger Paid Fares": 1715567, - "Average Fare": 0.5798053782072665 + "Average Fare": 0.5798053782072665, + "Average Passengers": 5.279623761266511 }, { "NTD ID": 90036, @@ -11343,7 +12259,8 @@ "All Fuels (Wh/pkm)": 475.9462952207479, "Unlinked Passenger Trips": 155402, "Passenger Paid Fares": 208846, - "Average Fare": 1.3439080578113538 + "Average Fare": 1.3439080578113538, + "Average Passengers": 5.276427486593531 }, { "NTD ID": 90036, @@ -11355,7 +12272,8 @@ "All Fuels (Wh/pkm)": 1805.1239669854417, "Unlinked Passenger Trips": 1268429, "Passenger Paid Fares": 7253233, - "Average Fare": 5.71828064479762 + "Average Fare": 5.71828064479762, + "Average Passengers": 1.8454791961958592 }, { "NTD ID": 90036, @@ -11367,7 +12285,8 @@ "All Fuels (Wh/pkm)": 292.64333237401786, "Unlinked Passenger Trips": 30670503, "Passenger Paid Fares": 26700427, - "Average Fare": 0.8705571930137566 + "Average Fare": 0.8705571930137566, + "Average Passengers": 5.346591718076031 }, { "NTD ID": 90036, @@ -11379,7 +12298,8 @@ "All Fuels (Wh/pkm)": 518.5979426822362, "Unlinked Passenger Trips": 914713, "Passenger Paid Fares": 5616939, - "Average Fare": 6.140657233471045 + "Average Fare": 6.140657233471045, + "Average Passengers": 4.476384975556475 }, { "NTD ID": 90039, @@ -11391,7 +12311,8 @@ "All Fuels (Wh/pkm)": 2926.142904575034, "Unlinked Passenger Trips": 5329, "Passenger Paid Fares": 2092, - "Average Fare": 0.392568962281854 + "Average Fare": 0.392568962281854, + "Average Passengers": 0.6251009128733775 }, { "NTD ID": 90039, @@ -11403,7 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0.6700900140211493, + "Average Passengers": 5.999309768519128 }, { "NTD ID": 90043, @@ -11453,7 +12378,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 991.2546695121484, "All Fuels (Wh/pkm)": 991.2546695121484, - "Unlinked Passenger Trips": 9032 + "Unlinked Passenger Trips": 9032, + "Average Passengers": 0.6280773332096992 }, { "NTD ID": 90043, @@ -11463,7 +12389,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 610.5214295590953, "All Fuels (Wh/pkm)": 610.5214295590953, - "Unlinked Passenger Trips": 314383 + "Unlinked Passenger Trips": 314383, + "Average Passengers": 3.719359593455321 }, { "NTD ID": 90045, @@ -11475,7 +12402,8 @@ "All Fuels (Wh/pkm)": 771.5869220366529, "Unlinked Passenger Trips": 1176939, "Passenger Paid Fares": 2308944, - "Average Fare": 1.961821300849067 + "Average Fare": 1.961821300849067, + "Average Passengers": 1.0783452670594993 }, { "NTD ID": 90045, @@ -11489,7 +12417,8 @@ "All Fuels (Wh/pkm)": 239.4982052663367, "Unlinked Passenger Trips": 55719636, "Passenger Paid Fares": 49514535, - "Average Fare": 0.8886370865739324 + "Average Fare": 0.8886370865739324, + "Average Passengers": 10.93099435027207 }, { "NTD ID": 90061, @@ -11501,7 +12430,8 @@ "All Fuels (Wh/pkm)": 421.7501991810295, "Unlinked Passenger Trips": 107551, "Passenger Paid Fares": 224271, - "Average Fare": 2.0852525778467887 + "Average Fare": 2.0852525778467887, + "Average Passengers": 8.612459553519761 }, { "NTD ID": 90061, @@ -11511,7 +12441,8 @@ "Diesel (Wh/pkm)": 2952.454564240245, "Unlinked Passenger Trips": 46466, "Passenger Paid Fares": 10291, - "Average Fare": 0.2214737657642147 + "Average Fare": 0.2214737657642147, + "Average Passengers": 0.9558457949953454 }, { "NTD ID": 90061, @@ -11523,7 +12454,8 @@ "All Fuels (Wh/pkm)": 2993.915192599235, "Unlinked Passenger Trips": 567872, "Passenger Paid Fares": 253585, - "Average Fare": 0.4465530964724445 + "Average Fare": 0.4465530964724445, + "Average Passengers": 2.898162386848962 }, { "NTD ID": 90062, @@ -11535,7 +12467,8 @@ "All 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"Average Passengers": 3.7927138860569087 }, { "NTD ID": 90079, @@ -11591,7 +12527,8 @@ "All Fuels (Wh/pkm)": 716.7170267454084, "Unlinked Passenger Trips": 122126, "Passenger Paid Fares": 253113, - "Average Fare": 2.072556212436336 + "Average Fare": 2.072556212436336, + "Average Passengers": 1.2404607658987234 }, { "NTD ID": 90079, @@ -11605,7 +12542,8 @@ "All Fuels (Wh/pkm)": 310.0588164676103, "Unlinked Passenger Trips": 3379520, "Passenger Paid Fares": 1779753, - "Average Fare": 0.5266289295521257 + "Average Fare": 0.5266289295521257, + "Average Passengers": 6.913377141665852 }, { "NTD ID": 90079, @@ -11617,7 +12555,8 @@ "All Fuels (Wh/pkm)": 517.9696199552712, "Unlinked Passenger Trips": 15623, "Passenger Paid Fares": 108896, - "Average Fare": 6.97023619023235 + "Average Fare": 6.97023619023235, + "Average Passengers": 4.934490356627948 }, { "NTD ID": 90086, @@ -11629,7 +12568,8 @@ "All Fuels (Wh/pkm)": 661.0666630791483, "Unlinked Passenger Trips": 97080, "Passenger Paid Fares": 309027, - "Average Fare": 3.1832200247218787 + "Average Fare": 3.1832200247218787, + "Average Passengers": 1.4763804099988442 }, { "NTD ID": 90087, @@ -11641,7 +12581,8 @@ "All Fuels (Wh/pkm)": 2374.7911758299283, "Unlinked Passenger Trips": 18584, "Passenger Paid Fares": 21344, - "Average Fare": 1.1485148514851484 + "Average Fare": 1.1485148514851484, + "Average Passengers": 1.3449727990746263 }, { "NTD ID": 90087, @@ -11655,7 +12596,8 @@ "All Fuels (Wh/pkm)": 2577.8898710943354, "Unlinked Passenger Trips": 530308, "Passenger Paid Fares": 695910, - "Average Fare": 1.3122751306787754 + "Average Fare": 1.3122751306787754, + "Average Passengers": 2.0223321227107642 }, { "NTD ID": 90088, @@ -11667,7 +12609,8 @@ "All Fuels (Wh/pkm)": 1378.0064227521696, "Unlinked Passenger Trips": 97143, "Passenger Paid Fares": 149870, - "Average Fare": 1.5427771429747899 + "Average Fare": 1.5427771429747899, + "Average Passengers": 3.5170476709247773 }, { "NTD ID": 90088, @@ -11679,7 +12622,8 @@ "All 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"Average Passengers": 3.484250107185483 }, { "NTD ID": 90090, @@ -11735,7 +12682,8 @@ "All Fuels (Wh/pkm)": 3109.22468281307, "Unlinked Passenger Trips": 21520, "Passenger Paid Fares": 28642, - "Average Fare": 1.3309479553903345 + "Average Fare": 1.3309479553903345, + "Average Passengers": 0.9155840418732716 }, { "NTD ID": 90090, @@ -11749,7 +12697,8 @@ "All Fuels (Wh/pkm)": 341.3852928663995, "Unlinked Passenger Trips": 914054, "Passenger Paid Fares": 1467407, - "Average Fare": 1.6053832705726359 + "Average Fare": 1.6053832705726359, + "Average Passengers": 4.937378888992709 }, { "NTD ID": 90091, @@ -11761,7 +12710,8 @@ "All Fuels (Wh/pkm)": 392.9333290780641, "Unlinked Passenger Trips": 22822, "Passenger Paid Fares": 146422, - "Average Fare": 6.415826833756901 + "Average Fare": 6.415826833756901, + "Average Passengers": 3.96535087540426 }, { "NTD ID": 90091, @@ -11773,7 +12723,8 @@ "All Fuels (Wh/pkm)": 941.8247928005186, "Unlinked Passenger Trips": 31370, "Passenger Paid Fares": 12202, - "Average Fare": 0.3889703538412496 + "Average Fare": 0.3889703538412496, + "Average Passengers": 1.0221445856678804 }, { "NTD ID": 90091, @@ -11785,7 +12736,8 @@ "All Fuels (Wh/pkm)": 470.8818613386096, "Unlinked Passenger Trips": 959178, "Passenger Paid Fares": 850559, - "Average Fare": 0.8867582450806837 + "Average Fare": 0.8867582450806837, + "Average Passengers": 3.878339333359904 }, { "NTD ID": 90092, @@ -11797,7 +12749,8 @@ "All Fuels (Wh/pkm)": 965.9548058262848, "Unlinked Passenger Trips": 268845, "Passenger Paid Fares": 994224, - "Average Fare": 3.6981308932656365 + "Average Fare": 3.6981308932656365, + "Average Passengers": 4.875007027430324 }, { "NTD ID": 90092, @@ -11809,7 +12762,8 @@ "All Fuels (Wh/pkm)": 3734.163725470099, "Unlinked Passenger Trips": 14099, "Passenger Paid Fares": 76431, - "Average Fare": 5.421022767572168 + "Average Fare": 5.421022767572168, + "Average Passengers": 0.8968035636983145 }, { "NTD ID": 90092, @@ -11817,7 +12771,8 @@ "UACE Code": "28657", "Unlinked Passenger Trips": 395774, "Passenger Paid Fares": 387701, - "Average Fare": 0.979601995077999 + "Average Fare": 0.979601995077999, + "Average Passengers": 1.6788651763425118 }, { "NTD ID": 90093, @@ -11829,7 +12784,8 @@ "All Fuels (Wh/pkm)": 3202.1956149358793, "Unlinked Passenger Trips": 32469, "Passenger Paid Fares": 90265, - "Average Fare": 2.7800363423573256 + "Average Fare": 2.7800363423573256, + "Average Passengers": 0.995095177980788 }, { "NTD ID": 90093, @@ -11843,7 +12799,8 @@ "All Fuels (Wh/pkm)": 1002.516975536992, "Unlinked Passenger Trips": 545439, "Passenger Paid Fares": 460934, - "Average Fare": 0.8450697511545746 + "Average Fare": 0.8450697511545746, + "Average Passengers": 4.789315715201324 }, { "NTD ID": 90094, @@ -11855,7 +12812,8 @@ "All Fuels (Wh/pkm)": 342.84044296543715, "Unlinked Passenger Trips": 419614, "Passenger Paid Fares": 2253160, - "Average Fare": 5.369601586219717 + "Average Fare": 5.369601586219717, + "Average Passengers": 6.52757616727653 }, { "NTD ID": 90095, @@ -11867,7 +12825,8 @@ "All Fuels (Wh/pkm)": 574.4782863897052, "Unlinked Passenger Trips": 1494029, "Passenger Paid Fares": 8911349, - "Average Fare": 5.964642587259016 + "Average Fare": 5.964642587259016, + "Average Passengers": 5.255016825786943 }, { "NTD ID": 90121, @@ -11880,7 +12839,8 @@ "All Fuels (Wh/pkm)": 288.23265517392883, "Unlinked Passenger Trips": 199896, "Passenger Paid Fares": 1475318, - "Average Fare": 7.380427822467683 + "Average Fare": 7.380427822467683, + "Average Passengers": 10.79353211917201 }, { "NTD ID": 90121, @@ -11892,7 +12852,8 @@ "All Fuels (Wh/pkm)": 2668.477884422392, "Unlinked Passenger Trips": 1702884, "Passenger Paid Fares": 1859594, - "Average Fare": 1.0920262331433028 + "Average Fare": 1.0920262331433028, + "Average Passengers": 5.120582463857607 }, { "NTD ID": 90131, @@ -11900,7 +12861,8 @@ "UACE Code": "69184", "CNG (%)": 37.282825493579594, "CNG (Wh/pkm)": 1909.0864672445844, - "Unlinked Passenger Trips": 632664 + "Unlinked Passenger Trips": 632664, + "Average Passengers": 0.7059468373974226 }, { "NTD ID": 90134, @@ -11912,7 +12874,8 @@ "All Fuels (Wh/pkm)": 297.95455979686335, "Unlinked Passenger Trips": 13692716, "Passenger Paid Fares": 76094433, - "Average Fare": 5.557292870165422 + "Average Fare": 5.557292870165422, + "Average Passengers": 256.2260030902783 }, { "NTD ID": 90136, @@ -11928,7 +12891,8 @@ "All Fuels (Wh/pkm)": 793.9683479028037, "Unlinked Passenger Trips": 11137195, "Passenger Paid Fares": 6442461, - "Average Fare": 0.5784635179683933 + "Average Fare": 0.5784635179683933, + "Average Passengers": 3.223787421165269 }, { "NTD ID": 90136, @@ -11940,7 +12904,8 @@ "All Fuels (Wh/pkm)": 277.47694778378667, "Unlinked Passenger Trips": 853872, "Passenger Paid Fares": 3276082, - "Average Fare": 3.8367366537373284 + "Average Fare": 3.8367366537373284, + "Average Passengers": 5.886297294545567 }, { "NTD ID": 90140, @@ -11952,7 +12917,8 @@ "All Fuels (Wh/pkm)": 3840.9585102398637, 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6.161974451502106 }, { "NTD ID": 90147, @@ -12006,7 +12975,8 @@ "All Fuels (Wh/pkm)": 264.78403179370247, "Unlinked Passenger Trips": 1109805, "Passenger Paid Fares": 1191853, - "Average Fare": 1.0739301048382373 + "Average Fare": 1.0739301048382373, + "Average Passengers": 5.473440152127486 }, { "NTD ID": 90147, @@ -12018,7 +12988,8 @@ "All Fuels (Wh/pkm)": 6636.646521615538, "Unlinked Passenger Trips": 261429, "Passenger Paid Fares": 238454, - "Average Fare": 0.9121176304082561 + "Average Fare": 0.9121176304082561, + "Average Passengers": 1.0827342553992707 }, { "NTD ID": 90147, @@ -12033,7 +13004,8 @@ "All Fuels (Wh/pkm)": 691.1573346088645, "Unlinked Passenger Trips": 12899620, "Passenger Paid Fares": 4695400, - "Average Fare": 0.36399521846379973 + "Average Fare": 0.36399521846379973, + "Average Passengers": 3.666229883215165 }, { "NTD ID": 90148, @@ -12045,7 +13017,8 @@ "All Fuels (Wh/pkm)": 460.1007095086129, "Unlinked Passenger Trips": 30234, "Passenger Paid Fares": 200732, - "Average Fare": 6.639280280478931 + "Average Fare": 6.639280280478931, + "Average Passengers": 5.909300219893933 }, { "NTD ID": 90148, @@ -12059,7 +13032,8 @@ "All Fuels (Wh/pkm)": 1646.56924533637, "Unlinked Passenger Trips": 147166, "Passenger Paid Fares": 311621, - "Average Fare": 2.1174795808814535 + "Average Fare": 2.1174795808814535, + "Average Passengers": 2.1004681399356064 }, { "NTD ID": 90148, @@ -12073,7 +13047,8 @@ "All Fuels (Wh/pkm)": 703.9660292963714, "Unlinked Passenger Trips": 1261973, "Passenger Paid Fares": 1885360, - "Average Fare": 1.4939780803551264 + "Average Fare": 1.4939780803551264, + "Average Passengers": 2.6268285069131925 }, { "NTD ID": 90148, @@ -12085,7 +13060,8 @@ "All Fuels (Wh/pkm)": 795.1786335153906, "Unlinked Passenger Trips": 532311, "Passenger Paid Fares": 3054624, - "Average Fare": 5.738419833518376 + "Average Fare": 5.738419833518376, + "Average Passengers": 4.7214344578622445 }, { "NTD ID": 90151, @@ -12097,7 +13073,8 @@ "All Fuels (Wh/pkm)": 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"Average Passengers": 11.515227552677802 }, { "NTD ID": 90154, @@ -12145,7 +13125,8 @@ "All Fuels (Wh/pkm)": 95.18499988329964, "Unlinked Passenger Trips": 5398482, "Passenger Paid Fares": 3195033, - "Average Fare": 0.5918391503389286 + "Average Fare": 0.5918391503389286, + "Average Passengers": 21.060916688308993 }, { "NTD ID": 90156, @@ -12159,7 +13140,8 @@ "All Fuels (Wh/pkm)": 1019.3107615079762, "Unlinked Passenger Trips": 715383, "Passenger Paid Fares": 210604, - "Average Fare": 0.29439335293122704 + "Average Fare": 0.29439335293122704, + "Average Passengers": 5.383833352201969 }, { "NTD ID": 90157, @@ -12173,7 +13155,8 @@ "All Fuels (Wh/pkm)": 811.950786914, "Unlinked Passenger Trips": 3649482, "Passenger Paid Fares": 8006264, - "Average Fare": 2.193808326770758 + "Average Fare": 2.193808326770758, + "Average Passengers": 1.7805970820308963 }, { "NTD ID": 90159, @@ -12185,7 +13168,8 @@ "All Fuels (Wh/pkm)": 166.45570405719218, "Unlinked Passenger Trips": 272902, "Passenger Paid Fares": 1080770, - "Average Fare": 3.9602861100321727 + "Average Fare": 3.9602861100321727, + "Average Passengers": 16.65750338086976 }, { "NTD ID": 90159, @@ -12193,7 +13177,8 @@ "UACE Code": "78904", "Unlinked Passenger Trips": 27815, "Passenger Paid Fares": 33918, - "Average Fare": 1.2194139852597519 + "Average Fare": 1.2194139852597519, + "Average Passengers": 1.232935957566197 }, { "NTD ID": 90159, @@ -12207,7 +13192,8 @@ "All Fuels (Wh/pkm)": 1341.054276212237, "Unlinked Passenger Trips": 653355, "Passenger Paid Fares": 609117, - "Average Fare": 0.9322910209610396 + "Average Fare": 0.9322910209610396, + "Average Passengers": 3.2354679678454255 }, { "NTD ID": 90162, @@ -12219,7 +13205,8 @@ "All Fuels (Wh/pkm)": 2742.178558383159, "Unlinked Passenger Trips": 157293, "Passenger Paid Fares": 619899, - "Average Fare": 3.9410463275543095 + "Average Fare": 3.9410463275543095, + "Average Passengers": 1.3200788879838035 }, { "NTD ID": 90162, @@ -12233,7 +13220,8 @@ "All Fuels (Wh/pkm)": 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Passengers": 2.687175499461658 }, { "NTD ID": 90171, @@ -12283,7 +13274,8 @@ "All Fuels (Wh/pkm)": 356.5974006783851, "Unlinked Passenger Trips": 328554, "Passenger Paid Fares": 984241, - "Average Fare": 2.995674987977623 + "Average Fare": 2.995674987977623, + "Average Passengers": 7.6974847119955525 }, { "NTD ID": 90171, @@ -12297,7 +13289,8 @@ "All Fuels (Wh/pkm)": 1833.1269732676365, "Unlinked Passenger Trips": 100802, "Passenger Paid Fares": 89737, - "Average Fare": 0.8902303525723696 + "Average Fare": 0.8902303525723696, + "Average Passengers": 1.0312807151463916 }, { "NTD ID": 90171, @@ -12311,7 +13304,8 @@ "All Fuels (Wh/pkm)": 403.1650789482715, "Unlinked Passenger Trips": 1702338, "Passenger Paid Fares": 1333064, - "Average Fare": 0.783078331095235 + "Average Fare": 0.783078331095235, + "Average Passengers": 3.611287891895416 }, { "NTD ID": 90173, @@ -12323,7 +13317,8 @@ "All Fuels (Wh/pkm)": 3725.341828779932, "Unlinked Passenger Trips": 41331, "Passenger Paid Fares": 151125, 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"NTD ID": 90200, @@ -12421,7 +13423,8 @@ "All Fuels (Wh/pkm)": 301.3397347235833, "Unlinked Passenger Trips": 526131, "Passenger Paid Fares": 277825, - "Average Fare": 0.5280528993729698 + "Average Fare": 0.5280528993729698, + "Average Passengers": 5.061780243918283 }, { "NTD ID": 90201, @@ -12433,7 +13436,8 @@ "All Fuels (Wh/pkm)": 573.152452272186, "Unlinked Passenger Trips": 9313, "Passenger Paid Fares": 13039, - "Average Fare": 1.4000859014281113 + "Average Fare": 1.4000859014281113, + "Average Passengers": 1.7161886773696506 }, { "NTD ID": 90201, @@ -12447,7 +13451,8 @@ "All Fuels (Wh/pkm)": 1542.6178717404223, "Unlinked Passenger Trips": 185410, "Passenger Paid Fares": 97177, - "Average Fare": 0.5241195189040505 + "Average Fare": 0.5241195189040505, + "Average Passengers": 2.2561516961692334 }, { "NTD ID": 90205, @@ -12459,7 +13464,8 @@ "All Fuels (Wh/pkm)": 1022.5882053224692, "Unlinked Passenger Trips": 15581, "Passenger Paid Fares": 70202, - "Average Fare": 4.5056158141325975 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ID": 90211, @@ -12561,7 +13574,8 @@ "All Fuels (Wh/pkm)": 921.5656714400087, "Unlinked Passenger Trips": 6076981, "Passenger Paid Fares": 3253291, - "Average Fare": 0.5353465808104386 + "Average Fare": 0.5353465808104386, + "Average Passengers": 12.053456137743222 }, { "NTD ID": 90213, @@ -12573,7 +13587,8 @@ "All Fuels (Wh/pkm)": 4263.511474865944, "Unlinked Passenger Trips": 11802, "Passenger Paid Fares": 28371, - "Average Fare": 2.403914590747331 + "Average Fare": 2.403914590747331, + "Average Passengers": 0.8183226056235783 }, { "NTD ID": 90213, @@ -12585,7 +13600,8 @@ "All Fuels (Wh/pkm)": 1588.654232038737, "Unlinked Passenger Trips": 262219, "Passenger Paid Fares": 132541, - "Average Fare": 0.5054591772526018 + "Average Fare": 0.5054591772526018, + "Average Passengers": 2.8691229078829688 }, { "NTD ID": 90214, @@ -12593,7 +13609,8 @@ "UACE Code": "51445", "Unlinked Passenger Trips": 10317, "Passenger Paid Fares": 8860, - "Average Fare": 0.8587767761946302 + "Average Fare": 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630372, - "Average Fare": 0.30048993857415385 + "Average Fare": 0.30048993857415385, + "Average Passengers": 8.529234570089626 }, { "NTD ID": 90219, @@ -12645,7 +13666,8 @@ "UACE Code": "29818", "Unlinked Passenger Trips": 8922, "Passenger Paid Fares": 46601, - "Average Fare": 5.223156242994844 + "Average Fare": 5.223156242994844, + "Average Passengers": 4.065503199534613 }, { "NTD ID": 90222, @@ -12657,7 +13679,8 @@ "All Fuels (Wh/pkm)": 891.8233672725653, "Unlinked Passenger Trips": 49467, "Passenger Paid Fares": 288117, - "Average Fare": 5.824428406816666 + "Average Fare": 5.824428406816666, + "Average Passengers": 5.908422911425395 }, { "NTD ID": 90223, @@ -12671,7 +13694,8 @@ "All Fuels (Wh/pkm)": 1891.6489350534273, "Unlinked Passenger Trips": 333564, "Passenger Paid Fares": 1340333, - "Average Fare": 4.018218392872132 + "Average Fare": 4.018218392872132, + "Average Passengers": 0.9822697541611957 }, { "NTD ID": 90225, @@ -12683,7 +13707,8 @@ "All Fuels (Wh/pkm)": 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Passengers": 11.286994322291074 }, { "NTD ID": 90232, @@ -12735,7 +13763,8 @@ "All Fuels (Wh/pkm)": 203.88742991693317, "Unlinked Passenger Trips": 547846, "Passenger Paid Fares": 1832972, - "Average Fare": 3.3457796534062494 + "Average Fare": 3.3457796534062494, + "Average Passengers": 8.922493661644026 }, { "NTD ID": 90232, @@ -12747,7 +13776,8 @@ "All Fuels (Wh/pkm)": 3762.1378938737316, "Unlinked Passenger Trips": 25293, "Passenger Paid Fares": 71722, - "Average Fare": 2.835646226228601 + "Average Fare": 2.835646226228601, + "Average Passengers": 0.7921817574340126 }, { "NTD ID": 90232, @@ -12761,7 +13791,8 @@ "All Fuels (Wh/pkm)": 1817.4029393418625, "Unlinked Passenger Trips": 523462, "Passenger Paid Fares": 554279, - "Average Fare": 1.0588715131184308 + "Average Fare": 1.0588715131184308, + "Average Passengers": 2.281132046379672 }, { "NTD ID": 90233, @@ -12775,7 +13806,8 @@ "All Fuels (Wh/pkm)": 1097.7700474816666, "Unlinked Passenger Trips": 376181, "Passenger Paid Fares": 310377, - "Average Fare": 0.8250735683088726 + "Average Fare": 0.8250735683088726, + "Average Passengers": 4.929771720342519 }, { "NTD ID": 90233, @@ -12783,7 +13815,8 @@ "UACE Code": "98020", "Unlinked Passenger Trips": 68423, "Passenger Paid Fares": 398013, - "Average Fare": 5.8169475176475745 + "Average Fare": 5.8169475176475745, + "Average Passengers": 4.846924028680669 }, { "NTD ID": 90234, @@ -12795,7 +13828,8 @@ "All Fuels (Wh/pkm)": 2915.1810329437535, "Unlinked Passenger Trips": 86049, "Passenger Paid Fares": 232870, - "Average Fare": 2.706248765238411 + "Average Fare": 2.706248765238411, + "Average Passengers": 0.8381326556155678 }, { "NTD ID": 90234, @@ -12811,7 +13845,8 @@ "All Fuels (Wh/pkm)": 982.3765012499263, "Unlinked Passenger Trips": 2423027, "Passenger Paid Fares": 2037793, - "Average Fare": 0.8410112640098522 + "Average Fare": 0.8410112640098522, + "Average Passengers": 5.225039173501362 }, { "NTD ID": 90241, @@ -12825,7 +13860,8 @@ "All Fuels (Wh/pkm)": 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Passengers": 2.7200088461518366 }, { "NTD ID": 90299, @@ -12877,7 +13916,8 @@ "All Fuels (Wh/pkm)": 209.72986998415095, "Unlinked Passenger Trips": 567103, "Passenger Paid Fares": 3090457, - "Average Fare": 5.449551492409668 + "Average Fare": 5.449551492409668, + "Average Passengers": 34.694373427794034 }, { "NTD ID": 90302, @@ -12889,7 +13929,8 @@ "All Fuels (Wh/pkm)": 449.58850068457605, "Unlinked Passenger Trips": 109728, "Passenger Paid Fares": 644666, - "Average Fare": 5.875127588218139 + "Average Fare": 5.875127588218139, + "Average Passengers": 4.65106089352973 }, { "NTD ID": 99422, @@ -12901,7 +13942,8 @@ "All Fuels (Wh/pkm)": 610.1568479918329, "Unlinked Passenger Trips": 295489, "Passenger Paid Fares": 1749157, - "Average Fare": 5.9195333836454145 + "Average Fare": 5.9195333836454145, + "Average Passengers": 5.350328274634844 }, { "NTD ID": 99423, @@ -12913,7 +13955,8 @@ "All Fuels (Wh/pkm)": 1789.1122504107027, "Unlinked Passenger Trips": 33158, "Passenger Paid Fares": 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a/src/emcommon/resources/ntd2021_intensities.json b/src/emcommon/resources/ntd2021_intensities.json index 82cfa30..2f2c0c1 100644 --- a/src/emcommon/resources/ntd2021_intensities.json +++ b/src/emcommon/resources/ntd2021_intensities.json @@ -13,7 +13,8 @@ "All Fuels (Wh/pkm)": 2905.8861936495678, "Unlinked Passenger Trips": 557048, "Passenger Paid Fares": 810178, - "Average Fare": 1.4544132642070342 + "Average Fare": 1.4544132642070342, + "Average Passengers": 0.967037102019429 }, { "NTD ID": 1, @@ -25,7 +26,8 @@ "All Fuels (Wh/pkm)": 4414.309614958349, "Unlinked Passenger Trips": 286843, "Passenger Paid Fares": 1091633, - "Average Fare": 3.8056811565908877 + "Average Fare": 3.8056811565908877, + "Average Passengers": 19.839011409910093 }, { "NTD ID": 1, @@ -41,7 +43,8 @@ "All Fuels (Wh/pkm)": 1101.4954630356856, "Unlinked Passenger Trips": 42536203, "Passenger Paid Fares": 23018242, - "Average Fare": 0.5411447279391628 + "Average Fare": 0.5411447279391628, + "Average Passengers": 4.538993866640686 }, { "NTD ID": 1, @@ -53,7 +56,8 @@ "All Fuels (Wh/pkm)": 1326.8502967073478, "Unlinked Passenger Trips": 829953, "Passenger Paid Fares": 159275, - "Average Fare": 0.1919084574668686 + "Average Fare": 0.1919084574668686, + "Average Passengers": 5.1199057338373235 }, { "NTD ID": 1, @@ -65,7 +69,8 @@ "All Fuels (Wh/pkm)": 673.7636583804046, "Unlinked Passenger Trips": 7976186, "Passenger Paid Fares": 4320604, - "Average Fare": 0.5416879696636964 + "Average Fare": 0.5416879696636964, + "Average Passengers": 4.99868494666283 }, { "NTD ID": 1, @@ -77,7 +82,8 @@ "All Fuels (Wh/pkm)": 410.5003710715117, "Unlinked Passenger Trips": 512160, "Passenger Paid Fares": 744219, - "Average Fare": 1.453098641049672 + "Average Fare": 1.453098641049672, + "Average Passengers": 3.2311997767532357 }, { "NTD ID": 2, @@ -92,7 +98,8 @@ "All Fuels (Wh/pkm)": 2495.5716279217067, "Unlinked Passenger Trips": 252201, "Passenger Paid Fares": 475663, - "Average Fare": 1.8860472400981756 + "Average Fare": 1.8860472400981756, + "Average Passengers": 0.8963567951468379 }, { "NTD ID": 2, @@ -106,7 +113,8 @@ "All Fuels (Wh/pkm)": 1288.8021326523376, "Unlinked Passenger Trips": 5238135, "Passenger Paid Fares": 5097169, - "Average Fare": 0.9730885133735576 + "Average Fare": 0.9730885133735576, + "Average Passengers": 3.269465495262054 }, { "NTD ID": 2, @@ -118,7 +126,8 @@ "All Fuels (Wh/pkm)": 400.49283492168985, "Unlinked Passenger Trips": 70298, "Passenger Paid Fares": 197371, - "Average Fare": 2.8076332185837436 + "Average Fare": 2.8076332185837436, + "Average Passengers": 2.9030926247233957 }, { "NTD ID": 3, @@ -132,7 +141,8 @@ "All Fuels (Wh/pkm)": 3660.6408838452876, "Unlinked Passenger Trips": 163024, "Passenger Paid Fares": 204661, - "Average Fare": 1.255404112277947 + "Average Fare": 1.255404112277947, + "Average Passengers": 0.7868943449197692 }, { "NTD ID": 3, @@ -148,7 +158,8 @@ "All Fuels (Wh/pkm)": 510.2636587570521, "Unlinked Passenger Trips": 4363241, "Passenger Paid Fares": 4423976, - "Average Fare": 1.0139196986826995 + "Average Fare": 1.0139196986826995, + "Average Passengers": 3.4822366897472006 }, { "NTD ID": 3, @@ -160,7 +171,8 @@ "All Fuels (Wh/pkm)": 348.2422939614159, "Unlinked Passenger Trips": 323089, "Passenger Paid Fares": 1321152, - "Average Fare": 4.089127144532931 + "Average Fare": 4.089127144532931, + "Average Passengers": 3.826279177065851 }, { "NTD ID": 5, @@ -172,7 +184,8 @@ "All Fuels (Wh/pkm)": 4751.760577979322, "Unlinked Passenger Trips": 51780, "Passenger Paid Fares": 92388, - "Average Fare": 1.7842410196987253 + "Average Fare": 1.7842410196987253, + "Average Passengers": 0.6950345652951807 }, { "NTD ID": 5, @@ -186,7 +199,8 @@ "All Fuels (Wh/pkm)": 1792.540258640537, "Unlinked Passenger Trips": 761882, "Passenger Paid Fares": 571997, - "Average Fare": 0.7507684917086898 + "Average Fare": 0.7507684917086898, + "Average Passengers": 2.5890314616441996 }, { "NTD ID": 6, @@ -198,7 +212,8 @@ "All Fuels (Wh/pkm)": 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ID": 7, @@ -250,7 +268,8 @@ "All Fuels (Wh/pkm)": 982.8259280291106, "Unlinked Passenger Trips": 2195014, "Passenger Paid Fares": 309170, - "Average Fare": 0.14085103785215036 + "Average Fare": 0.14085103785215036, + "Average Passengers": 4.876595985165628 }, { "NTD ID": 7, @@ -262,7 +281,8 @@ "All Fuels (Wh/pkm)": 1069.036862428893, "Unlinked Passenger Trips": 1807241, "Passenger Paid Fares": 276379, - "Average Fare": 0.15292869075015453 + "Average Fare": 0.15292869075015453, + "Average Passengers": 6.7506406380265975 }, { "NTD ID": 7, @@ -270,7 +290,8 @@ "UACE Code": "28117", "Unlinked Passenger Trips": 2726, "Passenger Paid Fares": 34916, - "Average Fare": 12.808510638297872 + "Average Fare": 12.808510638297872, + "Average Passengers": 2.5432620106166266 }, { "NTD ID": 8, @@ -282,7 +303,8 @@ "All Fuels (Wh/pkm)": 2791.221588362783, "Unlinked Passenger Trips": 268316, "Passenger Paid Fares": 1021319, - "Average Fare": 3.806403643465168 + "Average Fare": 3.806403643465168, + "Average Passengers": 0.698867661723464 }, { "NTD ID": 8, @@ -294,7 +316,8 @@ "All Fuels (Wh/pkm)": 199.18281047534282, "Unlinked Passenger Trips": 14817505, "Passenger Paid Fares": 11012354, - "Average Fare": 0.7431989393625985 + "Average Fare": 0.7431989393625985, + "Average Passengers": 18.557695101372477 }, { "NTD ID": 8, @@ -308,7 +331,8 @@ "All Fuels (Wh/pkm)": 1037.6419321801266, "Unlinked Passenger Trips": 25137970, "Passenger Paid Fares": 17050869, - "Average Fare": 0.678291405391923 + "Average Fare": 0.678291405391923, + "Average Passengers": 4.090998417154606 }, { "NTD ID": 8, @@ -316,7 +340,8 @@ "UACE Code": "71317", "Unlinked Passenger Trips": 84742, "Passenger Paid Fares": 44018, - "Average Fare": 0.5194354629345543 + "Average Fare": 0.5194354629345543, + "Average Passengers": 8.973251383892421 }, { "NTD ID": 11, @@ -332,7 +357,8 @@ "All Fuels (Wh/pkm)": 555.83185951845, "Unlinked Passenger Trips": 95260, "Passenger Paid Fares": 57962, - "Average Fare": 0.6084610539575898 + "Average Fare": 0.6084610539575898, + "Average Passengers": 0.7692431960564323 }, { "NTD ID": 11, @@ -346,7 +372,8 @@ "All Fuels (Wh/pkm)": 623.996708517534, "Unlinked Passenger Trips": 829122, "Passenger Paid Fares": 388095, - "Average Fare": 0.46807948649294073 + "Average Fare": 0.46807948649294073, + "Average Passengers": 2.3878896107126155 }, { "NTD ID": 12, @@ -358,7 +385,8 @@ "All Fuels (Wh/pkm)": 595.9557151318066, "Unlinked Passenger Trips": 89838, "Passenger Paid Fares": 201279, - "Average Fare": 2.2404661724437323 + "Average Fare": 2.2404661724437323, + "Average Passengers": 0.8274994802920443 }, { "NTD ID": 12, @@ -372,7 +400,8 @@ "All Fuels (Wh/pkm)": 1337.3619972243475, "Unlinked Passenger Trips": 1953114, "Passenger Paid Fares": 2301007, - "Average Fare": 1.1781222191843383 + "Average Fare": 1.1781222191843383, + "Average Passengers": 3.695465800003283 }, { "NTD ID": 12, @@ -384,7 +413,8 @@ "All Fuels (Wh/pkm)": 244.67971366650764, "Unlinked Passenger Trips": 150954, "Passenger Paid Fares": 1093247, - "Average Fare": 7.242252606754375 + "Average Fare": 7.242252606754375, + "Average Passengers": 4.81998083799972 }, { "NTD ID": 16, @@ -397,7 +427,8 @@ "All Fuels (Wh/pkm)": 6939.647514866214, "Unlinked Passenger Trips": 26071, "Passenger Paid Fares": 14880, - "Average Fare": 0.5707491082045184 + "Average Fare": 0.5707491082045184, + "Average Passengers": 0.6207769211483013 }, { "NTD ID": 16, @@ -409,7 +440,8 @@ "All Fuels (Wh/pkm)": 1907.2259610417873, "Unlinked Passenger Trips": 169320, "Passenger Paid Fares": 57400, - "Average Fare": 0.33900307110796124 + "Average Fare": 0.33900307110796124, + "Average Passengers": 2.3603507285113596 }, { "NTD ID": 18, @@ -421,7 +453,8 @@ "All Fuels (Wh/pkm)": 2662.628107274397, "Unlinked Passenger Trips": 228174, "Passenger Paid Fares": 26079, - "Average Fare": 0.114294354308554 + "Average Fare": 0.114294354308554, + "Average Passengers": 0.7611320982620018 }, { "NTD ID": 18, @@ -433,7 +466,8 @@ "All Fuels (Wh/pkm)": 2380.280726779828, "Unlinked Passenger Trips": 1415305, "Passenger Paid Fares": 104354, - "Average Fare": 0.07373251701929973 + "Average Fare": 0.07373251701929973, + "Average Passengers": 1.775975172733643 }, { "NTD ID": 18, @@ -445,7 +479,8 @@ "All Fuels (Wh/pkm)": 316.19081517858757, "Unlinked Passenger Trips": 153560, "Passenger Paid Fares": 531944, - "Average Fare": 3.4640791872883563 + "Average Fare": 3.4640791872883563, + "Average Passengers": 4.746676007737383 }, { "NTD ID": 19, @@ -455,7 +490,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 27.934481645061393, "All Fuels (Wh/pkm)": 27.934481645061393, - "Unlinked Passenger Trips": 33157 + "Unlinked Passenger Trips": 33157, + "Average Passengers": 6.9780880880880884 }, { "NTD ID": 19, @@ -468,7 +504,8 @@ "Gasoline (Wh/pkm)": 4171.9675284866025, "Diesel (Wh/pkm)": 3267.885858619756, "All Fuels (Wh/pkm)": 3766.151414815327, - "Unlinked Passenger Trips": 115286 + "Unlinked Passenger Trips": 115286, + "Average Passengers": 0.7349405788358693 }, { "NTD ID": 19, @@ -478,7 +515,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1930.889788271108, "All Fuels (Wh/pkm)": 1930.889788271108, - "Unlinked Passenger Trips": 2287878 + "Unlinked Passenger Trips": 2287878, + "Average Passengers": 3.7596611671138187 }, { "NTD ID": 19, @@ -490,7 +528,8 @@ "All Fuels (Wh/pkm)": 272.80835700700504, "Unlinked Passenger Trips": 178904, "Passenger Paid Fares": 301631, - "Average Fare": 1.6859936055090998 + "Average Fare": 1.6859936055090998, + "Average Passengers": 4.302967713351854 }, { "NTD ID": 20, @@ -505,7 +544,8 @@ "All Fuels (Wh/pkm)": 2857.973305672183, "Unlinked Passenger Trips": 153020, "Passenger Paid Fares": 160240, - "Average Fare": 1.0471833747222585 + "Average Fare": 1.0471833747222585, + "Average Passengers": 0.9464901748944816 }, { "NTD ID": 20, @@ -517,7 +557,8 @@ "All Fuels (Wh/pkm)": 7618.136495079738, "Unlinked Passenger Trips": 562589, "Passenger Paid Fares": 2098269, - "Average Fare": 3.729665883975691 + "Average Fare": 3.729665883975691, + "Average Passengers": 21.019927855523047 }, { "NTD ID": 20, @@ -531,7 +572,8 @@ "All Fuels (Wh/pkm)": 1979.809126795923, "Unlinked Passenger Trips": 946001, "Passenger Paid Fares": 1889919, - "Average Fare": 1.997798099579176 + "Average Fare": 1.997798099579176, + "Average Passengers": 2.0273643182671717 }, { "NTD ID": 20, @@ -543,7 +585,8 @@ "All Fuels (Wh/pkm)": 366.17959243998405, "Unlinked Passenger Trips": 63723, "Passenger Paid Fares": 134449, - "Average Fare": 2.1098975252263705 + "Average Fare": 2.1098975252263705, + "Average Passengers": 3.5168820376220404 }, { "NTD ID": 21, @@ -556,7 +599,8 @@ "All Fuels (Wh/pkm)": 4299.843854228736, "Unlinked Passenger Trips": 134308, "Passenger Paid Fares": 38926, - "Average Fare": 0.28982636924084937 + "Average Fare": 0.28982636924084937, + "Average Passengers": 0.7767695365547433 }, { "NTD ID": 21, @@ -570,7 +614,8 @@ "All Fuels (Wh/pkm)": 1836.3884369109458, "Unlinked Passenger Trips": 1714220, "Passenger Paid Fares": 399826, - "Average Fare": 0.23324077422967882 + "Average Fare": 0.23324077422967882, + "Average Passengers": 2.6200229634674344 }, { "NTD ID": 21, @@ -582,7 +627,8 @@ "All Fuels (Wh/pkm)": 290.8318245751959, "Unlinked Passenger Trips": 15874, "Passenger Paid Fares": 55273, - "Average Fare": 3.481983117046743 + "Average Fare": 3.481983117046743, + "Average Passengers": 4.683074409921323 }, { "NTD ID": 23, @@ -594,7 +640,8 @@ "All Fuels (Wh/pkm)": 67.41479606912868, "Unlinked Passenger Trips": 666872, "Passenger Paid Fares": 1775653, - "Average Fare": 2.6626594009045212 + "Average Fare": 2.6626594009045212, + "Average Passengers": 21.195966944483686 }, { "NTD ID": 24, @@ -606,7 +653,8 @@ "All Fuels (Wh/pkm)": 2256.3414661952943, "Unlinked Passenger Trips": 124066, "Passenger Paid Fares": 167678, - "Average Fare": 1.3515225766930505 + "Average Fare": 1.3515225766930505, + "Average Passengers": 0.8843036037880925 }, { "NTD ID": 24, @@ -620,7 +668,8 @@ "All Fuels (Wh/pkm)": 997.1599672390864, "Unlinked Passenger Trips": 3314833, "Passenger Paid Fares": 2504528, - "Average Fare": 0.7555517879784592 + "Average Fare": 0.7555517879784592, + "Average Passengers": 3.8569146884235566 }, { "NTD ID": 24, @@ -632,7 +681,8 @@ "All Fuels (Wh/pkm)": 303.0984814474875, "Unlinked Passenger Trips": 20666, "Passenger Paid Fares": 106945, - "Average Fare": 5.174924997580567 + "Average Fare": 5.174924997580567, + "Average Passengers": 3.413457933915279 }, { "NTD ID": 25, @@ -644,7 +694,8 @@ "Gasoline (Wh/pkm)": 2289.948810837003, "Diesel (Wh/pkm)": 294.9411640396745, "All Fuels (Wh/pkm)": 1882.830697274294, - "Unlinked Passenger Trips": 58208 + "Unlinked Passenger Trips": 58208, + "Average Passengers": 0.6244809326858188 }, { "NTD ID": 25, @@ -656,7 +707,8 @@ "Diesel (Wh/pkm)": 2670.9585839296883, "CNG (Wh/pkm)": 588.8984980514072, "All Fuels (Wh/pkm)": 1459.721762345081, - "Unlinked Passenger Trips": 1775831 + "Unlinked Passenger Trips": 1775831, + "Average Passengers": 2.124898019134812 }, { "NTD ID": 25, @@ -668,7 +720,8 @@ "All Fuels (Wh/pkm)": 618.1291729581567, "Unlinked Passenger Trips": 22514, "Passenger Paid Fares": 150891, - "Average Fare": 6.702096473305499 + "Average Fare": 6.702096473305499, + "Average Passengers": 2.8925580797931625 }, { "NTD ID": 28, @@ -680,7 +733,8 @@ "All Fuels (Wh/pkm)": 2365.9116271044495, "Unlinked Passenger Trips": 450737, "Passenger Paid Fares": 2912305, - "Average Fare": 6.461206867863077 + "Average Fare": 6.461206867863077, + "Average Passengers": 40.1918802449535 }, { "NTD ID": 29, @@ -692,7 +746,8 @@ "All Fuels (Wh/pkm)": 1169.5835888946367, "Unlinked Passenger Trips": 561259, "Passenger Paid Fares": 1972805, - "Average Fare": 3.5149636798697212 + "Average Fare": 3.5149636798697212, + "Average Passengers": 2.5469458248635783 }, { "NTD ID": 29, @@ -705,7 +760,8 @@ "All Fuels (Wh/pkm)": 4320.253342359378, "Unlinked Passenger Trips": 85059, "Passenger Paid Fares": 216972, - "Average Fare": 2.5508411808274256 + "Average Fare": 2.5508411808274256, + "Average Passengers": 0.7099534754744886 }, { "NTD ID": 29, @@ -717,7 +773,8 @@ "All Fuels (Wh/pkm)": 1644.424198156967, "Unlinked Passenger Trips": 4000232, "Passenger Paid Fares": 3008734, - "Average Fare": 0.7521398758871986 + "Average Fare": 0.7521398758871986, + "Average Passengers": 3.328666355727545 }, { "NTD ID": 29, @@ -729,7 +786,8 @@ "All Fuels (Wh/pkm)": 310.1095970894004, "Unlinked Passenger Trips": 227847, "Passenger Paid Fares": 618804, - "Average Fare": 2.715875126729779 + "Average Fare": 2.715875126729779, + "Average Passengers": 3.311207043668978 }, { "NTD ID": 34, @@ -741,7 +799,8 @@ "All Fuels (Wh/pkm)": 2706.5895700307105, "Unlinked Passenger Trips": 34233, "Passenger Paid Fares": 81837, - "Average Fare": 2.390588029094733 + "Average Fare": 2.390588029094733, + "Average Passengers": 0.5910018045766886 }, { "NTD ID": 34, @@ -755,7 +814,8 @@ "All Fuels (Wh/pkm)": 662.1767791377395, "Unlinked Passenger Trips": 571844, "Passenger Paid Fares": 676054, - "Average Fare": 1.1822350151439902 + "Average Fare": 1.1822350151439902, + "Average Passengers": 2.780770799418554 }, { "NTD ID": 35, @@ -767,7 +827,8 @@ "All Fuels (Wh/pkm)": 3310.5661085096235, "Unlinked Passenger Trips": 15326725, "Passenger Paid Fares": 50180520, - "Average Fare": 3.274053654645725 + "Average Fare": 3.274053654645725, + "Average Passengers": 139.60112378409505 }, { "NTD ID": 40, @@ -781,7 +842,8 @@ "All Fuels (Wh/pkm)": 889.4595266525575, "Unlinked Passenger Trips": 5146374, "Passenger Paid Fares": 4959629, - "Average Fare": 0.9637132862866166 + "Average Fare": 0.9637132862866166, + "Average Passengers": 5.301434137790588 }, { "NTD ID": 40, @@ -793,7 +855,8 @@ "All Fuels (Wh/pkm)": 646.7817486542981, "Unlinked Passenger Trips": 734481, "Passenger Paid Fares": 971569, - "Average Fare": 1.3227966414379677 + "Average Fare": 1.3227966414379677, + "Average Passengers": 72.56611240895974 }, { "NTD ID": 40, @@ -805,7 +868,8 @@ "All Fuels (Wh/pkm)": 54.82618304225086, "Unlinked Passenger Trips": 11516117, "Passenger Paid Fares": 8594312, - "Average Fare": 0.7462855752507551 + "Average Fare": 0.7462855752507551, + "Average Passengers": 49.854590343426786 }, { "NTD ID": 40, @@ -815,7 +879,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 706.3585882739435, "All Fuels (Wh/pkm)": 706.3585882739435, - "Unlinked Passenger Trips": 371932 + "Unlinked Passenger Trips": 371932, + "Average Passengers": 4.618994321904346 }, { "NTD ID": 41, @@ -827,7 +892,8 @@ "All Fuels (Wh/pkm)": 55.5096478608623, "Unlinked Passenger Trips": 166263, "Passenger Paid Fares": 19157136, - "Average Fare": 115.22188340159867 + "Average Fare": 115.22188340159867, + "Average Passengers": 163.57670281362422 }, { "NTD ID": 43, @@ -836,7 +902,8 @@ "Other (%)": 37.97957271207979, "All Fuels (%)": 100, "All Fuels (Wh/pkm)": 4908.018070265873, - "Unlinked Passenger Trips": 56234 + "Unlinked Passenger Trips": 56234, + "Average Passengers": 0.5245498104111297 }, { "NTD ID": 43, @@ -850,7 +917,8 @@ "Diesel (Wh/pkm)": 1476.7734280057775, "Electric (Wh/pkm)": 49.89852553500389, "All Fuels (Wh/pkm)": 1065.938114231083, - "Unlinked Passenger Trips": 767640 + "Unlinked Passenger Trips": 767640, + "Average Passengers": 2.6310776182412674 }, { "NTD ID": 44, @@ -862,7 +930,8 @@ "All Fuels (Wh/pkm)": 901.0224109263306, "Unlinked Passenger Trips": 63737, "Passenger Paid Fares": 44749, - "Average Fare": 0.702088268980341 + "Average Fare": 0.702088268980341, + "Average Passengers": 3.718953588315952 }, { "NTD ID": 44, @@ -875,7 +944,8 @@ "All Fuels (Wh/pkm)": 5209.140072562149, "Unlinked Passenger Trips": 42174, "Passenger Paid Fares": 70894, - "Average Fare": 1.6809882866220895 + "Average Fare": 1.6809882866220895, + "Average Passengers": 0.5880006531526277 }, { "NTD ID": 44, @@ -887,7 +957,8 @@ "All Fuels (Wh/pkm)": 3395.722324880852, "Unlinked Passenger Trips": 225406, "Passenger Paid Fares": 184569, - "Average Fare": 0.8188291349830972 + "Average Fare": 0.8188291349830972, + "Average Passengers": 1.1490007479171378 }, { "NTD ID": 44, @@ -899,7 +970,8 @@ "All Fuels (Wh/pkm)": 333.8901666288092, "Unlinked Passenger Trips": 52933, "Passenger Paid Fares": 291568, - "Average Fare": 5.508246273591143 + "Average Fare": 5.508246273591143, + "Average Passengers": 3.9616996817886476 }, { "NTD ID": 46, @@ -913,7 +985,8 @@ "Diesel (Wh/pkm)": 976.5348227666949, "CNG (Wh/pkm)": 105.46147017600393, "All Fuels (Wh/pkm)": 420.92311628630625, - "Unlinked Passenger Trips": 6767 + "Unlinked Passenger Trips": 6767, + "Average Passengers": 0.5413570590535784 }, { "NTD ID": 46, @@ -925,7 +998,8 @@ "Diesel (Wh/pkm)": 2372.0459715591805, "Electric (Wh/pkm)": 1498.2045298635067, "All Fuels (Wh/pkm)": 3463.4637222331985, - "Unlinked Passenger Trips": 103329 + "Unlinked Passenger Trips": 103329, + "Average Passengers": 1.1585565500323496 }, { "NTD ID": 57, @@ -939,7 +1013,8 @@ "All Fuels (Wh/pkm)": 1235.0368161357694, "Unlinked Passenger Trips": 84425, "Passenger Paid Fares": 119138, - "Average Fare": 1.411169677228309 + "Average Fare": 1.411169677228309, + "Average Passengers": 1.9376066034484283 }, { "NTD ID": 57, @@ -949,7 +1024,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 5571.121900046325, "All Fuels (Wh/pkm)": 5571.121900046325, - "Unlinked Passenger Trips": 35121 + "Unlinked Passenger Trips": 35121, + "Average Passengers": 0.5042636938219545 }, { "NTD ID": 57, @@ -961,7 +1037,8 @@ "All Fuels (Wh/pkm)": 1675.004616094951, "Unlinked Passenger Trips": 209978, "Passenger Paid Fares": 14880, - "Average Fare": 0.0708645667641372 + "Average Fare": 0.0708645667641372, + "Average Passengers": 1.7295590391338669 }, { "NTD ID": 58, @@ -973,7 +1050,8 @@ "All Fuels (Wh/pkm)": 675.7490505262678, "Unlinked Passenger Trips": 1564336, "Passenger Paid Fares": 618639, - "Average Fare": 0.3954642736598787 + "Average Fare": 0.3954642736598787, + "Average Passengers": 5.94105116475634 }, { "NTD ID": 376, @@ -985,7 +1063,8 @@ "Gasoline (Wh/pkm)": 641.2239510208204, "Electric (Wh/pkm)": 10.929358823396793, "All Fuels (Wh/pkm)": 635.6073879499249, - "Unlinked Passenger Trips": 76380 + "Unlinked Passenger Trips": 76380, + "Average Passengers": 2.2696598497244143 }, { "NTD ID": 376, @@ -997,7 +1076,8 @@ "All Fuels (Wh/pkm)": 4317.535929642585, "Unlinked Passenger Trips": 61878, "Passenger Paid Fares": 26064, - "Average Fare": 0.42121594104528265 + "Average Fare": 0.42121594104528265, + "Average Passengers": 0.7568765693316974 }, { "NTD ID": 415, @@ -1009,7 +1089,8 @@ "All Fuels (Wh/pkm)": 597.3622350343935, "Unlinked Passenger Trips": 103960, "Passenger Paid Fares": 724328, - "Average Fare": 6.9673720661792995 + "Average Fare": 6.9673720661792995, + "Average Passengers": 3.6038963435621585 }, { "NTD ID": 10001, @@ -1023,7 +1104,8 @@ "All Fuels (Wh/pkm)": 1985.8516684000363, "Unlinked Passenger Trips": 178746, "Passenger Paid Fares": 153025, - "Average Fare": 0.8561030736352142 + "Average Fare": 0.8561030736352142, + "Average Passengers": 1.264995405846957 }, { "NTD ID": 10001, @@ -1035,7 +1117,8 @@ "All Fuels (Wh/pkm)": 1131.5811462046338, "Unlinked Passenger Trips": 7712509, "Passenger Paid Fares": 5441762, - "Average Fare": 0.7055760972207618 + "Average Fare": 0.7055760972207618, + "Average Passengers": 3.733010153406985 }, { "NTD ID": 10001, @@ -1047,7 +1130,8 @@ "All Fuels (Wh/pkm)": 476.32203235730475, "Unlinked Passenger Trips": 76289, "Passenger Paid Fares": 416768, - "Average Fare": 5.463015637903236 + "Average Fare": 5.463015637903236, + "Average Passengers": 4.4544641006251116 }, { "NTD ID": 10003, @@ -1059,7 +1143,8 @@ "All Fuels (Wh/pkm)": 1826.11923376, "Unlinked Passenger Trips": 6995413, "Passenger Paid Fares": 33040564, - "Average Fare": 4.723175600925921 + "Average Fare": 4.723175600925921, + "Average Passengers": 41.41972718826649 }, { "NTD ID": 10003, @@ -1071,7 +1156,8 @@ "All Fuels (Wh/pkm)": 5186.926287439602, "Unlinked Passenger Trips": 758764, "Passenger Paid Fares": 2258209, - "Average Fare": 2.97616782029722 + "Average Fare": 2.97616782029722, + "Average Passengers": 0.4413520389458457 }, { "NTD ID": 10003, @@ -1083,7 +1169,8 @@ "All Fuels (Wh/pkm)": 14475.443980083315, "Unlinked Passenger Trips": 173607, "Passenger Paid Fares": 1398923, - "Average Fare": 8.057987293139101 + "Average Fare": 8.057987293139101, + "Average Passengers": 9.071442166958734 }, { "NTD ID": 10003, @@ -1095,7 +1182,8 @@ "All Fuels (Wh/pkm)": 99.56437147100587, "Unlinked Passenger Trips": 44823236, "Passenger Paid Fares": 68286616, - "Average Fare": 1.523464660159744 + "Average Fare": 1.523464660159744, + "Average Passengers": 46.2110853990189 }, { "NTD ID": 10003, @@ -1107,7 +1195,8 @@ "All Fuels (Wh/pkm)": 362.35228615239566, "Unlinked Passenger Trips": 14774020, "Passenger Paid Fares": 25348280, - "Average Fare": 1.7157334293577509 + "Average Fare": 1.7157334293577509, + "Average Passengers": 14.239861087085455 }, { "NTD ID": 10003, @@ -1123,7 +1212,8 @@ "All Fuels (Wh/pkm)": 902.2942969293449, "Unlinked Passenger Trips": 47812315, "Passenger Paid Fares": 32712119, - "Average Fare": 0.6841776851842459 + "Average Fare": 0.6841776851842459, + "Average Passengers": 5.311865798220882 }, { "NTD ID": 10003, @@ -1134,7 +1224,8 @@ "All Fuels (Wh/pkm)": 1366.781140888867, "Unlinked Passenger Trips": 4780593, "Passenger Paid Fares": 3378001, - "Average Fare": 0.7066071092017245 + "Average Fare": 0.7066071092017245, + "Average Passengers": 6.4691378750100945 }, { "NTD ID": 10003, @@ -1146,7 +1237,8 @@ "All Fuels (Wh/pkm)": 1248.2747015444293, "Unlinked Passenger Trips": 833836, "Passenger Paid Fares": 622495, - "Average Fare": 0.7465436848492989 + "Average Fare": 0.7465436848492989, + "Average Passengers": 4.93065132774836 }, { "NTD ID": 10004, @@ -1158,7 +1250,8 @@ "All Fuels (Wh/pkm)": 3499.4356183003392, "Unlinked Passenger Trips": 61791, "Passenger Paid Fares": 110981, - "Average Fare": 1.7960706251719507 + "Average Fare": 1.7960706251719507, + "Average Passengers": 0.8534698818175883 }, { "NTD ID": 10004, @@ -1170,7 +1263,8 @@ "All Fuels (Wh/pkm)": 766.2997954097946, "Unlinked Passenger Trips": 1147952, "Passenger Paid Fares": 1066602, - "Average Fare": 0.9291346676516091 + "Average Fare": 0.9291346676516091, + "Average Passengers": 6.474958944276605 }, { "NTD ID": 10005, @@ -1182,7 +1276,8 @@ "All Fuels (Wh/pkm)": 4098.935010853042, "Unlinked Passenger Trips": 50765, "Passenger Paid Fares": 68790, - "Average Fare": 1.3550674677435242 + "Average Fare": 1.3550674677435242, + "Average Passengers": 0.6439744317480688 }, { "NTD ID": 10005, @@ -1196,7 +1291,8 @@ "All Fuels (Wh/pkm)": 2284.8637224361964, "Unlinked Passenger Trips": 524541, "Passenger Paid Fares": 460288, - "Average Fare": 0.8775062387878164 + "Average Fare": 0.8775062387878164, + "Average Passengers": 2.0753374975309056 }, { "NTD ID": 10006, @@ -1208,7 +1304,8 @@ "All Fuels (Wh/pkm)": 3766.708160010558, "Unlinked Passenger Trips": 73408, "Passenger Paid Fares": 42945, - "Average Fare": 0.5850179816913688 + "Average Fare": 0.5850179816913688, + "Average Passengers": 0.6979908948523829 }, { "NTD ID": 10006, @@ -1220,7 +1317,8 @@ "All Fuels (Wh/pkm)": 1529.5519001503153, "Unlinked Passenger Trips": 1665868, "Passenger Paid Fares": 276412, - "Average Fare": 0.16592671208042895 + "Average Fare": 0.16592671208042895, + "Average Passengers": 3.1789452536532923 }, { "NTD ID": 10007, @@ -1228,7 +1326,8 @@ "UACE Code": "69778", "Unlinked Passenger Trips": 15044, "Passenger Paid Fares": 46721, - "Average Fare": 3.105623504387131 + "Average Fare": 3.105623504387131, + "Average Passengers": 0.36655024263592245 }, { "NTD ID": 10007, @@ -1242,7 +1341,8 @@ "All Fuels (Wh/pkm)": 1908.6305131313356, "Unlinked Passenger Trips": 327100, "Passenger Paid Fares": 438655, - "Average Fare": 1.3410424946499542 + "Average Fare": 1.3410424946499542, + "Average Passengers": 1.6538025578977718 }, { "NTD ID": 10008, @@ -1254,7 +1354,8 @@ "All Fuels (Wh/pkm)": 4882.353594425453, "Unlinked Passenger Trips": 109449, "Passenger Paid Fares": 276208, - "Average Fare": 2.523622874580855 + "Average Fare": 2.523622874580855, + "Average Passengers": 0.5086536252696638 }, { "NTD ID": 10008, @@ -1270,7 +1371,8 @@ "All Fuels (Wh/pkm)": 1713.9686394489959, "Unlinked Passenger Trips": 3885177, "Passenger Paid Fares": 3013726, - "Average Fare": 0.7756985074296486 + "Average Fare": 0.7756985074296486, + "Average Passengers": 3.1777191743191273 }, { "NTD ID": 10013, @@ -1282,7 +1384,8 @@ "All Fuels (Wh/pkm)": 5846.7290923649225, "Unlinked Passenger Trips": 46370, "Passenger Paid Fares": 71250, - "Average Fare": 1.5365538063403061 + "Average Fare": 1.5365538063403061, + "Average Passengers": 0.5257606108288698 }, { "NTD ID": 10013, @@ -1294,7 +1397,8 @@ "All Fuels (Wh/pkm)": 1882.6776204557143, "Unlinked Passenger Trips": 994873, "Passenger Paid Fares": 605582, - "Average Fare": 0.6087028193548322 + "Average Fare": 0.6087028193548322, + "Average Passengers": 2.351625600963268 }, { "NTD ID": 10014, @@ -1304,7 +1408,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1520.8908468806426, "All Fuels (Wh/pkm)": 1520.8908468806426, - "Unlinked Passenger Trips": 98304 + "Unlinked Passenger Trips": 98304, + "Average Passengers": 0.7510415763774523 }, { "NTD ID": 10014, @@ -1316,7 +1421,8 @@ "Diesel (Wh/pkm)": 1006.5441834251869, "Electric (Wh/pkm)": 576.0679269657562, "All Fuels (Wh/pkm)": 1074.5601491017378, - "Unlinked Passenger Trips": 2196138 + "Unlinked Passenger Trips": 2196138, + "Average Passengers": 4.825339292401055 }, { "NTD ID": 10016, @@ -1330,7 +1436,8 @@ "All Fuels (Wh/pkm)": 873.857612808119, "Unlinked Passenger Trips": 1016885, "Passenger Paid Fares": 1140893, - "Average Fare": 1.121948892942663 + "Average Fare": 1.121948892942663, + "Average Passengers": 4.0368975036598 }, { "NTD ID": 10017, @@ -1344,7 +1451,8 @@ "All Fuels (Wh/pkm)": 4032.814618068636, "Unlinked Passenger Trips": 304343, "Passenger Paid Fares": 789467, - "Average Fare": 2.5940041334941166 + "Average Fare": 2.5940041334941166, + "Average Passengers": 0.6638032859747873 }, { "NTD ID": 10040, @@ -1356,7 +1464,8 @@ "All Fuels (Wh/pkm)": 6855.153261066776, "Unlinked Passenger Trips": 4022, "Passenger Paid Fares": 10342, - "Average Fare": 2.5713575335653904 + "Average Fare": 2.5713575335653904, + "Average Passengers": 0.3106214977075904 }, { "NTD ID": 10040, @@ -1370,7 +1479,8 @@ "All Fuels (Wh/pkm)": 1211.5235960530079, "Unlinked Passenger Trips": 658602, "Passenger Paid Fares": 464404, - "Average Fare": 0.7051360305617049 + "Average Fare": 0.7051360305617049, + "Average Passengers": 3.621386611424863 }, { "NTD ID": 10042, @@ -1382,7 +1492,8 @@ "All Fuels (Wh/pkm)": 3320.8918260500955, "Unlinked Passenger Trips": 32746, "Passenger Paid Fares": 54111, - "Average Fare": 1.6524461002870579 + "Average Fare": 1.6524461002870579, + "Average Passengers": 0.8969673980511739 }, { "NTD ID": 10045, @@ -1394,7 +1505,8 @@ "All Fuels (Wh/pkm)": 3366.837551250991, "Unlinked Passenger Trips": 64747, "Passenger Paid Fares": 71623, - "Average Fare": 1.1061979705623426 + "Average Fare": 1.1061979705623426, + "Average Passengers": 1.496956738124643 }, { "NTD ID": 10045, @@ -1406,7 +1518,8 @@ "All Fuels (Wh/pkm)": 1984.424836236102, "Unlinked Passenger Trips": 114706, "Passenger Paid Fares": 36740, - "Average Fare": 0.32029710738758216 + "Average Fare": 0.32029710738758216, + "Average Passengers": 2.7199982807037655 }, { "NTD ID": 10048, @@ -1418,7 +1531,8 @@ "All Fuels (Wh/pkm)": 1047.3559527851132, "Unlinked Passenger Trips": 8597270, "Passenger Paid Fares": 5502594, - "Average Fare": 0.6400396870169252 + "Average Fare": 0.6400396870169252, + "Average Passengers": 4.448050162190145 }, { "NTD ID": 10048, @@ -1430,7 +1544,8 @@ "All Fuels (Wh/pkm)": 1155.9495635671947, "Unlinked Passenger Trips": 1008631, "Passenger Paid Fares": 446156, - "Average Fare": 0.442338179175536 + "Average Fare": 0.442338179175536, + "Average Passengers": 7.23881086280695 }, { "NTD ID": 10049, @@ -1442,7 +1557,8 @@ "All Fuels (Wh/pkm)": 4826.630991723719, "Unlinked Passenger Trips": 157984, "Passenger Paid Fares": 98546, - "Average Fare": 0.6237720275470934 + "Average Fare": 0.6237720275470934, + "Average Passengers": 0.5847903455672853 }, { "NTD ID": 10050, @@ -1456,7 +1572,8 @@ "All Fuels (Wh/pkm)": 2855.0614009747533, "Unlinked Passenger Trips": 59963, "Passenger Paid Fares": 94883, - "Average Fare": 1.5823591214582327 + "Average Fare": 1.5823591214582327, + "Average Passengers": 0.7623062783520802 }, { "NTD ID": 10050, @@ -1470,7 +1587,8 @@ "All Fuels (Wh/pkm)": 1056.7534523414797, "Unlinked Passenger Trips": 2585384, "Passenger Paid Fares": 1366213, - "Average Fare": 0.5284371683277996 + "Average Fare": 0.5284371683277996, + "Average Passengers": 5.086510732127996 }, { "NTD ID": 10051, @@ -1483,7 +1601,8 @@ "All Fuels (Wh/pkm)": 3924.853334762348, "Unlinked Passenger Trips": 31332, "Passenger Paid Fares": 31879, - "Average Fare": 1.0174581897102004 + "Average Fare": 1.0174581897102004, + "Average Passengers": 0.6298380513337655 }, { "NTD ID": 10051, @@ -1497,7 +1616,8 @@ "All Fuels (Wh/pkm)": 2554.2988860295322, "Unlinked Passenger Trips": 366378, "Passenger Paid Fares": 244137, - "Average Fare": 0.6663527831911304 + "Average Fare": 0.6663527831911304, + "Average Passengers": 2.3485544065384 }, { "NTD ID": 10053, @@ -1509,7 +1629,8 @@ "All Fuels (Wh/pkm)": 4453.387005186985, "Unlinked Passenger Trips": 19062, "Passenger Paid Fares": 21373, - "Average Fare": 1.121235966845032 + "Average Fare": 1.121235966845032, + "Average Passengers": 0.6062166839736933 }, { "NTD ID": 10053, @@ -1523,7 +1644,8 @@ "All Fuels (Wh/pkm)": 2674.497485403679, "Unlinked Passenger Trips": 131228, "Passenger Paid Fares": 45452, - "Average Fare": 0.346359008748133 + "Average Fare": 0.346359008748133, + "Average Passengers": 1.269011265568183 }, { "NTD ID": 10055, @@ -1535,7 +1657,8 @@ "All Fuels (Wh/pkm)": 1499.9429589585964, "Unlinked Passenger Trips": 4962725, "Passenger Paid Fares": 3120495, - "Average Fare": 0.6287866041338176 + "Average Fare": 0.6287866041338176, + "Average Passengers": 3.9299947567785347 }, { "NTD ID": 10056, @@ -1547,7 +1670,8 @@ "All Fuels (Wh/pkm)": 1478.0653695433955, "Unlinked Passenger Trips": 2003543, "Passenger Paid Fares": 1696818, - "Average Fare": 0.8469087012357609 + "Average Fare": 0.8469087012357609, + "Average Passengers": 4.406187776053101 }, { "NTD ID": 10057, @@ -1561,7 +1685,8 @@ "All Fuels (Wh/pkm)": 2956.795231693873, "Unlinked Passenger Trips": 52902, "Passenger Paid Fares": 66166, - "Average Fare": 1.2507277607651885 + "Average Fare": 1.2507277607651885, + "Average Passengers": 0.6648752794624626 }, { "NTD ID": 10057, @@ -1573,7 +1698,8 @@ "All Fuels (Wh/pkm)": 2079.824971767108, "Unlinked Passenger Trips": 803884, "Passenger Paid Fares": 565599, - "Average Fare": 0.7035828552378204 + "Average Fare": 0.7035828552378204, + "Average Passengers": 3.7089266796345184 }, { "NTD ID": 10061, @@ -1585,7 +1711,8 @@ "All Fuels (Wh/pkm)": 1236.6310998743406, "Unlinked Passenger Trips": 294329, "Passenger Paid Fares": 1487729, - "Average Fare": 5.054646331146438 + "Average Fare": 5.054646331146438, + "Average Passengers": 1.8938435133687181 }, { "NTD ID": 10061, @@ -1599,7 +1726,8 @@ "All Fuels (Wh/pkm)": 2371.0481833403815, "Unlinked Passenger Trips": 245422, "Passenger Paid Fares": 229683, - "Average Fare": 0.9358696449381066 + "Average Fare": 0.9358696449381066, + "Average Passengers": 1.3898774048444773 }, { "NTD ID": 10064, @@ -1611,7 +1739,8 @@ "All Fuels (Wh/pkm)": 3266.8737511192744, "Unlinked Passenger Trips": 138665, "Passenger Paid Fares": 222708, - "Average Fare": 1.6060866116179282 + "Average Fare": 1.6060866116179282, + "Average Passengers": 0.5930595046689741 }, { "NTD ID": 10064, @@ -1625,7 +1754,8 @@ "All Fuels (Wh/pkm)": 2848.3675324892124, "Unlinked Passenger Trips": 312763, "Passenger Paid Fares": 272689, - "Average Fare": 0.8718710333383425 + "Average Fare": 0.8718710333383425, + "Average Passengers": 1.13832880477925 }, { "NTD ID": 10066, @@ -1637,7 +1767,8 @@ "Gasoline (Wh/pkm)": 113.13102929733424, "Diesel (Wh/pkm)": 537.2906964135408, "All Fuels (Wh/pkm)": 318.18739456658784, - "Unlinked Passenger Trips": 52080 + "Unlinked Passenger Trips": 52080, + "Average Passengers": 2.2164870856520094 }, { "NTD ID": 10066, @@ -1649,7 +1780,8 @@ "Gasoline (Wh/pkm)": 4415.348562807654, "Diesel (Wh/pkm)": 3554.7463012570893, "All Fuels (Wh/pkm)": 4385.595097792327, - "Unlinked Passenger Trips": 99556 + "Unlinked Passenger Trips": 99556, + "Average Passengers": 0.6509780730924803 }, { "NTD ID": 10066, @@ -1663,7 +1795,8 @@ "Diesel (Wh/pkm)": 1891.0122576872259, "Electric (Wh/pkm)": 455.61871672331563, "All Fuels (Wh/pkm)": 1913.993672377854, - "Unlinked Passenger Trips": 1295220 + "Unlinked Passenger Trips": 1295220, + "Average Passengers": 2.408874702381748 }, { "NTD ID": 10086, @@ -1675,7 +1808,8 @@ "All Fuels (Wh/pkm)": 1860.109989606269, "Unlinked Passenger Trips": 15992, "Passenger Paid Fares": 30973, - "Average Fare": 1.9367808904452226 + "Average Fare": 1.9367808904452226, + "Average Passengers": 0.5034501089233784 }, { "NTD ID": 10086, @@ -1687,7 +1821,8 @@ "All Fuels (Wh/pkm)": 2244.054261438963, "Unlinked Passenger Trips": 227364, "Passenger Paid Fares": 258261, - "Average Fare": 1.135892225682166 + "Average Fare": 1.135892225682166, + "Average Passengers": 2.032166913447301 }, { "NTD ID": 10087, @@ -1695,7 +1830,8 @@ "UACE Code": "61165", "Unlinked Passenger Trips": 9969, "Passenger Paid Fares": 24693, - "Average Fare": 2.4769786337646704 + "Average Fare": 2.4769786337646704, + "Average Passengers": 0.6614595476801121 }, { "NTD ID": 10087, @@ -1709,7 +1845,8 @@ "All Fuels (Wh/pkm)": 806.761089399273, "Unlinked Passenger Trips": 219161, "Passenger Paid Fares": 158089, - "Average Fare": 0.7213372817243944 + "Average Fare": 0.7213372817243944, + "Average Passengers": 2.1405389474046537 }, { "NTD ID": 10088, @@ -1721,7 +1858,8 @@ "All Fuels (Wh/pkm)": 2230.522114812442, "Unlinked Passenger Trips": 893762, "Passenger Paid Fares": 2691594, - "Average Fare": 3.011533271721107 + "Average Fare": 3.011533271721107, + "Average Passengers": 32.28715518288978 }, { "NTD ID": 10098, @@ -1731,7 +1869,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1080.1846016044428, "All Fuels (Wh/pkm)": 2257.492577346203, - "Unlinked Passenger Trips": 8223 + "Unlinked Passenger Trips": 8223, + "Average Passengers": 1.3798131088872687 }, { "NTD ID": 10098, @@ -1743,7 +1882,8 @@ "All Fuels (Wh/pkm)": 5881.828818895563, "Unlinked Passenger Trips": 20803, "Passenger Paid Fares": 16446, - "Average Fare": 0.7905590539825986 + "Average Fare": 0.7905590539825986, + "Average Passengers": 0.7217776302788483 }, { "NTD ID": 10098, @@ -1755,7 +1895,8 @@ "All Fuels (Wh/pkm)": 2546.5092021084633, "Unlinked Passenger Trips": 67325, "Passenger Paid Fares": 125268, - "Average Fare": 1.8606461195692536 + "Average Fare": 1.8606461195692536, + "Average Passengers": 1.3329845818427861 }, { "NTD ID": 10102, @@ -1763,7 +1904,8 @@ "UACE Code": "37243", "Unlinked Passenger Trips": 15651, "Passenger Paid Fares": 18449, - "Average Fare": 1.1787745192000512 + "Average Fare": 1.1787745192000512, + "Average Passengers": 0.9205409359852487 }, { "NTD ID": 10102, @@ -1771,7 +1913,8 @@ "UACE Code": "37243", "Unlinked Passenger Trips": 70611, "Passenger Paid Fares": 390284, - "Average Fare": 5.527240798175922 + "Average Fare": 5.527240798175922, + "Average Passengers": 8.310151233508911 }, { "NTD ID": 10105, @@ -1783,7 +1926,8 @@ "All Fuels (Wh/pkm)": 1713.177849815619, "Unlinked Passenger Trips": 256009, "Passenger Paid Fares": 8314947, - "Average Fare": 32.479119874691904 + "Average Fare": 32.479119874691904, + "Average Passengers": 1.3459071244275145 }, { "NTD ID": 10105, @@ -1797,7 +1941,8 @@ "All Fuels (Wh/pkm)": 827.1862263480176, "Unlinked Passenger Trips": 396854, "Passenger Paid Fares": 462570, - "Average Fare": 1.165592384100954 + "Average Fare": 1.165592384100954, + "Average Passengers": 3.299481199796101 }, { "NTD ID": 10107, @@ -1809,7 +1954,8 @@ "All Fuels (Wh/pkm)": 6242.693245497815, "Unlinked Passenger Trips": 12713, "Passenger Paid Fares": 20383, - "Average Fare": 1.6033194367969794 + "Average Fare": 1.6033194367969794, + "Average Passengers": 0.5254545454545454 }, { "NTD ID": 10107, @@ -1821,7 +1967,8 @@ "All Fuels (Wh/pkm)": 1791.994222251982, "Unlinked Passenger Trips": 157956, "Passenger Paid Fares": 80239, - "Average Fare": 0.5079832358378282 + "Average Fare": 0.5079832358378282, + "Average Passengers": 2.743277160272499 }, { "NTD ID": 10118, @@ -1833,7 +1980,8 @@ "All Fuels (Wh/pkm)": 3133.6981772438403, "Unlinked Passenger Trips": 65763, "Passenger Paid Fares": 2349, - "Average Fare": 0.035719173395374296 + "Average Fare": 0.035719173395374296, + "Average Passengers": 0.5989792051993423 }, { "NTD ID": 10118, @@ -1847,7 +1995,8 @@ "All Fuels (Wh/pkm)": 950.9246770899006, "Unlinked Passenger Trips": 192968, "Passenger Paid Fares": 18598, - "Average Fare": 0.09637867418432072 + "Average Fare": 0.09637867418432072, + "Average Passengers": 0.9790340814449847 }, { "NTD ID": 10128, @@ -1859,7 +2008,8 @@ "All Fuels (Wh/pkm)": 4091.9027417981556, "Unlinked Passenger Trips": 53965, "Passenger Paid Fares": 93437, - "Average Fare": 1.7314370425275643 + "Average Fare": 1.7314370425275643, + "Average Passengers": 0.724879578167308 }, { "NTD ID": 10128, @@ -1871,7 +2021,8 @@ "All Fuels (Wh/pkm)": 2040.057894472875, "Unlinked Passenger Trips": 1426227, "Passenger Paid Fares": 687820, - "Average Fare": 0.48226544582314035 + "Average Fare": 0.48226544582314035, + "Average Passengers": 2.367290889792092 }, { "NTD ID": 10130, @@ -1883,7 +2034,8 @@ "All Fuels (Wh/pkm)": 2233.5399351709266, "Unlinked Passenger Trips": 364034, "Passenger Paid Fares": 208830, - "Average Fare": 0.5736552080300191 + "Average Fare": 0.5736552080300191, + "Average Passengers": 2.501983481671883 }, { "NTD ID": 10183, @@ -1895,7 +2047,8 @@ "All Fuels (Wh/pkm)": 2384.31059783149, "Unlinked Passenger Trips": 2727556, "Passenger Paid Fares": 31213609, - "Average Fare": 11.443801337167779 + "Average Fare": 11.443801337167779, + "Average Passengers": 93.99916461765942 }, { "NTD ID": 10183, @@ -1907,7 +2060,8 @@ "Gasoline (Wh/pkm)": 468.69440828512063, "Diesel (Wh/pkm)": 391.37395246215584, "All Fuels (Wh/pkm)": 401.13804276438935, - "Unlinked Passenger Trips": 772672 + "Unlinked Passenger Trips": 772672, + "Average Passengers": 10.121549039504531 }, { "NTD ID": 11147, @@ -1919,7 +2073,8 @@ "All Fuels (Wh/pkm)": 6661.117317385369, "Unlinked Passenger Trips": 18453, "Passenger Paid Fares": 179003, - "Average Fare": 9.700482306400044 + "Average Fare": 9.700482306400044, + "Average Passengers": 22.204910380881255 }, { "NTD ID": 11238, @@ -1931,7 +2086,8 @@ "All Fuels (Wh/pkm)": 1316.6149537380256, "Unlinked Passenger Trips": 84293, "Passenger Paid Fares": 3949371, - "Average Fare": 46.85289407186836 + "Average Fare": 46.85289407186836, + "Average Passengers": 79.63229308005428 }, { "NTD ID": 11239, @@ -1943,7 +2099,8 @@ "All Fuels (Wh/pkm)": 2121.883171715343, "Unlinked Passenger Trips": 501689, "Passenger Paid Fares": 16704121, - "Average Fare": 33.29576889268053 + "Average Fare": 33.29576889268053, + "Average Passengers": 92.6638500761539 }, { "NTD ID": 20002, @@ -1955,7 +2112,8 @@ "All Fuels (Wh/pkm)": 2063.5080765652406, "Unlinked Passenger Trips": 198358, "Passenger Paid Fares": 327231, - "Average Fare": 1.6496990290283224 + "Average Fare": 1.6496990290283224, + "Average Passengers": 1.416716380672804 }, { "NTD ID": 20002, @@ -1971,7 +2129,8 @@ "All Fuels (Wh/pkm)": 1119.2686471761076, "Unlinked Passenger Trips": 9624619, "Passenger Paid Fares": 5917110, - "Average Fare": 0.6147890113883988 + "Average Fare": 0.6147890113883988, + "Average Passengers": 4.093162014675795 }, { "NTD ID": 20003, @@ -1983,7 +2142,8 @@ "All Fuels (Wh/pkm)": 2906.8669635688325, "Unlinked Passenger Trips": 35961, "Passenger Paid Fares": 78155, - "Average Fare": 2.173326659436612 + "Average Fare": 2.173326659436612, + "Average Passengers": 0.6030259489232138 }, { "NTD ID": 20003, @@ -1995,7 +2155,8 @@ "All Fuels (Wh/pkm)": 1644.8044279141516, "Unlinked Passenger Trips": 958099, "Passenger Paid Fares": 1028267, - "Average Fare": 1.0732366905716424 + "Average Fare": 1.0732366905716424, + "Average Passengers": 2.657116142707157 }, { "NTD ID": 20004, @@ -2011,7 +2172,8 @@ "All Fuels (Wh/pkm)": 3573.794650467586, "Unlinked Passenger Trips": 113603, "Passenger Paid Fares": 274594, - "Average Fare": 2.4171368713854386 + "Average Fare": 2.4171368713854386, + "Average Passengers": 0.6884700197936345 }, { "NTD ID": 20004, @@ -2023,7 +2185,8 @@ "All Fuels (Wh/pkm)": 469.6586119376343, "Unlinked Passenger Trips": 1516008, "Passenger Paid Fares": 785280, - "Average Fare": 0.5179919894881821 + "Average Fare": 0.5179919894881821, + "Average Passengers": 12.223298126321714 }, { "NTD ID": 20004, @@ -2037,7 +2200,8 @@ "All Fuels (Wh/pkm)": 928.5371468996415, "Unlinked Passenger Trips": 9689616, "Passenger Paid Fares": 6920007, - "Average Fare": 0.7141673106550352 + "Average Fare": 0.7141673106550352, + "Average Passengers": 3.458615055697782 }, { "NTD ID": 20006, @@ -2049,7 +2213,8 @@ "All Fuels (Wh/pkm)": 2986.6625989083154, "Unlinked Passenger Trips": 3049, "Passenger Paid Fares": 2278, - "Average Fare": 0.747130206625123 + "Average Fare": 0.747130206625123, + "Average Passengers": 0.9605427107849923 }, { "NTD ID": 20006, @@ -2057,7 +2222,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 74563, "Passenger Paid Fares": 136669, - "Average Fare": 1.832933224253316 + "Average Fare": 1.832933224253316, + "Average Passengers": 1.118209357700635 }, { "NTD ID": 20008, @@ -2069,7 +2235,8 @@ "All Fuels (Wh/pkm)": 1145.997935039156, "Unlinked Passenger Trips": 4985670, "Passenger Paid Fares": 44545403, - "Average Fare": 8.934687414128893 + "Average Fare": 8.934687414128893, + "Average Passengers": 4.934387930068756 }, { "NTD ID": 20008, @@ -2083,7 +2250,8 @@ "All Fuels (Wh/pkm)": 3397.096744429299, "Unlinked Passenger Trips": 2378705, "Passenger Paid Fares": 4385958, - "Average Fare": 1.8438427631841696 + "Average Fare": 1.8438427631841696, + "Average Passengers": 0.7482701393121333 }, { "NTD ID": 20008, @@ -2095,7 +2263,8 @@ "All Fuels (Wh/pkm)": 18.211808169989744, "Unlinked Passenger Trips": 1311224575, "Passenger Paid Fares": 1773543424, - "Average Fare": 1.3525855584273196 + "Average Fare": 1.3525855584273196, + "Average Passengers": 151.25400824783156 }, { "NTD ID": 20008, @@ -2111,7 +2280,8 @@ "All Fuels (Wh/pkm)": 651.4392660601965, "Unlinked Passenger Trips": 393017794, "Passenger Paid Fares": 508641029, - "Average Fare": 1.2941933845366809 + "Average Fare": 1.2941933845366809, + "Average Passengers": 9.963026008514186 }, { "NTD ID": 20008, @@ -2123,7 +2293,8 @@ "All Fuels (Wh/pkm)": 795.6022820198465, "Unlinked Passenger Trips": 15797525, "Passenger Paid Fares": 18641593, - "Average Fare": 1.1800325050917786 + "Average Fare": 1.1800325050917786, + "Average Passengers": 10.19580209033867 }, { "NTD ID": 20010, @@ -2135,7 +2306,8 @@ "All Fuels (Wh/pkm)": 2326.547826444545, "Unlinked Passenger Trips": 19646, "Passenger Paid Fares": 45213, - "Average Fare": 2.301384505751807 + "Average Fare": 2.301384505751807, + "Average Passengers": 0.7265831724041726 }, { "NTD ID": 20010, @@ -2147,7 +2319,8 @@ "All Fuels (Wh/pkm)": 1922.5335568725807, "Unlinked Passenger Trips": 536705, "Passenger Paid Fares": 571746, - "Average Fare": 1.065289125310925 + "Average Fare": 1.065289125310925, + "Average Passengers": 2.4482003860069304 }, { "NTD ID": 20018, @@ -2155,7 +2328,8 @@ "UACE Code": "86302", "Unlinked Passenger Trips": 110219, "Passenger Paid Fares": 206388, - "Average Fare": 1.872526515392083 + "Average Fare": 1.872526515392083, + "Average Passengers": 0.5500782412444779 }, { "NTD ID": 20018, @@ -2169,7 +2343,8 @@ "All Fuels (Wh/pkm)": 1308.9444853051223, "Unlinked Passenger Trips": 3141985, "Passenger Paid Fares": 2450576, - "Average Fare": 0.7799451620551976 + "Average Fare": 0.7799451620551976, + "Average Passengers": 2.1506746497862688 }, { "NTD ID": 20071, @@ -2181,7 +2356,8 @@ "All Fuels (Wh/pkm)": 732.5560336620258, "Unlinked Passenger Trips": 24612, "Passenger Paid Fares": 83140, - "Average Fare": 3.3780269787095727 + "Average Fare": 3.3780269787095727, + "Average Passengers": 1.0272020372960118 }, { "NTD ID": 20071, @@ -2191,7 +2367,8 @@ "Diesel (Wh/pkm)": 4396.055451781632, "Unlinked Passenger Trips": 52774, "Passenger Paid Fares": 63846, - "Average Fare": 1.2098002804411263 + "Average Fare": 1.2098002804411263, + "Average Passengers": 0.6472470673499519 }, { "NTD ID": 20072, @@ -2203,7 +2380,8 @@ "All Fuels (Wh/pkm)": 3759.6962411808286, "Unlinked Passenger Trips": 476435, "Passenger Paid Fares": 1789692, - "Average Fare": 3.7564242761342053 + "Average Fare": 3.7564242761342053, + "Average Passengers": 0.7563067593050191 }, { "NTD ID": 20072, @@ -2217,7 +2395,8 @@ "All Fuels (Wh/pkm)": 1942.2775120294564, "Unlinked Passenger Trips": 2198618, "Passenger Paid Fares": 3225096, - "Average Fare": 1.4668741909690541 + "Average Fare": 1.4668741909690541, + "Average Passengers": 1.9817491296683736 }, { "NTD ID": 20075, @@ -2229,7 +2408,8 @@ "All Fuels (Wh/pkm)": 126.24292458093669, "Unlinked Passenger Trips": 3683090, "Passenger Paid Fares": 8587611, - "Average Fare": 2.331632134973623 + "Average Fare": 2.331632134973623, + "Average Passengers": 34.93678675878631 }, { "NTD ID": 20076, @@ -2241,7 +2421,8 @@ "All Fuels (Wh/pkm)": 2206.665207506484, "Unlinked Passenger Trips": 215343, "Passenger Paid Fares": 975585, - "Average Fare": 4.530377119293406 + "Average Fare": 4.530377119293406, + "Average Passengers": 1.0332561042770798 }, { "NTD ID": 20076, @@ -2253,7 +2434,8 @@ "All Fuels (Wh/pkm)": 857.9005593516913, "Unlinked Passenger Trips": 16426306, "Passenger Paid Fares": 28343171, - "Average Fare": 1.7254744310741563 + "Average Fare": 1.7254744310741563, + "Average Passengers": 6.951460468446125 }, { "NTD ID": 20078, @@ -2266,7 +2448,8 @@ "All Fuels (Wh/pkm)": 82.49952055963517, "Unlinked Passenger Trips": 32254130, "Passenger Paid Fares": 262660371, - "Average Fare": 8.143464759396704 + "Average Fare": 8.143464759396704, + "Average Passengers": 97.86321863101261 }, { "NTD ID": 20078, @@ -2278,7 +2461,8 @@ "All Fuels (Wh/pkm)": 20372.966791130635, "Unlinked Passenger Trips": 16197, "Passenger Paid Fares": 19966, - "Average Fare": 1.2326974131011916 + "Average Fare": 1.2326974131011916, + "Average Passengers": 3.7620379377431905 }, { "NTD ID": 20078, @@ -2286,7 +2470,8 @@ "UACE Code": "63217", "Unlinked Passenger Trips": 90178, "Passenger Paid Fares": 145578, - "Average Fare": 1.6143405265142274 + "Average Fare": 1.6143405265142274, + "Average Passengers": 0.47711128400731223 }, { "NTD ID": 20080, @@ -2301,7 +2486,8 @@ "All Fuels (Wh/pkm)": 357.09592280355514, "Unlinked Passenger Trips": 19096916, "Passenger Paid Fares": 126520842, - "Average Fare": 6.625197597350274 + "Average Fare": 6.625197597350274, + "Average Passengers": 59.98502002150374 }, { "NTD ID": 20080, @@ -2313,7 +2499,8 @@ "All Fuels (Wh/pkm)": 5027.4479480273485, "Unlinked Passenger Trips": 1076206, "Passenger Paid Fares": 1984186, - "Average Fare": 1.8436860601037348 + "Average Fare": 1.8436860601037348, + "Average Passengers": 0.4950900995943244 }, { "NTD ID": 20080, @@ -2325,7 +2512,8 @@ "All Fuels (Wh/pkm)": 360.28438733454266, "Unlinked Passenger Trips": 10430080, "Passenger Paid Fares": 7880300, - "Average Fare": 0.7555359115174572 + "Average Fare": 0.7555359115174572, + "Average Passengers": 21.782600160786025 }, { "NTD ID": 20080, @@ -2339,7 +2527,8 @@ "All Fuels (Wh/pkm)": 992.8301859073471, "Unlinked Passenger Trips": 77504007, "Passenger Paid Fares": 164118728, - "Average Fare": 2.1175515222071035 + "Average Fare": 2.1175515222071035, + "Average Passengers": 5.158876982501977 }, { "NTD ID": 20080, @@ -2351,7 +2540,8 @@ "All Fuels (Wh/pkm)": 431.02147227214084, "Unlinked Passenger Trips": 178708, "Passenger Paid Fares": 770486, - "Average Fare": 4.311424222754438 + "Average Fare": 4.311424222754438, + "Average Passengers": 4.043653829522548 }, { "NTD ID": 20080, @@ -2363,7 +2553,8 @@ "All Fuels (Wh/pkm)": 621.0707072673806, "Unlinked Passenger Trips": 1476118, "Passenger Paid Fares": 855736, - "Average Fare": 0.5797205914432315 + "Average Fare": 0.5797205914432315, + "Average Passengers": 21.248041009959305 }, { "NTD ID": 20082, @@ -2373,7 +2564,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2758.324008594802, "All Fuels (Wh/pkm)": 2758.324008594802, - "Unlinked Passenger Trips": 7561374 + "Unlinked Passenger Trips": 7561374, + "Average Passengers": 212.8557778716125 }, { "NTD ID": 20084, @@ -2383,7 +2575,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 508.7989768035988, "All Fuels (Wh/pkm)": 508.7989768035988, - "Unlinked Passenger Trips": 40350 + "Unlinked Passenger Trips": 40350, + "Average Passengers": 0.772221484283061 }, { "NTD ID": 20084, @@ -2395,7 +2588,8 @@ "Gasoline (Wh/pkm)": 703.2248087053944, "Diesel (Wh/pkm)": 1101.1771263014782, "All Fuels (Wh/pkm)": 1078.614746246903, - "Unlinked Passenger Trips": 1264840 + "Unlinked Passenger Trips": 1264840, + "Average Passengers": 4.23300440931784 }, { "NTD ID": 20096, @@ -2407,7 +2601,8 @@ "All Fuels (Wh/pkm)": 2964.291311400253, "Unlinked Passenger Trips": 9094, "Passenger Paid Fares": 30182, - "Average Fare": 3.3188915768638663 + "Average Fare": 3.3188915768638663, + "Average Passengers": 0.8732610027123983 }, { "NTD ID": 20096, @@ -2419,7 +2614,8 @@ "All Fuels (Wh/pkm)": 2324.723812168222, "Unlinked Passenger Trips": 71421, "Passenger Paid Fares": 108051, - "Average Fare": 1.5128743646826563 + "Average Fare": 1.5128743646826563, + "Average Passengers": 1.183508830809246 }, { "NTD ID": 20098, @@ -2431,7 +2627,8 @@ "All Fuels (Wh/pkm)": 49.436920872242865, "Unlinked Passenger Trips": 32073673, "Passenger Paid Fares": 77447637, - "Average Fare": 2.414679385176746 + "Average Fare": 2.414679385176746, + "Average Passengers": 92.16197044154677 }, { "NTD ID": 20099, @@ -2443,7 +2640,8 @@ "All Fuels (Wh/pkm)": 220.53159829973117, "Unlinked Passenger Trips": 2776302, "Passenger Paid Fares": 2514458, - "Average Fare": 0.9056860528861773 + "Average Fare": 0.9056860528861773, + "Average Passengers": 26.326977929415484 }, { "NTD ID": 20100, @@ -2458,7 +2656,8 @@ "All Fuels (Wh/pkm)": 40.16944323328187, "Unlinked Passenger Trips": 49167557, "Passenger Paid Fares": 295754559, - "Average Fare": 6.015238035926821 + "Average Fare": 6.015238035926821, + "Average Passengers": 192.8222839703101 }, { "NTD ID": 20113, @@ -2470,7 +2669,8 @@ "All Fuels (Wh/pkm)": 5855.296735581155, "Unlinked Passenger Trips": 121505, "Passenger Paid Fares": 164634, - "Average Fare": 1.354956586148718 + "Average Fare": 1.354956586148718, + "Average Passengers": 0.5732319896107693 }, { "NTD ID": 20113, @@ -2484,7 +2684,8 @@ "All Fuels (Wh/pkm)": 1178.5629170272916, "Unlinked Passenger Trips": 7337039, "Passenger Paid Fares": 3506573, - "Average Fare": 0.47792753997900245 + "Average Fare": 0.47792753997900245, + "Average Passengers": 4.399869594660831 }, { "NTD ID": 20113, @@ -2496,7 +2697,8 @@ "All Fuels (Wh/pkm)": 213.19383281744985, "Unlinked Passenger Trips": 10215, "Passenger Paid Fares": 28875, - "Average Fare": 2.826725403817915 + "Average Fare": 2.826725403817915, + "Average Passengers": 5.576841155234657 }, { "NTD ID": 20122, @@ -2508,7 +2710,8 @@ "All Fuels (Wh/pkm)": 294.47011110743864, "Unlinked Passenger Trips": 635152, "Passenger Paid Fares": 10231304, - "Average Fare": 16.10843388669169 + "Average Fare": 16.10843388669169, + "Average Passengers": 14.772590830076215 }, { "NTD ID": 20126, @@ -2520,7 +2723,8 @@ "All Fuels (Wh/pkm)": 291.3321063532423, "Unlinked Passenger Trips": 834360, "Passenger Paid Fares": 9276129, - "Average Fare": 11.117657845534302 + "Average Fare": 11.117657845534302, + "Average Passengers": 13.67548877300439 }, { "NTD ID": 20128, @@ -2532,7 +2736,8 @@ "All Fuels (Wh/pkm)": 260.8536817157199, "Unlinked Passenger Trips": 344701, "Passenger Paid Fares": 4006934, - "Average Fare": 11.624375908395972 + "Average Fare": 11.624375908395972, + "Average Passengers": 16.31775725716104 }, { "NTD ID": 20135, @@ -2544,7 +2749,8 @@ "All Fuels (Wh/pkm)": 352.7494712357417, "Unlinked Passenger Trips": 428685, "Passenger Paid Fares": 3220452, - "Average Fare": 7.512397214738094 + "Average Fare": 7.512397214738094, + "Average Passengers": 22.615930214628943 }, { "NTD ID": 20145, @@ -2558,7 +2764,8 @@ "All Fuels (Wh/pkm)": 1080.7377008175229, "Unlinked Passenger Trips": 2087513, "Passenger Paid Fares": 597420, - "Average Fare": 0.28618743931175517 + "Average Fare": 0.28618743931175517, + "Average Passengers": 4.58380483426515 }, { "NTD ID": 20149, @@ -2570,7 +2777,8 @@ "All Fuels (Wh/pkm)": 618.6045626688752, "Unlinked Passenger Trips": 191522, "Passenger Paid Fares": 1531369, - "Average Fare": 7.995786384853959 + "Average Fare": 7.995786384853959, + "Average Passengers": 7.469108802624384 }, { "NTD ID": 20161, @@ -2582,7 +2790,8 @@ "All Fuels (Wh/pkm)": 695.745677346937, "Unlinked Passenger Trips": 77114, "Passenger Paid Fares": 744084, - "Average Fare": 9.64914282750214 + "Average Fare": 9.64914282750214, + "Average Passengers": 6.737451078668699 }, { "NTD ID": 20163, @@ -2594,7 +2803,8 @@ "All Fuels (Wh/pkm)": 387.171295074175, "Unlinked Passenger Trips": 270478, "Passenger Paid Fares": 2828113, - "Average Fare": 10.455981632517247 + "Average Fare": 10.455981632517247, + "Average Passengers": 12.15943651151085 }, { "NTD ID": 20166, @@ -2606,7 +2816,8 @@ "All Fuels (Wh/pkm)": 776.5448488934857, "Unlinked Passenger Trips": 2847996, "Passenger Paid Fares": 5132487, - "Average Fare": 1.802139820421096 + "Average Fare": 1.802139820421096, + "Average Passengers": 7.420513971876211 }, { "NTD ID": 20169, @@ -2618,7 +2829,8 @@ "All Fuels (Wh/pkm)": 208.92483693423108, "Unlinked Passenger Trips": 289184, "Passenger Paid Fares": 7692463, - "Average Fare": 26.60058301980746 + "Average Fare": 26.60058301980746, + "Average Passengers": 17.49186676994578 }, { "NTD ID": 20177, @@ -2630,7 +2842,8 @@ "All Fuels (Wh/pkm)": 89.20117947069814, "Unlinked Passenger Trips": 209281, "Passenger Paid Fares": 4543785, - "Average Fare": 21.711407151150844 + "Average Fare": 21.711407151150844, + "Average Passengers": 16.976979227513983 }, { "NTD ID": 20178, @@ -2638,7 +2851,8 @@ "UACE Code": "71803", "Unlinked Passenger Trips": 5594, "Passenger Paid Fares": 16314, - "Average Fare": 2.9163389345727566 + "Average Fare": 2.9163389345727566, + "Average Passengers": 0.521684809144958 }, { "NTD ID": 20178, @@ -2646,7 +2860,8 @@ "UACE Code": "71803", "Unlinked Passenger Trips": 214136, "Passenger Paid Fares": 133703, - "Average Fare": 0.6243835693204319 + "Average Fare": 0.6243835693204319, + "Average Passengers": 0.9645925436271238 }, { "NTD ID": 20188, @@ -2660,7 +2875,8 @@ "All Fuels (Wh/pkm)": 2668.9335635205034, "Unlinked Passenger Trips": 82347804, "Passenger Paid Fares": 140163935, - "Average Fare": 1.7020968160851018 + "Average Fare": 1.7020968160851018, + "Average Passengers": 6.418178188100364 }, { "NTD ID": 20190, @@ -2672,7 +2888,8 @@ "All Fuels (Wh/pkm)": 17459.96248202854, "Unlinked Passenger Trips": 2115078, "Passenger Paid Fares": 17366772, - "Average Fare": 8.210936901617814 + "Average Fare": 8.210936901617814, + "Average Passengers": 14.338368117056207 }, { "NTD ID": 20190, @@ -2682,7 +2899,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1818.4827366212226, "All Fuels (Wh/pkm)": 1818.4827366212226, - "Unlinked Passenger Trips": 504179 + "Unlinked Passenger Trips": 504179, + "Average Passengers": 3.26819237073793 }, { "NTD ID": 20192, @@ -2692,7 +2910,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2050.8573116534094, "All Fuels (Wh/pkm)": 2050.8573116534094, - "Unlinked Passenger Trips": 45262 + "Unlinked Passenger Trips": 45262, + "Average Passengers": 1.6800486452699948 }, { "NTD ID": 20192, @@ -2702,7 +2921,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2160.6569683255184, "All Fuels (Wh/pkm)": 2160.6569683255184, - "Unlinked Passenger Trips": 4413 + "Unlinked Passenger Trips": 4413, + "Average Passengers": 2.2330451336559056 }, { "NTD ID": 20199, @@ -2714,7 +2934,8 @@ "Gasoline (Wh/pkm)": 3868.628398994626, "Diesel (Wh/pkm)": 5105.476746678106, "All Fuels (Wh/pkm)": 3901.294143006414, - "Unlinked Passenger Trips": 48776 + "Unlinked Passenger Trips": 48776, + "Average Passengers": 0.8067287232290493 }, { "NTD ID": 20204, @@ -2728,7 +2949,8 @@ "All Fuels (Wh/pkm)": 3290.417337445553, "Unlinked Passenger Trips": 62532, "Passenger Paid Fares": 7593, - "Average Fare": 0.12142582997505277 + "Average Fare": 0.12142582997505277, + "Average Passengers": 0.8075135642126243 }, { "NTD ID": 20206, @@ -2742,7 +2964,8 @@ "All Fuels (Wh/pkm)": 3242.2228469216893, "Unlinked Passenger Trips": 206492, "Passenger Paid Fares": 627344, - "Average Fare": 3.03810317106716 + "Average Fare": 3.03810317106716, + "Average Passengers": 0.8634545417127457 }, { "NTD ID": 20206, @@ -2758,7 +2981,8 @@ "All Fuels (Wh/pkm)": 159.47602470704646, "Unlinked Passenger Trips": 15230994, "Passenger Paid Fares": 24395225, - "Average Fare": 1.6016830549601688 + "Average Fare": 1.6016830549601688, + "Average Passengers": 9.41376930397339 }, { "NTD ID": 20209, @@ -2772,7 +2996,8 @@ "All Fuels (Wh/pkm)": 2804.451247906322, "Unlinked Passenger Trips": 48892, "Passenger Paid Fares": 98434, - "Average Fare": 2.013294608524912 + "Average Fare": 2.013294608524912, + "Average Passengers": 1.028488498866549 }, { "NTD ID": 20209, @@ -2786,7 +3011,8 @@ "All Fuels (Wh/pkm)": 2838.640174768167, "Unlinked Passenger Trips": 33073, "Passenger Paid Fares": 64497, - "Average Fare": 1.950140598070934 + "Average Fare": 1.950140598070934, + "Average Passengers": 1.0937800051854658 }, { "NTD ID": 20217, @@ -2798,7 +3024,8 @@ "All Fuels (Wh/pkm)": 145.23025089213758, "Unlinked Passenger Trips": 483740, "Passenger Paid Fares": 17806941, - "Average Fare": 36.81097490387398 + "Average Fare": 36.81097490387398, + "Average Passengers": 19.30983790226676 }, { "NTD ID": 20223, @@ -2810,7 +3037,8 @@ "All Fuels (Wh/pkm)": 1743.4124237823987, "Unlinked Passenger Trips": 669660, "Passenger Paid Fares": 5140956, - "Average Fare": 7.6769644297105994 + "Average Fare": 7.6769644297105994, + "Average Passengers": 168.99503803673647 }, { "NTD ID": 20226, @@ -2822,7 +3050,8 @@ "All Fuels (Wh/pkm)": 3169.109793998446, "Unlinked Passenger Trips": 425793, "Passenger Paid Fares": 9595513, - "Average Fare": 22.535628814940594 + "Average Fare": 22.535628814940594, + "Average Passengers": 71.52786909742976 }, { "NTD ID": 22930, @@ -2834,7 +3063,8 @@ "All Fuels (Wh/pkm)": 3221.7925013660433, "Unlinked Passenger Trips": 3784753, "Passenger Paid Fares": 9354007, - "Average Fare": 2.471497347383039 + "Average Fare": 2.471497347383039, + "Average Passengers": 26.19280671556154 }, { "NTD ID": 30001, @@ -2846,7 +3076,8 @@ "All Fuels (Wh/pkm)": 3915.8948361166176, "Unlinked Passenger Trips": 17285, "Passenger Paid Fares": 40118, - "Average Fare": 2.3209719409892973 + "Average Fare": 2.3209719409892973, + "Average Passengers": 0.6833232349954345 }, { "NTD ID": 30001, @@ -2860,7 +3091,8 @@ "All Fuels (Wh/pkm)": 1701.271501858057, "Unlinked Passenger Trips": 966688, "Passenger Paid Fares": 1108880, - "Average Fare": 1.1470919262471448 + "Average Fare": 1.1470919262471448, + "Average Passengers": 2.212454663880116 }, { "NTD ID": 30002, @@ -2872,7 +3104,8 @@ "All Fuels (Wh/pkm)": 3395.701759284709, "Unlinked Passenger Trips": 34344, "Passenger Paid Fares": 49493, - "Average Fare": 1.4410959701840205 + "Average Fare": 1.4410959701840205, + "Average Passengers": 0.8526132608703159 }, { "NTD ID": 30002, @@ -2884,7 +3117,8 @@ "All Fuels (Wh/pkm)": 1285.7467367789557, "Unlinked Passenger Trips": 603743, "Passenger Paid Fares": 789817, - "Average Fare": 1.3082006747904324 + "Average Fare": 1.3082006747904324, + "Average Passengers": 3.685691296652426 }, { "NTD ID": 30006, @@ -2894,7 +3128,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 354.6426533787464, "All Fuels (Wh/pkm)": 354.6426533787464, - "Unlinked Passenger Trips": 211297 + "Unlinked Passenger Trips": 211297, + "Average Passengers": 0.9999995962568162 }, { "NTD ID": 30006, @@ -2906,7 +3141,8 @@ "Diesel (Wh/pkm)": 928.6759162207871, "CNG (Wh/pkm)": 238.53099895845185, "All Fuels (Wh/pkm)": 405.5380979570088, - "Unlinked Passenger Trips": 6136309 + "Unlinked Passenger Trips": 6136309, + "Average Passengers": 6.1113312030335 }, { "NTD ID": 30006, @@ -2916,7 +3152,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 203.42429269324134, "All Fuels (Wh/pkm)": 203.42429269324134, - "Unlinked Passenger Trips": 1345781 + "Unlinked Passenger Trips": 1345781, + "Average Passengers": 7.707197381759417 }, { "NTD ID": 30006, @@ -2928,7 +3165,8 @@ "All Fuels (Wh/pkm)": 292.29585430787637, "Unlinked Passenger Trips": 117134, "Passenger Paid Fares": 807721, - "Average Fare": 6.895700650536992 + "Average Fare": 6.895700650536992, + "Average Passengers": 4.990563788564914 }, { "NTD ID": 30007, @@ -2940,7 +3178,8 @@ "All Fuels (Wh/pkm)": 2956.013836680221, "Unlinked Passenger Trips": 59902, "Passenger Paid Fares": 172302, - "Average Fare": 2.87639811692431 + "Average Fare": 2.87639811692431, + "Average Passengers": 0.9241310665953228 }, { "NTD ID": 30007, @@ -2954,7 +3193,8 @@ "All Fuels (Wh/pkm)": 1634.5005645873844, "Unlinked Passenger Trips": 1037170, "Passenger Paid Fares": 1053761, - "Average Fare": 1.015996413317007 + "Average Fare": 1.015996413317007, + "Average Passengers": 3.1274843924359863 }, { "NTD ID": 30008, @@ -2966,7 +3206,8 @@ "All Fuels (Wh/pkm)": 5270.371392025053, "Unlinked Passenger Trips": 17050, "Passenger Paid Fares": 20871, - "Average Fare": 1.2241055718475073 + "Average Fare": 1.2241055718475073, + "Average Passengers": 0.6527682326744921 }, { "NTD ID": 30008, @@ -2978,7 +3219,8 @@ "All Fuels (Wh/pkm)": 2468.4881000840473, "Unlinked Passenger Trips": 451021, "Passenger Paid Fares": 238814, - "Average Fare": 0.5294964092581055 + "Average Fare": 0.5294964092581055, + "Average Passengers": 2.064604164094968 }, { "NTD ID": 30010, @@ -2992,7 +3234,8 @@ "All Fuels (Wh/pkm)": 2996.9280843212186, "Unlinked Passenger Trips": 151387, "Passenger Paid Fares": 336241, - "Average Fare": 2.2210691803127083 + "Average Fare": 2.2210691803127083, + "Average Passengers": 0.8466842487018327 }, { "NTD ID": 30010, @@ -3006,7 +3249,8 @@ "All Fuels (Wh/pkm)": 604.9555022318472, "Unlinked Passenger Trips": 2636010, "Passenger Paid Fares": 1093484, - "Average Fare": 0.41482543692929846 + "Average Fare": 0.41482543692929846, + "Average Passengers": 3.9269071892345915 }, { "NTD ID": 30011, @@ -3016,7 +3260,8 @@ "Diesel (Wh/pkm)": 42.66220180331024, "Unlinked Passenger Trips": 5321, "Passenger Paid Fares": 18003, - "Average Fare": 3.3833865814696487 + "Average Fare": 3.3833865814696487, + "Average Passengers": 0.66268316118184 }, { "NTD ID": 30011, @@ -3030,7 +3275,8 @@ "All Fuels (Wh/pkm)": 680.5360656316548, "Unlinked Passenger Trips": 314830, "Passenger Paid Fares": 210481, - "Average Fare": 0.6685544579614395 + "Average Fare": 0.6685544579614395, + "Average Passengers": 2.918136349197697 }, { "NTD ID": 30012, @@ -3044,7 +3290,8 @@ "All Fuels (Wh/pkm)": 1766.9357050414953, "Unlinked Passenger Trips": 28534, "Passenger Paid Fares": 14638, - "Average Fare": 0.5130020326627882 + "Average Fare": 0.5130020326627882, + "Average Passengers": 0.687451530576275 }, { "NTD ID": 30012, @@ -3056,7 +3303,8 @@ "All Fuels (Wh/pkm)": 9463.734360029259, "Unlinked Passenger Trips": 20193, "Passenger Paid Fares": 40463, - "Average Fare": 2.0038132025949587 + "Average Fare": 2.0038132025949587, + "Average Passengers": 4.42967741935484 }, { "NTD ID": 30012, @@ -3072,7 +3320,8 @@ "All Fuels (Wh/pkm)": 1246.2171185010586, "Unlinked Passenger Trips": 701839, "Passenger Paid Fares": 377549, - "Average Fare": 0.5379424625875735 + "Average Fare": 0.5379424625875735, + "Average Passengers": 2.1458666685995835 }, { "NTD ID": 30013, @@ -3084,7 +3333,8 @@ "All Fuels (Wh/pkm)": 3161.4496649919615, "Unlinked Passenger Trips": 107820, "Passenger Paid Fares": 72238, - "Average Fare": 0.6699870153960304 + "Average Fare": 0.6699870153960304, + "Average Passengers": 1.2467010820263913 }, { "NTD ID": 30013, @@ -3098,7 +3348,8 @@ "All Fuels (Wh/pkm)": 1983.6338928297657, "Unlinked Passenger Trips": 738907, "Passenger Paid Fares": 762408, - "Average Fare": 1.0318050850783658 + "Average Fare": 1.0318050850783658, + "Average Passengers": 1.8067744835247412 }, { "NTD ID": 30014, @@ -3110,7 +3361,8 @@ "All Fuels (Wh/pkm)": 3411.61035006933, "Unlinked Passenger Trips": 127739, "Passenger Paid Fares": 124097, - "Average Fare": 0.9714887387563704 + "Average Fare": 0.9714887387563704, + "Average Passengers": 0.9298625124137558 }, { "NTD ID": 30014, @@ -3122,7 +3374,8 @@ "All Fuels (Wh/pkm)": 2029.182651757217, "Unlinked Passenger Trips": 962013, "Passenger Paid Fares": 1198374, - "Average Fare": 1.2456941850058159 + "Average Fare": 1.2456941850058159, + "Average Passengers": 2.3125980796636076 }, { "NTD ID": 30015, @@ -3134,7 +3387,8 @@ "All Fuels (Wh/pkm)": 3918.094609762843, "Unlinked Passenger Trips": 79970, "Passenger Paid Fares": 81147, - "Average Fare": 1.0147180192572214 + "Average Fare": 1.0147180192572214, + "Average Passengers": 0.8800643131384535 }, { "NTD ID": 30015, @@ -3146,7 +3400,8 @@ "All Fuels (Wh/pkm)": 2783.8755652636164, "Unlinked Passenger Trips": 746504, "Passenger Paid Fares": 78131, - "Average Fare": 0.10466253362339653 + "Average Fare": 0.10466253362339653, + "Average Passengers": 2.0289839331952675 }, { "NTD ID": 30019, @@ -3158,7 +3413,8 @@ "All Fuels (Wh/pkm)": 374.86349746570806, "Unlinked Passenger Trips": 6871251, "Passenger Paid Fares": 27975734, - "Average Fare": 4.071417853895892 + "Average Fare": 4.071417853895892, + "Average Passengers": 23.946787170250857 }, { "NTD ID": 30019, @@ -3170,7 +3426,8 @@ "All Fuels (Wh/pkm)": 4489.982929913137, "Unlinked Passenger Trips": 511572, "Passenger Paid Fares": 1936430, - "Average Fare": 3.7852540795821508 + "Average Fare": 3.7852540795821508, + "Average Passengers": 0.63694967208512 }, { "NTD ID": 30019, @@ -3182,7 +3439,8 @@ "All Fuels (Wh/pkm)": 146.10345956488175, "Unlinked Passenger Trips": 28642836, "Passenger Paid Fares": 34560566, - "Average Fare": 1.206604192406087 + "Average Fare": 1.206604192406087, + "Average Passengers": 36.29670519775319 }, { "NTD ID": 30019, @@ -3194,7 +3452,8 @@ "All Fuels (Wh/pkm)": 1350.1035567804977, "Unlinked Passenger Trips": 60307213, "Passenger Paid Fares": 73881951, - "Average Fare": 1.225093107850963 + "Average Fare": 1.225093107850963, + "Average Passengers": 4.263126360374547 }, { "NTD ID": 30019, @@ -3206,7 +3465,8 @@ "All Fuels (Wh/pkm)": 741.8467546189155, "Unlinked Passenger Trips": 7452795, "Passenger Paid Fares": 9715467, - "Average Fare": 1.303600461303444 + "Average Fare": 1.303600461303444, + "Average Passengers": 7.396502805970474 }, { "NTD ID": 30019, @@ -3218,7 +3478,8 @@ "All Fuels (Wh/pkm)": 1055.6918964555512, "Unlinked Passenger Trips": 2026394, "Passenger Paid Fares": 2309743, - "Average Fare": 1.1398291743856328 + "Average Fare": 1.1398291743856328, + "Average Passengers": 4.930999223262512 }, { "NTD ID": 30022, @@ -3230,7 +3491,8 @@ "All Fuels (Wh/pkm)": 4105.601257957459, "Unlinked Passenger Trips": 667101, "Passenger Paid Fares": 775077, - "Average Fare": 1.1618585491552254 + "Average Fare": 1.1618585491552254, + "Average Passengers": 0.7255873162116055 }, { "NTD ID": 30022, @@ -3242,7 +3504,8 @@ "All Fuels (Wh/pkm)": 5307.275708263703, "Unlinked Passenger Trips": 204830, "Passenger Paid Fares": 194265, - "Average Fare": 0.9484206415075916 + "Average Fare": 0.9484206415075916, + "Average Passengers": 1.9386085688831298 }, { "NTD ID": 30022, @@ -3250,7 +3513,8 @@ "UACE Code": "69697", "Unlinked Passenger Trips": 1460121, "Passenger Paid Fares": 1596223, - "Average Fare": 1.0932128227729072 + "Average Fare": 1.0932128227729072, + "Average Passengers": 3.7645912677316073 }, { "NTD ID": 30022, @@ -3264,7 +3528,8 @@ "All Fuels (Wh/pkm)": 1746.0483431269315, "Unlinked Passenger Trips": 20136048, "Passenger Paid Fares": 22665404, - "Average Fare": 1.1256133278983045 + "Average Fare": 1.1256133278983045, + "Average Passengers": 3.2617759558761916 }, { "NTD ID": 30023, @@ -3276,7 +3541,8 @@ "All Fuels (Wh/pkm)": 2251.2081471931374, "Unlinked Passenger Trips": 50829, "Passenger Paid Fares": 44459, - "Average Fare": 0.8746778413897578 + "Average Fare": 0.8746778413897578, + "Average Passengers": 1.3984839803215297 }, { "NTD ID": 30023, @@ -3292,7 +3558,8 @@ "All Fuels (Wh/pkm)": 473.0024924204559, "Unlinked Passenger Trips": 327878, "Passenger Paid Fares": 406732, - "Average Fare": 1.240497990106076 + "Average Fare": 1.240497990106076, + "Average Passengers": 5.242522239875577 }, { "NTD ID": 30025, @@ -3306,7 +3573,8 @@ "All Fuels (Wh/pkm)": 2613.1376897358527, "Unlinked Passenger Trips": 83604, "Passenger Paid Fares": 48472, - "Average Fare": 0.5797808717286255 + "Average Fare": 0.5797808717286255, + "Average Passengers": 0.867826303566727 }, { "NTD ID": 30025, @@ -3322,7 +3590,8 @@ "All Fuels (Wh/pkm)": 1672.5807498706863, "Unlinked Passenger Trips": 418574, "Passenger Paid Fares": 616385, - "Average Fare": 1.4725831035850292 + "Average Fare": 1.4725831035850292, + "Average Passengers": 2.269107706125304 }, { "NTD ID": 30026, @@ -3336,7 +3605,8 @@ "All Fuels (Wh/pkm)": 755.8549566970798, "Unlinked Passenger Trips": 639068, "Passenger Paid Fares": 355569, - "Average Fare": 0.5563868007786339 + "Average Fare": 0.5563868007786339, + "Average Passengers": 2.99951076428999 }, { "NTD ID": 30027, @@ -3350,7 +3620,8 @@ "All Fuels (Wh/pkm)": 1013.1596435221752, "Unlinked Passenger Trips": 13630, "Passenger Paid Fares": 47581, - "Average Fare": 3.4909024211298605 + "Average Fare": 3.4909024211298605, + "Average Passengers": 0.6868394781231713 }, { "NTD ID": 30027, @@ -3364,7 +3635,8 @@ "All Fuels (Wh/pkm)": 4633.123564916943, "Unlinked Passenger Trips": 373530, "Passenger Paid Fares": 367531, - "Average Fare": 0.9839397103311648 + "Average Fare": 0.9839397103311648, + "Average Passengers": 0.7596975391860751 }, { "NTD ID": 30027, @@ -3380,7 +3652,8 @@ "All Fuels (Wh/pkm)": 1110.640594510911, "Unlinked Passenger Trips": 844419, "Passenger Paid Fares": 773100, - "Average Fare": 0.9155407445829618 + "Average Fare": 0.9155407445829618, + "Average Passengers": 2.373344024867104 }, { "NTD ID": 30030, @@ -3392,7 +3665,8 @@ "All Fuels (Wh/pkm)": 1330.7440819965827, "Unlinked Passenger Trips": 1064502, "Passenger Paid Fares": 4415909, - "Average Fare": 4.148333211210501 + "Average Fare": 4.148333211210501, + "Average Passengers": 0.5028639427088833 }, { "NTD ID": 30030, @@ -3404,7 +3678,8 @@ "All Fuels (Wh/pkm)": 235.1325347030017, "Unlinked Passenger Trips": 36550201, "Passenger Paid Fares": 77256463, - "Average Fare": 2.1137082939708045 + "Average Fare": 2.1137082939708045, + "Average Passengers": 21.08054589946171 }, { "NTD ID": 30030, @@ -3420,7 +3695,8 @@ "All Fuels (Wh/pkm)": 954.3923082199423, "Unlinked Passenger Trips": 52325667, "Passenger Paid Fares": 20366814, - "Average Fare": 0.38923180855009454 + "Average Fare": 0.38923180855009454, + "Average Passengers": 4.461543445541319 }, { "NTD ID": 30034, @@ -3428,7 +3704,8 @@ "UACE Code": "04843", "Unlinked Passenger Trips": 434474, "Passenger Paid Fares": 4363800, - "Average Fare": 10.043869138314376 + "Average Fare": 10.043869138314376, + "Average Passengers": 6.584395108673719 }, { "NTD ID": 30034, @@ -3442,7 +3719,8 @@ "All Fuels (Wh/pkm)": 1619.8521759080566, "Unlinked Passenger Trips": 880344, "Passenger Paid Fares": 8168100, - "Average Fare": 9.27830484446989 + "Average Fare": 9.27830484446989, + "Average Passengers": 28.54027241104364 }, { "NTD ID": 30034, @@ -3454,7 +3732,8 @@ "All Fuels (Wh/pkm)": 2174.2817022249806, "Unlinked Passenger Trips": 1577787, "Passenger Paid Fares": 34401, - "Average Fare": 0.021803323262265438 + "Average Fare": 0.021803323262265438, + "Average Passengers": 0.9212083508442742 }, { "NTD ID": 30034, @@ -3462,7 +3741,8 @@ "UACE Code": "04843", "Unlinked Passenger Trips": 1615560, "Passenger Paid Fares": 5290300, - "Average Fare": 3.274592091906212 + "Average Fare": 3.274592091906212, + "Average Passengers": 8.620171865478689 }, { "NTD ID": 30034, @@ -3474,7 +3754,8 @@ "All Fuels (Wh/pkm)": 668.0478204061944, "Unlinked Passenger Trips": 2458661, "Passenger Paid Fares": 3112100, - "Average Fare": 1.265770270891351 + "Average Fare": 1.265770270891351, + "Average Passengers": 8.389561181382096 }, { "NTD ID": 30034, @@ -3486,7 +3767,8 @@ "All Fuels (Wh/pkm)": 785.629444037346, "Unlinked Passenger Trips": 35370213, "Passenger Paid Fares": 22717100, - "Average Fare": 0.6422664177905856 + "Average Fare": 0.6422664177905856, + "Average Passengers": 7.552628633112384 }, { "NTD ID": 30035, @@ -3498,7 +3780,8 @@ "All Fuels (Wh/pkm)": 5127.601130048977, "Unlinked Passenger Trips": 4171, "Passenger Paid Fares": 8603, - "Average Fare": 2.0625749220810357 + "Average Fare": 2.0625749220810357, + "Average Passengers": 0.3768724007213573 }, { "NTD ID": 30035, @@ -3512,7 +3795,8 @@ "All Fuels (Wh/pkm)": 3401.1348917653654, "Unlinked Passenger Trips": 264684, "Passenger Paid Fares": 285227, - "Average Fare": 1.0776133049220957 + "Average Fare": 1.0776133049220957, + "Average Passengers": 1.2445132656715456 }, { "NTD ID": 30044, @@ -3524,7 +3808,8 @@ "All Fuels (Wh/pkm)": 2685.475435449362, "Unlinked Passenger Trips": 118467, "Passenger Paid Fares": 150940, - "Average Fare": 1.2741100897296294 + "Average Fare": 1.2741100897296294, + "Average Passengers": 0.9390443247712826 }, { "NTD ID": 30044, @@ -3534,7 +3819,8 @@ "CNG (Wh/pkm)": 3512.3033321054045, "Unlinked Passenger Trips": 113076, "Passenger Paid Fares": 185430, - "Average Fare": 1.6398705295553433 + "Average Fare": 1.6398705295553433, + "Average Passengers": 1.0331425098428275 }, { "NTD ID": 30045, @@ -3546,7 +3832,8 @@ "All Fuels (Wh/pkm)": 1057.2093071578304, "Unlinked Passenger Trips": 21931, "Passenger Paid Fares": 208, - "Average Fare": 0.00948429164196799 + "Average Fare": 0.00948429164196799, + "Average Passengers": 2.7403771319860217 }, { "NTD ID": 30045, @@ -3560,7 +3847,8 @@ "All Fuels (Wh/pkm)": 2761.0188705873124, "Unlinked Passenger Trips": 126037, "Passenger Paid Fares": 1076, - "Average Fare": 0.00853717559129462 + "Average Fare": 0.00853717559129462, + "Average Passengers": 0.8903799275145265 }, { "NTD ID": 30048, @@ -3572,7 +3860,8 @@ "All Fuels (Wh/pkm)": 3035.6651887547396, "Unlinked Passenger Trips": 54366, "Passenger Paid Fares": 110104, - "Average Fare": 2.0252363609608945 + "Average Fare": 2.0252363609608945, + "Average Passengers": 0.6490086133470376 }, { "NTD ID": 30048, @@ -3582,7 +3871,8 @@ "Electric (Wh/pkm)": 3583.6203895748868, "Unlinked Passenger Trips": 269010, "Passenger Paid Fares": 207555, - "Average Fare": 0.7715512434481989 + "Average Fare": 0.7715512434481989, + "Average Passengers": 0.9960158304518297 }, { "NTD ID": 30051, @@ -3598,7 +3888,8 @@ "All Fuels (Wh/pkm)": 1475.526936674437, "Unlinked Passenger Trips": 10078042, "Passenger Paid Fares": 249843, - "Average Fare": 0.024790827424612836 + "Average Fare": 0.024790827424612836, + "Average Passengers": 3.2002852159956046 }, { "NTD ID": 30054, @@ -3610,7 +3901,8 @@ "All Fuels (Wh/pkm)": 1960.108968134426, "Unlinked Passenger Trips": 31347, "Passenger Paid Fares": 101169, - "Average Fare": 3.227390180878553 + "Average Fare": 3.227390180878553, + "Average Passengers": 0.6473600995474823 }, { "NTD ID": 30054, @@ -3622,7 +3914,8 @@ "All Fuels (Wh/pkm)": 854.5761418870737, "Unlinked Passenger Trips": 666332, "Passenger Paid Fares": 279159, - "Average Fare": 0.4189488123037765 + "Average Fare": 0.4189488123037765, + "Average Passengers": 2.0592555128464496 }, { "NTD ID": 30054, @@ -3634,7 +3927,8 @@ "All Fuels (Wh/pkm)": 216.60146294485517, "Unlinked Passenger Trips": 50318, "Passenger Paid Fares": 134574, - "Average Fare": 2.674470368456616 + "Average Fare": 2.674470368456616, + "Average Passengers": 6.877974313207091 }, { "NTD ID": 30058, @@ -3644,7 +3938,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1833.9442287300205, "All Fuels (Wh/pkm)": 1833.9442287300205, - "Unlinked Passenger Trips": 326881 + "Unlinked Passenger Trips": 326881, + "Average Passengers": 2.446590730956644 }, { "NTD ID": 30068, @@ -3656,7 +3951,8 @@ "All Fuels (Wh/pkm)": 2758.901693850486, "Unlinked Passenger Trips": 4566013, "Passenger Paid Fares": 2193834, - "Average Fare": 0.48047037973829687 + "Average Fare": 0.48047037973829687, + "Average Passengers": 1.651550932300369 }, { "NTD ID": 30070, @@ -3668,7 +3964,8 @@ "All Fuels (Wh/pkm)": 3264.7216212601074, "Unlinked Passenger Trips": 307489, "Passenger Paid Fares": 1976441, - "Average Fare": 6.427680339784513 + "Average Fare": 6.427680339784513, + "Average Passengers": 2.1692238198135945 }, { "NTD ID": 30070, @@ -3676,7 +3973,8 @@ "UACE Code": "92242", "Unlinked Passenger Trips": 1248, "Passenger Paid Fares": 43, - "Average Fare": 0.03445512820512821 + "Average Fare": 0.03445512820512821, + "Average Passengers": 0.23231830534457532 }, { "NTD ID": 30070, @@ -3684,7 +3982,8 @@ "UACE Code": "92242", "Unlinked Passenger Trips": 414287, "Passenger Paid Fares": 1209, - "Average Fare": 0.00291826680537888 + "Average Fare": 0.00291826680537888, + "Average Passengers": 2.4814616668366085 }, { "NTD ID": 30070, @@ -3696,7 +3995,8 @@ "All Fuels (Wh/pkm)": 215.6515467688937, "Unlinked Passenger Trips": 427643, "Passenger Paid Fares": 5684059, - "Average Fare": 13.291598365926719 + "Average Fare": 13.291598365926719, + "Average Passengers": 4.254999406425963 }, { "NTD ID": 30071, @@ -3710,7 +4010,8 @@ "All Fuels (Wh/pkm)": 3792.19142399227, "Unlinked Passenger Trips": 1521938, "Passenger Paid Fares": 590521, - "Average Fare": 0.38800595030809404 + "Average Fare": 0.38800595030809404, + "Average Passengers": 1.39082791226623 }, { "NTD ID": 30072, @@ -3724,7 +4025,8 @@ "All Fuels (Wh/pkm)": 4157.293481257587, "Unlinked Passenger Trips": 24556, "Passenger Paid Fares": 240, - "Average Fare": 0.009773578758755497 + "Average Fare": 0.009773578758755497, + "Average Passengers": 0.6460212999327744 }, { "NTD ID": 30072, @@ -3740,7 +4042,8 @@ "All Fuels (Wh/pkm)": 1172.0508905358327, "Unlinked Passenger Trips": 388714, "Passenger Paid Fares": 13027, - "Average Fare": 0.03351307130692489 + "Average Fare": 0.03351307130692489, + "Average Passengers": 2.5856137071651086 }, { "NTD ID": 30073, @@ -3752,7 +4055,8 @@ "All Fuels (Wh/pkm)": 2167.434332691737, "Unlinked Passenger Trips": 341627, "Passenger Paid Fares": 7251796, - "Average Fare": 21.227233210489803 + "Average Fare": 21.227233210489803, + "Average Passengers": 45.769564810163224 }, { "NTD ID": 30075, @@ -3765,7 +4069,8 @@ "All Fuels (Wh/pkm)": 3575.754222826502, "Unlinked Passenger Trips": 455392, "Passenger Paid Fares": 1264720, - "Average Fare": 2.7772117208910125 + "Average Fare": 2.7772117208910125, + "Average Passengers": 0.778894137626062 }, { "NTD ID": 30075, @@ -3780,7 +4085,8 @@ "All Fuels (Wh/pkm)": 1037.823068804777, "Unlinked Passenger Trips": 4724930, "Passenger Paid Fares": 4885341, - "Average Fare": 1.03394992095121 + "Average Fare": 1.03394992095121, + "Average Passengers": 2.8346221463251027 }, { "NTD ID": 30076, @@ -3790,7 +4096,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 4354.533971745616, "All Fuels (Wh/pkm)": 4354.533971745616, - "Unlinked Passenger Trips": 14501 + "Unlinked Passenger Trips": 14501, + "Average Passengers": 0.535831308111768 }, { "NTD ID": 30076, @@ -3802,7 +4109,8 @@ "Gasoline (Wh/pkm)": 713.5284365218546, "Diesel (Wh/pkm)": 936.3013330539717, "All Fuels (Wh/pkm)": 927.3451363759973, - "Unlinked Passenger Trips": 595790 + "Unlinked Passenger Trips": 595790, + "Average Passengers": 4.048591900817098 }, { "NTD ID": 30078, @@ -3814,7 +4122,8 @@ "All Fuels (Wh/pkm)": 402.13574354198107, "Unlinked Passenger Trips": 7727, "Passenger Paid Fares": 98095, - "Average Fare": 12.69509512100427 + "Average Fare": 12.69509512100427, + "Average Passengers": 3.636622850042509 }, { "NTD ID": 30080, @@ -3826,7 +4135,8 @@ "All Fuels (Wh/pkm)": 1632.0258978346608, "Unlinked Passenger Trips": 31769, "Passenger Paid Fares": 129336, - "Average Fare": 4.0711385312726245 + "Average Fare": 4.0711385312726245, + "Average Passengers": 1.15538102652121 }, { "NTD ID": 30080, @@ -3838,7 +4148,8 @@ "All Fuels (Wh/pkm)": 1159.201698490764, "Unlinked Passenger Trips": 1391820, "Passenger Paid Fares": 1147375, - "Average Fare": 0.8243702490264546 + "Average Fare": 0.8243702490264546, + "Average Passengers": 1.6458841661706565 }, { "NTD ID": 30081, @@ -3850,7 +4161,8 @@ "All Fuels (Wh/pkm)": 2635.957551228975, "Unlinked Passenger Trips": 60088, "Passenger Paid Fares": 121207, - "Average Fare": 2.017158168020237 + "Average Fare": 2.017158168020237, + "Average Passengers": 1.8071489325335133 }, { "NTD ID": 30081, @@ -3862,7 +4174,8 @@ "All Fuels (Wh/pkm)": 2698.5459353154174, "Unlinked Passenger Trips": 8344, "Passenger Paid Fares": 2855, - "Average Fare": 0.3421620325982742 + "Average Fare": 0.3421620325982742, + "Average Passengers": 0.43570373395145506 }, { "NTD ID": 30081, @@ -3874,7 +4187,8 @@ "All Fuels (Wh/pkm)": 2930.9735364207795, "Unlinked Passenger Trips": 265529, "Passenger Paid Fares": 33828, - "Average Fare": 0.1273985139099684 + "Average Fare": 0.1273985139099684, + "Average Passengers": 1.2136144637400288 }, { "NTD ID": 30083, @@ -3886,7 +4200,8 @@ "All Fuels (Wh/pkm)": 3093.782674335079, "Unlinked Passenger Trips": 263047, "Passenger Paid Fares": 724097, - "Average Fare": 2.7527285998319693 + "Average Fare": 2.7527285998319693, + "Average Passengers": 0.7735232024208161 }, { "NTD ID": 30083, @@ -3898,7 +4213,8 @@ "All Fuels (Wh/pkm)": 6563.936591889837, "Unlinked Passenger Trips": 151818, "Passenger Paid Fares": 199632, - "Average Fare": 1.3149428921471762 + "Average Fare": 1.3149428921471762, + "Average Passengers": 6.348712142654968 }, { "NTD ID": 30083, @@ -3906,7 +4222,8 @@ "UACE Code": "90892", "Unlinked Passenger Trips": 545259, "Passenger Paid Fares": 681652, - "Average Fare": 1.25014350978159 + "Average Fare": 1.25014350978159, + "Average Passengers": 4.884636541412355 }, { "NTD ID": 30083, @@ -3920,7 +4237,8 @@ "All Fuels (Wh/pkm)": 1980.6801885701568, "Unlinked Passenger Trips": 5490677, "Passenger Paid Fares": 9248151, - "Average Fare": 1.6843371045137057 + "Average Fare": 1.6843371045137057, + "Average Passengers": 2.4936175627949466 }, { "NTD ID": 30083, @@ -3932,7 +4250,8 @@ "All Fuels (Wh/pkm)": 282.02393882154536, "Unlinked Passenger Trips": 40814, "Passenger Paid Fares": 219916, - "Average Fare": 5.388249130200421 + "Average Fare": 5.388249130200421, + "Average Passengers": 5.456815363677605 }, { "NTD ID": 30085, @@ -3945,7 +4264,8 @@ "Gasoline (Wh/pkm)": 2925.2584998928573, "Diesel (Wh/pkm)": 3096.6264461372107, "All Fuels (Wh/pkm)": 2657.045825659415, - "Unlinked Passenger Trips": 42024 + "Unlinked Passenger Trips": 42024, + "Average Passengers": 1.0784305667569052 }, { "NTD ID": 30085, @@ -3959,7 +4279,8 @@ "All Fuels (Wh/pkm)": 2772.2096977091924, "Unlinked Passenger Trips": 904970, "Passenger Paid Fares": 78825, - "Average Fare": 0.08710233488402931 + "Average Fare": 0.08710233488402931, + "Average Passengers": 2.3267349962685135 }, { "NTD ID": 30088, @@ -3971,7 +4292,8 @@ "All Fuels (Wh/pkm)": 2626.4727209783005, "Unlinked Passenger Trips": 35789, "Passenger Paid Fares": 18825, - "Average Fare": 0.5259996088183521 + "Average Fare": 0.5259996088183521, + "Average Passengers": 0.9709629948673774 }, { "NTD ID": 30088, @@ -3983,7 +4305,8 @@ "All Fuels (Wh/pkm)": 1515.50179949568, "Unlinked Passenger Trips": 403895, "Passenger Paid Fares": 200452, - "Average Fare": 0.49629730499263425 + "Average Fare": 0.49629730499263425, + "Average Passengers": 2.097409118147891 }, { "NTD ID": 30091, @@ -3995,7 +4318,8 @@ "Gasoline (Wh/pkm)": 4110.678833777267, "Diesel (Wh/pkm)": 4169.326995050898, "All Fuels (Wh/pkm)": 4145.56276473212, - "Unlinked Passenger Trips": 23761 + "Unlinked Passenger Trips": 23761, + "Average Passengers": 0.4541704343303606 }, { "NTD ID": 30091, @@ -4003,7 +4327,8 @@ "UACE Code": "08002", "Electric (%)": 1.1765627639202343, "Electric (Wh/pkm)": 804.4877882197934, - "Unlinked Passenger Trips": 786997 + "Unlinked Passenger Trips": 786997, + "Average Passengers": 1.3266675610039989 }, { "NTD ID": 30094, @@ -4015,7 +4340,8 @@ "All Fuels (Wh/pkm)": 3728.8698235813204, "Unlinked Passenger Trips": 24210, "Passenger Paid Fares": 720, - "Average Fare": 0.02973977695167286 + "Average Fare": 0.02973977695167286, + "Average Passengers": 0.5991299794578483 }, { "NTD ID": 30094, @@ -4027,7 +4353,8 @@ "Gasoline (Wh/pkm)": 1913.3023407164258, "Diesel (Wh/pkm)": 3847.7588664833766, "All Fuels (Wh/pkm)": 3831.645349732977, - "Unlinked Passenger Trips": 479549 + "Unlinked Passenger Trips": 479549, + "Average Passengers": 1.7787802029455928 }, { "NTD ID": 30095, @@ -4039,7 +4366,8 @@ "All Fuels (Wh/pkm)": 2937.762737816145, "Unlinked Passenger Trips": 27413, "Passenger Paid Fares": 62953, - "Average Fare": 2.296465180753657 + "Average Fare": 2.296465180753657, + "Average Passengers": 0.9467787872233038 }, { "NTD ID": 30095, @@ -4053,7 +4381,8 @@ "All Fuels (Wh/pkm)": 1896.3273348818866, "Unlinked Passenger Trips": 177438, "Passenger Paid Fares": 187798, - "Average Fare": 1.0583865913727613 + "Average Fare": 1.0583865913727613, + "Average Passengers": 1.8891295011189224 }, { "NTD ID": 30096, @@ -4066,7 +4395,8 @@ "All Fuels (Wh/pkm)": 1978.7002642439618, "Unlinked Passenger Trips": 29877, "Passenger Paid Fares": 138528, - "Average Fare": 4.636610101415805 + "Average Fare": 4.636610101415805, + "Average Passengers": 0.7745447393386862 }, { "NTD ID": 30096, @@ -4081,7 +4411,8 @@ "All Fuels (Wh/pkm)": 1138.338136873168, "Unlinked Passenger Trips": 123978, "Passenger Paid Fares": 169312, - "Average Fare": 1.365661649647518 + "Average Fare": 1.365661649647518, + "Average Passengers": 4.2545620761027365 }, { "NTD ID": 30111, @@ -4093,7 +4424,8 @@ "All Fuels (Wh/pkm)": 3075.606065535822, "Unlinked Passenger Trips": 133656, "Passenger Paid Fares": 151101, - "Average Fare": 1.1305216376369187 + "Average Fare": 1.1305216376369187, + "Average Passengers": 0.8609916343902413 }, { "NTD ID": 30111, @@ -4107,7 +4439,8 @@ "All Fuels (Wh/pkm)": 2098.2514722794826, "Unlinked Passenger Trips": 45715, "Passenger Paid Fares": 54473, - "Average Fare": 1.1915782565897408 + "Average Fare": 1.1915782565897408, + "Average Passengers": 1.8299839702034368 }, { "NTD ID": 30112, @@ -4117,7 +4450,8 @@ "Electric (Wh/pkm)": 3371.3874973571164, "Unlinked Passenger Trips": 1171986, "Passenger Paid Fares": 1346, - "Average Fare": 0.0011484778828416038 + "Average Fare": 0.0011484778828416038, + "Average Passengers": 1.0109770693060582 }, { "NTD ID": 30112, @@ -4127,7 +4461,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 3931.4534869895783, "All Fuels (Wh/pkm)": 3931.4534869895783, - "Unlinked Passenger Trips": 309084 + "Unlinked Passenger Trips": 309084, + "Average Passengers": 2.0852921476695165 }, { "NTD ID": 30129, @@ -4137,7 +4472,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2657.8996451559724, "All Fuels (Wh/pkm)": 2657.8996451559724, - "Unlinked Passenger Trips": 63255 + "Unlinked Passenger Trips": 63255, + "Average Passengers": 0.6799385898068043 }, { "NTD ID": 30201, @@ -4147,7 +4483,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 9843.769073735553, "All Fuels (Wh/pkm)": 9843.769073735553, - "Unlinked Passenger Trips": 55704 + "Unlinked Passenger Trips": 55704, + "Average Passengers": 0.8881238425376323 }, { "NTD ID": 30201, @@ -4157,7 +4494,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2672.478438478399, "All Fuels (Wh/pkm)": 2672.478438478399, - "Unlinked Passenger Trips": 699141 + "Unlinked Passenger Trips": 699141, + "Average Passengers": 2.7653652961593815 }, { "NTD ID": 30202, @@ -4169,7 +4507,8 @@ "All Fuels (Wh/pkm)": 3218.368456827856, "Unlinked Passenger Trips": 254259, "Passenger Paid Fares": 360910, - "Average Fare": 1.4194581116106018 + "Average Fare": 1.4194581116106018, + "Average Passengers": 0.9388494505324179 }, { "NTD ID": 30202, @@ -4181,7 +4520,8 @@ "All Fuels (Wh/pkm)": 1104.7468193021211, "Unlinked Passenger Trips": 2793144, "Passenger Paid Fares": 2365258, - "Average Fare": 0.8468084710276305 + "Average Fare": 0.8468084710276305, + "Average Passengers": 3.7273639010805444 }, { "NTD ID": 40001, @@ -4193,7 +4533,8 @@ "All Fuels (Wh/pkm)": 3766.539399718325, "Unlinked Passenger Trips": 49418, "Passenger Paid Fares": 35435, - "Average Fare": 0.7170464203326723 + "Average Fare": 0.7170464203326723, + "Average Passengers": 0.7603382339319035 }, { "NTD ID": 40001, @@ -4205,7 +4546,8 @@ "All Fuels (Wh/pkm)": 183.28727696067517, "Unlinked Passenger Trips": 337613, "Passenger Paid Fares": 2326282, - "Average Fare": 6.89038040596778 + "Average Fare": 6.89038040596778, + "Average Passengers": 15.386004873397606 }, { "NTD ID": 40001, @@ -4221,7 +4563,8 @@ "All Fuels (Wh/pkm)": 1854.3449580701836, "Unlinked Passenger Trips": 1182866, "Passenger Paid Fares": 533944, - "Average Fare": 0.4513985523296806 + "Average Fare": 0.4513985523296806, + "Average Passengers": 2.9027320210916403 }, { "NTD ID": 40002, @@ -4233,7 +4576,8 @@ "All Fuels (Wh/pkm)": 3925.7335095016656, "Unlinked Passenger Trips": 64221, "Passenger Paid Fares": 50067, - "Average Fare": 0.7796048021675153 + "Average Fare": 0.7796048021675153, + "Average Passengers": 0.7932579846193831 }, { "NTD ID": 40002, @@ -4247,7 +4591,8 @@ "All Fuels (Wh/pkm)": 2460.2522749348996, "Unlinked Passenger Trips": 2139001, "Passenger Paid Fares": 359787, - "Average Fare": 0.16820328742249302 + "Average Fare": 0.16820328742249302, + "Average Passengers": 2.337529097081339 }, { "NTD ID": 40003, @@ -4259,7 +4604,8 @@ "All Fuels (Wh/pkm)": 3576.809234208851, "Unlinked Passenger Trips": 112626, "Passenger Paid Fares": 117219, - "Average Fare": 1.0407809919556763 + "Average Fare": 1.0407809919556763, + "Average Passengers": 0.6792810832967269 }, { "NTD ID": 40003, @@ -4273,7 +4619,8 @@ "All Fuels (Wh/pkm)": 1843.3082302972653, "Unlinked Passenger Trips": 2672504, "Passenger Paid Fares": 1342167, - "Average Fare": 0.5022132801297958 + "Average Fare": 0.5022132801297958, + "Average Passengers": 3.298189427826555 }, { "NTD ID": 40003, @@ -4285,7 +4632,8 @@ "All Fuels (Wh/pkm)": 2237.2536198724156, "Unlinked Passenger Trips": 150977, "Passenger Paid Fares": 68538, - "Average Fare": 0.45396318644561756 + "Average Fare": 0.45396318644561756, + "Average Passengers": 3.2422869280467297 }, { "NTD ID": 40004, @@ -4297,7 +4645,8 @@ "All Fuels (Wh/pkm)": 2441.869170075414, "Unlinked Passenger Trips": 216696, "Passenger Paid Fares": 579666, - "Average Fare": 2.675019381991361 + "Average Fare": 2.675019381991361, + "Average Passengers": 0.9510797068215833 }, { "NTD ID": 40004, @@ -4311,7 +4660,8 @@ "All Fuels (Wh/pkm)": 1720.7158879802785, "Unlinked Passenger Trips": 4150277, "Passenger Paid Fares": 1540478, - "Average Fare": 0.37117474327617167 + "Average Fare": 0.37117474327617167, + "Average Passengers": 3.3243583509264134 }, { "NTD ID": 40005, @@ -4325,7 +4675,8 @@ "All Fuels (Wh/pkm)": 2034.9817744991892, "Unlinked Passenger Trips": 1432189, "Passenger Paid Fares": 49570, - "Average Fare": 0.03461135366910373 + "Average Fare": 0.03461135366910373, + "Average Passengers": 2.7696061542925015 }, { "NTD ID": 40006, @@ -4337,7 +4688,8 @@ "All Fuels (Wh/pkm)": 4378.410051108877, "Unlinked Passenger Trips": 35843, "Passenger Paid Fares": 25339, - "Average Fare": 0.706944173199788 + "Average Fare": 0.706944173199788, + "Average Passengers": 0.849941286647322 }, { "NTD ID": 40006, @@ -4351,13 +4703,15 @@ "All Fuels (Wh/pkm)": 1538.336304554042, "Unlinked Passenger Trips": 528115, "Passenger Paid Fares": 370451, - "Average Fare": 0.7014589625365687 + "Average Fare": 0.7014589625365687, + "Average Passengers": 1.3685475282653439 }, { "NTD ID": 40006, "Mode": "VP", "UACE Code": "95833", - "Unlinked Passenger Trips": 1106 + "Unlinked Passenger Trips": 1106, + "Average Passengers": 1.2738645262333594 }, { "NTD ID": 40007, @@ -4373,7 +4727,8 @@ "All Fuels (Wh/pkm)": 1269.6954352995558, "Unlinked Passenger Trips": 3412723, "Passenger Paid Fares": 349, - "Average Fare": 0.0001022643794998891 + "Average Fare": 0.0001022643794998891, + "Average Passengers": 3.0228669729435187 }, { "NTD ID": 40008, @@ -4385,7 +4740,8 @@ "All Fuels (Wh/pkm)": 181.50629714476096, "Unlinked Passenger Trips": 38792, "Passenger Paid Fares": 388753, - "Average Fare": 10.021473499690657 + "Average Fare": 10.021473499690657, + "Average Passengers": 1.2351522382422808 }, { "NTD ID": 40008, @@ -4397,7 +4753,8 @@ "All Fuels (Wh/pkm)": 3412.653698587407, "Unlinked Passenger Trips": 142386, "Passenger Paid Fares": 451951, - "Average Fare": 3.1741252651243803 + "Average Fare": 3.1741252651243803, + "Average Passengers": 0.654588485439105 }, { "NTD ID": 40008, @@ -4409,7 +4766,8 @@ "All Fuels (Wh/pkm)": 352.93274322390715, "Unlinked Passenger Trips": 2599631, "Passenger Paid Fares": 1664464, - "Average Fare": 0.6402693305319102 + "Average Fare": 0.6402693305319102, + "Average Passengers": 14.628858319558457 }, { "NTD ID": 40008, @@ -4421,7 +4779,8 @@ "All Fuels (Wh/pkm)": 1992.3361733987763, "Unlinked Passenger Trips": 5906006, "Passenger Paid Fares": 5905622, - "Average Fare": 0.9999349814409264 + "Average Fare": 0.9999349814409264, + "Average Passengers": 2.4597215499569662 }, { "NTD ID": 40008, @@ -4433,7 +4792,8 @@ "All Fuels (Wh/pkm)": 412.97859241671824, "Unlinked Passenger Trips": 36820, "Passenger Paid Fares": 195739, - "Average Fare": 5.316105377512222 + "Average Fare": 5.316105377512222, + "Average Passengers": 3.6055267003650306 }, { "NTD ID": 40009, @@ -4444,7 +4804,8 @@ "All Fuels (Wh/pkm)": 3864.9402772274784, "Unlinked Passenger Trips": 49187, "Passenger Paid Fares": 105, - "Average Fare": 0.00213471039095696 + "Average Fare": 0.00213471039095696, + "Average Passengers": 0.8057170542635659 }, { "NTD ID": 40009, @@ -4459,7 +4820,8 @@ "All Fuels (Wh/pkm)": 888.7456918725919, "Unlinked Passenger Trips": 1663501, "Passenger Paid Fares": 3409, - "Average Fare": 0.002049292426034009 + "Average Fare": 0.002049292426034009, + "Average Passengers": 6.57777580499466 }, { "NTD ID": 40012, @@ -4471,7 +4833,8 @@ "All Fuels (Wh/pkm)": 2746.820752301501, "Unlinked Passenger Trips": 154804, "Passenger Paid Fares": 51702, - "Average Fare": 0.33398361799436704 + "Average Fare": 0.33398361799436704, + "Average Passengers": 1.1230499401702074 }, { "NTD ID": 40012, @@ -4485,7 +4848,8 @@ "All Fuels (Wh/pkm)": 2022.1217171780795, "Unlinked Passenger Trips": 1715494, "Passenger Paid Fares": 766452, - "Average Fare": 0.4467820930880551 + "Average Fare": 0.4467820930880551, + "Average Passengers": 2.5654902376856406 }, { "NTD ID": 40014, @@ -4498,7 +4862,8 @@ "All Fuels (Wh/pkm)": 2835.2289687819357, "Unlinked Passenger Trips": 29921, "Passenger Paid Fares": 20144, - "Average Fare": 0.6732395307643461 + "Average Fare": 0.6732395307643461, + "Average Passengers": 0.8072387065126491 }, { "NTD ID": 40014, @@ -4510,7 +4875,8 @@ "All Fuels (Wh/pkm)": 1320.8157066155425, "Unlinked Passenger Trips": 449449, "Passenger Paid Fares": 457774, - "Average Fare": 1.0185226799926133 + "Average Fare": 1.0185226799926133, + "Average Passengers": 2.342929220259984 }, { "NTD ID": 40014, @@ -4522,7 +4888,8 @@ "All Fuels (Wh/pkm)": 166.41334390733982, "Unlinked Passenger Trips": 43469, "Passenger Paid Fares": 262262, - "Average Fare": 6.033311095263291 + "Average Fare": 6.033311095263291, + "Average Passengers": 5.480101386718883 }, { "NTD ID": 40015, @@ -4534,7 +4901,8 @@ "Gasoline (Wh/pkm)": 3358.154323632016, "Diesel (Wh/pkm)": 3632.526371117324, "All Fuels (Wh/pkm)": 3398.5052271424297, - "Unlinked Passenger Trips": 45400 + "Unlinked Passenger Trips": 45400, + "Average Passengers": 0.8233022271016311 }, { "NTD ID": 40015, @@ -4544,7 +4912,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 4206.489308546378, "All Fuels (Wh/pkm)": 4206.489308546378, - "Unlinked Passenger Trips": 453964 + "Unlinked Passenger Trips": 453964, + "Average Passengers": 1.130831363486999 }, { "NTD ID": 40017, @@ -4562,7 +4931,8 @@ "All Fuels (Wh/pkm)": 902.2914025401216, "Unlinked Passenger Trips": 2383816, "Passenger Paid Fares": 378546, - "Average Fare": 0.15879833007245525 + "Average Fare": 0.15879833007245525, + "Average Passengers": 4.822166200597058 }, { "NTD ID": 40017, @@ -4574,7 +4944,8 @@ "All Fuels (Wh/pkm)": 366.7400280588947, "Unlinked Passenger Trips": 6331, "Passenger Paid Fares": 43254, - "Average Fare": 6.832096035381456 + "Average Fare": 6.832096035381456, + "Average Passengers": 3.3674889846511404 }, { "NTD ID": 40018, @@ -4586,7 +4957,8 @@ "All Fuels (Wh/pkm)": 1922.165897876251, "Unlinked Passenger Trips": 317882, "Passenger Paid Fares": 881371, - "Average Fare": 2.7726357579227514 + "Average Fare": 2.7726357579227514, + "Average Passengers": 1.6572682583134835 }, { "NTD ID": 40018, @@ -4602,7 +4974,8 @@ "All Fuels (Wh/pkm)": 1839.5132694669342, "Unlinked Passenger Trips": 4402747, "Passenger Paid Fares": 5580488, - "Average Fare": 1.267501403101291 + "Average Fare": 1.267501403101291, + "Average Passengers": 2.5307748383991298 }, { "NTD ID": 40019, @@ -4616,7 +4989,8 @@ "All Fuels (Wh/pkm)": 4936.100545819859, "Unlinked Passenger Trips": 56812, "Passenger Paid Fares": 135193, - "Average Fare": 2.3796557065408717 + "Average Fare": 2.3796557065408717, + "Average Passengers": 0.6103296744162984 }, { "NTD ID": 40019, @@ -4628,7 +5002,8 @@ "All Fuels (Wh/pkm)": 1868.8418532591909, "Unlinked Passenger Trips": 1328064, "Passenger Paid Fares": 1457609, - "Average Fare": 1.0975442448556696 + "Average Fare": 1.0975442448556696, + "Average Passengers": 2.634422756872359 }, { "NTD ID": 40021, @@ -4640,7 +5015,8 @@ "All Fuels (Wh/pkm)": 1020.0362999536928, "Unlinked Passenger Trips": 16537, "Passenger Paid Fares": 26509, - "Average Fare": 1.6030114289169741 + "Average Fare": 1.6030114289169741, + "Average Passengers": 0.9597279797183872 }, { "NTD ID": 40021, @@ -4654,7 +5030,8 @@ "All Fuels (Wh/pkm)": 364.96841465063693, "Unlinked Passenger Trips": 414723, "Passenger Paid Fares": 155457, - "Average Fare": 0.3748453787226655 + "Average Fare": 0.3748453787226655, + "Average Passengers": 3.935198107564891 }, { "NTD ID": 40022, @@ -4666,7 +5043,8 @@ "All Fuels (Wh/pkm)": 4607.238476139828, "Unlinked Passenger Trips": 427535, "Passenger Paid Fares": 499070, - "Average Fare": 1.1673196346497947 + "Average Fare": 1.1673196346497947, + "Average Passengers": 0.7151518338046379 }, { "NTD ID": 40022, @@ -4678,7 +5056,8 @@ "All Fuels (Wh/pkm)": 68.37797655028446, "Unlinked Passenger Trips": 18533621, "Passenger Paid Fares": 27194191, - "Average Fare": 1.467289689370469 + "Average Fare": 1.467289689370469, + "Average Passengers": 40.89960116670107 }, { "NTD ID": 40022, @@ -4692,7 +5071,8 @@ "All Fuels (Wh/pkm)": 653.1367720671194, "Unlinked Passenger Trips": 27346519, "Passenger Paid Fares": 23352633, - "Average Fare": 0.8539526730989052 + "Average Fare": 0.8539526730989052, + "Average Passengers": 4.073660899931597 }, { "NTD ID": 40022, @@ -4704,7 +5084,8 @@ "All Fuels (Wh/pkm)": 6170.008442150121, "Unlinked Passenger Trips": 86159, "Passenger Paid Fares": 29715, - "Average Fare": 0.3448856184496106 + "Average Fare": 0.3448856184496106, + "Average Passengers": 1.2952961836962065 }, { "NTD ID": 40023, @@ -4716,7 +5097,8 @@ "All Fuels (Wh/pkm)": 3712.4848361053873, "Unlinked Passenger Trips": 25187, "Passenger Paid Fares": 26191, - "Average Fare": 1.0398618334855283 + "Average Fare": 1.0398618334855283, + "Average Passengers": 0.7399142131831579 }, { "NTD ID": 40023, @@ -4728,7 +5110,8 @@ "All Fuels (Wh/pkm)": 1630.5933076921626, "Unlinked Passenger Trips": 505022, "Passenger Paid Fares": 152722, - "Average Fare": 0.3024066278300747 + "Average Fare": 0.3024066278300747, + "Average Passengers": 3.3730470775700314 }, { "NTD ID": 40025, @@ -4740,7 +5123,8 @@ "All Fuels (Wh/pkm)": 3632.762380025233, "Unlinked Passenger Trips": 90917, "Passenger Paid Fares": 71278, - "Average Fare": 0.7839897928880187 + "Average Fare": 0.7839897928880187, + "Average Passengers": 0.6338730876070953 }, { "NTD ID": 40025, @@ -4750,7 +5134,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 5502.721009943727, "All Fuels (Wh/pkm)": 5502.721009943727, - "Unlinked Passenger Trips": 369965 + "Unlinked Passenger Trips": 369965, + "Average Passengers": 11.269498997995992 }, { "NTD ID": 40025, @@ -4762,7 +5147,8 @@ "All Fuels (Wh/pkm)": 2040.861948324157, "Unlinked Passenger Trips": 1314806, "Passenger Paid Fares": 732762, - "Average Fare": 0.557315680031883 + "Average Fare": 0.557315680031883, + "Average Passengers": 2.1592693151627405 }, { "NTD ID": 40026, @@ -4776,7 +5162,8 @@ "All Fuels (Wh/pkm)": 4263.173012806635, "Unlinked Passenger Trips": 62413, "Passenger Paid Fares": 80016, - "Average Fare": 1.2820406005159182 + "Average Fare": 1.2820406005159182, + "Average Passengers": 0.7853987765107538 }, { "NTD ID": 40026, @@ -4788,7 +5175,8 @@ "All Fuels (Wh/pkm)": 1319.7454346522495, "Unlinked Passenger Trips": 1131515, "Passenger Paid Fares": 545489, - "Average Fare": 0.4820872900491818 + "Average Fare": 0.4820872900491818, + "Average Passengers": 3.3015272319129263 }, { "NTD ID": 40027, @@ -4804,7 +5192,8 @@ "All Fuels (Wh/pkm)": 1014.489361589201, "Unlinked Passenger Trips": 9853228, "Passenger Paid Fares": 344642, - "Average Fare": 0.03497757283196938 + "Average Fare": 0.03497757283196938, + "Average Passengers": 5.143348800114597 }, { "NTD ID": 40028, @@ -4817,7 +5206,8 @@ "All Fuels (Wh/pkm)": 4661.751310739866, "Unlinked Passenger Trips": 134348, "Passenger Paid Fares": 590817, - "Average Fare": 4.397661297525828 + "Average Fare": 4.397661297525828, + "Average Passengers": 0.8036274938614307 }, { "NTD ID": 40028, @@ -4831,7 +5221,8 @@ "All Fuels (Wh/pkm)": 1679.0616341061723, "Unlinked Passenger Trips": 1685810, "Passenger Paid Fares": 1617921, - "Average Fare": 0.9597291509719363 + "Average Fare": 0.9597291509719363, + "Average Passengers": 2.78436036038285 }, { "NTD ID": 40029, @@ -4842,7 +5233,8 @@ "All Fuels (Wh/pkm)": 4213.672412856042, "Unlinked Passenger Trips": 580964, "Passenger Paid Fares": 199503, - "Average Fare": 0.3433999352799829 + "Average Fare": 0.3433999352799829, + "Average Passengers": 0.44563361809045765 }, { "NTD ID": 40029, @@ -4855,7 +5247,8 @@ "All Fuels (Wh/pkm)": 1533.4828498435927, "Unlinked Passenger Trips": 14979396, "Passenger Paid Fares": 6475240, - "Average Fare": 0.4322764415868303 + "Average Fare": 0.4322764415868303, + "Average Passengers": 3.9341021860758274 }, { "NTD ID": 40030, @@ -4867,7 +5260,8 @@ "All Fuels (Wh/pkm)": 4904.184605191403, "Unlinked Passenger Trips": 37567, "Passenger Paid Fares": 112788, - "Average Fare": 3.0023158623259776 + "Average Fare": 3.0023158623259776, + "Average Passengers": 0.6968433797106042 }, { "NTD ID": 40030, @@ -4883,7 +5277,8 @@ "All Fuels (Wh/pkm)": 2185.761181483677, "Unlinked Passenger Trips": 2900475, "Passenger Paid Fares": 410116, - "Average Fare": 0.14139615063050018 + "Average Fare": 0.14139615063050018, + "Average Passengers": 2.696302467132261 }, { "NTD ID": 40030, @@ -4895,7 +5290,8 @@ "All Fuels (Wh/pkm)": 231.54861539463042, "Unlinked Passenger Trips": 14520, "Passenger Paid Fares": 69264, - "Average Fare": 4.770247933884297 + "Average Fare": 4.770247933884297, + "Average Passengers": 4.670951403806164 }, { "NTD ID": 40031, @@ -4907,7 +5303,8 @@ "All Fuels (Wh/pkm)": 2523.7712268694304, "Unlinked Passenger Trips": 72763, "Passenger Paid Fares": 106789, - "Average Fare": 1.4676277778541291 + "Average Fare": 1.4676277778541291, + "Average Passengers": 0.7382713931150363 }, { "NTD ID": 40031, @@ -4921,7 +5318,8 @@ "All Fuels (Wh/pkm)": 2509.349997513541, "Unlinked Passenger Trips": 558237, "Passenger Paid Fares": 270103, - "Average Fare": 0.4838500493517986 + "Average Fare": 0.4838500493517986, + "Average Passengers": 1.6878256822949895 }, { "NTD ID": 40032, @@ -4936,7 +5334,8 @@ "All Fuels (Wh/pkm)": 4647.354796618352, "Unlinked Passenger Trips": 218239, "Passenger Paid Fares": 493531, - "Average Fare": 2.261424401688058 + "Average Fare": 2.261424401688058, + "Average Passengers": 0.7969457710087792 }, { "NTD ID": 40032, @@ -4948,7 +5347,8 @@ "All Fuels (Wh/pkm)": 1687.806007325706, "Unlinked Passenger Trips": 2095394, "Passenger Paid Fares": 1867542, - "Average Fare": 0.8912605457493913 + "Average Fare": 0.8912605457493913, + "Average Passengers": 2.65988175287669 }, { "NTD ID": 40032, @@ -4960,7 +5360,8 @@ "All Fuels (Wh/pkm)": 207.5610969790502, "Unlinked Passenger Trips": 15373, "Passenger Paid Fares": 110646, - "Average Fare": 7.197424055161647 + "Average Fare": 7.197424055161647, + "Average Passengers": 4.071936911898995 }, { "NTD ID": 40034, @@ -4972,7 +5373,8 @@ "All Fuels (Wh/pkm)": 540.1925315198976, "Unlinked Passenger Trips": 354555, "Passenger Paid Fares": 49899, - "Average Fare": 0.1407369801582265 + "Average Fare": 0.1407369801582265, + "Average Passengers": 11.057227390099989 }, { "NTD ID": 40034, @@ -4984,7 +5386,8 @@ "All Fuels (Wh/pkm)": 1423.9691491532624, "Unlinked Passenger Trips": 1279670, "Passenger Paid Fares": 896110, - "Average Fare": 0.7002664749505731 + "Average Fare": 0.7002664749505731, + "Average Passengers": 0.9997494554809851 }, { "NTD ID": 40034, @@ -4996,7 +5399,8 @@ "All Fuels (Wh/pkm)": 134.33640742901972, "Unlinked Passenger Trips": 9390699, "Passenger Paid Fares": 1872119, - "Average Fare": 0.19935885496915617 + "Average Fare": 0.19935885496915617, + "Average Passengers": 53.02743147866576 }, { "NTD ID": 40034, @@ -5012,7 +5416,8 @@ "All Fuels (Wh/pkm)": 590.2306559915279, "Unlinked Passenger Trips": 36341606, "Passenger Paid Fares": 11290707, - "Average Fare": 0.3106826649323093 + "Average Fare": 0.3106826649323093, + "Average Passengers": 4.911475112396533 }, { "NTD ID": 40034, @@ -5022,7 +5427,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1394.6072438856152, "All Fuels (Wh/pkm)": 1394.6072438856152, - "Unlinked Passenger Trips": 3487207 + "Unlinked Passenger Trips": 3487207, + "Average Passengers": 4.381350536506807 }, { "NTD ID": 40034, @@ -5034,7 +5440,8 @@ "All Fuels (Wh/pkm)": 271.37984337789, "Unlinked Passenger Trips": 306044, "Passenger Paid Fares": 1556107, - "Average Fare": 5.084585876540628 + "Average Fare": 5.084585876540628, + "Average Passengers": 3.773276270755049 }, { "NTD ID": 40035, @@ -5046,7 +5453,8 @@ "All Fuels (Wh/pkm)": 3406.0994047045783, "Unlinked Passenger Trips": 530218, "Passenger Paid Fares": 1904583, - "Average Fare": 3.592075335050866 + "Average Fare": 3.592075335050866, + "Average Passengers": 0.6749386689066986 }, { "NTD ID": 40035, @@ -5062,7 +5470,8 @@ "All Fuels (Wh/pkm)": 892.0873338805494, "Unlinked Passenger Trips": 12880333, "Passenger Paid Fares": 13133339, - "Average Fare": 1.0196428151352919 + "Average Fare": 1.0196428151352919, + "Average Passengers": 4.096666042902009 }, { "NTD ID": 40035, @@ -5074,7 +5483,8 @@ "Diesel (Wh/pkm)": 1813.4195884677, "Electric (Wh/pkm)": 36.59882351586821, "All Fuels (Wh/pkm)": 1542.554862081899, - "Unlinked Passenger Trips": 456542 + "Unlinked Passenger Trips": 456542, + "Average Passengers": 1.541811026555446 }, { "NTD ID": 40035, @@ -5086,7 +5496,8 @@ "All Fuels (Wh/pkm)": 573.7777633425969, "Unlinked Passenger Trips": 263438, "Passenger Paid Fares": 827011, - "Average Fare": 3.1393003287300996 + "Average Fare": 3.1393003287300996, + "Average Passengers": 2.6972659622784647 }, { "NTD ID": 40036, @@ -5098,7 +5509,8 @@ "All Fuels (Wh/pkm)": 3385.1925352042804, "Unlinked Passenger Trips": 87964, "Passenger Paid Fares": 208578, - "Average Fare": 2.371174571415579 + "Average Fare": 2.371174571415579, + "Average Passengers": 0.9669326707741212 }, { "NTD ID": 40036, @@ -5114,7 +5526,8 @@ "All Fuels (Wh/pkm)": 2909.4146368939005, "Unlinked Passenger Trips": 1108458, "Passenger Paid Fares": 621022, - "Average Fare": 0.560257583056823 + "Average Fare": 0.560257583056823, + "Average Passengers": 1.6293667609302687 }, { "NTD ID": 40037, @@ -5126,7 +5539,8 @@ "All Fuels (Wh/pkm)": 4829.52378553039, "Unlinked Passenger Trips": 696832, "Passenger Paid Fares": 2319938, - "Average Fare": 3.3292644425055107 + "Average Fare": 3.3292644425055107, + "Average Passengers": 0.7976598052630901 }, { "NTD ID": 40037, @@ -5138,7 +5552,8 @@ "All Fuels (Wh/pkm)": 1559.4410556292446, "Unlinked Passenger Trips": 5919290, "Passenger Paid Fares": 5213000, - "Average Fare": 0.880679946412492 + "Average Fare": 0.880679946412492, + "Average Passengers": 3.9736218987427416 }, { "NTD ID": 40038, @@ -5150,7 +5565,8 @@ "All Fuels (Wh/pkm)": 2682.7105728289057, "Unlinked Passenger Trips": 97181, "Passenger Paid Fares": 184115, - "Average Fare": 1.8945575781274118 + "Average Fare": 1.8945575781274118, + "Average Passengers": 0.8165176759633292 }, { "NTD ID": 40038, @@ -5162,7 +5578,8 @@ "All Fuels (Wh/pkm)": 2762.384372471939, "Unlinked Passenger Trips": 675105, "Passenger Paid Fares": 348774, - "Average Fare": 0.516621858821961 + "Average Fare": 0.516621858821961, + "Average Passengers": 2.52581620291284 }, { "NTD ID": 40040, @@ -5170,7 +5587,8 @@ "UACE Code": "42346", "Unlinked Passenger Trips": 1734, "Passenger Paid Fares": 4536, - "Average Fare": 2.615916955017301 + "Average Fare": 2.615916955017301, + "Average Passengers": 0.2828135763805764 }, { "NTD ID": 40040, @@ -5182,7 +5600,8 @@ "All Fuels (Wh/pkm)": 3078.6379803475347, "Unlinked Passenger Trips": 251248, "Passenger Paid Fares": 534641, - "Average Fare": 2.1279413169458063 + "Average Fare": 2.1279413169458063, + "Average Passengers": 0.8707977682193505 }, { "NTD ID": 40040, @@ -5194,7 +5613,8 @@ "All Fuels (Wh/pkm)": 19268.820223878236, "Unlinked Passenger Trips": 323746, "Passenger Paid Fares": 1082338, - "Average Fare": 3.3431702631074978 + "Average Fare": 3.3431702631074978, + "Average Passengers": 21.6376058220704 }, { "NTD ID": 40040, @@ -5210,7 +5630,8 @@ "All Fuels (Wh/pkm)": 904.8073867477851, "Unlinked Passenger Trips": 5057031, "Passenger Paid Fares": 5575583, - "Average Fare": 1.102540799136885 + "Average Fare": 1.102540799136885, + "Average Passengers": 3.3771825914893747 }, { "NTD ID": 40040, @@ -5220,7 +5641,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 2269.064568820168, "All Fuels (Wh/pkm)": 2269.064568820168, - "Unlinked Passenger Trips": 287809 + "Unlinked Passenger Trips": 287809, + "Average Passengers": 2.042684206843468 }, { "NTD ID": 40041, @@ -5234,7 +5656,8 @@ "All Fuels (Wh/pkm)": 4151.473050417337, "Unlinked Passenger Trips": 142297, "Passenger Paid Fares": 267972, - "Average Fare": 1.8831879800698539 + "Average Fare": 1.8831879800698539, + "Average Passengers": 0.7259379261809313 }, { "NTD ID": 40041, @@ -5248,7 +5671,8 @@ "All Fuels (Wh/pkm)": 716.6126390063607, "Unlinked Passenger Trips": 9570801, "Passenger Paid Fares": 4392760, - "Average Fare": 0.4589751683270815 + "Average Fare": 0.4589751683270815, + "Average Passengers": 5.245972753758328 }, { "NTD ID": 40041, @@ -5258,7 +5682,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 447.43415077111734, "All Fuels (Wh/pkm)": 447.43415077111734, - "Unlinked Passenger Trips": 735086 + "Unlinked Passenger Trips": 735086, + "Average Passengers": 8.307149727476755 }, { "NTD ID": 40042, @@ -5272,7 +5697,8 @@ "All Fuels (Wh/pkm)": 1149.1952359452569, "Unlinked Passenger Trips": 91800, "Passenger Paid Fares": 74776, - "Average Fare": 0.8145533769063181 + "Average Fare": 0.8145533769063181, + "Average Passengers": 0.9381062637479394 }, { "NTD ID": 40042, @@ -5286,7 +5712,8 @@ "All Fuels (Wh/pkm)": 450.4676612387821, "Unlinked Passenger Trips": 1518934, "Passenger Paid Fares": 909341, - "Average Fare": 0.5986705149795843 + "Average Fare": 0.5986705149795843, + "Average Passengers": 4.554445801589412 }, { "NTD ID": 40043, @@ -5298,7 +5725,8 @@ "All Fuels (Wh/pkm)": 4746.829553891293, "Unlinked Passenger Trips": 51767, "Passenger Paid Fares": 66462, - "Average Fare": 1.2838681013000561 + "Average Fare": 1.2838681013000561, + "Average Passengers": 0.8042585628029396 }, { "NTD ID": 40043, @@ -5312,7 +5740,8 @@ "All Fuels (Wh/pkm)": 1656.774924497735, "Unlinked Passenger Trips": 452069, "Passenger Paid Fares": 323655, - "Average Fare": 0.7159415929869113 + "Average Fare": 0.7159415929869113, + "Average Passengers": 2.7204533120627046 }, { "NTD ID": 40044, @@ -5324,7 +5753,8 @@ "All Fuels (Wh/pkm)": 1971.9078323069152, "Unlinked Passenger Trips": 15828, "Passenger Paid Fares": 47944, - "Average Fare": 3.0290624210260297 + "Average Fare": 3.0290624210260297, + "Average Passengers": 0.6155950822094393 }, { "NTD ID": 40044, @@ -5334,7 +5764,8 @@ "Diesel (Wh/pkm)": 3484.492057801564, "Unlinked Passenger Trips": 308600, "Passenger Paid Fares": 314393, - "Average Fare": 1.0187718729747246 + "Average Fare": 1.0187718729747246, + "Average Passengers": 1.0800815054536737 }, { "NTD ID": 40046, @@ -5348,7 +5779,8 @@ "All Fuels (Wh/pkm)": 2018.022673764874, "Unlinked Passenger Trips": 190556, "Passenger Paid Fares": 104777, - "Average Fare": 0.5498488633262663 + "Average Fare": 0.5498488633262663, + "Average Passengers": 0.9912325003051751 }, { "NTD ID": 40046, @@ -5362,7 +5794,8 @@ "All Fuels (Wh/pkm)": 1075.0000807209076, "Unlinked Passenger Trips": 1901968, "Passenger Paid Fares": 222973, - "Average Fare": 0.11723278204470317 + "Average Fare": 0.11723278204470317, + "Average Passengers": 3.719655481570279 }, { "NTD ID": 40047, @@ -5374,7 +5807,8 @@ "All Fuels (Wh/pkm)": 3527.6443052592977, "Unlinked Passenger Trips": 3836, "Passenger Paid Fares": 4486, - "Average Fare": 1.1694473409801878 + "Average Fare": 1.1694473409801878, + "Average Passengers": 0.5039780810369355 }, { "NTD ID": 40047, @@ -5386,7 +5820,8 @@ "All Fuels (Wh/pkm)": 1924.9440937207326, "Unlinked Passenger Trips": 627821, "Passenger Paid Fares": 40388, - "Average Fare": 0.06433043813443641 + "Average Fare": 0.06433043813443641, + "Average Passengers": 2.779995338160331 }, { "NTD ID": 40051, @@ -5396,7 +5831,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 6610.335228859694, "All Fuels (Wh/pkm)": 6610.335228859694, - "Unlinked Passenger Trips": 37632 + "Unlinked Passenger Trips": 37632, + "Average Passengers": 0.5546908890640856 }, { "NTD ID": 40051, @@ -5406,7 +5842,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2705.317242571372, "All Fuels (Wh/pkm)": 2705.317242571372, - "Unlinked Passenger Trips": 1559434 + "Unlinked Passenger Trips": 1559434, + "Average Passengers": 1.931002605624957 }, { "NTD ID": 40053, @@ -5414,7 +5851,8 @@ "UACE Code": "35461", "Unlinked Passenger Trips": 7467, "Passenger Paid Fares": 20256, - "Average Fare": 2.7127360385697066 + "Average Fare": 2.7127360385697066, + "Average Passengers": 0.4798360876979891 }, { "NTD ID": 40053, @@ -5430,7 +5868,8 @@ "All Fuels (Wh/pkm)": 1443.1562948908875, "Unlinked Passenger Trips": 558133, "Passenger Paid Fares": 479278, - "Average Fare": 0.8587164708053456 + "Average Fare": 0.8587164708053456, + "Average Passengers": 3.1232097095898306 }, { "NTD ID": 40057, @@ -5442,7 +5881,8 @@ "All Fuels (Wh/pkm)": 2529.0223765496867, "Unlinked Passenger Trips": 27198, "Passenger Paid Fares": 29853, - "Average Fare": 1.097617471872932 + "Average Fare": 1.097617471872932, + "Average Passengers": 0.8319034624818169 }, { "NTD ID": 40057, @@ -5454,7 +5894,8 @@ "All Fuels (Wh/pkm)": 1733.315233349302, "Unlinked Passenger Trips": 306218, "Passenger Paid Fares": 188725, - "Average Fare": 0.6163092959917444 + "Average Fare": 0.6163092959917444, + "Average Passengers": 2.852969176666689 }, { "NTD ID": 40058, @@ -5468,7 +5909,8 @@ "All Fuels (Wh/pkm)": 3603.1896518622143, "Unlinked Passenger Trips": 20419, "Passenger Paid Fares": 13584, - "Average Fare": 0.665262745482149 + "Average Fare": 0.665262745482149, + "Average Passengers": 0.8634285714285713 }, { "NTD ID": 40058, @@ -5482,7 +5924,8 @@ "All Fuels (Wh/pkm)": 2901.957980902476, "Unlinked Passenger Trips": 78494, "Passenger Paid Fares": 40373, - "Average Fare": 0.5143450454811833 + "Average Fare": 0.5143450454811833, + "Average Passengers": 1.3953065523485717 }, { "NTD ID": 40063, @@ -5496,7 +5939,8 @@ "All Fuels (Wh/pkm)": 781.3730109851674, "Unlinked Passenger Trips": 61107, "Passenger Paid Fares": 159310, - "Average Fare": 2.607066293550657 + "Average Fare": 2.607066293550657, + "Average Passengers": 1.4667852906287069 }, { "NTD ID": 40063, @@ -5508,7 +5952,8 @@ "All Fuels (Wh/pkm)": 4094.499694375048, "Unlinked Passenger Trips": 1515062, "Passenger Paid Fares": 653091, - "Average Fare": 0.4310655273513559 + "Average Fare": 0.4310655273513559, + "Average Passengers": 4.218830832404495 }, { "NTD ID": 40063, @@ -5516,7 +5961,8 @@ "UACE Code": "67105", "Unlinked Passenger Trips": 30052, "Passenger Paid Fares": 178099, - "Average Fare": 5.926360974311194 + "Average Fare": 5.926360974311194, + "Average Passengers": 3.5661533637361367 }, { "NTD ID": 40068, @@ -5530,7 +5976,8 @@ "All Fuels (Wh/pkm)": 1960.882779165043, "Unlinked Passenger Trips": 49954, "Passenger Paid Fares": 75933, - "Average Fare": 1.5200584537774753 + "Average Fare": 1.5200584537774753, + "Average Passengers": 1.5765172690862728 }, { "NTD ID": 40071, @@ -5542,7 +5989,8 @@ "All Fuels (Wh/pkm)": 3932.074003180947, "Unlinked Passenger Trips": 71730, "Passenger Paid Fares": 104140, - "Average Fare": 1.451833263627492 + "Average Fare": 1.451833263627492, + "Average Passengers": 0.786916252315492 }, { "NTD ID": 40071, @@ -5554,7 +6002,8 @@ "All Fuels (Wh/pkm)": 1825.662911820181, "Unlinked Passenger Trips": 478120, "Passenger Paid Fares": 213958, - "Average Fare": 0.4474985359324019 + "Average Fare": 0.4474985359324019, + "Average Passengers": 2.409921965512802 }, { "NTD ID": 40074, @@ -5568,7 +6017,8 @@ "All Fuels (Wh/pkm)": 4740.143512234514, "Unlinked Passenger Trips": 39215, "Passenger Paid Fares": 30748, - "Average Fare": 0.7840877215351268 + "Average Fare": 0.7840877215351268, + "Average Passengers": 0.6201167191577618 }, { "NTD ID": 40074, @@ -5580,7 +6030,8 @@ "All Fuels (Wh/pkm)": 2307.9378169322276, "Unlinked Passenger Trips": 551765, "Passenger Paid Fares": 529265, - "Average Fare": 0.9592217701376492 + "Average Fare": 0.9592217701376492, + "Average Passengers": 1.905182502237261 }, { "NTD ID": 40077, @@ -5592,7 +6043,8 @@ "All Fuels (Wh/pkm)": 929.4231327006248, "Unlinked Passenger Trips": 2029609, "Passenger Paid Fares": 4500152, - "Average Fare": 2.217250711836615 + "Average Fare": 2.217250711836615, + "Average Passengers": 56.068784228262814 }, { "NTD ID": 40077, @@ -5602,7 +6054,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2527.503950754783, "All Fuels (Wh/pkm)": 2527.503950754783, - "Unlinked Passenger Trips": 281019 + "Unlinked Passenger Trips": 281019, + "Average Passengers": 1.6820255464093103 }, { "NTD ID": 40078, @@ -5614,7 +6067,8 @@ "All Fuels (Wh/pkm)": 1524.5828070976752, "Unlinked Passenger Trips": 35784, "Passenger Paid Fares": 12826, - "Average Fare": 0.3584283478649676 + "Average Fare": 0.3584283478649676, + "Average Passengers": 3.346214538696216 }, { "NTD ID": 40078, @@ -5626,7 +6080,8 @@ "All Fuels (Wh/pkm)": 3195.8120574429427, "Unlinked Passenger Trips": 68300, "Passenger Paid Fares": 53996, - "Average Fare": 0.7905710102489019 + "Average Fare": 0.7905710102489019, + "Average Passengers": 0.8278114647636561 }, { "NTD ID": 40078, @@ -5640,7 +6095,8 @@ "All Fuels (Wh/pkm)": 2381.6287377626486, "Unlinked Passenger Trips": 1230761, "Passenger Paid Fares": 1419875, - "Average Fare": 1.1536561525755205 + "Average Fare": 1.1536561525755205, + "Average Passengers": 1.7672294430435096 }, { "NTD ID": 40082, @@ -5652,7 +6108,8 @@ "All Fuels (Wh/pkm)": 2706.0545336044884, "Unlinked Passenger Trips": 10442, "Passenger Paid Fares": 6154, - "Average Fare": 0.5893506990997893 + "Average Fare": 0.5893506990997893, + "Average Passengers": 1.0692226227789605 }, { "NTD ID": 40082, @@ -5660,7 +6117,8 @@ "UACE Code": "03817", "Unlinked Passenger Trips": 15887, "Passenger Paid Fares": 23723, - "Average Fare": 1.4932334613205767 + "Average Fare": 1.4932334613205767, + "Average Passengers": 0.37544751667922616 }, { "NTD ID": 40086, @@ -5674,7 +6132,8 @@ "All Fuels (Wh/pkm)": 2715.2918575459034, "Unlinked Passenger Trips": 36800, "Passenger Paid Fares": 37050, - "Average Fare": 1.0067934782608696 + "Average Fare": 1.0067934782608696, + "Average Passengers": 1.031279223219514 }, { "NTD ID": 40086, @@ -5686,7 +6145,8 @@ "All Fuels (Wh/pkm)": 2136.055601531187, "Unlinked Passenger Trips": 839200, "Passenger Paid Fares": 467073, - "Average Fare": 0.5565693517635844 + "Average Fare": 0.5565693517635844, + "Average Passengers": 4.512257076524634 }, { "NTD ID": 40087, @@ -5696,7 +6156,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2890.293175748946, "All Fuels (Wh/pkm)": 2890.293175748946, - "Unlinked Passenger Trips": 115328 + "Unlinked Passenger Trips": 115328, + "Average Passengers": 0.9833014290468396 }, { "NTD ID": 40087, @@ -5706,7 +6167,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1003.1018529536603, "All Fuels (Wh/pkm)": 1003.1018529536603, - "Unlinked Passenger Trips": 4403671 + "Unlinked Passenger Trips": 4403671, + "Average Passengers": 4.693709232561641 }, { "NTD ID": 40093, @@ -5718,7 +6180,8 @@ "All Fuels (Wh/pkm)": 4494.1666946853475, "Unlinked Passenger Trips": 161811, "Passenger Paid Fares": 86746, - "Average Fare": 0.5360945794785275 + "Average Fare": 0.5360945794785275, + "Average Passengers": 0.7668913041400208 }, { "NTD ID": 40093, @@ -5732,7 +6195,8 @@ "All Fuels (Wh/pkm)": 1387.9560846941893, "Unlinked Passenger Trips": 1799147, "Passenger Paid Fares": 578867, - "Average Fare": 0.3217452492764627 + "Average Fare": 0.3217452492764627, + "Average Passengers": 2.9737505271647047 }, { "NTD ID": 40094, @@ -5744,7 +6208,8 @@ "All Fuels (Wh/pkm)": 59.15777246535207, "Unlinked Passenger Trips": 133, "Passenger Paid Fares": 114, - "Average Fare": 0.8571428571428571 + "Average Fare": 0.8571428571428571, + "Average Passengers": 0.21880492091388404 }, { "NTD ID": 40094, @@ -5756,7 +6221,8 @@ "All Fuels (Wh/pkm)": 180.47591018073211, "Unlinked Passenger Trips": 836028, "Passenger Paid Fares": 1200869, - "Average Fare": 1.4363980632227629 + "Average Fare": 1.4363980632227629, + "Average Passengers": 9.01787601268052 }, { "NTD ID": 40094, @@ -5768,7 +6234,8 @@ "All Fuels (Wh/pkm)": 3651.896168243922, "Unlinked Passenger Trips": 409111, "Passenger Paid Fares": 200237, - "Average Fare": 0.48944418507446635 + "Average Fare": 0.48944418507446635, + "Average Passengers": 2.329736891917471 }, { "NTD ID": 40100, @@ -5779,7 +6246,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 3342.2125848101155, "All Fuels (Wh/pkm)": 274.45508128296865, - "Unlinked Passenger Trips": 2448 + "Unlinked Passenger Trips": 2448, + "Average Passengers": 2.6777064692931094 }, { "NTD ID": 40100, @@ -5791,7 +6259,8 @@ "All Fuels (Wh/pkm)": 1033.423610847799, "Unlinked Passenger Trips": 10237, "Passenger Paid Fares": 3053, - "Average Fare": 0.2982319038780893 + "Average Fare": 0.2982319038780893, + "Average Passengers": 0.8721973345908136 }, { "NTD ID": 40100, @@ -5805,7 +6274,8 @@ "All Fuels (Wh/pkm)": 2131.634172782898, "Unlinked Passenger Trips": 86026, "Passenger Paid Fares": 7185, - "Average Fare": 0.08352126101411202 + "Average Fare": 0.08352126101411202, + "Average Passengers": 1.9197747268902812 }, { "NTD ID": 40104, @@ -5815,7 +6285,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2769.5606540762606, "All Fuels (Wh/pkm)": 2769.5606540762606, - "Unlinked Passenger Trips": 24207 + "Unlinked Passenger Trips": 24207, + "Average Passengers": 0.6071002730874264 }, { "NTD ID": 40104, @@ -5827,7 +6298,8 @@ "Gasoline (Wh/pkm)": 454.86925611312876, "Diesel (Wh/pkm)": 397.33719048192717, "All Fuels (Wh/pkm)": 411.02257168113414, - "Unlinked Passenger Trips": 1138698 + "Unlinked Passenger Trips": 1138698, + "Average Passengers": 6.087808629788461 }, { "NTD ID": 40108, @@ -5839,7 +6311,8 @@ "All Fuels (Wh/pkm)": 1997.308516485415, "Unlinked Passenger Trips": 28123, "Passenger Paid Fares": 2513, - "Average Fare": 0.08935746541976318 + "Average Fare": 0.08935746541976318, + "Average Passengers": 1.3605859390168413 }, { "NTD ID": 40108, @@ -5851,7 +6324,8 @@ "All Fuels (Wh/pkm)": 1491.608517528085, "Unlinked Passenger Trips": 1167033, "Passenger Paid Fares": 10408, - "Average Fare": 0.00891834249759861 + "Average Fare": 0.00891834249759861, + "Average Passengers": 3.0749046396799335 }, { "NTD ID": 40108, @@ -5863,7 +6337,8 @@ "All Fuels (Wh/pkm)": 558.5612763156723, "Unlinked Passenger Trips": 24457, "Passenger Paid Fares": 124883, - "Average Fare": 5.106227256000327 + "Average Fare": 5.106227256000327, + "Average Passengers": 4.073119550625632 }, { "NTD ID": 40110, @@ -5875,7 +6350,8 @@ "All Fuels (Wh/pkm)": 210.48645133004422, "Unlinked Passenger Trips": 63189, "Passenger Paid Fares": 79587, - "Average Fare": 1.2595071927075916 + "Average Fare": 1.2595071927075916, + "Average Passengers": 3.9329536020090785 }, { "NTD ID": 40110, @@ -5887,7 +6363,8 @@ "All Fuels (Wh/pkm)": 1810.6472242402363, "Unlinked Passenger Trips": 62568, "Passenger Paid Fares": 79586, - "Average Fare": 1.271992072624984 + "Average Fare": 1.271992072624984, + "Average Passengers": 0.9369334612840896 }, { "NTD ID": 40110, @@ -5903,7 +6380,8 @@ "All Fuels (Wh/pkm)": 1645.6948617963294, "Unlinked Passenger Trips": 1832519, "Passenger Paid Fares": 2493712, - "Average Fare": 1.3608109929555983 + "Average Fare": 1.3608109929555983, + "Average Passengers": 3.2980090402671913 }, { "NTD ID": 40128, @@ -5915,7 +6393,8 @@ "All Fuels (Wh/pkm)": 3580.7219983054874, "Unlinked Passenger Trips": 40860, "Passenger Paid Fares": 83914, - "Average Fare": 2.0536955457660304 + "Average Fare": 2.0536955457660304, + "Average Passengers": 0.7667514344634518 }, { "NTD ID": 40128, @@ -5927,7 +6406,8 @@ "All Fuels (Wh/pkm)": 3615.731467712534, "Unlinked Passenger Trips": 53071, "Passenger Paid Fares": 56730, - "Average Fare": 1.068945375063594 + "Average Fare": 1.068945375063594, + "Average Passengers": 0.7892848000819127 }, { "NTD ID": 40129, @@ -5939,7 +6419,8 @@ "Gasoline (Wh/pkm)": 2346.7314584189826, "Diesel (Wh/pkm)": 1587.2248692570233, "All Fuels (Wh/pkm)": 1939.1431769246472, - "Unlinked Passenger Trips": 60824 + "Unlinked Passenger Trips": 60824, + "Average Passengers": 1.1079480108085307 }, { "NTD ID": 40138, @@ -5951,7 +6432,8 @@ "All Fuels (Wh/pkm)": 1815.8657548546203, "Unlinked Passenger Trips": 80482, "Passenger Paid Fares": 516463, - "Average Fare": 6.417124325936234 + "Average Fare": 6.417124325936234, + "Average Passengers": 2.24931911905871 }, { "NTD ID": 40138, @@ -5963,7 +6445,8 @@ "All Fuels (Wh/pkm)": 6055.653288362725, "Unlinked Passenger Trips": 20342, "Passenger Paid Fares": 41729, - "Average Fare": 2.051371546553928 + "Average Fare": 2.051371546553928, + "Average Passengers": 0.5630511742247255 }, { "NTD ID": 40138, @@ -5975,7 +6458,8 @@ "All Fuels (Wh/pkm)": 1563.187058186451, "Unlinked Passenger Trips": 728343, "Passenger Paid Fares": 927931, - "Average Fare": 1.27403023026239 + "Average Fare": 1.27403023026239, + "Average Passengers": 2.8646282800791183 }, { "NTD ID": 40140, @@ -5989,7 +6473,8 @@ "All Fuels (Wh/pkm)": 2992.875292772848, "Unlinked Passenger Trips": 75308, "Passenger Paid Fares": 172857, - "Average Fare": 2.2953338290752643 + "Average Fare": 2.2953338290752643, + "Average Passengers": 0.9293221165781027 }, { "NTD ID": 40140, @@ -6003,7 +6488,8 @@ "All Fuels (Wh/pkm)": 1630.5218750596057, "Unlinked Passenger Trips": 574101, "Passenger Paid Fares": 663006, - "Average Fare": 1.1548595107829458 + "Average Fare": 1.1548595107829458, + "Average Passengers": 2.753232707673396 }, { "NTD ID": 40141, @@ -6014,7 +6500,8 @@ "All Fuels (Wh/pkm)": 4668.720210199671, "Unlinked Passenger Trips": 1176, "Passenger Paid Fares": 2166, - "Average Fare": 1.8418367346938775 + "Average Fare": 1.8418367346938775, + "Average Passengers": 3.5360273192942513 }, { "NTD ID": 40141, @@ -6027,7 +6514,8 @@ "All Fuels (Wh/pkm)": 2602.842417713104, "Unlinked Passenger Trips": 55424, "Passenger Paid Fares": 99333, - "Average Fare": 1.792238019630485 + "Average Fare": 1.792238019630485, + "Average Passengers": 1.2294896657941494 }, { "NTD ID": 40141, @@ -6040,7 +6528,8 @@ "All Fuels (Wh/pkm)": 2285.7316492581344, "Unlinked Passenger Trips": 2028056, "Passenger Paid Fares": 168939, - "Average Fare": 0.08330095421428205 + "Average Fare": 0.08330095421428205, + "Average Passengers": 2.7742716998851478 }, { "NTD ID": 40141, @@ -6052,7 +6541,8 @@ "All Fuels (Wh/pkm)": 314.22465447974713, "Unlinked Passenger Trips": 31059, "Passenger Paid Fares": 180843, - "Average Fare": 5.822563508161886 + "Average Fare": 5.822563508161886, + "Average Passengers": 4.307409155261916 }, { "NTD ID": 40147, @@ -6062,7 +6552,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 3662.667761049152, "All Fuels (Wh/pkm)": 3662.667761049152, - "Unlinked Passenger Trips": 480984 + "Unlinked Passenger Trips": 480984, + "Average Passengers": 1.5073142596491493 }, { "NTD ID": 40158, @@ -6074,7 +6565,8 @@ "All Fuels (Wh/pkm)": 3857.391042818431, "Unlinked Passenger Trips": 63363, "Passenger Paid Fares": 86494, - "Average Fare": 1.3650553161939933 + "Average Fare": 1.3650553161939933, + "Average Passengers": 0.8021448816168917 }, { "NTD ID": 40158, @@ -6088,7 +6580,8 @@ "All Fuels (Wh/pkm)": 2023.5181923970883, "Unlinked Passenger Trips": 183419, "Passenger Paid Fares": 90424, - "Average Fare": 0.49299145671931477 + "Average Fare": 0.49299145671931477, + "Average Passengers": 2.0571023187132282 }, { "NTD ID": 40159, @@ -6100,7 +6593,8 @@ "All Fuels (Wh/pkm)": 2149.8026035383214, "Unlinked Passenger Trips": 28065, "Passenger Paid Fares": 80236, - "Average Fare": 2.858934616069838 + "Average Fare": 2.858934616069838, + "Average Passengers": 1.9633831669387245 }, { "NTD ID": 40159, @@ -6108,7 +6602,8 @@ "UACE Code": "61273", "Unlinked Passenger Trips": 34859, "Passenger Paid Fares": 98044, - "Average Fare": 2.8125878539258156 + "Average Fare": 2.8125878539258156, + "Average Passengers": 9.122087177667376 }, { "NTD ID": 40159, @@ -6120,7 +6615,8 @@ "All Fuels (Wh/pkm)": 182.67791477123885, "Unlinked Passenger Trips": 18924, "Passenger Paid Fares": 63741, - "Average Fare": 3.368262523779328 + "Average Fare": 3.368262523779328, + "Average Passengers": 7.280810283725124 }, { "NTD ID": 40169, @@ -6132,7 +6628,8 @@ "All Fuels (Wh/pkm)": 255.79034198179704, "Unlinked Passenger Trips": 46349, "Passenger Paid Fares": 260733, - "Average Fare": 5.6254288118406 + "Average Fare": 5.6254288118406, + "Average Passengers": 4.136648318004792 }, { "NTD ID": 40171, @@ -6144,7 +6641,8 @@ "All Fuels (Wh/pkm)": 2480.121243806077, "Unlinked Passenger Trips": 90902, "Passenger Paid Fares": 1259, - "Average Fare": 0.013850080306263888 + "Average Fare": 0.013850080306263888, + "Average Passengers": 1.1789248742215503 }, { "NTD ID": 40172, @@ -6158,7 +6656,8 @@ "All Fuels (Wh/pkm)": 1667.312944760569, "Unlinked Passenger Trips": 41914, "Passenger Paid Fares": 25, - "Average Fare": 0.0005964594169012741 + "Average Fare": 0.0005964594169012741, + "Average Passengers": 1.1987533432063835 }, { "NTD ID": 40172, @@ -6172,7 +6671,8 @@ "All Fuels (Wh/pkm)": 3473.72584960726, "Unlinked Passenger Trips": 89385, "Passenger Paid Fares": 2, - "Average Fare": 2.2375118867818985e-05 + "Average Fare": 2.2375118867818985e-05, + "Average Passengers": 1.3846157917859845 }, { "NTD ID": 40173, @@ -6186,7 +6686,8 @@ "All Fuels (Wh/pkm)": 2173.2210317434724, "Unlinked Passenger Trips": 214171, "Passenger Paid Fares": 311012, - "Average Fare": 1.4521667265876332 + "Average Fare": 1.4521667265876332, + "Average Passengers": 1.6000775741364923 }, { "NTD ID": 40173, @@ -6198,7 +6699,8 @@ "All Fuels (Wh/pkm)": 115.0288774368485, "Unlinked Passenger Trips": 68565, "Passenger Paid Fares": 229370, - "Average Fare": 3.345292787865529 + "Average Fare": 3.345292787865529, + "Average Passengers": 8.740568748095756 }, { "NTD ID": 40178, @@ -6210,7 +6712,8 @@ "All Fuels (Wh/pkm)": 186.87350546209055, "Unlinked Passenger Trips": 80958, "Passenger Paid Fares": 425990, - "Average Fare": 5.261864176486573 + "Average Fare": 5.261864176486573, + "Average Passengers": 6.354321676755307 }, { "NTD ID": 40180, @@ -6222,7 +6725,8 @@ "Diesel (Wh/pkm)": 4085.059762246474, "Electric (Wh/pkm)": 1311.4795426045537, "All Fuels (Wh/pkm)": 2981.333951540497, - "Unlinked Passenger Trips": 885319 + "Unlinked Passenger Trips": 885319, + "Average Passengers": 1.80530102480946 }, { "NTD ID": 40185, @@ -6234,7 +6738,8 @@ "All Fuels (Wh/pkm)": 2029.6202681762086, "Unlinked Passenger Trips": 38978, "Passenger Paid Fares": 22239, - "Average Fare": 0.570552619426343 + "Average Fare": 0.570552619426343, + "Average Passengers": 1.4418498395891892 }, { "NTD ID": 40185, @@ -6246,7 +6751,8 @@ "All Fuels (Wh/pkm)": 1124.4870745296075, "Unlinked Passenger Trips": 329927, "Passenger Paid Fares": 384524, - "Average Fare": 1.1654820611832315 + "Average Fare": 1.1654820611832315, + "Average Passengers": 3.3626159534564035 }, { "NTD ID": 40191, @@ -6260,7 +6766,8 @@ "All Fuels (Wh/pkm)": 3124.8301695651203, "Unlinked Passenger Trips": 70559, "Passenger Paid Fares": 265167, - "Average Fare": 3.7580889751838886 + "Average Fare": 3.7580889751838886, + "Average Passengers": 0.7539804164586525 }, { "NTD ID": 40191, @@ -6270,7 +6777,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 241.22481129441132, "All Fuels (Wh/pkm)": 241.22481129441132, - "Unlinked Passenger Trips": 4266 + "Unlinked Passenger Trips": 4266, + "Average Passengers": 5.2 }, { "NTD ID": 40192, @@ -6282,7 +6790,8 @@ "All Fuels (Wh/pkm)": 4072.7136118156272, "Unlinked Passenger Trips": 6825, "Passenger Paid Fares": 8971, - "Average Fare": 1.3144322344322343 + "Average Fare": 1.3144322344322343, + "Average Passengers": 0.8747041158805864 }, { "NTD ID": 40192, @@ -6294,7 +6803,8 @@ "All Fuels (Wh/pkm)": 5388.081141789898, "Unlinked Passenger Trips": 3186, "Passenger Paid Fares": 9099, - "Average Fare": 2.8559322033898304 + "Average Fare": 2.8559322033898304, + "Average Passengers": 0.6510604241696679 }, { "NTD ID": 40192, @@ -6302,7 +6812,8 @@ "UACE Code": "71479", "Unlinked Passenger Trips": 63422, "Passenger Paid Fares": 76761, - "Average Fare": 1.2103213395982466 + "Average Fare": 1.2103213395982466, + "Average Passengers": 0.847726503194801 }, { "NTD ID": 40196, @@ -6315,7 +6826,8 @@ "All Fuels (Wh/pkm)": 400.5453427578925, "Unlinked Passenger Trips": 30486, "Passenger Paid Fares": 165815, - "Average Fare": 5.439053991996326 + "Average Fare": 5.439053991996326, + "Average Passengers": 3.2044296328085187 }, { "NTD ID": 40200, @@ -6327,7 +6839,8 @@ "All Fuels (Wh/pkm)": 330.39777926475233, "Unlinked Passenger Trips": 231952, "Passenger Paid Fares": 1695319, - "Average Fare": 7.308921673449679 + "Average Fare": 7.308921673449679, + "Average Passengers": 3.138008638412017 }, { "NTD ID": 40208, @@ -6339,7 +6852,8 @@ "Diesel (Wh/pkm)": 712.147471518286, "Electric (Wh/pkm)": 189.35393021131864, "All Fuels (Wh/pkm)": 402.0792122516053, - "Unlinked Passenger Trips": 237904 + "Unlinked Passenger Trips": 237904, + "Average Passengers": 7.708758232990109 }, { "NTD ID": 40222, @@ -6351,7 +6865,8 @@ "All Fuels (Wh/pkm)": 2752.930770604265, "Unlinked Passenger Trips": 123681, "Passenger Paid Fares": 70526, - "Average Fare": 0.5702250143514364 + "Average Fare": 0.5702250143514364, + "Average Passengers": 0.6049671707350552 }, { "NTD ID": 40224, @@ -6365,7 +6880,8 @@ "All Fuels (Wh/pkm)": 907.6544226830046, "Unlinked Passenger Trips": 70327, "Passenger Paid Fares": 7400, - "Average Fare": 0.1052227451761059 + "Average Fare": 0.1052227451761059, + "Average Passengers": 0.9489109133312249 }, { "NTD ID": 40228, @@ -6377,7 +6893,8 @@ "All Fuels (Wh/pkm)": 493.5274335689633, "Unlinked Passenger Trips": 273672, "Passenger Paid Fares": 92023, - "Average Fare": 0.3362528866672513 + "Average Fare": 0.3362528866672513, + "Average Passengers": 6.061448620282325 }, { "NTD ID": 40232, @@ -6389,7 +6906,8 @@ "All Fuels (Wh/pkm)": 2332.873529679286, "Unlinked Passenger Trips": 623705, "Passenger Paid Fares": 1072432, - "Average Fare": 1.7194539084984086 + "Average Fare": 1.7194539084984086, + "Average Passengers": 20.88668267418094 }, { "NTD ID": 40244, @@ -6398,7 +6916,8 @@ "Other (%)": 13.439925459156226, "Unlinked Passenger Trips": 83982, "Passenger Paid Fares": 143632, - "Average Fare": 1.7102712486008906 + "Average Fare": 1.7102712486008906, + "Average Passengers": 0.8731092944240355 }, { "NTD ID": 40265, @@ -6410,7 +6929,8 @@ "All Fuels (Wh/pkm)": 2322.953231567191, "Unlinked Passenger Trips": 109267, "Passenger Paid Fares": 26792, - "Average Fare": 0.24519754363165458 + "Average Fare": 0.24519754363165458, + "Average Passengers": 1.1764527862650953 }, { "NTD ID": 40928, @@ -6422,7 +6942,8 @@ "All Fuels (Wh/pkm)": 1372.7275714465907, "Unlinked Passenger Trips": 70029, "Passenger Paid Fares": 159312, - "Average Fare": 2.2749432378014824 + "Average Fare": 2.2749432378014824, + "Average Passengers": 2.0765885975805025 }, { "NTD ID": 40950, @@ -6435,7 +6956,8 @@ "All Fuels (Wh/pkm)": 1945.4446226687432, "Unlinked Passenger Trips": 102945, "Passenger Paid Fares": 225444, - "Average Fare": 2.189946087716742 + "Average Fare": 2.189946087716742, + "Average Passengers": 0.7085970053311076 }, { "NTD ID": 41105, @@ -6443,7 +6965,8 @@ "UACE Code": "66484", "Unlinked Passenger Trips": 86876, "Passenger Paid Fares": 121601, - "Average Fare": 1.399707629264699 + "Average Fare": 1.399707629264699, + "Average Passengers": 0.8473862236529575 }, { "NTD ID": 41199, @@ -6451,7 +6974,8 @@ "UACE Code": "71479", "Diesel (%)": 34.5850508810204, "Diesel (Wh/pkm)": 4569.2552483880345, - "Unlinked Passenger Trips": 59456 + "Unlinked Passenger Trips": 59456, + "Average Passengers": 0.6408904790197668 }, { "NTD ID": 41199, @@ -6461,7 +6985,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1491.4736723407098, "All Fuels (Wh/pkm)": 1491.4736723407098, - "Unlinked Passenger Trips": 432019 + "Unlinked Passenger Trips": 432019, + "Average Passengers": 2.9814613676431247 }, { "NTD ID": 42000, @@ -6473,7 +6998,8 @@ "All Fuels (Wh/pkm)": 533.7016130526464, "Unlinked Passenger Trips": 191093, "Passenger Paid Fares": 512350, - "Average Fare": 2.6811552490148776 + "Average Fare": 2.6811552490148776, + "Average Passengers": 2.3178911298765796 }, { "NTD ID": 42000, @@ -6485,7 +7011,8 @@ "All Fuels (Wh/pkm)": 341.783835743312, "Unlinked Passenger Trips": 253643, "Passenger Paid Fares": 1620649, - "Average Fare": 6.389488375393762 + "Average Fare": 6.389488375393762, + "Average Passengers": 4.444295730912506 }, { "NTD ID": 44929, @@ -6494,7 +7021,8 @@ "Other (%)": 53.376186471224315, "All Fuels (%)": 100, "All Fuels (Wh/pkm)": 2242.5148781768635, - "Unlinked Passenger Trips": 99092 + "Unlinked Passenger Trips": 99092, + "Average Passengers": 2.634878099316251 }, { "NTD ID": 50001, @@ -6508,7 +7036,8 @@ "All Fuels (Wh/pkm)": 1528.0190614562423, "Unlinked Passenger Trips": 544030, "Passenger Paid Fares": 421961, - "Average Fare": 0.7756208297336544 + "Average Fare": 0.7756208297336544, + "Average Passengers": 2.6698744970405177 }, { "NTD ID": 50002, @@ -6520,7 +7049,8 @@ "All Fuels (Wh/pkm)": 2806.2550719574347, "Unlinked Passenger Trips": 28529, "Passenger Paid Fares": 74714, - "Average Fare": 2.6188790353675206 + "Average Fare": 2.6188790353675206, + "Average Passengers": 0.6174414827413779 }, { "NTD ID": 50002, @@ -6532,7 +7062,8 @@ "All Fuels (Wh/pkm)": 2077.0811004336733, "Unlinked Passenger Trips": 495371, "Passenger Paid Fares": 387764, - "Average Fare": 0.7827749303047615 + "Average Fare": 0.7827749303047615, + "Average Passengers": 2.143111427071307 }, { "NTD ID": 50003, @@ -6544,7 +7075,8 @@ "All Fuels (Wh/pkm)": 1199.693580617117, "Unlinked Passenger Trips": 1080782, "Passenger Paid Fares": 1448403, - "Average Fare": 1.3401435257063867 + "Average Fare": 1.3401435257063867, + "Average Passengers": 3.8085257513416715 }, { "NTD ID": 50003, @@ -6556,7 +7088,8 @@ "All Fuels (Wh/pkm)": 3815.684230185248, "Unlinked Passenger Trips": 19876, "Passenger Paid Fares": 12599, - "Average Fare": 0.6338800563493661 + "Average Fare": 0.6338800563493661, + "Average Passengers": 2.036071273359409 }, { "NTD ID": 50004, @@ -6568,7 +7101,8 @@ "All Fuels (Wh/pkm)": 2451.754148946805, "Unlinked Passenger Trips": 510235, "Passenger Paid Fares": 251832, - "Average Fare": 0.493560810214901 + "Average Fare": 0.493560810214901, + "Average Passengers": 1.679174762077255 }, { "NTD ID": 50005, @@ -6581,7 +7115,8 @@ "All Fuels (Wh/pkm)": 1071.3443995177875, "Unlinked Passenger Trips": 5390018, "Passenger Paid Fares": 2237835, - "Average Fare": 0.41518135932013583 + "Average Fare": 0.41518135932013583, + "Average Passengers": 4.128580543055842 }, { "NTD ID": 50006, @@ -6593,7 +7128,8 @@ "All Fuels (Wh/pkm)": 2751.189000545658, "Unlinked Passenger Trips": 28068, "Passenger Paid Fares": 84338, - "Average Fare": 3.0047741199942997 + "Average Fare": 3.0047741199942997, + "Average Passengers": 1.1181767023072595 }, { "NTD ID": 50006, @@ -6605,7 +7141,8 @@ "All Fuels (Wh/pkm)": 3651.914071043653, "Unlinked Passenger Trips": 463652, "Passenger Paid Fares": 583832, - "Average Fare": 1.259203022956873 + "Average Fare": 1.259203022956873, + "Average Passengers": 1.4902610329339456 }, { "NTD ID": 50008, @@ -6617,7 +7154,8 @@ "All Fuels (Wh/pkm)": 1493.3139001602844, "Unlinked Passenger Trips": 15728839, "Passenger Paid Fares": 12642243, - "Average Fare": 0.8037619941306539 + "Average Fare": 0.8037619941306539, + "Average Passengers": 2.9383583812409677 }, { "NTD ID": 50009, @@ -6629,7 +7167,8 @@ "All Fuels (Wh/pkm)": 1864.0672240568722, "Unlinked Passenger Trips": 472607, "Passenger Paid Fares": 291763, - "Average Fare": 0.6173480291235636 + "Average Fare": 0.6173480291235636, + "Average Passengers": 2.442484957280255 }, { "NTD ID": 50010, @@ -6641,7 +7180,8 @@ "All Fuels (Wh/pkm)": 5624.57769537496, "Unlinked Passenger Trips": 174873, "Passenger Paid Fares": 370951, - "Average Fare": 2.121259428270802 + "Average Fare": 2.121259428270802, + "Average Passengers": 0.6031748878066041 }, { "NTD ID": 50010, @@ -6655,7 +7195,8 @@ "All Fuels (Wh/pkm)": 696.1666113715892, "Unlinked Passenger Trips": 2882108, "Passenger Paid Fares": 1415381, - "Average Fare": 0.49109228384224324 + "Average Fare": 0.49109228384224324, + "Average Passengers": 3.1723719714610668 }, { "NTD ID": 50011, @@ -6669,7 +7210,8 @@ "All Fuels (Wh/pkm)": 1206.916960736712, "Unlinked Passenger Trips": 100045, "Passenger Paid Fares": 238345, - "Average Fare": 2.382377929931531 + "Average Fare": 2.382377929931531, + "Average Passengers": 0.6426916143828864 }, { "NTD ID": 50011, @@ -6683,7 +7225,8 @@ "All Fuels (Wh/pkm)": 914.169022018662, "Unlinked Passenger Trips": 1083547, "Passenger Paid Fares": 1022276, - "Average Fare": 0.9434533065939917 + "Average Fare": 0.9434533065939917, + "Average Passengers": 3.269675199736664 }, { "NTD ID": 50012, @@ -6695,7 +7238,8 @@ "All Fuels (Wh/pkm)": 2263.624151491444, "Unlinked Passenger Trips": 130356, "Passenger Paid Fares": 499824, - "Average Fare": 3.8342999171499588 + "Average Fare": 3.8342999171499588, + "Average Passengers": 0.9890579741266183 }, { "NTD ID": 50012, @@ -6707,7 +7251,8 @@ "All Fuels (Wh/pkm)": 1051.6104703488427, "Unlinked Passenger Trips": 9600324, "Passenger Paid Fares": 13413304, - "Average Fare": 1.3971720121112579 + "Average Fare": 1.3971720121112579, + "Average Passengers": 4.64997615286284 }, { "NTD ID": 50015, @@ -6720,7 +7265,8 @@ "All Fuels (Wh/pkm)": 2801.7008902432217, "Unlinked Passenger Trips": 391199, "Passenger Paid Fares": 1463703, - "Average Fare": 3.741581650259842 + "Average Fare": 3.741581650259842, + "Average Passengers": 0.9115715735081401 }, { "NTD ID": 50015, @@ -6728,7 +7274,8 @@ "UACE Code": "17668", "Unlinked Passenger Trips": 2420125, "Passenger Paid Fares": 2962423, - "Average Fare": 1.2240785083415113 + "Average Fare": 1.2240785083415113, + "Average Passengers": 12.018981804285445 }, { "NTD ID": 50015, @@ -6736,7 +7283,8 @@ "UACE Code": "17668", "Unlinked Passenger Trips": 465123, "Passenger Paid Fares": 793335, - "Average Fare": 1.7056456034210306 + "Average Fare": 1.7056456034210306, + "Average Passengers": 5.351211652925543 }, { "NTD ID": 50015, @@ -6750,7 +7298,8 @@ "All Fuels (Wh/pkm)": 971.7394365085474, "Unlinked Passenger Trips": 11184684, "Passenger Paid Fares": 15947387, - "Average Fare": 1.4258236531313715 + "Average Fare": 1.4258236531313715, + "Average Passengers": 3.220345468558603 }, { "NTD ID": 50015, @@ -6764,7 +7313,8 @@ "All Fuels (Wh/pkm)": 1285.2599394318142, "Unlinked Passenger Trips": 1411832, "Passenger Paid Fares": 1103877, - "Average Fare": 0.7818756055961332 + "Average Fare": 0.7818756055961332, + "Average Passengers": 7.9790790032533065 }, { "NTD ID": 50016, @@ -6778,7 +7328,8 @@ "All Fuels (Wh/pkm)": 2703.4161245944306, "Unlinked Passenger Trips": 242445, "Passenger Paid Fares": 648080, - "Average Fare": 2.6731011157169666 + "Average Fare": 2.6731011157169666, + "Average Passengers": 0.7151736541481271 }, { "NTD ID": 50016, @@ -6794,7 +7345,8 @@ "All Fuels (Wh/pkm)": 844.1755103702484, "Unlinked Passenger Trips": 8899769, "Passenger Paid Fares": 10185740, - "Average Fare": 1.1444948739680771 + "Average Fare": 1.1444948739680771, + "Average Passengers": 2.6001083783004226 }, { "NTD ID": 50017, @@ -6806,7 +7358,8 @@ "All Fuels (Wh/pkm)": 3651.0510536682677, "Unlinked Passenger Trips": 172982, "Passenger Paid Fares": 505192, - "Average Fare": 2.92048883698882 + "Average Fare": 2.92048883698882, + "Average Passengers": 0.8719525829830418 }, { "NTD ID": 50017, @@ -6818,7 +7371,8 @@ "All Fuels (Wh/pkm)": 871.2531346658606, "Unlinked Passenger Trips": 3355260, "Passenger Paid Fares": 3387435, - "Average Fare": 1.009589420790043 + "Average Fare": 1.009589420790043, + "Average Passengers": 6.007376470990091 }, { "NTD ID": 50017, @@ -6830,7 +7384,8 @@ "All Fuels (Wh/pkm)": 410.82889505979, "Unlinked Passenger Trips": 1786684, "Passenger Paid Fares": 1162688, - "Average Fare": 0.6507518956905642 + "Average Fare": 0.6507518956905642, + "Average Passengers": 6.394840915728331 }, { "NTD ID": 50021, @@ -6842,7 +7397,8 @@ "All Fuels (Wh/pkm)": 2715.022263386553, "Unlinked Passenger Trips": 40212, "Passenger Paid Fares": 93780, - "Average Fare": 2.332139659803044 + "Average Fare": 2.332139659803044, + "Average Passengers": 0.6556546803261837 }, { "NTD ID": 50021, @@ -6856,7 +7412,8 @@ "All Fuels (Wh/pkm)": 3782.709932289577, "Unlinked Passenger Trips": 344367, "Passenger Paid Fares": 100237, - "Average Fare": 0.29107609033385895 + "Average Fare": 0.29107609033385895, + "Average Passengers": 1.2745237896038446 }, { "NTD ID": 50022, @@ -6866,7 +7423,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1770.4148450451096, "All Fuels (Wh/pkm)": 1770.4148450451096, - "Unlinked Passenger Trips": 231764 + "Unlinked Passenger Trips": 231764, + "Average Passengers": 1.4548617172369271 }, { "NTD ID": 50022, @@ -6876,7 +7434,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1430.2452735345985, "All Fuels (Wh/pkm)": 1430.2452735345985, - "Unlinked Passenger Trips": 1346101 + "Unlinked Passenger Trips": 1346101, + "Average Passengers": 4.1522017639015605 }, { "NTD ID": 50024, @@ -6888,7 +7447,8 @@ "Gasoline (Wh/pkm)": 3089.150917978088, "Diesel (Wh/pkm)": 2953.5784203235035, "All Fuels (Wh/pkm)": 3074.5901524405217, - "Unlinked Passenger Trips": 42230 + "Unlinked Passenger Trips": 42230, + "Average Passengers": 0.7445286564909631 }, { "NTD ID": 50024, @@ -6902,7 +7462,8 @@ "All Fuels (Wh/pkm)": 2357.7278062609253, "Unlinked Passenger Trips": 900561, "Passenger Paid Fares": 6, - "Average Fare": 6.662513699793795e-06 + "Average Fare": 6.662513699793795e-06, + "Average Passengers": 1.865365578493886 }, { "NTD ID": 50025, @@ -6914,7 +7475,8 @@ "All Fuels (Wh/pkm)": 4319.741805613338, "Unlinked Passenger Trips": 22991, "Passenger Paid Fares": 62523, - "Average Fare": 2.719455439084859 + "Average Fare": 2.719455439084859, + "Average Passengers": 0.6226524982660122 }, { "NTD ID": 50025, @@ -6928,7 +7490,8 @@ "All Fuels (Wh/pkm)": 1281.5790385905375, "Unlinked Passenger Trips": 1461418, "Passenger Paid Fares": 1298970, - "Average Fare": 0.8888422066787189 + "Average Fare": 0.8888422066787189, + "Average Passengers": 3.290541840915267 }, { "NTD ID": 50026, @@ -6940,7 +7503,8 @@ "All Fuels (Wh/pkm)": 2846.1948174653367, "Unlinked Passenger Trips": 6889, "Passenger Paid Fares": 42991, - "Average Fare": 6.240528378574539 + "Average Fare": 6.240528378574539, + "Average Passengers": 0.47187953833218677 }, { "NTD ID": 50026, @@ -6952,7 +7516,8 @@ "All Fuels (Wh/pkm)": 1659.8974774249625, "Unlinked Passenger Trips": 363726, "Passenger Paid Fares": 159783, - "Average Fare": 0.4392949637914254 + "Average Fare": 0.4392949637914254, + "Average Passengers": 2.833310237485565 }, { "NTD ID": 50027, @@ -6964,7 +7529,8 @@ "All Fuels (Wh/pkm)": 2836.9823170936843, "Unlinked Passenger Trips": 50433, "Passenger Paid Fares": 147588, - "Average Fare": 2.9264172268157753 + "Average Fare": 2.9264172268157753, + "Average Passengers": 30.93642910355103 }, { "NTD ID": 50027, @@ -6976,7 +7542,8 @@ "All Fuels (Wh/pkm)": 192.75121926175643, "Unlinked Passenger Trips": 10673554, "Passenger Paid Fares": 6353942, - "Average Fare": 0.5952976862252255 + "Average Fare": 0.5952976862252255, + "Average Passengers": 25.04233909549021 }, { "NTD ID": 50027, @@ -6990,7 +7557,8 @@ "All Fuels (Wh/pkm)": 1134.625396136156, "Unlinked Passenger Trips": 22137142, "Passenger Paid Fares": 20742502, - "Average Fare": 0.9369999975606608 + "Average Fare": 0.9369999975606608, + "Average Passengers": 3.9782087432657325 }, { "NTD ID": 50028, @@ -7000,7 +7568,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1236.5334212971259, "All Fuels (Wh/pkm)": 1236.5334212971259, - "Unlinked Passenger Trips": 8330 + "Unlinked Passenger Trips": 8330, + "Average Passengers": 3.506395233062206 }, { "NTD ID": 50028, @@ -7012,7 +7581,8 @@ "Diesel (Wh/pkm)": 4018.505891702176, "CNG (Wh/pkm)": 1024.3739448832348, "All Fuels (Wh/pkm)": 1320.125922926817, - "Unlinked Passenger Trips": 101125 + "Unlinked Passenger Trips": 101125, + "Average Passengers": 0.8308477941316839 }, { "NTD ID": 50028, @@ -7026,7 +7596,8 @@ "All Fuels (Wh/pkm)": 859.8937282844362, "Unlinked Passenger Trips": 677354, "Passenger Paid Fares": 6454, - "Average Fare": 0.009528252582844421 + "Average Fare": 0.009528252582844421, + "Average Passengers": 1.8659448820657112 }, { "NTD ID": 50029, @@ -7039,7 +7610,8 @@ "All Fuels (Wh/pkm)": 1960.136214490088, "Unlinked Passenger Trips": 51890, "Passenger Paid Fares": 124, - "Average Fare": 0.0023896704567354017 + "Average Fare": 0.0023896704567354017, + "Average Passengers": 1.2024380036335398 }, { "NTD ID": 50029, @@ -7051,7 +7623,8 @@ "All Fuels (Wh/pkm)": 1687.495590808389, "Unlinked Passenger Trips": 45067, "Passenger Paid Fares": 1252, - "Average Fare": 0.02778085960902656 + "Average Fare": 0.02778085960902656, + "Average Passengers": 1.7612189977452906 }, { "NTD ID": 50031, @@ -7064,7 +7637,8 @@ "All Fuels (Wh/pkm)": 5635.143135106239, "Unlinked Passenger Trips": 249229, "Passenger Paid Fares": 233931, - "Average Fare": 0.938618700071019 + "Average Fare": 0.938618700071019, + "Average Passengers": 0.5897104778756012 }, { "NTD ID": 50031, @@ -7076,7 +7650,8 @@ "All Fuels (Wh/pkm)": 1079.8531188572108, "Unlinked Passenger Trips": 3000287, "Passenger Paid Fares": 1465907, - "Average Fare": 0.48858892499284234 + "Average Fare": 0.48858892499284234, + "Average Passengers": 4.154770123532117 }, { "NTD ID": 50032, @@ -7089,7 +7664,8 @@ "All Fuels (Wh/pkm)": 2908.2677223290807, "Unlinked Passenger Trips": 394780, "Passenger Paid Fares": 435164, - "Average Fare": 1.1022949490855667 + "Average Fare": 1.1022949490855667, + "Average Passengers": 0.8037286692774642 }, { "NTD ID": 50032, @@ -7105,7 +7681,8 @@ "All Fuels (Wh/pkm)": 601.1501355245083, "Unlinked Passenger Trips": 1638726, "Passenger Paid Fares": 2010424, - "Average Fare": 1.2268213233939047 + "Average Fare": 1.2268213233939047, + "Average Passengers": 2.892018852149706 }, { "NTD ID": 50033, @@ -7118,7 +7695,8 @@ "All Fuels (Wh/pkm)": 2406.6960263854276, "Unlinked Passenger Trips": 200526, "Passenger Paid Fares": 794395, - "Average Fare": 3.9615561074374397 + "Average Fare": 3.9615561074374397, + "Average Passengers": 1.4750780048480092 }, { "NTD ID": 50033, @@ -7132,7 +7710,8 @@ "All Fuels (Wh/pkm)": 1166.157242880033, "Unlinked Passenger Trips": 3553108, "Passenger Paid Fares": 2056344, - "Average Fare": 0.5787451436882864 + "Average Fare": 0.5787451436882864, + "Average Passengers": 2.852877031761574 }, { "NTD ID": 50033, @@ -7144,7 +7723,8 @@ "All Fuels (Wh/pkm)": 1138.291021319481, "Unlinked Passenger Trips": 367484, "Passenger Paid Fares": 135450, - "Average Fare": 0.36858747591731883 + "Average Fare": 0.36858747591731883, + "Average Passengers": 3.727716745625486 }, { "NTD ID": 50033, @@ -7156,7 +7736,8 @@ "All Fuels (Wh/pkm)": 330.2388431472417, "Unlinked Passenger Trips": 7690, "Passenger Paid Fares": 29428, - "Average Fare": 3.8267880364109232 + "Average Fare": 3.8267880364109232, + "Average Passengers": 2.9394551828509035 }, { "NTD ID": 50034, @@ -7168,7 +7749,8 @@ "All Fuels (Wh/pkm)": 3861.9119419072645, "Unlinked Passenger Trips": 25821, "Passenger Paid Fares": 38362, - "Average Fare": 1.4856899422950312 + "Average Fare": 1.4856899422950312, + "Average Passengers": 0.45224896565155637 }, { "NTD ID": 50034, @@ -7180,7 +7762,8 @@ "All Fuels (Wh/pkm)": 2394.7840700784764, "Unlinked Passenger Trips": 261108, "Passenger Paid Fares": 194576, - "Average Fare": 0.7451935597530523 + "Average Fare": 0.7451935597530523, + "Average Passengers": 2.2548514974782594 }, { "NTD ID": 50035, @@ -7194,7 +7777,8 @@ "All Fuels (Wh/pkm)": 1549.766869466466, "Unlinked Passenger Trips": 85013, "Passenger Paid Fares": 66011, - "Average Fare": 0.7764812440450284 + "Average Fare": 0.7764812440450284, + "Average Passengers": 1.1701054761922054 }, { "NTD ID": 50035, @@ -7206,7 +7790,8 @@ "All Fuels (Wh/pkm)": 919.0600564122836, "Unlinked Passenger Trips": 1362709, "Passenger Paid Fares": 1411794, - "Average Fare": 1.0360201627787005 + "Average Fare": 1.0360201627787005, + "Average Passengers": 5.004705398726431 }, { "NTD ID": 50036, @@ -7220,7 +7805,8 @@ "All Fuels (Wh/pkm)": 3755.915836075267, "Unlinked Passenger Trips": 244818, "Passenger Paid Fares": 500413, - "Average Fare": 2.0440204560122215 + "Average Fare": 2.0440204560122215, + "Average Passengers": 0.61137173542094 }, { "NTD ID": 50036, @@ -7232,7 +7818,8 @@ "All Fuels (Wh/pkm)": 1428.606039490438, "Unlinked Passenger Trips": 2785826, "Passenger Paid Fares": 1486904, - "Average Fare": 0.5337390059537099 + "Average Fare": 0.5337390059537099, + "Average Passengers": 2.8106301644191984 }, { "NTD ID": 50039, @@ -7244,7 +7831,8 @@ "Gasoline (Wh/pkm)": 3952.0709454031717, "Diesel (Wh/pkm)": 6252.382021380729, "All Fuels (Wh/pkm)": 4574.032436460767, - "Unlinked Passenger Trips": 37911 + "Unlinked Passenger Trips": 37911, + "Average Passengers": 0.45899833297093573 }, { "NTD ID": 50039, @@ -7254,7 +7842,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1674.166527614567, "All Fuels (Wh/pkm)": 1674.166527614567, - "Unlinked Passenger Trips": 211907 + "Unlinked Passenger Trips": 211907, + "Average Passengers": 3.0913506361550445 }, { "NTD ID": 50040, @@ -7268,7 +7857,8 @@ "All Fuels (Wh/pkm)": 3015.816479939958, "Unlinked Passenger Trips": 99837, "Passenger Paid Fares": 263905, - "Average Fare": 2.6433586746396625 + "Average Fare": 2.6433586746396625, + "Average Passengers": 0.5438645491768939 }, { "NTD ID": 50040, @@ -7280,7 +7870,8 @@ "All Fuels (Wh/pkm)": 1739.2808956798406, "Unlinked Passenger Trips": 1729434, "Passenger Paid Fares": 721451, - "Average Fare": 0.4171601807296491 + "Average Fare": 0.4171601807296491, + "Average Passengers": 2.4221167346445465 }, { "NTD ID": 50040, @@ -7292,7 +7883,8 @@ "All Fuels (Wh/pkm)": 257.51491104852266, "Unlinked Passenger Trips": 139674, "Passenger Paid Fares": 775625, - "Average Fare": 5.553109383278205 + "Average Fare": 5.553109383278205, + "Average Passengers": 3.2123068054466923 }, { "NTD ID": 50043, @@ -7306,7 +7898,8 @@ "All Fuels (Wh/pkm)": 3322.637199979986, "Unlinked Passenger Trips": 35991, "Passenger Paid Fares": 359079, - "Average Fare": 9.976910894390263 + "Average Fare": 9.976910894390263, + "Average Passengers": 0.9757585585743525 }, { "NTD ID": 50043, @@ -7318,7 +7911,8 @@ "All Fuels (Wh/pkm)": 1527.0910426579449, "Unlinked Passenger Trips": 686013, "Passenger Paid Fares": 541793, - "Average Fare": 0.7897707477846629 + "Average Fare": 0.7897707477846629, + "Average Passengers": 2.503573093209834 }, { "NTD ID": 50044, @@ -7332,7 +7926,8 @@ "All Fuels (Wh/pkm)": 2279.528035096598, "Unlinked Passenger Trips": 57038, "Passenger Paid Fares": 78175, - "Average Fare": 1.3705775097303552 + "Average Fare": 1.3705775097303552, + "Average Passengers": 1.0681464148859954 }, { "NTD ID": 50044, @@ -7346,7 +7941,8 @@ "All Fuels (Wh/pkm)": 1706.9862127888625, "Unlinked Passenger Trips": 1229669, "Passenger Paid Fares": 456698, - "Average Fare": 0.37139913261210944 + "Average Fare": 0.37139913261210944, + "Average Passengers": 2.5793661617402828 }, { "NTD ID": 50045, @@ -7358,7 +7954,8 @@ "All Fuels (Wh/pkm)": 2225.44726995574, "Unlinked Passenger Trips": 14125, "Passenger Paid Fares": 32214, - "Average Fare": 2.280637168141593 + "Average Fare": 2.280637168141593, + "Average Passengers": 0.5842267712617495 }, { "NTD ID": 50045, @@ -7366,7 +7963,8 @@ "UACE Code": "16264", "Unlinked Passenger Trips": 424632, "Passenger Paid Fares": 355651, - "Average Fare": 0.8375511030727784 + "Average Fare": 0.8375511030727784, + "Average Passengers": 0.602376242528504 }, { "NTD ID": 50047, @@ -7379,7 +7977,8 @@ "All Fuels (Wh/pkm)": 4640.740737680804, "Unlinked Passenger Trips": 55199, "Passenger Paid Fares": 4610, - "Average Fare": 0.0835160057247414 + "Average Fare": 0.0835160057247414, + "Average Passengers": 0.8697093327830077 }, { "NTD ID": 50047, @@ -7391,7 +7990,8 @@ "All Fuels (Wh/pkm)": 1724.1274610225366, "Unlinked Passenger Trips": 1495199, "Passenger Paid Fares": 49074, - "Average Fare": 0.03282104923826193 + "Average Fare": 0.03282104923826193, + "Average Passengers": 2.75511066496731 }, { "NTD ID": 50050, @@ -7403,7 +8003,8 @@ "All Fuels (Wh/pkm)": 2245.6692773395225, "Unlinked Passenger Trips": 169388, "Passenger Paid Fares": 584246, - "Average Fare": 3.449158145795452 + "Average Fare": 3.449158145795452, + "Average Passengers": 1.2892101487698864 }, { "NTD ID": 50050, @@ -7419,7 +8020,8 @@ "All Fuels (Wh/pkm)": 2093.5628808054453, "Unlinked Passenger Trips": 4168131, "Passenger Paid Fares": 3815735, - "Average Fare": 0.915454672609858 + "Average Fare": 0.915454672609858, + "Average Passengers": 2.2797338909143856 }, { "NTD ID": 50050, @@ -7431,7 +8033,8 @@ "All Fuels (Wh/pkm)": 564.0761862250862, "Unlinked Passenger Trips": 866400, "Passenger Paid Fares": 790852, - "Average Fare": 0.9128024007386888 + "Average Fare": 0.9128024007386888, + "Average Passengers": 4.0651619033544755 }, { "NTD ID": 50051, @@ -7443,7 +8046,8 @@ "All Fuels (Wh/pkm)": 583.6257485901002, "Unlinked Passenger Trips": 29841, "Passenger Paid Fares": 28689, - "Average Fare": 0.9613953955966623 + "Average Fare": 0.9613953955966623, + "Average Passengers": 1.1437273046737728 }, { "NTD ID": 50051, @@ -7457,7 +8061,8 @@ "All Fuels (Wh/pkm)": 697.4491452726282, "Unlinked Passenger Trips": 2469660, "Passenger Paid Fares": 361330, - "Average Fare": 0.14630758889887677 + "Average Fare": 0.14630758889887677, + "Average Passengers": 3.605797302971763 }, { "NTD ID": 50052, @@ -7470,7 +8075,8 @@ "All Fuels (Wh/pkm)": 2833.2636387087355, "Unlinked Passenger Trips": 51664, "Passenger Paid Fares": 99862, - "Average Fare": 1.9329126664602043 + "Average Fare": 1.9329126664602043, + "Average Passengers": 1.1507818604665527 }, { "NTD ID": 50052, @@ -7484,7 +8090,8 @@ "All Fuels (Wh/pkm)": 1243.912895295951, "Unlinked Passenger Trips": 937683, "Passenger Paid Fares": 881808, - "Average Fare": 0.940411631649502 + "Average Fare": 0.940411631649502, + "Average Passengers": 2.300298243826217 }, { "NTD ID": 50053, @@ -7496,7 +8103,8 @@ "All Fuels (Wh/pkm)": 4171.858324764782, "Unlinked Passenger Trips": 10896, "Passenger Paid Fares": 17361, - "Average Fare": 1.5933370044052864 + "Average Fare": 1.5933370044052864, + "Average Passengers": 1.1397058823529411 }, { "NTD ID": 50053, @@ -7504,7 +8112,8 @@ "UACE Code": "87139", "Unlinked Passenger Trips": 118135, "Passenger Paid Fares": 69445, - "Average Fare": 0.5878444152875947 + "Average Fare": 0.5878444152875947, + "Average Passengers": 0.3196148359486448 }, { "NTD ID": 50054, @@ -7515,7 +8124,8 @@ "All Fuels (Wh/pkm)": 3875.112927516925, "Unlinked Passenger Trips": 35118, "Passenger Paid Fares": 29591, - "Average Fare": 0.8426163221140156 + "Average Fare": 0.8426163221140156, + "Average Passengers": 0.9122780868222832 }, { "NTD ID": 50054, @@ -7527,7 +8137,8 @@ "All Fuels (Wh/pkm)": 1244.6336505676816, "Unlinked Passenger Trips": 712271, "Passenger Paid Fares": 105667, - "Average Fare": 0.14835224233472935 + "Average Fare": 0.14835224233472935, + "Average Passengers": 3.3352102145801727 }, { "NTD ID": 50056, @@ -7539,7 +8150,8 @@ "All Fuels (Wh/pkm)": 4681.204104811151, "Unlinked Passenger Trips": 89330, "Passenger Paid Fares": 87086, - "Average Fare": 0.9748796596887943 + "Average Fare": 0.9748796596887943, + "Average Passengers": 0.7170073347488753 }, { "NTD ID": 50056, @@ -7551,7 +8163,8 @@ "All Fuels (Wh/pkm)": 1175.5594932826948, "Unlinked Passenger Trips": 1779437, "Passenger Paid Fares": 504802, - "Average Fare": 0.28368635697695394 + "Average Fare": 0.28368635697695394, + "Average Passengers": 4.550775009390259 }, { "NTD ID": 50057, @@ -7563,7 +8176,8 @@ "All Fuels (Wh/pkm)": 2667.8676191118425, "Unlinked Passenger Trips": 39702, "Passenger Paid Fares": 27962, - "Average Fare": 0.7042970127449498 + "Average Fare": 0.7042970127449498, + "Average Passengers": 0.908983704486161 }, { "NTD ID": 50057, @@ -7575,7 +8189,8 @@ "All Fuels (Wh/pkm)": 1111.2006323056862, "Unlinked Passenger Trips": 33085, "Passenger Paid Fares": 177604, - "Average Fare": 5.368112437660571 + "Average Fare": 5.368112437660571, + "Average Passengers": 14.011759822910903 }, { "NTD ID": 50057, @@ -7591,7 +8206,8 @@ "All Fuels (Wh/pkm)": 537.824925270423, "Unlinked Passenger Trips": 1550563, "Passenger Paid Fares": 512482, - "Average Fare": 0.3305134973554767 + "Average Fare": 0.3305134973554767, + "Average Passengers": 3.3536710683938176 }, { "NTD ID": 50058, @@ -7605,7 +8221,8 @@ "All Fuels (Wh/pkm)": 4322.5937811316235, "Unlinked Passenger Trips": 98947, "Passenger Paid Fares": 98575, - "Average Fare": 0.9962404115334472 + "Average Fare": 0.9962404115334472, + "Average Passengers": 0.7452196865900175 }, { "NTD ID": 50058, @@ -7617,7 +8234,8 @@ "All Fuels (Wh/pkm)": 2180.9943374531495, "Unlinked Passenger Trips": 729181, "Passenger Paid Fares": 206618, - "Average Fare": 0.2833562585969739 + "Average Fare": 0.2833562585969739, + "Average Passengers": 2.749812742504943 }, { "NTD ID": 50059, @@ -7629,7 +8247,8 @@ "All Fuels (Wh/pkm)": 4119.813650874314, "Unlinked Passenger Trips": 63363, "Passenger Paid Fares": 44666, - "Average Fare": 0.7049224310717611 + "Average Fare": 0.7049224310717611, + "Average Passengers": 0.8561071267923117 }, { "NTD ID": 50059, @@ -7645,7 +8264,8 @@ "All Fuels (Wh/pkm)": 1667.875337290607, "Unlinked Passenger Trips": 973788, "Passenger Paid Fares": 146148, - "Average Fare": 0.15008194802154062 + "Average Fare": 0.15008194802154062, + "Average Passengers": 2.0352697827398227 }, { "NTD ID": 50060, @@ -7657,7 +8277,8 @@ "All Fuels (Wh/pkm)": 4838.575222087992, "Unlinked Passenger Trips": 39656, "Passenger Paid Fares": 28, - "Average Fare": 0.0007060722211014727 + "Average Fare": 0.0007060722211014727, + "Average Passengers": 0.6641656514438116 }, { "NTD ID": 50060, @@ -7669,7 +8290,8 @@ "All Fuels (Wh/pkm)": 1981.8060410132707, "Unlinked Passenger Trips": 3432371, "Passenger Paid Fares": 4177499, - "Average Fare": 1.217088420802996 + "Average Fare": 1.217088420802996, + "Average Passengers": 2.0626563166034897 }, { "NTD ID": 50061, @@ -7679,7 +8301,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 5950.420597597374, "All Fuels (Wh/pkm)": 5950.420597597374, - "Unlinked Passenger Trips": 12879 + "Unlinked Passenger Trips": 12879, + "Average Passengers": 0.6503978070468677 }, { "NTD ID": 50061, @@ -7689,7 +8312,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1797.2729315802894, "All Fuels (Wh/pkm)": 1797.2729315802894, - "Unlinked Passenger Trips": 800680 + "Unlinked Passenger Trips": 800680, + "Average Passengers": 2.4036803045940665 }, { "NTD ID": 50066, @@ -7701,7 +8325,8 @@ "All Fuels (Wh/pkm)": 73.66804977236195, "Unlinked Passenger Trips": 78623048, "Passenger Paid Fares": 101197588, - "Average Fare": 1.287123694314166 + "Average Fare": 1.287123694314166, + "Average Passengers": 48.90145518953016 }, { "NTD ID": 50066, @@ -7715,7 +8340,8 @@ "All Fuels (Wh/pkm)": 1145.9221118145747, "Unlinked Passenger Trips": 117357515, "Passenger Paid Fares": 122725778, - "Average Fare": 1.0457428141691651 + "Average Fare": 1.0457428141691651, + "Average Passengers": 5.92140296062216 }, { "NTD ID": 50092, @@ -7727,7 +8353,8 @@ "All Fuels (Wh/pkm)": 3125.5047638592323, "Unlinked Passenger Trips": 23371, "Passenger Paid Fares": 80077, - "Average Fare": 3.4263403363142357 + "Average Fare": 3.4263403363142357, + "Average Passengers": 0.7997211895910781 }, { "NTD ID": 50092, @@ -7741,7 +8368,8 @@ "All Fuels (Wh/pkm)": 2118.679452797607, "Unlinked Passenger Trips": 743769, "Passenger Paid Fares": 269555, - "Average Fare": 0.36241763235628266 + "Average Fare": 0.36241763235628266, + "Average Passengers": 1.7492273849503623 }, { "NTD ID": 50096, @@ -7753,7 +8381,8 @@ "All Fuels (Wh/pkm)": 4180.517047717481, "Unlinked Passenger Trips": 8944, "Passenger Paid Fares": 36704, - "Average Fare": 4.103756708407871 + "Average Fare": 4.103756708407871, + "Average Passengers": 0.838678961611707 }, { "NTD ID": 50096, @@ -7765,7 +8394,8 @@ "All Fuels (Wh/pkm)": 3391.6414235683537, "Unlinked Passenger Trips": 412525, "Passenger Paid Fares": 444195, - "Average Fare": 1.0767711047815285 + "Average Fare": 1.0767711047815285, + "Average Passengers": 1.6538920836473154 }, { "NTD ID": 50099, @@ -7777,7 +8407,8 @@ "All Fuels (Wh/pkm)": 2796.6168475666996, "Unlinked Passenger Trips": 432019, "Passenger Paid Fares": 238828, - "Average Fare": 0.5528182788256998 + "Average Fare": 0.5528182788256998, + "Average Passengers": 1.5805859140844951 }, { "NTD ID": 50104, @@ -7789,7 +8420,8 @@ "All Fuels (Wh/pkm)": 70.86980217863233, "Unlinked Passenger Trips": 1024745, "Passenger Paid Fares": 6340040, - "Average Fare": 6.1869440690122905 + "Average Fare": 6.1869440690122905, + "Average Passengers": 45.88218202157495 }, { "NTD ID": 50110, @@ -7801,7 +8433,8 @@ "All Fuels (Wh/pkm)": 4238.04189763059, "Unlinked Passenger Trips": 22000, "Passenger Paid Fares": 15217, - "Average Fare": 0.6916818181818182 + "Average Fare": 0.6916818181818182, + "Average Passengers": 0.9328289317154415 }, { "NTD ID": 50110, @@ -7817,7 +8450,8 @@ "All Fuels (Wh/pkm)": 1744.8995700540374, "Unlinked Passenger Trips": 1308487, "Passenger Paid Fares": 163046, - "Average Fare": 0.12460651118429147 + "Average Fare": 0.12460651118429147, + "Average Passengers": 2.9712022570853045 }, { "NTD ID": 50113, @@ -7831,7 +8465,8 @@ "All Fuels (Wh/pkm)": 1426.8270135849546, "Unlinked Passenger Trips": 554101, "Passenger Paid Fares": 1205936, - "Average Fare": 2.176383005986273 + "Average Fare": 2.176383005986273, + "Average Passengers": 0.7864099389183676 }, { "NTD ID": 50113, @@ -7845,7 +8480,8 @@ "All Fuels (Wh/pkm)": 1304.1142321628463, "Unlinked Passenger Trips": 12376806, "Passenger Paid Fares": 14481152, - "Average Fare": 1.1700233485117242 + "Average Fare": 1.1700233485117242, + "Average Passengers": 3.152077395698085 }, { "NTD ID": 50113, @@ -7857,7 +8493,8 @@ "All Fuels (Wh/pkm)": 460.9702182434658, "Unlinked Passenger Trips": 298340, "Passenger Paid Fares": 826806, - "Average Fare": 2.7713548300596633 + "Average Fare": 2.7713548300596633, + "Average Passengers": 2.9011245002422914 }, { "NTD ID": 50117, @@ -7869,7 +8506,8 @@ "All Fuels (Wh/pkm)": 2339.5786919288157, "Unlinked Passenger Trips": 37196, "Passenger Paid Fares": 98577, - "Average Fare": 2.6502043230454886 + "Average Fare": 2.6502043230454886, + "Average Passengers": 1.6104988490378402 }, { "NTD ID": 50117, @@ -7884,7 +8522,8 @@ "All Fuels (Wh/pkm)": 2732.1025104696473, "Unlinked Passenger Trips": 193576, "Passenger Paid Fares": 351258, - "Average Fare": 1.8145741207587718 + "Average Fare": 1.8145741207587718, + "Average Passengers": 0.8018723855436188 }, { "NTD ID": 50117, @@ -7900,7 +8539,8 @@ "All Fuels (Wh/pkm)": 1910.4892547877341, "Unlinked Passenger Trips": 204872, "Passenger Paid Fares": 197516, - "Average Fare": 0.9640946542231247 + "Average Fare": 0.9640946542231247, + "Average Passengers": 1.361541158243523 }, { "NTD ID": 50118, @@ -7914,7 +8554,8 @@ "All Fuels (Wh/pkm)": 859.2860311081134, "Unlinked Passenger Trips": 14080750, "Passenger Paid Fares": 67448313, - "Average Fare": 4.7901079843048135 + "Average Fare": 4.7901079843048135, + "Average Passengers": 59.46878385450586 }, { "NTD ID": 50119, @@ -7926,7 +8567,8 @@ "All Fuels (Wh/pkm)": 1417.9731719855315, "Unlinked Passenger Trips": 8580186, "Passenger Paid Fares": 2134584, - "Average Fare": 0.24878062083968808 + "Average Fare": 0.24878062083968808, + "Average Passengers": 3.6073852398873556 }, { "NTD ID": 50145, @@ -7940,7 +8582,8 @@ "All Fuels (Wh/pkm)": 1755.0225850450645, "Unlinked Passenger Trips": 82057, "Passenger Paid Fares": 2534, - "Average Fare": 0.030880972982195304 + "Average Fare": 0.030880972982195304, + "Average Passengers": 0.7481797114450176 }, { "NTD ID": 50145, @@ -7950,7 +8593,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1316.4064342472022, "All Fuels (Wh/pkm)": 2183.011783281643, - "Unlinked Passenger Trips": 146427 + "Unlinked Passenger Trips": 146427, + "Average Passengers": 3.6254984297258197 }, { "NTD ID": 50146, @@ -7962,7 +8606,8 @@ "All Fuels (Wh/pkm)": 6365.584146814995, "Unlinked Passenger Trips": 27480, "Passenger Paid Fares": 73834, - "Average Fare": 2.686826783114993 + "Average Fare": 2.686826783114993, + "Average Passengers": 0.5262486507702875 }, { "NTD ID": 50146, @@ -7976,7 +8621,8 @@ "All Fuels (Wh/pkm)": 2458.9967165030903, "Unlinked Passenger Trips": 983309, "Passenger Paid Fares": 1185521, - "Average Fare": 1.2056444108616926 + "Average Fare": 1.2056444108616926, + "Average Passengers": 1.6004794085800693 }, { "NTD ID": 50146, @@ -7988,7 +8634,8 @@ "All Fuels (Wh/pkm)": 433.59109351387224, "Unlinked Passenger Trips": 29240, "Passenger Paid Fares": 181494, - "Average Fare": 6.207045143638851 + "Average Fare": 6.207045143638851, + "Average Passengers": 3.2813381539791573 }, { "NTD ID": 50148, @@ -8000,7 +8647,8 @@ "All Fuels (Wh/pkm)": 202.70480829296145, "Unlinked Passenger Trips": 5761, "Passenger Paid Fares": 2011, - "Average Fare": 0.3490713417809408 + "Average Fare": 0.3490713417809408, + "Average Passengers": 1.6425476863830553 }, { "NTD ID": 50148, @@ -8012,7 +8660,8 @@ "All Fuels (Wh/pkm)": 1391.4765150357252, "Unlinked Passenger Trips": 245582, "Passenger Paid Fares": 47942, - "Average Fare": 0.1952178905620119 + "Average Fare": 0.1952178905620119, + "Average Passengers": 1.157320376376905 }, { "NTD ID": 50148, @@ -8026,7 +8675,8 @@ "All Fuels (Wh/pkm)": 559.5472580725492, "Unlinked Passenger Trips": 382597, "Passenger Paid Fares": 133575, - "Average Fare": 0.34912714945490947 + "Average Fare": 0.34912714945490947, + "Average Passengers": 3.197062809729249 }, { "NTD ID": 50149, @@ -8038,7 +8688,8 @@ "All Fuels (Wh/pkm)": 2496.628366445783, "Unlinked Passenger Trips": 27885, "Passenger Paid Fares": 39507, - "Average Fare": 1.4167832167832168 + "Average Fare": 1.4167832167832168, + "Average Passengers": 0.576304559488347 }, { "NTD ID": 50149, @@ -8050,7 +8701,8 @@ "All Fuels (Wh/pkm)": 1466.7761225435029, "Unlinked Passenger Trips": 332430, "Passenger Paid Fares": 170444, - "Average Fare": 0.512721475197786 + "Average Fare": 0.512721475197786, + "Average Passengers": 2.931391289261179 }, { "NTD ID": 50154, @@ -8062,7 +8714,8 @@ "All Fuels (Wh/pkm)": 3837.6229109191054, "Unlinked Passenger Trips": 1928824, "Passenger Paid Fares": 5733271, - "Average Fare": 2.97241790852872 + "Average Fare": 2.97241790852872, + "Average Passengers": 0.6769440015781929 }, { "NTD ID": 50154, @@ -8076,7 +8729,8 @@ "All Fuels (Wh/pkm)": 2424.751393236286, "Unlinked Passenger Trips": 1089113, "Passenger Paid Fares": 415460, - "Average Fare": 0.38146638594893273 + "Average Fare": 0.38146638594893273, + "Average Passengers": 1.3455721146144013 }, { "NTD ID": 50154, @@ -8088,7 +8742,8 @@ "All Fuels (Wh/pkm)": 336.7902738711369, "Unlinked Passenger Trips": 56594, "Passenger Paid Fares": 338501, - "Average Fare": 5.981217090150899 + "Average Fare": 5.981217090150899, + "Average Passengers": 2.9501562583529233 }, { "NTD ID": 50157, @@ -8100,7 +8755,8 @@ "All Fuels (Wh/pkm)": 2783.138216776536, "Unlinked Passenger Trips": 46454, "Passenger Paid Fares": 99972, - "Average Fare": 2.152064407801266 + "Average Fare": 2.152064407801266, + "Average Passengers": 0.7628682064390482 }, { "NTD ID": 50157, @@ -8112,7 +8768,8 @@ "Gasoline (Wh/pkm)": 2887.191190175571, "Diesel (Wh/pkm)": 3426.330059537337, "All Fuels (Wh/pkm)": 3098.3980731879287, - "Unlinked Passenger Trips": 256680 + "Unlinked Passenger Trips": 256680, + "Average Passengers": 1.5590661564262451 }, { "NTD ID": 50158, @@ -8122,7 +8779,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2827.433052655148, "All Fuels (Wh/pkm)": 2827.433052655148, - "Unlinked Passenger Trips": 1181645 + "Unlinked Passenger Trips": 1181645, + "Average Passengers": 1.7091989910215024 }, { "NTD ID": 50159, @@ -8136,7 +8794,8 @@ "All Fuels (Wh/pkm)": 616.3990657190617, "Unlinked Passenger Trips": 18226, "Passenger Paid Fares": 190, - "Average Fare": 0.010424668056622408 + "Average Fare": 0.010424668056622408, + "Average Passengers": 2.805442746493615 }, { "NTD ID": 50159, @@ -8148,7 +8807,8 @@ "All Fuels (Wh/pkm)": 3914.2877191015345, "Unlinked Passenger Trips": 9690, "Passenger Paid Fares": 100, - "Average Fare": 0.010319917440660475 + "Average Fare": 0.010319917440660475, + "Average Passengers": 0.9169613403896814 }, { "NTD ID": 50159, @@ -8162,7 +8822,8 @@ "All Fuels (Wh/pkm)": 1042.6066377109883, "Unlinked Passenger Trips": 490482, "Passenger Paid Fares": 5110, - "Average Fare": 0.010418323200443644 + "Average Fare": 0.010418323200443644, + "Average Passengers": 4.1106498336782 }, { "NTD ID": 50160, @@ -8174,7 +8835,8 @@ "All Fuels (Wh/pkm)": 3037.525117382847, "Unlinked Passenger Trips": 68960, "Passenger Paid Fares": 219404, - "Average Fare": 3.18161252900232 + "Average Fare": 3.18161252900232, + "Average Passengers": 0.6896800364896208 }, { "NTD ID": 50161, @@ -8186,7 +8848,8 @@ "All Fuels (Wh/pkm)": 2485.6259691716227, "Unlinked Passenger Trips": 72184, "Passenger Paid Fares": 209932, - "Average Fare": 2.9082899257453176 + "Average Fare": 2.9082899257453176, + "Average Passengers": 0.5964219461931326 }, { "NTD ID": 50163, @@ -8198,7 +8861,8 @@ "All Fuels (Wh/pkm)": 3445.7628406881777, "Unlinked Passenger Trips": 60812, "Passenger Paid Fares": 70093, - "Average Fare": 1.1526179043609814 + "Average Fare": 1.1526179043609814, + "Average Passengers": 0.6762736224421192 }, { "NTD ID": 50165, @@ -8210,7 +8874,8 @@ "All Fuels (Wh/pkm)": 3238.5604053630827, "Unlinked Passenger Trips": 85508, "Passenger Paid Fares": 76856, - "Average Fare": 0.8988164850072508 + "Average Fare": 0.8988164850072508, + "Average Passengers": 0.7877759155035966 }, { "NTD ID": 50166, @@ -8222,7 +8887,8 @@ "All Fuels (Wh/pkm)": 2695.2833800873564, "Unlinked Passenger Trips": 43063, "Passenger Paid Fares": 18318, - "Average Fare": 0.42537677356431275 + "Average Fare": 0.42537677356431275, + "Average Passengers": 0.7615765231267426 }, { "NTD ID": 50166, @@ -8230,7 +8896,8 @@ "UACE Code": "16885", "Unlinked Passenger Trips": 9437, "Passenger Paid Fares": 43770, - "Average Fare": 4.63812652325951 + "Average Fare": 4.63812652325951, + "Average Passengers": 0.5503136385831799 }, { "NTD ID": 50169, @@ -8242,7 +8909,8 @@ "All Fuels (Wh/pkm)": 3808.7460770827292, "Unlinked Passenger Trips": 38227, "Passenger Paid Fares": 84703, - "Average Fare": 2.215789886729275 + "Average Fare": 2.215789886729275, + "Average Passengers": 0.8965382601265998 }, { "NTD ID": 50176, @@ -8252,7 +8920,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 4473.531997426002, "All Fuels (Wh/pkm)": 4473.531997426002, - "Unlinked Passenger Trips": 24913 + "Unlinked Passenger Trips": 24913, + "Average Passengers": 0.7249647558487446 }, { "NTD ID": 50176, @@ -8262,7 +8931,8 @@ "Gasoline (Wh/pkm)": 3554.883268558839, "Unlinked Passenger Trips": 290718, "Passenger Paid Fares": 6120, - "Average Fare": 0.021051328091139868 + "Average Fare": 0.021051328091139868, + "Average Passengers": 1.0064300647672488 }, { "NTD ID": 50182, @@ -8276,7 +8946,8 @@ "All Fuels (Wh/pkm)": 3424.9716617006875, "Unlinked Passenger Trips": 2331139, "Passenger Paid Fares": 5810543, - "Average Fare": 2.492576804729362 + "Average Fare": 2.492576804729362, + "Average Passengers": 0.8241037220079891 }, { "NTD ID": 50184, @@ -8286,13 +8957,15 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1084.4647026235302, "All Fuels (Wh/pkm)": 1730.3724121962607, - "Unlinked Passenger Trips": 52057 + "Unlinked Passenger Trips": 52057, + "Average Passengers": 0.6058819742429203 }, { "NTD ID": 50184, "Mode": "MB", "UACE Code": "39430", - "Unlinked Passenger Trips": 77841 + "Unlinked Passenger Trips": 77841, + "Average Passengers": 1.5314408408858262 }, { "NTD ID": 50191, @@ -8304,7 +8977,8 @@ "All Fuels (Wh/pkm)": 370.1605199319611, "Unlinked Passenger Trips": 24485, "Passenger Paid Fares": 136563, - "Average Fare": 5.577414743720645 + "Average Fare": 5.577414743720645, + "Average Passengers": 3.9584351693330975 }, { "NTD ID": 50193, @@ -8316,7 +8990,8 @@ "All Fuels (Wh/pkm)": 349.050398872617, "Unlinked Passenger Trips": 203740, "Passenger Paid Fares": 1705895, - "Average Fare": 8.37290173750859 + "Average Fare": 8.37290173750859, + "Average Passengers": 3.1561058272634552 }, { "NTD ID": 50198, @@ -8330,7 +9005,8 @@ "All Fuels (Wh/pkm)": 1465.007188875715, "Unlinked Passenger Trips": 32306, "Passenger Paid Fares": 37963, - "Average Fare": 1.1751067913081161 + "Average Fare": 1.1751067913081161, + "Average Passengers": 1.2864165053579357 }, { "NTD ID": 50198, @@ -8342,7 +9018,8 @@ "All Fuels (Wh/pkm)": 2004.4442010432585, "Unlinked Passenger Trips": 32121, "Passenger Paid Fares": 22571, - "Average Fare": 0.7026867158556708 + "Average Fare": 0.7026867158556708, + "Average Passengers": 0.8813362737246578 }, { "NTD ID": 50199, @@ -8356,7 +9033,8 @@ "All Fuels (Wh/pkm)": 4385.843964429445, "Unlinked Passenger Trips": 72927, "Passenger Paid Fares": 84471, - "Average Fare": 1.1582952815829528 + "Average Fare": 1.1582952815829528, + "Average Passengers": 0.6265077830233395 }, { "NTD ID": 50209, @@ -8364,7 +9042,8 @@ "UACE Code": "41212", "Unlinked Passenger Trips": 21864, "Passenger Paid Fares": 21161, - "Average Fare": 0.9678466886205634 + "Average Fare": 0.9678466886205634, + "Average Passengers": 0.8598234286467256 }, { "NTD ID": 50209, @@ -8376,13 +9055,15 @@ "All Fuels (Wh/pkm)": 64.2351876283079, "Unlinked Passenger Trips": 59932, "Passenger Paid Fares": 203508, - "Average Fare": 3.3956484015217248 + "Average Fare": 3.3956484015217248, + "Average Passengers": 8.333502848720448 }, { "NTD ID": 50213, "Mode": "SR", "UACE Code": "23824", - "Unlinked Passenger Trips": 6568 + "Unlinked Passenger Trips": 6568, + "Average Passengers": 5.487967914438502 }, { "NTD ID": 50342, @@ -8394,7 +9075,8 @@ "All Fuels (Wh/pkm)": 3285.4302703506846, "Unlinked Passenger Trips": 32647, "Passenger Paid Fares": 24804, - "Average Fare": 0.7597635311054615 + "Average Fare": 0.7597635311054615, + "Average Passengers": 0.5692589037587397 }, { "NTD ID": 50515, @@ -8404,7 +9086,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 5371.042253281813, "All Fuels (Wh/pkm)": 5371.042253281813, - "Unlinked Passenger Trips": 121 + "Unlinked Passenger Trips": 121, + "Average Passengers": 0.6613545816733069 }, { "NTD ID": 50515, @@ -8412,7 +9095,8 @@ "UACE Code": "57628", "Gasoline (%)": 12.44866471103661, "Gasoline (Wh/pkm)": 4083.2033512568837, - "Unlinked Passenger Trips": 255704 + "Unlinked Passenger Trips": 255704, + "Average Passengers": 1.0188249805141063 }, { "NTD ID": 50516, @@ -8426,7 +9110,8 @@ "All Fuels (Wh/pkm)": 3712.516782218471, "Unlinked Passenger Trips": 32798, "Passenger Paid Fares": 72206, - "Average Fare": 2.201536679065797 + "Average Fare": 2.201536679065797, + "Average Passengers": 0.7211061023026584 }, { "NTD ID": 50516, @@ -8438,7 +9123,8 @@ "All Fuels (Wh/pkm)": 3540.025995007755, "Unlinked Passenger Trips": 55081, "Passenger Paid Fares": 73743, - "Average Fare": 1.3388101160109658 + "Average Fare": 1.3388101160109658, + "Average Passengers": 1.3246317460980757 }, { "NTD ID": 50517, @@ -8452,7 +9138,8 @@ "All Fuels (Wh/pkm)": 4118.029171203714, "Unlinked Passenger Trips": 24303, "Passenger Paid Fares": 38747, - "Average Fare": 1.594329918117105 + "Average Fare": 1.594329918117105, + "Average Passengers": 0.6142680748909651 }, { "NTD ID": 50518, @@ -8466,7 +9153,8 @@ "All Fuels (Wh/pkm)": 1746.6258485907533, "Unlinked Passenger Trips": 62667, "Passenger Paid Fares": 188201, - "Average Fare": 3.0031914723857853 + "Average Fare": 3.0031914723857853, + "Average Passengers": 0.9776600388050096 }, { "NTD ID": 50518, @@ -8478,7 +9166,8 @@ "All Fuels (Wh/pkm)": 996.4213644811945, "Unlinked Passenger Trips": 147293, "Passenger Paid Fares": 333619, - "Average Fare": 2.265002410162058 + "Average Fare": 2.265002410162058, + "Average Passengers": 4.798729611448756 }, { "NTD ID": 50519, @@ -8490,7 +9179,8 @@ "All Fuels (Wh/pkm)": 5680.173868339287, "Unlinked Passenger Trips": 35543, "Passenger Paid Fares": 31563, - "Average Fare": 0.8880229581070815 + "Average Fare": 0.8880229581070815, + "Average Passengers": 0.5076275264677574 }, { "NTD ID": 50519, @@ -8502,7 +9192,8 @@ "All Fuels (Wh/pkm)": 2265.832649409744, "Unlinked Passenger Trips": 584687, "Passenger Paid Fares": 904406, - "Average Fare": 1.5468207776126373 + "Average Fare": 1.5468207776126373, + "Average Passengers": 1.6451084022734601 }, { "NTD ID": 50521, @@ -8514,7 +9205,8 @@ "All Fuels (Wh/pkm)": 4149.585282536482, "Unlinked Passenger Trips": 10763, "Passenger Paid Fares": 163427, - "Average Fare": 15.184149400724705 + "Average Fare": 15.184149400724705, + "Average Passengers": 30.13521545319465 }, { "NTD ID": 50522, @@ -8528,7 +9220,8 @@ "All Fuels (Wh/pkm)": 813.5497908919259, "Unlinked Passenger Trips": 53890, "Passenger Paid Fares": 21773, - "Average Fare": 0.40402672109853405 + "Average Fare": 0.40402672109853405, + "Average Passengers": 1.0143836180800108 }, { "NTD ID": 50522, @@ -8538,7 +9231,8 @@ "Gasoline (Wh/pkm)": 1148.0497435432371, "Unlinked Passenger Trips": 116814, "Passenger Paid Fares": 58811, - "Average Fare": 0.503458489564607 + "Average Fare": 0.503458489564607, + "Average Passengers": 1.29229108960754 }, { "NTD ID": 55311, @@ -8550,7 +9244,8 @@ "All Fuels (Wh/pkm)": 3178.958607294272, "Unlinked Passenger Trips": 308553, "Passenger Paid Fares": 627, - "Average Fare": 0.002032065803929957 + "Average Fare": 0.002032065803929957, + "Average Passengers": 3.7324017294486675 }, { "NTD ID": 55312, @@ -8560,7 +9255,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1466.399638182403, "All Fuels (Wh/pkm)": 1466.399638182403, - "Unlinked Passenger Trips": 301170 + "Unlinked Passenger Trips": 301170, + "Average Passengers": 4.607115144341422 }, { "NTD ID": 60006, @@ -8572,7 +9268,8 @@ "All Fuels (Wh/pkm)": 836.9162980721275, "Unlinked Passenger Trips": 182773, "Passenger Paid Fares": 405133, - "Average Fare": 2.2165910719854685 + "Average Fare": 2.2165910719854685, + "Average Passengers": 0.8672637218816849 }, { "NTD ID": 60006, @@ -8584,13 +9281,15 @@ "All Fuels (Wh/pkm)": 395.2623672730475, "Unlinked Passenger Trips": 3663299, "Passenger Paid Fares": 2801201, - "Average Fare": 0.7646662202566593 + "Average Fare": 0.7646662202566593, + "Average Passengers": 3.8784781637244654 }, { "NTD ID": 60006, "Mode": "SR", "UACE Code": "27253", - "Unlinked Passenger Trips": 4119 + "Unlinked Passenger Trips": 4119, + "Average Passengers": 3.15088177661659 }, { "NTD ID": 60007, @@ -8602,7 +9301,8 @@ "All Fuels (Wh/pkm)": 826.6555423882954, "Unlinked Passenger Trips": 304545, "Passenger Paid Fares": 908314, - "Average Fare": 2.9825280336239306 + "Average Fare": 2.9825280336239306, + "Average Passengers": 7.504842120886053 }, { "NTD ID": 60007, @@ -8612,7 +9312,8 @@ "CNG (Wh/pkm)": 1168.9400641985358, "Unlinked Passenger Trips": 213978, "Passenger Paid Fares": 601019, - "Average Fare": 2.8087887539840546 + "Average Fare": 2.8087887539840546, + "Average Passengers": 0.7379554187391174 }, { "NTD ID": 60007, @@ -8626,7 +9327,8 @@ "All Fuels (Wh/pkm)": 698.4887836321227, "Unlinked Passenger Trips": 2952079, "Passenger Paid Fares": 2732226, - "Average Fare": 0.9255260445265862 + "Average Fare": 0.9255260445265862, + "Average Passengers": 2.4588662601524143 }, { "NTD ID": 60007, @@ -8638,7 +9340,8 @@ "All Fuels (Wh/pkm)": 252.84475468984274, "Unlinked Passenger Trips": 129919, "Passenger Paid Fares": 576806, - "Average Fare": 4.439735527520994 + "Average Fare": 4.439735527520994, + "Average Passengers": 4.711289851436018 }, { "NTD ID": 60008, @@ -8650,7 +9353,8 @@ "All Fuels (Wh/pkm)": 831.0949823240779, "Unlinked Passenger Trips": 1307952, "Passenger Paid Fares": 3592514, - "Average Fare": 2.746671131662324 + "Average Fare": 2.746671131662324, + "Average Passengers": 6.115873120424562 }, { "NTD ID": 60008, @@ -8662,7 +9366,8 @@ "All Fuels (Wh/pkm)": 5214.836301822293, "Unlinked Passenger Trips": 1238290, "Passenger Paid Fares": 1029555, - "Average Fare": 0.8314328630611569 + "Average Fare": 0.8314328630611569, + "Average Passengers": 0.784185041493532 }, { "NTD ID": 60008, @@ -8674,7 +9379,8 @@ "All Fuels (Wh/pkm)": 231.4556394720122, "Unlinked Passenger Trips": 8476224, "Passenger Paid Fares": 1011076, - "Average Fare": 0.11928377541697813 + "Average Fare": 0.11928377541697813, + "Average Passengers": 16.368067177217018 }, { "NTD ID": 60008, @@ -8690,7 +9396,8 @@ "All Fuels (Wh/pkm)": 994.1681580563529, "Unlinked Passenger Trips": 33384449, "Passenger Paid Fares": 15608899, - "Average Fare": 0.46754999610746906 + "Average Fare": 0.46754999610746906, + "Average Passengers": 5.001980184879227 }, { "NTD ID": 60008, @@ -8698,7 +9405,8 @@ "UACE Code": "40429", "Unlinked Passenger Trips": 231412, "Passenger Paid Fares": 25023, - "Average Fare": 0.10813181684614454 + "Average Fare": 0.10813181684614454, + "Average Passengers": 1.6540949427991019 }, { "NTD ID": 60008, @@ -8710,7 +9418,8 @@ "All Fuels (Wh/pkm)": 300.22404292245886, "Unlinked Passenger Trips": 275998, "Passenger Paid Fares": 1135688, - "Average Fare": 4.114841411894289 + "Average Fare": 4.114841411894289, + "Average Passengers": 4.250803024559583 }, { "NTD ID": 60009, @@ -8722,7 +9431,8 @@ "All Fuels (Wh/pkm)": 5679.855333036924, "Unlinked Passenger Trips": 22874, "Passenger Paid Fares": 35139, - "Average Fare": 1.5361983037509837 + "Average Fare": 1.5361983037509837, + "Average Passengers": 0.6334049739023642 }, { "NTD ID": 60009, @@ -8738,7 +9448,8 @@ "All Fuels (Wh/pkm)": 2041.872908805135, "Unlinked Passenger Trips": 1016116, "Passenger Paid Fares": 1366366, - "Average Fare": 1.3446948970393144 + "Average Fare": 1.3446948970393144, + "Average Passengers": 1.961012958296851 }, { "NTD ID": 60010, @@ -8752,7 +9463,8 @@ "All Fuels (Wh/pkm)": 3176.3346722051206, "Unlinked Passenger Trips": 92154, "Passenger Paid Fares": 149374, - "Average Fare": 1.6209171604054082 + "Average Fare": 1.6209171604054082, + "Average Passengers": 0.8159209846917571 }, { "NTD ID": 60010, @@ -8766,7 +9478,8 @@ "All Fuels (Wh/pkm)": 3574.9567508633704, "Unlinked Passenger Trips": 946133, "Passenger Paid Fares": 178048, - "Average Fare": 0.18818495919706849 + "Average Fare": 0.18818495919706849, + "Average Passengers": 1.6452644184504843 }, { "NTD ID": 60011, @@ -8779,7 +9492,8 @@ "All Fuels (Wh/pkm)": 3145.251265159663, "Unlinked Passenger Trips": 683324, "Passenger Paid Fares": 1128346, - "Average Fare": 1.65126060258384 + "Average Fare": 1.65126060258384, + "Average Passengers": 0.8218909144550444 }, { "NTD ID": 60011, @@ -8793,7 +9507,8 @@ "All Fuels (Wh/pkm)": 470.6554045947376, "Unlinked Passenger Trips": 23032608, "Passenger Paid Fares": 9373694, - "Average Fare": 0.40697492876186664 + "Average Fare": 0.40697492876186664, + "Average Passengers": 4.109676591915155 }, { "NTD ID": 60011, @@ -8805,7 +9520,8 @@ "All Fuels (Wh/pkm)": 245.54548044435296, "Unlinked Passenger Trips": 270281, "Passenger Paid Fares": 1360236, - "Average Fare": 5.032673402865906 + "Average Fare": 5.032673402865906, + "Average Passengers": 4.888914185845468 }, { "NTD ID": 60012, @@ -8819,7 +9535,8 @@ "All Fuels (Wh/pkm)": 1046.550886004053, "Unlinked Passenger Trips": 64637, "Passenger Paid Fares": 131623, - "Average Fare": 2.036341414360196 + "Average Fare": 2.036341414360196, + "Average Passengers": 0.8777471225544513 }, { "NTD ID": 60012, @@ -8831,7 +9548,8 @@ "All Fuels (Wh/pkm)": 2589.093449809019, "Unlinked Passenger Trips": 486612, "Passenger Paid Fares": 240187, - "Average Fare": 0.4935903759052387 + "Average Fare": 0.4935903759052387, + "Average Passengers": 2.0296481108588513 }, { "NTD ID": 60014, @@ -8843,7 +9561,8 @@ "All Fuels (Wh/pkm)": 4308.637854905496, "Unlinked Passenger Trips": 18891, "Passenger Paid Fares": 23312, - "Average Fare": 1.2340267852416495 + "Average Fare": 1.2340267852416495, + "Average Passengers": 0.794859951832668 }, { "NTD ID": 60014, @@ -8857,7 +9576,8 @@ "All Fuels (Wh/pkm)": 1455.1347150949525, "Unlinked Passenger Trips": 603889, "Passenger Paid Fares": 432340, - "Average Fare": 0.7159262712187173 + "Average Fare": 0.7159262712187173, + "Average Passengers": 3.7202634521911997 }, { "NTD ID": 60016, @@ -8869,7 +9589,8 @@ "All Fuels (Wh/pkm)": 6863.233022216424, "Unlinked Passenger Trips": 19379, "Passenger Paid Fares": 15192, - "Average Fare": 0.7839413798441612 + "Average Fare": 0.7839413798441612, + "Average Passengers": 0.4236101305805264 }, { "NTD ID": 60016, @@ -8881,7 +9602,8 @@ "All Fuels (Wh/pkm)": 1123.9564612731008, "Unlinked Passenger Trips": 299354, "Passenger Paid Fares": 84068, - "Average Fare": 0.28083139026036064 + "Average Fare": 0.28083139026036064, + "Average Passengers": 1.5687962581516637 }, { "NTD ID": 60017, @@ -8895,7 +9617,8 @@ "All Fuels (Wh/pkm)": 3377.5826221514794, "Unlinked Passenger Trips": 43868, "Passenger Paid Fares": 127260, - "Average Fare": 2.9009756542354337 + "Average Fare": 2.9009756542354337, + "Average Passengers": 0.6263480074945017 }, { "NTD ID": 60017, @@ -8911,7 +9634,8 @@ "All Fuels (Wh/pkm)": 1359.466983588125, "Unlinked Passenger Trips": 1846089, "Passenger Paid Fares": 1281737, - "Average Fare": 0.6942985955715028 + "Average Fare": 0.6942985955715028, + "Average Passengers": 2.820967898543825 }, { "NTD ID": 60017, @@ -8923,7 +9647,8 @@ "All Fuels (Wh/pkm)": 1462.718183383509, "Unlinked Passenger Trips": 246317, "Passenger Paid Fares": 56797, - "Average Fare": 0.2305849778943394 + "Average Fare": 0.2305849778943394, + "Average Passengers": 4.4676080867683465 }, { "NTD ID": 60018, @@ -8937,7 +9662,8 @@ "All Fuels (Wh/pkm)": 661.9992866081195, "Unlinked Passenger Trips": 69537, "Passenger Paid Fares": 211797, - "Average Fare": 3.04581733465637 + "Average Fare": 3.04581733465637, + "Average Passengers": 0.8528050206861049 }, { "NTD ID": 60018, @@ -8951,7 +9677,8 @@ "All Fuels (Wh/pkm)": 597.3713754487916, "Unlinked Passenger Trips": 1281697, "Passenger Paid Fares": 1270152, - "Average Fare": 0.9909924108428123 + "Average Fare": 0.9909924108428123, + "Average Passengers": 2.2800835346813804 }, { "NTD ID": 60019, @@ -8963,7 +9690,8 @@ "All Fuels (Wh/pkm)": 1948.558556652162, "Unlinked Passenger Trips": 90315, "Passenger Paid Fares": 103383, - "Average Fare": 1.144693572496263 + "Average Fare": 1.144693572496263, + "Average Passengers": 0.6402859031580795 }, { "NTD ID": 60019, @@ -8979,7 +9707,8 @@ "All Fuels (Wh/pkm)": 1223.9643354391028, "Unlinked Passenger Trips": 2865525, "Passenger Paid Fares": 1194966, - "Average Fare": 0.41701468317324053 + "Average Fare": 0.41701468317324053, + "Average Passengers": 2.5370226794646116 }, { "NTD ID": 60022, @@ -8991,7 +9720,8 @@ "All Fuels (Wh/pkm)": 3686.6447057319583, "Unlinked Passenger Trips": 52063, "Passenger Paid Fares": 38371, - "Average Fare": 0.7370109290667076 + "Average Fare": 0.7370109290667076, + "Average Passengers": 0.8557929480406549 }, { "NTD ID": 60022, @@ -9005,7 +9735,8 @@ "All Fuels (Wh/pkm)": 2389.462331263839, "Unlinked Passenger Trips": 1110001, "Passenger Paid Fares": 571963, - "Average Fare": 0.5152815177643985 + "Average Fare": 0.5152815177643985, + "Average Passengers": 2.0235303313992383 }, { "NTD ID": 60024, @@ -9017,7 +9748,8 @@ "All Fuels (Wh/pkm)": 2699.801124395965, "Unlinked Passenger Trips": 58945, "Passenger Paid Fares": 127943, - "Average Fare": 2.170548816693528 + "Average Fare": 2.170548816693528, + "Average Passengers": 0.8272418640208464 }, { "NTD ID": 60024, @@ -9033,7 +9765,8 @@ "All Fuels (Wh/pkm)": 609.1172761561751, "Unlinked Passenger Trips": 1209548, "Passenger Paid Fares": 854094, - "Average Fare": 0.7061265861296947 + "Average Fare": 0.7061265861296947, + "Average Passengers": 3.7477741468450954 }, { "NTD ID": 60032, @@ -9045,7 +9778,8 @@ "All Fuels (Wh/pkm)": 3003.4330198192565, "Unlinked Passenger Trips": 142810, "Passenger Paid Fares": 247922, - "Average Fare": 1.7360268888733281 + "Average Fare": 1.7360268888733281, + "Average Passengers": 0.8960278036015998 }, { "NTD ID": 60032, @@ -9057,7 +9791,8 @@ "All Fuels (Wh/pkm)": 14049.748417040879, "Unlinked Passenger Trips": 626822, "Passenger Paid Fares": 970500, - "Average Fare": 1.54828643538357 + "Average Fare": 1.54828643538357, + "Average Passengers": 15.458002466091244 }, { "NTD ID": 60032, @@ -9069,7 +9804,8 @@ "All Fuels (Wh/pkm)": 1860.8772847409416, "Unlinked Passenger Trips": 4615821, "Passenger Paid Fares": 5107293, - "Average Fare": 1.1064755327383795 + "Average Fare": 1.1064755327383795, + "Average Passengers": 3.0120694372716064 }, { "NTD ID": 60032, @@ -9081,7 +9817,8 @@ "All Fuels (Wh/pkm)": 333.0168117197254, "Unlinked Passenger Trips": 2317262, "Passenger Paid Fares": 1783027, - "Average Fare": 0.769454209321173 + "Average Fare": 0.769454209321173, + "Average Passengers": 7.46844266036645 }, { "NTD ID": 60033, @@ -9093,7 +9830,8 @@ "All Fuels (Wh/pkm)": 3858.8479027334993, "Unlinked Passenger Trips": 127932, "Passenger Paid Fares": 213597, - "Average Fare": 1.6696135446956195 + "Average Fare": 1.6696135446956195, + "Average Passengers": 0.6256787720331557 }, { "NTD ID": 60033, @@ -9107,7 +9845,8 @@ "All Fuels (Wh/pkm)": 1081.6655176610568, "Unlinked Passenger Trips": 1210842, "Passenger Paid Fares": 790251, - "Average Fare": 0.6526458447923016 + "Average Fare": 0.6526458447923016, + "Average Passengers": 3.253841035516694 }, { "NTD ID": 60033, @@ -9117,7 +9856,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 2161.732528856649, "All Fuels (Wh/pkm)": 2161.732528856649, - "Unlinked Passenger Trips": 22798 + "Unlinked Passenger Trips": 22798, + "Average Passengers": 3.6100134985887835 }, { "NTD ID": 60033, @@ -9129,7 +9869,8 @@ "All Fuels (Wh/pkm)": 201.46565196859757, "Unlinked Passenger Trips": 7267, "Passenger Paid Fares": 16393, - "Average Fare": 2.255813953488372 + "Average Fare": 2.255813953488372, + "Average Passengers": 3.6508014978121848 }, { "NTD ID": 60038, @@ -9141,7 +9882,8 @@ "All Fuels (Wh/pkm)": 1215.8404989493442, "Unlinked Passenger Trips": 28195, "Passenger Paid Fares": 49685, - "Average Fare": 1.7621918779925518 + "Average Fare": 1.7621918779925518, + "Average Passengers": 1.2816229116945108 }, { "NTD ID": 60038, @@ -9155,7 +9897,8 @@ "All Fuels (Wh/pkm)": 555.4899725142014, "Unlinked Passenger Trips": 751212, "Passenger Paid Fares": 233162, - "Average Fare": 0.31038109082389526 + "Average Fare": 0.31038109082389526, + "Average Passengers": 6.450286836690154 }, { "NTD ID": 60041, @@ -9169,7 +9912,8 @@ "All Fuels (Wh/pkm)": 218.6671307710797, "Unlinked Passenger Trips": 452375, "Passenger Paid Fares": 980086, - "Average Fare": 2.1665344017684443 + "Average Fare": 2.1665344017684443, + "Average Passengers": 12.912789307152742 }, { "NTD ID": 60048, @@ -9181,7 +9925,8 @@ "All Fuels (Wh/pkm)": 2421.8358377168556, "Unlinked Passenger Trips": 45894, "Passenger Paid Fares": 131774, - "Average Fare": 2.871268575412908 + "Average Fare": 2.871268575412908, + "Average Passengers": 2.1710546618281565 }, { "NTD ID": 60048, @@ -9195,7 +9940,8 @@ "All Fuels (Wh/pkm)": 4587.956484022241, "Unlinked Passenger Trips": 487924, "Passenger Paid Fares": 499389, - "Average Fare": 1.0234975119075922 + "Average Fare": 1.0234975119075922, + "Average Passengers": 0.5898549483891695 }, { "NTD ID": 60048, @@ -9211,7 +9957,8 @@ "All Fuels (Wh/pkm)": 1458.6805688082054, "Unlinked Passenger Trips": 15789410, "Passenger Paid Fares": 5335213, - "Average Fare": 0.33789818618935097 + "Average Fare": 0.33789818618935097, + "Average Passengers": 4.458743538112997 }, { "NTD ID": 60048, @@ -9223,7 +9970,8 @@ "All Fuels (Wh/pkm)": 237.68096515150316, "Unlinked Passenger Trips": 235669, "Passenger Paid Fares": 940189, - "Average Fare": 3.9894470634661325 + "Average Fare": 3.9894470634661325, + "Average Passengers": 4.669981752491081 }, { "NTD ID": 60048, @@ -9235,7 +9983,8 @@ "All Fuels (Wh/pkm)": 798.5962413993338, "Unlinked Passenger Trips": 256982, "Passenger Paid Fares": 456438, - "Average Fare": 1.776147745756512 + "Average Fare": 1.776147745756512, + "Average Passengers": 8.813265551312746 }, { "NTD ID": 60051, @@ -9249,7 +9998,8 @@ "All Fuels (Wh/pkm)": 1490.8783715290967, "Unlinked Passenger Trips": 136086, "Passenger Paid Fares": 148687, - "Average Fare": 1.0925958585012419 + "Average Fare": 1.0925958585012419, + "Average Passengers": 0.9310880029061848 }, { "NTD ID": 60051, @@ -9265,7 +10015,8 @@ "All Fuels (Wh/pkm)": 668.6980559138246, "Unlinked Passenger Trips": 2181460, "Passenger Paid Fares": 610184, - "Average Fare": 0.27971358631375315 + "Average Fare": 0.27971358631375315, + "Average Passengers": 3.0511537469570746 }, { "NTD ID": 60051, @@ -9277,7 +10028,8 @@ "All Fuels (Wh/pkm)": 202.86362771876222, "Unlinked Passenger Trips": 64847, "Passenger Paid Fares": 287843, - "Average Fare": 4.438802103412648 + "Average Fare": 4.438802103412648, + "Average Passengers": 4.611507352238179 }, { "NTD ID": 60056, @@ -9289,7 +10041,8 @@ "All Fuels (Wh/pkm)": 2415.456028034118, "Unlinked Passenger Trips": 795302, "Passenger Paid Fares": 2255350, - "Average Fare": 2.8358409761323373 + "Average Fare": 2.8358409761323373, + "Average Passengers": 22.403320594809166 }, { "NTD ID": 60056, @@ -9299,7 +10052,8 @@ "CNG (Wh/pkm)": 1445.704394741245, "Unlinked Passenger Trips": 580173, "Passenger Paid Fares": 1393166, - "Average Fare": 2.4012940967607936 + "Average Fare": 2.4012940967607936, + "Average Passengers": 0.7029619170722335 }, { "NTD ID": 60056, @@ -9311,7 +10065,8 @@ "All Fuels (Wh/pkm)": 303.5647373389795, "Unlinked Passenger Trips": 14487228, "Passenger Paid Fares": 10728251, - "Average Fare": 0.7405316600249544 + "Average Fare": 0.7405316600249544, + "Average Passengers": 24.201769438410217 }, { "NTD ID": 60056, @@ -9325,7 +10080,8 @@ "All Fuels (Wh/pkm)": 563.8682345005257, "Unlinked Passenger Trips": 19432200, "Passenger Paid Fares": 14412221, - "Average Fare": 0.7416669754325295 + "Average Fare": 0.7416669754325295, + "Average Passengers": 2.8332268278663246 }, { "NTD ID": 60056, @@ -9337,7 +10093,8 @@ "All Fuels (Wh/pkm)": 2212.176280743165, "Unlinked Passenger Trips": 115983, "Passenger Paid Fares": 87814, - "Average Fare": 0.7571281998223878 + "Average Fare": 0.7571281998223878, + "Average Passengers": 2.0654195501730106 }, { "NTD ID": 60056, @@ -9349,7 +10106,8 @@ "All Fuels (Wh/pkm)": 429.2805784057031, "Unlinked Passenger Trips": 24062, "Passenger Paid Fares": 89742, - "Average Fare": 3.729615160834511 + "Average Fare": 3.729615160834511, + "Average Passengers": 4.2842920549592405 }, { "NTD ID": 60059, @@ -9361,7 +10119,8 @@ "All Fuels (Wh/pkm)": 3713.3757396644355, "Unlinked Passenger Trips": 61457, "Passenger Paid Fares": 47880, - "Average Fare": 0.7790813088826334 + "Average Fare": 0.7790813088826334, + "Average Passengers": 0.6846993703925226 }, { "NTD ID": 60059, @@ -9373,7 +10132,8 @@ "All Fuels (Wh/pkm)": 3705.809303869673, "Unlinked Passenger Trips": 218940, "Passenger Paid Fares": 31313, - "Average Fare": 0.14302091897323468 + "Average Fare": 0.14302091897323468, + "Average Passengers": 1.4537377492431252 }, { "NTD ID": 60077, @@ -9385,7 +10145,8 @@ "All Fuels (Wh/pkm)": 6801.048509752178, "Unlinked Passenger Trips": 21615, "Passenger Paid Fares": 43134, - "Average Fare": 1.995558639833449 + "Average Fare": 1.995558639833449, + "Average Passengers": 0.4630225860239502 }, { "NTD ID": 60077, @@ -9399,7 +10160,8 @@ "All Fuels (Wh/pkm)": 2248.0863520359994, "Unlinked Passenger Trips": 283765, "Passenger Paid Fares": 133538, - "Average Fare": 0.47059362500660756 + "Average Fare": 0.47059362500660756, + "Average Passengers": 0.9837558499844284 }, { "NTD ID": 60088, @@ -9410,7 +10172,8 @@ "All Fuels (Wh/pkm)": 5620.340503211335, "Unlinked Passenger Trips": 48932, "Passenger Paid Fares": 120092, - "Average Fare": 2.4542630589389356 + "Average Fare": 2.4542630589389356, + "Average Passengers": 0.6551142081422956 }, { "NTD ID": 60088, @@ -9418,7 +10181,8 @@ "UACE Code": "62677", "Unlinked Passenger Trips": 1001179, "Passenger Paid Fares": 1584432, - "Average Fare": 1.58256615450384 + "Average Fare": 1.58256615450384, + "Average Passengers": 3.3156425819900415 }, { "NTD ID": 60090, @@ -9428,7 +10192,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1217.6653962966782, "All Fuels (Wh/pkm)": 1217.6653962966782, - "Unlinked Passenger Trips": 14631 + "Unlinked Passenger Trips": 14631, + "Average Passengers": 1.3167804899067153 }, { "NTD ID": 60090, @@ -9438,7 +10203,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2746.6762995038566, "All Fuels (Wh/pkm)": 3398.388669265346, - "Unlinked Passenger Trips": 206013 + "Unlinked Passenger Trips": 206013, + "Average Passengers": 1.0447525892027962 }, { "NTD ID": 60091, @@ -9452,7 +10218,8 @@ "All Fuels (Wh/pkm)": 3116.4308446967316, "Unlinked Passenger Trips": 95989, "Passenger Paid Fares": 94334, - "Average Fare": 0.9827584410713728 + "Average Fare": 0.9827584410713728, + "Average Passengers": 0.911094612069219 }, { "NTD ID": 60091, @@ -9464,7 +10231,8 @@ "All Fuels (Wh/pkm)": 2478.679710590204, "Unlinked Passenger Trips": 183975, "Passenger Paid Fares": 96600, - "Average Fare": 0.525071341214839 + "Average Fare": 0.525071341214839, + "Average Passengers": 2.110430322332212 }, { "NTD ID": 60095, @@ -9474,7 +10242,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2144.3946567925614, "All Fuels (Wh/pkm)": 2691.872626840694, - "Unlinked Passenger Trips": 83707 + "Unlinked Passenger Trips": 83707, + "Average Passengers": 1.096934604904632 }, { "NTD ID": 60095, @@ -9484,7 +10253,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 4049.318540282751, "All Fuels (Wh/pkm)": 4049.318540282751, - "Unlinked Passenger Trips": 34465 + "Unlinked Passenger Trips": 34465, + "Average Passengers": 0.7155285739765754 }, { "NTD ID": 60095, @@ -9494,7 +10264,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 3082.413947236333, "All Fuels (Wh/pkm)": 3082.413947236333, - "Unlinked Passenger Trips": 141267 + "Unlinked Passenger Trips": 141267, + "Average Passengers": 0.7510538870367012 }, { "NTD ID": 60101, @@ -9506,7 +10277,8 @@ "All Fuels (Wh/pkm)": 5211.257988222444, "Unlinked Passenger Trips": 47690, "Passenger Paid Fares": 244332, - "Average Fare": 5.123338226043195 + "Average Fare": 5.123338226043195, + "Average Passengers": 0.9604951192512831 }, { "NTD ID": 60101, @@ -9518,7 +10290,8 @@ "All Fuels (Wh/pkm)": 3477.327346076752, "Unlinked Passenger Trips": 686796, "Passenger Paid Fares": 237591, - "Average Fare": 0.34594115283140847 + "Average Fare": 0.34594115283140847, + "Average Passengers": 1.3170038194935636 }, { "NTD ID": 60101, @@ -9530,7 +10303,8 @@ "All Fuels (Wh/pkm)": 187.23204322231715, "Unlinked Passenger Trips": 216450, "Passenger Paid Fares": 692638, - "Average Fare": 3.1999907599907598 + "Average Fare": 3.1999907599907598, + "Average Passengers": 7.2311750117300075 }, { "NTD ID": 60101, @@ -9542,7 +10316,8 @@ "All Fuels (Wh/pkm)": 1251.7481890357487, "Unlinked Passenger Trips": 113440, "Passenger Paid Fares": 262057, - "Average Fare": 2.310093441466855 + "Average Fare": 2.310093441466855, + "Average Passengers": 5.899053627760252 }, { "NTD ID": 60102, @@ -9556,7 +10331,8 @@ "All Fuels (Wh/pkm)": 748.5425812271286, "Unlinked Passenger Trips": 48533, "Passenger Paid Fares": 18974, - "Average Fare": 0.39095048729730286 + "Average Fare": 0.39095048729730286, + "Average Passengers": 1.3981649426002662 }, { "NTD ID": 60102, @@ -9564,7 +10340,8 @@ "UACE Code": "78553", "Unlinked Passenger Trips": 159073, "Passenger Paid Fares": 63119, - "Average Fare": 0.3967926675174291 + "Average Fare": 0.3967926675174291, + "Average Passengers": 3.397639398668936 }, { "NTD ID": 60103, @@ -9578,7 +10355,8 @@ "All Fuels (Wh/pkm)": 188.2991341847149, "Unlinked Passenger Trips": 80578, "Passenger Paid Fares": 277392, - "Average Fare": 3.4425277370994563 + "Average Fare": 3.4425277370994563, + "Average Passengers": 3.2829657697092407 }, { "NTD ID": 60107, @@ -9590,7 +10368,8 @@ "All Fuels (Wh/pkm)": 2585.241113217442, "Unlinked Passenger Trips": 38470, "Passenger Paid Fares": 36257, - "Average Fare": 0.9424746555757734 + "Average Fare": 0.9424746555757734, + "Average Passengers": 0.909820843783447 }, { "NTD ID": 60111, @@ -9600,7 +10379,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 4803.507085006729, "All Fuels (Wh/pkm)": 4803.507085006729, - "Unlinked Passenger Trips": 7804 + "Unlinked Passenger Trips": 7804, + "Average Passengers": 0.5267709144055562 }, { "NTD ID": 60111, @@ -9612,7 +10392,8 @@ "All Fuels (Wh/pkm)": 2648.6395881505273, "Unlinked Passenger Trips": 40894, "Passenger Paid Fares": 131360, - "Average Fare": 3.2122071697559544 + "Average Fare": 3.2122071697559544, + "Average Passengers": 22.24269691401052 }, { "NTD ID": 60111, @@ -9622,7 +10403,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2261.717214306707, "All Fuels (Wh/pkm)": 2261.717214306707, - "Unlinked Passenger Trips": 26303 + "Unlinked Passenger Trips": 26303, + "Average Passengers": 0.5335350232204458 }, { "NTD ID": 60114, @@ -9634,7 +10416,8 @@ "All Fuels (Wh/pkm)": 3587.1513693879406, "Unlinked Passenger Trips": 96762, "Passenger Paid Fares": 117343, - "Average Fare": 1.212697133172113 + "Average Fare": 1.212697133172113, + "Average Passengers": 0.7147590049096559 }, { "NTD ID": 60114, @@ -9642,7 +10425,8 @@ "UACE Code": "22042", "Unlinked Passenger Trips": 30740, "Passenger Paid Fares": 25584, - "Average Fare": 0.8322706571242681 + "Average Fare": 0.8322706571242681, + "Average Passengers": 0.9658468281991964 }, { "NTD ID": 60127, @@ -9652,7 +10436,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 1065.9502745536931, "All Fuels (Wh/pkm)": 1065.9502745536931, - "Unlinked Passenger Trips": 4732 + "Unlinked Passenger Trips": 4732, + "Average Passengers": 1.9682064370911503 }, { "NTD ID": 60127, @@ -9664,7 +10449,8 @@ "All Fuels (Wh/pkm)": 22076.80434603259, "Unlinked Passenger Trips": 448541, "Passenger Paid Fares": 186461, - "Average Fare": 0.41570558767203 + "Average Fare": 0.41570558767203, + "Average Passengers": 14.906679960119643 }, { "NTD ID": 60130, @@ -9676,7 +10462,8 @@ "All Fuels (Wh/pkm)": 4904.959223880646, "Unlinked Passenger Trips": 115657, "Passenger Paid Fares": 83282, - "Average Fare": 0.720077470451421 + "Average Fare": 0.720077470451421, + "Average Passengers": 0.5252411672816685 }, { "NTD ID": 60133, @@ -9688,7 +10475,8 @@ "All Fuels (Wh/pkm)": 224.54613337202667, "Unlinked Passenger Trips": 677694, "Passenger Paid Fares": 33872, - "Average Fare": 0.04998125997869245 + "Average Fare": 0.04998125997869245, + "Average Passengers": 12.317011596293625 }, { "NTD ID": 60134, @@ -9700,7 +10488,8 @@ "All Fuels (Wh/pkm)": 776.7214870333297, "Unlinked Passenger Trips": 130285, "Passenger Paid Fares": 933603, - "Average Fare": 7.165851786468128 + "Average Fare": 7.165851786468128, + "Average Passengers": 6.394616011586345 }, { "NTD ID": 60134, @@ -9709,7 +10498,8 @@ "Other (%)": 100.0, "All Fuels (%)": 100, "All Fuels (Wh/pkm)": 1453.9779091585383, - "Unlinked Passenger Trips": 121285 + "Unlinked Passenger Trips": 121285, + "Average Passengers": 3.0168623821368654 }, { "NTD ID": 60269, @@ -9719,7 +10509,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2298.4286027476246, "All Fuels (Wh/pkm)": 2298.4286027476246, - "Unlinked Passenger Trips": 803400 + "Unlinked Passenger Trips": 803400, + "Average Passengers": 2.4206768956192954 }, { "NTD ID": 66339, @@ -9731,7 +10522,8 @@ "All Fuels (Wh/pkm)": 314.1205208388285, "Unlinked Passenger Trips": 87255, "Passenger Paid Fares": 517154, - "Average Fare": 5.926926823677726 + "Average Fare": 5.926926823677726, + "Average Passengers": 3.9254107830869094 }, { "NTD ID": 70001, @@ -9743,7 +10535,8 @@ "Gasoline (Wh/pkm)": 2205.36226569401, "CNG (Wh/pkm)": 717.6668609167348, "All Fuels (Wh/pkm)": 1267.2451585223828, - "Unlinked Passenger Trips": 64124 + "Unlinked Passenger Trips": 64124, + "Average Passengers": 0.9697701427938805 }, { "NTD ID": 70001, @@ -9759,7 +10552,8 @@ "All Fuels (Wh/pkm)": 1111.8175847570988, "Unlinked Passenger Trips": 1701799, "Passenger Paid Fares": 2118075, - "Average Fare": 1.2446093810138565 + "Average Fare": 1.2446093810138565, + "Average Passengers": 2.910838379698315 }, { "NTD ID": 70002, @@ -9771,7 +10565,8 @@ "All Fuels (Wh/pkm)": 3823.467878222905, "Unlinked Passenger Trips": 70753, "Passenger Paid Fares": 153196, - "Average Fare": 2.1652226760702726 + "Average Fare": 2.1652226760702726, + "Average Passengers": 0.7383634942110415 }, { "NTD ID": 70002, @@ -9785,7 +10580,8 @@ "All Fuels (Wh/pkm)": 1962.378930393725, "Unlinked Passenger Trips": 2084221, "Passenger Paid Fares": 2890572, - "Average Fare": 1.386883636620109 + "Average Fare": 1.386883636620109, + "Average Passengers": 1.9400120012736046 }, { "NTD ID": 70003, @@ -9797,7 +10593,8 @@ "All Fuels (Wh/pkm)": 4122.447883053584, "Unlinked Passenger Trips": 14209, "Passenger Paid Fares": 19586, - "Average Fare": 1.3784221268210288 + "Average Fare": 1.3784221268210288, + "Average Passengers": 0.7058316599732262 }, { "NTD ID": 70003, @@ -9809,7 +10606,8 @@ "All Fuels (Wh/pkm)": 1329.3873018962363, "Unlinked Passenger Trips": 773514, "Passenger Paid Fares": 502143, - "Average Fare": 0.6491711850076405 + "Average Fare": 0.6491711850076405, + "Average Passengers": 3.505492740260379 }, { "NTD ID": 70005, @@ -9824,7 +10622,8 @@ "All Fuels (Wh/pkm)": 716.3161336416255, "Unlinked Passenger Trips": 298157, "Passenger Paid Fares": 406470, - "Average Fare": 1.363275053076064 + "Average Fare": 1.363275053076064, + "Average Passengers": 2.2976758556015167 }, { "NTD ID": 70005, @@ -9840,7 +10639,8 @@ "All Fuels (Wh/pkm)": 471.7772646005122, "Unlinked Passenger Trips": 8431320, "Passenger Paid Fares": 43677, - "Average Fare": 0.005180327635530379 + "Average Fare": 0.005180327635530379, + "Average Passengers": 5.28678859670384 }, { "NTD ID": 70005, @@ -9852,7 +10652,8 @@ "All Fuels (Wh/pkm)": 280.9143328193184, "Unlinked Passenger Trips": 31734, "Passenger Paid Fares": 125657, - "Average Fare": 3.9596962248692256 + "Average Fare": 3.9596962248692256, + "Average Passengers": 4.06003744783136 }, { "NTD ID": 70006, @@ -9864,7 +10665,8 @@ "All Fuels (Wh/pkm)": 2701.92840338424, "Unlinked Passenger Trips": 411463, "Passenger Paid Fares": 22785, - "Average Fare": 0.0553755744744971 + "Average Fare": 0.0553755744744971, + "Average Passengers": 1.061338921098033 }, { "NTD ID": 70006, @@ -9876,7 +10678,8 @@ "All Fuels (Wh/pkm)": 284.5747445926106, "Unlinked Passenger Trips": 5472085, "Passenger Paid Fares": 5750911, - "Average Fare": 1.0509542523553637 + "Average Fare": 1.0509542523553637, + "Average Passengers": 13.293721139084473 }, { "NTD ID": 70006, @@ -9890,7 +10693,8 @@ "All Fuels (Wh/pkm)": 1302.7120688590717, "Unlinked Passenger Trips": 11499132, "Passenger Paid Fares": 12133860, - "Average Fare": 1.055197905372336 + "Average Fare": 1.055197905372336, + "Average Passengers": 3.5940032733737057 }, { "NTD ID": 70008, @@ -9902,7 +10706,8 @@ "All Fuels (Wh/pkm)": 2703.9284161659207, "Unlinked Passenger Trips": 14108, "Passenger Paid Fares": 126144, - "Average Fare": 8.941309895094982 + "Average Fare": 8.941309895094982, + "Average Passengers": 0.6537584310090377 }, { "NTD ID": 70008, @@ -9914,7 +10719,8 @@ "All Fuels (Wh/pkm)": 1778.5257238446366, "Unlinked Passenger Trips": 556654, "Passenger Paid Fares": 62285, - "Average Fare": 0.111891767597107 + "Average Fare": 0.111891767597107, + "Average Passengers": 2.831601693065173 }, { "NTD ID": 70010, @@ -9928,7 +10734,8 @@ "All Fuels (Wh/pkm)": 3828.3961907756543, "Unlinked Passenger Trips": 52000, "Passenger Paid Fares": 81225, - "Average Fare": 1.5620192307692307 + "Average Fare": 1.5620192307692307, + "Average Passengers": 0.7771991258222242 }, { "NTD ID": 70010, @@ -9942,7 +10749,8 @@ "All Fuels (Wh/pkm)": 2379.4032625927125, "Unlinked Passenger Trips": 1773145, "Passenger Paid Fares": 1189986, - "Average Fare": 0.6711160113809079 + "Average Fare": 0.6711160113809079, + "Average Passengers": 2.1940326371009156 }, { "NTD ID": 70010, @@ -9954,7 +10762,8 @@ "All Fuels (Wh/pkm)": 373.76603576184084, "Unlinked Passenger Trips": 81323, "Passenger Paid Fares": 306465, - "Average Fare": 3.7684910787845998 + "Average Fare": 3.7684910787845998, + "Average Passengers": 3.69638760778505 }, { "NTD ID": 70012, @@ -9966,7 +10775,8 @@ "All Fuels (Wh/pkm)": 3175.905406621023, "Unlinked Passenger Trips": 21402, "Passenger Paid Fares": 63709, - "Average Fare": 2.976777871226988 + "Average Fare": 2.976777871226988, + "Average Passengers": 1.0 }, { "NTD ID": 70012, @@ -9978,7 +10788,8 @@ "All Fuels (Wh/pkm)": 1236.2671145039133, "Unlinked Passenger Trips": 520346, "Passenger Paid Fares": 459901, - "Average Fare": 0.8838369085185627 + "Average Fare": 0.8838369085185627, + "Average Passengers": 3.8820107617053266 }, { "NTD ID": 70014, @@ -9990,7 +10801,8 @@ "All Fuels (Wh/pkm)": 2519.8185044475986, "Unlinked Passenger Trips": 36006, "Passenger Paid Fares": 76062, - "Average Fare": 2.1124812531244794 + "Average Fare": 2.1124812531244794, + "Average Passengers": 1.2887325279268687 }, { "NTD ID": 70014, @@ -10002,7 +10814,8 @@ "All Fuels (Wh/pkm)": 1279.531147840372, "Unlinked Passenger Trips": 767435, "Passenger Paid Fares": 386341, - "Average Fare": 0.5034185305595914 + "Average Fare": 0.5034185305595914, + "Average Passengers": 3.4758078697881074 }, { "NTD ID": 70015, @@ -10014,7 +10827,8 @@ "All Fuels (Wh/pkm)": 2743.0842935999035, "Unlinked Passenger Trips": 73683, "Passenger Paid Fares": 219122, - "Average Fare": 2.973847427493452 + "Average Fare": 2.973847427493452, + "Average Passengers": 0.993839089711182 }, { "NTD ID": 70015, @@ -10028,7 +10842,8 @@ "All Fuels (Wh/pkm)": 1692.9698523663328, "Unlinked Passenger Trips": 768859, "Passenger Paid Fares": 777182, - "Average Fare": 1.0108251317861923 + "Average Fare": 1.0108251317861923, + "Average Passengers": 2.464478809579434 }, { "NTD ID": 70016, @@ -10040,7 +10855,8 @@ "Gasoline (Wh/pkm)": 5585.616264676024, "CNG (Wh/pkm)": 1554.03994196272, "All Fuels (Wh/pkm)": 5285.895109530209, - "Unlinked Passenger Trips": 34611 + "Unlinked Passenger Trips": 34611, + "Average Passengers": 0.6704844030634269 }, { "NTD ID": 70016, @@ -10054,7 +10870,8 @@ "CNG (Wh/pkm)": 577.1212253666794, "Electric (Wh/pkm)": 141.44646699709048, "All Fuels (Wh/pkm)": 1015.042800459634, - "Unlinked Passenger Trips": 500287 + "Unlinked Passenger Trips": 500287, + "Average Passengers": 4.39297646093049 }, { "NTD ID": 70018, @@ -10066,7 +10883,8 @@ "All Fuels (Wh/pkm)": 3540.637338650893, "Unlinked Passenger Trips": 525416, "Passenger Paid Fares": 668695, - "Average Fare": 1.2726963015972106 + "Average Fare": 1.2726963015972106, + "Average Passengers": 1.581787568166778 }, { "NTD ID": 70019, @@ -10078,7 +10896,8 @@ "Gasoline (Wh/pkm)": 4836.396831106794, "Diesel (Wh/pkm)": 1551.8463270601958, "All Fuels (Wh/pkm)": 2020.5192208801127, - "Unlinked Passenger Trips": 2950 + "Unlinked Passenger Trips": 2950, + "Average Passengers": 0.48823260073260066 }, { "NTD ID": 70019, @@ -10088,7 +10907,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2331.155977138613, "All Fuels (Wh/pkm)": 2331.155977138613, - "Unlinked Passenger Trips": 1362728 + "Unlinked Passenger Trips": 1362728, + "Average Passengers": 2.690287073594719 }, { "NTD ID": 70030, @@ -10100,7 +10920,8 @@ "All Fuels (Wh/pkm)": 1693.3619193232955, "Unlinked Passenger Trips": 191560, "Passenger Paid Fares": 62020, - "Average Fare": 0.32376278972645645 + "Average Fare": 0.32376278972645645, + "Average Passengers": 3.1356019143330958 }, { "NTD ID": 70035, @@ -10110,7 +10931,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 3339.4535481466555, "All Fuels (Wh/pkm)": 3339.4535481466555, - "Unlinked Passenger Trips": 11209 + "Unlinked Passenger Trips": 11209, + "Average Passengers": 0.5155408331754324 }, { "NTD ID": 70035, @@ -10124,7 +10946,8 @@ "All Fuels (Wh/pkm)": 2066.5169590965907, "Unlinked Passenger Trips": 75917, "Passenger Paid Fares": 42174, - "Average Fare": 0.5555277474083539 + "Average Fare": 0.5555277474083539, + "Average Passengers": 0.9848799508556645 }, { "NTD ID": 70035, @@ -10138,7 +10961,8 @@ "Diesel (Wh/pkm)": 2917.1449501821226, "CNG (Wh/pkm)": 1160.2871023269417, "All Fuels (Wh/pkm)": 2582.923777408046, - "Unlinked Passenger Trips": 145435 + "Unlinked Passenger Trips": 145435, + "Average Passengers": 1.7170252145946043 }, { "NTD ID": 70041, @@ -10152,7 +10976,8 @@ "All Fuels (Wh/pkm)": 2322.86024089363, "Unlinked Passenger Trips": 1855926, "Passenger Paid Fares": 1592065, - "Average Fare": 0.8578278444291421 + "Average Fare": 0.8578278444291421, + "Average Passengers": 2.267562751758325 }, { "NTD ID": 70044, @@ -10160,7 +10985,8 @@ "UACE Code": "48232", "Unlinked Passenger Trips": 257534, "Passenger Paid Fares": 3388482, - "Average Fare": 13.157416108164359 + "Average Fare": 13.157416108164359, + "Average Passengers": 0.8324121460252474 }, { "NTD ID": 70045, @@ -10172,7 +10998,8 @@ "All Fuels (Wh/pkm)": 5546.275834517581, "Unlinked Passenger Trips": 34358, "Passenger Paid Fares": 37338, - "Average Fare": 1.0867338028988882 + "Average Fare": 1.0867338028988882, + "Average Passengers": 0.5888796973761355 }, { "NTD ID": 70048, @@ -10184,7 +11011,8 @@ "All Fuels (Wh/pkm)": 4091.405341327075, "Unlinked Passenger Trips": 57960, "Passenger Paid Fares": 88771, - "Average Fare": 1.5315907522429262 + "Average Fare": 1.5315907522429262, + "Average Passengers": 0.8660128127175474 }, { "NTD ID": 70048, @@ -10198,7 +11026,8 @@ "All Fuels (Wh/pkm)": 2620.409630822358, "Unlinked Passenger Trips": 581567, "Passenger Paid Fares": 205237, - "Average Fare": 0.3529034487857805 + "Average Fare": 0.3529034487857805, + "Average Passengers": 1.699877296941402 }, { "NTD ID": 70049, @@ -10210,7 +11039,8 @@ "All Fuels (Wh/pkm)": 1786.4387545918505, "Unlinked Passenger Trips": 92564, "Passenger Paid Fares": 72392, - "Average Fare": 0.7820751047923599 + "Average Fare": 0.7820751047923599, + "Average Passengers": 0.9759273083994521 }, { "NTD ID": 70066, @@ -10224,7 +11054,8 @@ "All Fuels (Wh/pkm)": 6571.578651662964, "Unlinked Passenger Trips": 56105, "Passenger Paid Fares": 99913, - "Average Fare": 1.780821673647625 + "Average Fare": 1.780821673647625, + "Average Passengers": 0.6111167028199566 }, { "NTD ID": 70271, @@ -10234,7 +11065,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 437.22152602851276, "All Fuels (Wh/pkm)": 437.22152602851276, - "Unlinked Passenger Trips": 598356 + "Unlinked Passenger Trips": 598356, + "Average Passengers": 9.396021437006086 }, { "NTD ID": 70275, @@ -10246,7 +11078,8 @@ "All Fuels (Wh/pkm)": 368.306038654962, "Unlinked Passenger Trips": 92442, "Passenger Paid Fares": 513133, - "Average Fare": 5.550864325739383 + "Average Fare": 5.550864325739383, + "Average Passengers": 4.287471889793043 }, { "NTD ID": 80001, @@ -10258,7 +11091,8 @@ "All Fuels (Wh/pkm)": 1168.687233372429, "Unlinked Passenger Trips": 429250, "Passenger Paid Fares": 164269, - "Average Fare": 0.38268841001747234 + "Average Fare": 0.38268841001747234, + "Average Passengers": 4.117777713841816 }, { "NTD ID": 80001, @@ -10270,7 +11104,8 @@ "All Fuels (Wh/pkm)": 928.5872396051607, "Unlinked Passenger Trips": 2062334, "Passenger Paid Fares": 1703435, - "Average Fare": 0.8259743572088711 + "Average Fare": 0.8259743572088711, + "Average Passengers": 47.459000436578094 }, { "NTD ID": 80001, @@ -10284,7 +11119,8 @@ "All Fuels (Wh/pkm)": 3541.6022509812533, "Unlinked Passenger Trips": 301505, "Passenger Paid Fares": 200847, - "Average Fare": 0.6661481567469859 + "Average Fare": 0.6661481567469859, + "Average Passengers": 0.9288151686796075 }, { "NTD ID": 80001, @@ -10296,7 +11132,8 @@ "All Fuels (Wh/pkm)": 245.97187848201764, "Unlinked Passenger Trips": 8403862, "Passenger Paid Fares": 3496454, - "Average Fare": 0.4160532383801638 + "Average Fare": 0.4160532383801638, + "Average Passengers": 14.945920697202121 }, { "NTD ID": 80001, @@ -10314,7 +11151,8 @@ "All Fuels (Wh/pkm)": 1465.8689713737178, "Unlinked Passenger Trips": 12187622, "Passenger Paid Fares": 4585886, - "Average Fare": 0.37627405904121414 + "Average Fare": 0.37627405904121414, + "Average Passengers": 2.8179981064023742 }, { "NTD ID": 80001, @@ -10326,7 +11164,8 @@ "All Fuels (Wh/pkm)": 214.02970045853783, "Unlinked Passenger Trips": 587721, "Passenger Paid Fares": 1899493, - "Average Fare": 3.231963805955547 + "Average Fare": 3.231963805955547, + "Average Passengers": 4.509634727481749 }, { "NTD ID": 80002, @@ -10340,7 +11179,8 @@ "All Fuels (Wh/pkm)": 2919.484835183774, "Unlinked Passenger Trips": 50726, "Passenger Paid Fares": 118033, - "Average Fare": 2.326873792532429 + "Average Fare": 2.326873792532429, + "Average Passengers": 1.1537184716964952 }, { "NTD ID": 80002, @@ -10352,7 +11192,8 @@ "All Fuels (Wh/pkm)": 1758.7578519018107, "Unlinked Passenger Trips": 389816, "Passenger Paid Fares": 267583, - "Average Fare": 0.686434112504361 + "Average Fare": 0.686434112504361, + "Average Passengers": 2.625002617864306 }, { "NTD ID": 80003, @@ -10364,7 +11205,8 @@ "All Fuels (Wh/pkm)": 3915.3583258058934, "Unlinked Passenger Trips": 52802, "Passenger Paid Fares": 118069, - "Average Fare": 2.2360706033862354 + "Average Fare": 2.2360706033862354, + "Average Passengers": 0.7461310598567039 }, { "NTD ID": 80003, @@ -10378,7 +11220,8 @@ "All Fuels (Wh/pkm)": 1568.9031950819779, "Unlinked Passenger Trips": 782239, "Passenger Paid Fares": 333102, - "Average Fare": 0.4258314913984089 + "Average Fare": 0.4258314913984089, + "Average Passengers": 3.3708130608053595 }, { "NTD ID": 80004, @@ -10390,7 +11233,8 @@ "All Fuels (Wh/pkm)": 1191.7544576381054, "Unlinked Passenger Trips": 23487, "Passenger Paid Fares": 45173, - "Average Fare": 1.9233192830076213 + "Average Fare": 1.9233192830076213, + "Average Passengers": 0.9848470816205858 }, { "NTD ID": 80004, @@ -10402,7 +11246,8 @@ "All Fuels (Wh/pkm)": 2973.4279061015186, "Unlinked Passenger Trips": 284306, "Passenger Paid Fares": 293043, - "Average Fare": 1.0307309729657481 + "Average Fare": 1.0307309729657481, + "Average Passengers": 1.721731729067321 }, { "NTD ID": 80005, @@ -10414,7 +11259,8 @@ "All Fuels (Wh/pkm)": 1782.2033888650967, "Unlinked Passenger Trips": 93415, "Passenger Paid Fares": 264069, - "Average Fare": 2.82683723170797 + "Average Fare": 2.82683723170797, + "Average Passengers": 1.2768622879009734 }, { "NTD ID": 80005, @@ -10426,7 +11272,8 @@ "All Fuels (Wh/pkm)": 1494.469450683328, "Unlinked Passenger Trips": 1827182, "Passenger Paid Fares": 1470693, - "Average Fare": 0.8048968302008229 + "Average Fare": 0.8048968302008229, + "Average Passengers": 3.295798251252094 }, { "NTD ID": 80005, @@ -10438,7 +11285,8 @@ "All Fuels (Wh/pkm)": 257.549155314274, "Unlinked Passenger Trips": 9463, "Passenger Paid Fares": 97317, - "Average Fare": 10.28394800803128 + "Average Fare": 10.28394800803128, + "Average Passengers": 3.3937076365068686 }, { "NTD ID": 80006, @@ -10450,7 +11298,8 @@ "All Fuels (Wh/pkm)": 56.39433042866268, "Unlinked Passenger Trips": 6585422, "Passenger Paid Fares": 14068661, - "Average Fare": 2.1363340117003893 + "Average Fare": 2.1363340117003893, + "Average Passengers": 36.1401224826843 }, { "NTD ID": 80006, @@ -10462,7 +11311,8 @@ "All Fuels (Wh/pkm)": 3967.9674985821307, "Unlinked Passenger Trips": 605016, "Passenger Paid Fares": 3638130, - "Average Fare": 6.013278987663136 + "Average Fare": 6.013278987663136, + "Average Passengers": 0.6662505512827125 }, { "NTD ID": 80006, @@ -10474,7 +11324,8 @@ "All Fuels (Wh/pkm)": 212.81116406445014, "Unlinked Passenger Trips": 10016239, "Passenger Paid Fares": 10118301, - "Average Fare": 1.0101896530224568 + "Average Fare": 1.0101896530224568, + "Average Passengers": 16.89952990092522 }, { "NTD ID": 80006, @@ -10488,7 +11339,8 @@ "All Fuels (Wh/pkm)": 992.5616240403725, "Unlinked Passenger Trips": 31570486, "Passenger Paid Fares": 24030706, - "Average Fare": 0.7611763087840966 + "Average Fare": 0.7611763087840966, + "Average Passengers": 4.921186589477637 }, { "NTD ID": 80007, @@ -10500,7 +11352,8 @@ "All Fuels (Wh/pkm)": 3960.1088617196756, "Unlinked Passenger Trips": 35200, "Passenger Paid Fares": 23211, - "Average Fare": 0.6594034090909091 + "Average Fare": 0.6594034090909091, + "Average Passengers": 0.6027574778227628 }, { "NTD ID": 80007, @@ -10512,7 +11365,8 @@ "All Fuels (Wh/pkm)": 1860.0897747237766, "Unlinked Passenger Trips": 434708, "Passenger Paid Fares": 95622, - "Average Fare": 0.2199683465682711 + "Average Fare": 0.2199683465682711, + "Average Passengers": 3.158602473061032 }, { "NTD ID": 80008, @@ -10524,7 +11378,8 @@ "All Fuels (Wh/pkm)": 2645.0890808537474, "Unlinked Passenger Trips": 51286, "Passenger Paid Fares": 146787, - "Average Fare": 2.862126116289046 + "Average Fare": 2.862126116289046, + "Average Passengers": 0.6975022767392778 }, { "NTD ID": 80008, @@ -10538,7 +11393,8 @@ "All Fuels (Wh/pkm)": 1260.0973839207854, "Unlinked Passenger Trips": 174762, "Passenger Paid Fares": 138199, - "Average Fare": 0.7907840377198705 + "Average Fare": 0.7907840377198705, + "Average Passengers": 2.9763232181522805 }, { "NTD ID": 80009, @@ -10548,7 +11404,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2139.992548930671, "All Fuels (Wh/pkm)": 3515.543215169635, - "Unlinked Passenger Trips": 30470 + "Unlinked Passenger Trips": 30470, + "Average Passengers": 0.553876181565958 }, { "NTD ID": 80009, @@ -10560,7 +11417,8 @@ "Diesel (Wh/pkm)": 1619.5201963338416, "Electric (Wh/pkm)": 387.59318429155, "All Fuels (Wh/pkm)": 1422.8534754891468, - "Unlinked Passenger Trips": 767771 + "Unlinked Passenger Trips": 767771, + "Average Passengers": 3.067327520606909 }, { "NTD ID": 80011, @@ -10572,7 +11430,8 @@ "All Fuels (Wh/pkm)": 128.61783771477607, "Unlinked Passenger Trips": 28948, "Passenger Paid Fares": 17471, - "Average Fare": 0.6035304684261434 + "Average Fare": 0.6035304684261434, + "Average Passengers": 7.534188420196911 }, { "NTD ID": 80011, @@ -10587,7 +11446,8 @@ "All Fuels (Wh/pkm)": 425.9140389374022, "Unlinked Passenger Trips": 1000960, "Passenger Paid Fares": 7929, - "Average Fare": 0.007921395460358057 + "Average Fare": 0.007921395460358057, + "Average Passengers": 3.263465490176336 }, { "NTD ID": 80011, @@ -10599,7 +11459,8 @@ "All Fuels (Wh/pkm)": 985.6483502257537, "Unlinked Passenger Trips": 437037, "Passenger Paid Fares": 1824, - "Average Fare": 0.004173559675725396 + "Average Fare": 0.004173559675725396, + "Average Passengers": 5.86180596408952 }, { "NTD ID": 80012, @@ -10611,7 +11472,8 @@ "All Fuels (Wh/pkm)": 2659.1291656602607, "Unlinked Passenger Trips": 34557, "Passenger Paid Fares": 67526, - "Average Fare": 1.954046936944758 + "Average Fare": 1.954046936944758, + "Average Passengers": 0.5388228175803684 }, { "NTD ID": 80012, @@ -10623,7 +11485,8 @@ "All Fuels (Wh/pkm)": 3163.202279700079, "Unlinked Passenger Trips": 235325, "Passenger Paid Fares": 142028, - "Average Fare": 0.6035397854031659 + "Average Fare": 0.6035397854031659, + "Average Passengers": 1.483686774104689 }, { "NTD ID": 80025, @@ -10633,7 +11496,8 @@ "Gasoline (Wh/pkm)": 3369.950449723907, "Unlinked Passenger Trips": 72999, "Passenger Paid Fares": 27551, - "Average Fare": 0.3774161289880683 + "Average Fare": 0.3774161289880683, + "Average Passengers": 1.2200988653752582 }, { "NTD ID": 80028, @@ -10643,7 +11507,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 4724.366193706332, "All Fuels (Wh/pkm)": 4724.366193706332, - "Unlinked Passenger Trips": 18100 + "Unlinked Passenger Trips": 18100, + "Average Passengers": 0.7197430603349393 }, { "NTD ID": 80028, @@ -10653,7 +11518,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 2167.8583715529553, "All Fuels (Wh/pkm)": 2167.8583715529553, - "Unlinked Passenger Trips": 717293 + "Unlinked Passenger Trips": 717293, + "Average Passengers": 2.0673232962303674 }, { "NTD ID": 80106, @@ -10665,7 +11531,8 @@ "All Fuels (Wh/pkm)": 628.0857722691561, "Unlinked Passenger Trips": 10508, "Passenger Paid Fares": 70703, - "Average Fare": 6.728492577084126 + "Average Fare": 6.728492577084126, + "Average Passengers": 1.3805122109878813 }, { "NTD ID": 80107, @@ -10675,7 +11542,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 1641.035294478154, "All Fuels (Wh/pkm)": 3742.6257294906286, - "Unlinked Passenger Trips": 35034 + "Unlinked Passenger Trips": 35034, + "Average Passengers": 0.9877510302871719 }, { "NTD ID": 80109, @@ -10687,7 +11555,8 @@ "All Fuels (Wh/pkm)": 300.534523538285, "Unlinked Passenger Trips": 73722, "Passenger Paid Fares": 349547, - "Average Fare": 4.741420471501044 + "Average Fare": 4.741420471501044, + "Average Passengers": 3.4790741787906145 }, { "NTD ID": 80285, @@ -10703,7 +11572,8 @@ "All Fuels (Wh/pkm)": 2728.7102151479057, "Unlinked Passenger Trips": 109412, "Passenger Paid Fares": 2161, - "Average Fare": 0.019751032793477865 + "Average Fare": 0.019751032793477865, + "Average Passengers": 0.817805827689022 }, { "NTD ID": 90001, @@ -10715,7 +11585,8 @@ "All Fuels (Wh/pkm)": 338.9741769722679, "Unlinked Passenger Trips": 17052, "Passenger Paid Fares": 39467, - "Average Fare": 2.314508562045508 + "Average Fare": 2.314508562045508, + "Average Passengers": 3.868241989360386 }, { "NTD ID": 90001, @@ -10729,7 +11600,8 @@ "All Fuels (Wh/pkm)": 1567.21544008654, "Unlinked Passenger Trips": 121468, "Passenger Paid Fares": 282009, - "Average Fare": 2.321673197879277 + "Average Fare": 2.321673197879277, + "Average Passengers": 0.6870864540214072 }, { "NTD ID": 90001, @@ -10743,7 +11615,8 @@ "All Fuels (Wh/pkm)": 802.2645080145048, "Unlinked Passenger Trips": 5167682, "Passenger Paid Fares": 2969761, - "Average Fare": 0.5746795178186274 + "Average Fare": 0.5746795178186274, + "Average Passengers": 7.227495959647452 }, { "NTD ID": 90001, @@ -10755,7 +11628,8 @@ "All Fuels (Wh/pkm)": 242.25849916403158, "Unlinked Passenger Trips": 507148, "Passenger Paid Fares": 2422637, - "Average Fare": 4.7769822615883335 + "Average Fare": 4.7769822615883335, + "Average Passengers": 4.965657847495794 }, { "NTD ID": 90002, @@ -10767,7 +11641,8 @@ "All Fuels (Wh/pkm)": 3677.4080682011, "Unlinked Passenger Trips": 726716, "Passenger Paid Fares": 1203901, - "Average Fare": 1.656632026816528 + "Average Fare": 1.656632026816528, + "Average Passengers": 0.8973705990871506 }, { "NTD ID": 90002, @@ -10781,7 +11656,8 @@ "All Fuels (Wh/pkm)": 869.9132825731793, "Unlinked Passenger Trips": 27814569, "Passenger Paid Fares": 25110510, - "Average Fare": 0.9027826388393795 + "Average Fare": 0.9027826388393795, + "Average Passengers": 6.0750907979691755 }, { "NTD ID": 90002, @@ -10793,7 +11669,8 @@ "All Fuels (Wh/pkm)": 218.17846658652206, "Unlinked Passenger Trips": 173290, "Passenger Paid Fares": 599659, - "Average Fare": 3.4604362629118817 + "Average Fare": 3.4604362629118817, + "Average Passengers": 5.746619312415164 }, { "NTD ID": 90003, @@ -10805,7 +11682,8 @@ "All Fuels (Wh/pkm)": 58.70514934868414, "Unlinked Passenger Trips": 17125273, "Passenger Paid Fares": 59980709, - "Average Fare": 3.502467318331217 + "Average Fare": 3.502467318331217, + "Average Passengers": 42.85888464310882 }, { "NTD ID": 90003, @@ -10813,7 +11691,8 @@ "UACE Code": "78904", "Unlinked Passenger Trips": 112981, "Passenger Paid Fares": 652596, - "Average Fare": 5.776157052955806 + "Average Fare": 5.776157052955806, + "Average Passengers": 1.6671616304105723 }, { "NTD ID": 90003, @@ -10825,7 +11704,8 @@ "All Fuels (Wh/pkm)": 279.14356528051667, "Unlinked Passenger Trips": 601424, "Passenger Paid Fares": 1734214, - "Average Fare": 2.8835131288408844 + "Average Fare": 2.8835131288408844, + "Average Passengers": 15.854497283287897 }, { "NTD ID": 90004, @@ -10839,7 +11719,8 @@ "All Fuels (Wh/pkm)": 2806.043034353839, "Unlinked Passenger Trips": 78556, "Passenger Paid Fares": 195759, - "Average Fare": 2.4919675136208563 + "Average Fare": 2.4919675136208563, + "Average Passengers": 0.5175224290151635 }, { "NTD ID": 90004, @@ -10851,7 +11732,8 @@ "All Fuels (Wh/pkm)": 667.4327834931138, "Unlinked Passenger Trips": 2783880, "Passenger Paid Fares": 1772026, - "Average Fare": 0.6365310286362917 + "Average Fare": 0.6365310286362917, + "Average Passengers": 3.0881111452950627 }, { "NTD ID": 90006, @@ -10865,7 +11747,8 @@ "All Fuels (Wh/pkm)": 667.7361964605244, "Unlinked Passenger Trips": 46081, "Passenger Paid Fares": 204022, - "Average Fare": 4.427464681756038 + "Average Fare": 4.427464681756038, + "Average Passengers": 4.189755204432238 }, { "NTD ID": 90006, @@ -10877,7 +11760,8 @@ "All Fuels (Wh/pkm)": 3188.566820699294, "Unlinked Passenger Trips": 38974, "Passenger Paid Fares": 114807, - "Average Fare": 2.945733052804434 + "Average Fare": 2.945733052804434, + "Average Passengers": 0.7608389933553593 }, { "NTD ID": 90006, @@ -10893,7 +11777,8 @@ "All Fuels (Wh/pkm)": 1139.3076977474868, "Unlinked Passenger Trips": 861059, "Passenger Paid Fares": 864835, - "Average Fare": 1.0043852976393024 + "Average Fare": 1.0043852976393024, + "Average Passengers": 1.8702419222572515 }, { "NTD ID": 90007, @@ -10907,7 +11792,8 @@ "All Fuels (Wh/pkm)": 4424.971517907852, "Unlinked Passenger Trips": 51568, "Passenger Paid Fares": 152479, - "Average Fare": 2.9568530871858516 + "Average Fare": 2.9568530871858516, + "Average Passengers": 0.6911449530673868 }, { "NTD ID": 90007, @@ -10923,7 +11809,8 @@ "All Fuels (Wh/pkm)": 2437.804314392638, "Unlinked Passenger Trips": 1108987, "Passenger Paid Fares": 831447, - "Average Fare": 0.7497355694881905 + "Average Fare": 0.7497355694881905, + "Average Passengers": 2.083766814694906 }, { "NTD ID": 90008, @@ -10936,7 +11823,8 @@ "All Fuels (Wh/pkm)": 300.8146660336532, "Unlinked Passenger Trips": 13288, "Passenger Paid Fares": 7572, - "Average Fare": 0.569837447320891 + "Average Fare": 0.569837447320891, + "Average Passengers": 3.1917004961659896 }, { "NTD ID": 90008, @@ -10950,7 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Fare": 0.007101317243885797, + "Average Passengers": 4.853742727485824 }, { "NTD ID": 90012, @@ -11004,7 +11896,8 @@ "All Fuels (Wh/pkm)": 1028.717734699465, "Unlinked Passenger Trips": 32625, "Passenger Paid Fares": 173040, - "Average Fare": 5.303908045977011 + "Average Fare": 5.303908045977011, + "Average Passengers": 3.926957244391094 }, { "NTD ID": 90012, @@ -11018,7 +11911,8 @@ "All Fuels (Wh/pkm)": 2173.252124133953, "Unlinked Passenger Trips": 40139, "Passenger Paid Fares": 178674, - "Average Fare": 4.451381449463116 + "Average Fare": 4.451381449463116, + "Average Passengers": 0.9138280816661474 }, { "NTD ID": 90012, @@ -11034,7 +11928,8 @@ "All Fuels (Wh/pkm)": 1192.2738134362864, "Unlinked Passenger Trips": 1330163, "Passenger Paid Fares": 755110, - "Average Fare": 0.5676823066045289 + "Average Fare": 0.5676823066045289, + "Average Passengers": 2.759104996162126 }, { "NTD ID": 90013, @@ -11046,7 +11941,8 @@ "All Fuels (Wh/pkm)": 5093.225630523434, "Unlinked Passenger Trips": 173267, "Passenger Paid Fares": 470389, - "Average Fare": 2.714821633663652 + "Average Fare": 2.714821633663652, + "Average Passengers": 0.4692832089542233 }, { "NTD ID": 90013, @@ -11058,7 +11954,8 @@ "All Fuels (Wh/pkm)": 455.13824212162143, "Unlinked Passenger Trips": 2168096, "Passenger Paid Fares": 2386194, - "Average Fare": 1.1005942541289684 + "Average Fare": 1.1005942541289684, + "Average Passengers": 9.17318245746275 }, { "NTD ID": 90013, @@ -11073,7 +11970,8 @@ "All Fuels (Wh/pkm)": 1320.8843921796758, "Unlinked Passenger Trips": 9714333, "Passenger Paid Fares": 10688841, - "Average Fare": 1.100316511694627 + "Average Fare": 1.100316511694627, + "Average Passengers": 3.455629045733621 }, { "NTD ID": 90014, @@ -11085,7 +11983,8 @@ "All Fuels (Wh/pkm)": 512.3424411617999, "Unlinked Passenger Trips": 67751, "Passenger Paid Fares": 302040, - "Average Fare": 4.458089179495506 + "Average Fare": 4.458089179495506, + "Average Passengers": 2.522830149134292 }, { "NTD ID": 90014, @@ -11097,7 +11996,8 @@ "All Fuels (Wh/pkm)": 5321.5788276454205, "Unlinked Passenger Trips": 199825, "Passenger Paid Fares": 519371, - "Average Fare": 2.599129238083323 + "Average Fare": 2.599129238083323, + "Average Passengers": 0.5370237424884025 }, { "NTD ID": 90014, @@ -11111,7 +12011,8 @@ "All Fuels (Wh/pkm)": 1280.2561433648746, "Unlinked Passenger Trips": 18888036, "Passenger Paid Fares": 22583009, - "Average Fare": 1.1956250506934654 + "Average Fare": 1.1956250506934654, + "Average Passengers": 4.4004722499314886 }, { "NTD ID": 90014, @@ -11123,7 +12024,8 @@ "All Fuels (Wh/pkm)": 596.8267712181245, "Unlinked Passenger Trips": 2379425, "Passenger Paid Fares": 1052086, - "Average Fare": 0.44215976548956154 + "Average Fare": 0.44215976548956154, + "Average Passengers": 10.55101580624878 }, { "NTD ID": 90015, @@ -11135,7 +12037,8 @@ "All Fuels (Wh/pkm)": 4595.362576314375, "Unlinked Passenger Trips": 114939, "Passenger Paid Fares": 274409, - "Average Fare": 2.38743159414994 + "Average Fare": 2.38743159414994, + "Average Passengers": 0.8108456947729514 }, { "NTD ID": 90015, @@ -11143,7 +12046,8 @@ "UACE Code": "78904", "Unlinked Passenger Trips": 3595952, "Passenger Paid Fares": 893808, - "Average Fare": 0.24855949133915026 + "Average Fare": 0.24855949133915026, + "Average Passengers": 5.708441736272764 }, { "NTD ID": 90015, @@ -11155,7 +12059,8 @@ "All Fuels (Wh/pkm)": 941.740163110512, "Unlinked Passenger Trips": 40938405, "Passenger Paid Fares": 12835314, - "Average Fare": 0.3135274566754616 + "Average Fare": 0.3135274566754616, + "Average Passengers": 6.086617211328414 }, { "NTD ID": 90015, @@ -11167,7 +12072,8 @@ "All Fuels (Wh/pkm)": 379.33085464177424, "Unlinked Passenger Trips": 17107393, "Passenger Paid Fares": 3829011, - "Average Fare": 0.22382200490746895 + "Average Fare": 0.22382200490746895, + "Average Passengers": 7.134674527173948 }, { "NTD ID": 90016, @@ -11175,7 +12081,8 @@ "UACE Code": "78904", "Unlinked Passenger Trips": 10520, "Passenger Paid Fares": 59645, - "Average Fare": 5.66967680608365 + "Average Fare": 5.66967680608365, + "Average Passengers": 0.7345820301807233 }, { "NTD ID": 90016, @@ -11187,7 +12094,8 @@ "All Fuels (Wh/pkm)": 13988.877209554134, "Unlinked Passenger Trips": 89861, "Passenger Paid Fares": 848332, - "Average Fare": 9.440491425646275 + "Average Fare": 9.440491425646275, + "Average Passengers": 16.63908754623921 }, { "NTD ID": 90016, @@ -11199,7 +12107,8 @@ "All Fuels (Wh/pkm)": 1292.8154936198623, "Unlinked Passenger Trips": 651531, "Passenger Paid Fares": 3979865, - "Average Fare": 6.108481407638316 + "Average Fare": 6.108481407638316, + "Average Passengers": 4.337287293547802 }, { "NTD ID": 90017, @@ -11211,7 +12120,8 @@ "All Fuels (Wh/pkm)": 6082.266114541633, "Unlinked Passenger Trips": 17513, "Passenger Paid Fares": 23625, - "Average Fare": 1.348997887283732 + "Average Fare": 1.348997887283732, + "Average Passengers": 0.5325010105324172 }, { "NTD ID": 90017, @@ -11225,7 +12135,8 @@ "All Fuels (Wh/pkm)": 1550.3164305988025, "Unlinked Passenger Trips": 771112, "Passenger Paid Fares": 211016, - "Average Fare": 0.2736515577503657 + "Average Fare": 0.2736515577503657, + "Average Passengers": 3.294149301597788 }, { "NTD ID": 90019, @@ -11237,7 +12148,8 @@ "Electric (Wh/pkm)": 489.5896626018393, "Unlinked Passenger Trips": 305377, "Passenger Paid Fares": 992878, - "Average Fare": 3.2513188616038535 + "Average Fare": 3.2513188616038535, + "Average Passengers": 0.6619222832013457 }, { "NTD ID": 90019, @@ -11249,7 +12161,8 @@ "All Fuels (Wh/pkm)": 384.4369691312532, "Unlinked Passenger Trips": 3841437, "Passenger Paid Fares": 2810121, - "Average Fare": 0.7315285920346996 + "Average Fare": 0.7315285920346996, + "Average Passengers": 12.130344222458513 }, { "NTD ID": 90019, @@ -11265,7 +12178,8 @@ "All Fuels (Wh/pkm)": 1043.3147998006345, "Unlinked Passenger Trips": 3928709, "Passenger Paid Fares": 2781467, - "Average Fare": 0.707984989471096 + "Average Fare": 0.707984989471096, + "Average Passengers": 1.9439148397405694 }, { "NTD ID": 90020, @@ -11279,7 +12193,8 @@ "All Fuels (Wh/pkm)": 1196.1722343472325, "Unlinked Passenger Trips": 2378589, "Passenger Paid Fares": 399591, - "Average Fare": 0.16799497517225548 + "Average Fare": 0.16799497517225548, + "Average Passengers": 4.060254315479106 }, { "NTD ID": 90022, @@ -11291,7 +12206,8 @@ "All Fuels (Wh/pkm)": 5197.621934398524, "Unlinked Passenger Trips": 4941, "Passenger Paid Fares": 3403, - "Average Fare": 0.6887269783444647 + "Average Fare": 0.6887269783444647, + "Average Passengers": 0.4239632938232125 }, { "NTD ID": 90022, @@ -11305,7 +12221,8 @@ "All Fuels (Wh/pkm)": 932.2920684097022, "Unlinked Passenger Trips": 695951, "Passenger Paid Fares": 2109, - "Average Fare": 0.0030303857599170056 + "Average Fare": 0.0030303857599170056, + "Average Passengers": 2.6905864254326244 }, { "NTD ID": 90023, @@ -11319,7 +12236,8 @@ "All Fuels (Wh/pkm)": 1074.3519341350175, "Unlinked Passenger Trips": 14342, "Passenger Paid Fares": 23888, - "Average Fare": 1.66559754567006 + "Average Fare": 1.66559754567006, + "Average Passengers": 0.3748091699365372 }, { "NTD ID": 90023, @@ -11335,7 +12253,8 @@ "All Fuels (Wh/pkm)": 420.64372402945133, "Unlinked Passenger Trips": 14099010, "Passenger Paid Fares": 54110, - "Average Fare": 0.003837858119116165 + "Average Fare": 0.003837858119116165, + "Average Passengers": 8.24288860492466 }, { "NTD ID": 90024, @@ -11349,7 +12268,8 @@ "All Fuels (Wh/pkm)": 4659.466414059021, "Unlinked Passenger Trips": 11555, "Passenger Paid Fares": 7417, - "Average Fare": 0.6418866291648637 + "Average Fare": 0.6418866291648637, + "Average Passengers": 0.7129734424762456 }, { "NTD ID": 90026, @@ -11361,7 +12281,8 @@ "All Fuels (Wh/pkm)": 2204.0067797771426, "Unlinked Passenger Trips": 34017, "Passenger Paid Fares": 176240, - "Average Fare": 5.180938942293559 + "Average Fare": 5.180938942293559, + "Average Passengers": 2.302356822024668 }, { "NTD ID": 90026, @@ -11374,7 +12295,8 @@ "All Fuels (Wh/pkm)": 1570.8033082678294, "Unlinked Passenger Trips": 107193, "Passenger Paid Fares": 364682, - "Average Fare": 3.4021064808336363 + "Average Fare": 3.4021064808336363, + "Average Passengers": 0.6661837616255475 }, { "NTD ID": 90026, @@ -11386,7 +12308,8 @@ "All Fuels (Wh/pkm)": 91.57229923366796, "Unlinked Passenger Trips": 19516337, "Passenger Paid Fares": 17903882, - "Average Fare": 0.9173792192664023 + "Average Fare": 0.9173792192664023, + "Average Passengers": 36.0918034369287 }, { "NTD ID": 90026, @@ -11402,7 +12325,8 @@ "All Fuels (Wh/pkm)": 568.6849815060634, "Unlinked Passenger Trips": 19557301, "Passenger Paid Fares": 21083317, - "Average Fare": 1.0780279446535082 + "Average Fare": 1.0780279446535082, + "Average Passengers": 3.6703832199553097 }, { "NTD ID": 90027, @@ -11416,7 +12340,8 @@ "All Fuels (Wh/pkm)": 3939.2343081425083, "Unlinked Passenger Trips": 96478, "Passenger Paid Fares": 117714, - "Average Fare": 1.2201123572213355 + "Average Fare": 1.2201123572213355, + "Average Passengers": 0.7174638443947792 }, { "NTD ID": 90027, @@ -11428,7 +12353,8 @@ "All Fuels (Wh/pkm)": 534.1711760082324, "Unlinked Passenger Trips": 5604778, "Passenger Paid Fares": 1495085, - "Average Fare": 0.26675186778138227 + "Average Fare": 0.26675186778138227, + "Average Passengers": 3.2196522106929724 }, { "NTD ID": 90029, @@ -11440,7 +12366,8 @@ "All Fuels (Wh/pkm)": 1355.5816391130104, "Unlinked Passenger Trips": 66110, "Passenger Paid Fares": 274720, - "Average Fare": 4.155498411738012 + "Average Fare": 4.155498411738012, + "Average Passengers": 0.6538049970387175 }, { "NTD ID": 90029, @@ -11452,7 +12379,8 @@ "All Fuels (Wh/pkm)": 471.82635805182326, "Unlinked Passenger Trips": 3958184, "Passenger Paid Fares": 4927756, - "Average Fare": 1.244953746465551 + "Average Fare": 1.244953746465551, + "Average Passengers": 3.3794470276006217 }, { "NTD ID": 90030, @@ -11464,7 +12392,8 @@ "All Fuels (Wh/pkm)": 3628.120859125891, "Unlinked Passenger Trips": 162707, "Passenger Paid Fares": 907137, - "Average Fare": 5.575279490126424 + "Average Fare": 5.575279490126424, + "Average Passengers": 27.635632575197988 }, { "NTD ID": 90030, @@ -11476,7 +12405,8 @@ "All Fuels (Wh/pkm)": 3722.0124144379847, "Unlinked Passenger Trips": 57444, "Passenger Paid Fares": 107221, - "Average Fare": 1.8665308822505398 + "Average Fare": 1.8665308822505398, + "Average Passengers": 0.93644821155144 }, { "NTD ID": 90030, @@ -11492,7 +12422,8 @@ "All Fuels (Wh/pkm)": 809.4856329446108, "Unlinked Passenger Trips": 3012173, "Passenger Paid Fares": 2547287, - "Average Fare": 0.8456642430564247 + "Average Fare": 0.8456642430564247, + "Average Passengers": 2.1647207716784327 }, { "NTD ID": 90030, @@ -11504,7 +12435,8 @@ "All Fuels (Wh/pkm)": 761.1130846585377, "Unlinked Passenger Trips": 1225435, "Passenger Paid Fares": 1439586, - "Average Fare": 1.174755086969117 + "Average Fare": 1.174755086969117, + "Average Passengers": 17.186581325909277 }, { "NTD ID": 90031, @@ -11516,7 +12448,8 @@ "All Fuels (Wh/pkm)": 480.7654080262697, "Unlinked Passenger Trips": 97375, "Passenger Paid Fares": 151418, - "Average Fare": 1.5549987163029526 + "Average Fare": 1.5549987163029526, + "Average Passengers": 1.9441817521134097 }, { "NTD ID": 90031, @@ -11528,7 +12461,8 @@ "All Fuels (Wh/pkm)": 3644.4615740329828, "Unlinked Passenger Trips": 95627, "Passenger Paid Fares": 293875, - "Average Fare": 3.073138339590283 + "Average Fare": 3.073138339590283, + "Average Passengers": 0.7322996825055159 }, { "NTD ID": 90031, @@ -11540,7 +12474,8 @@ "All Fuels (Wh/pkm)": 433.0269404161349, "Unlinked Passenger Trips": 2822432, "Passenger Paid Fares": 2427209, - "Average Fare": 0.8599707628031428 + "Average Fare": 0.8599707628031428, + "Average Passengers": 2.7591538312659813 }, { "NTD ID": 90032, @@ -11552,7 +12487,8 @@ "All Fuels (Wh/pkm)": 5284.436410239326, "Unlinked Passenger Trips": 273545, "Passenger Paid Fares": 16384, - "Average Fare": 0.0598950812480579 + "Average Fare": 0.0598950812480579, + "Average Passengers": 0.6421432926385656 }, { "NTD ID": 90032, @@ -11568,7 +12504,8 @@ "All Fuels (Wh/pkm)": 593.2789944994959, "Unlinked Passenger Trips": 38414123, "Passenger Paid Fares": 1195908, - "Average Fare": 0.031131987576548344 + "Average Fare": 0.031131987576548344, + "Average Passengers": 5.512515675407064 }, { "NTD ID": 90033, @@ -11580,7 +12517,8 @@ "All Fuels (Wh/pkm)": 4348.824183423451, "Unlinked Passenger Trips": 291209, "Passenger Paid Fares": 13386, - "Average Fare": 0.04596698591046293 + "Average Fare": 0.04596698591046293, + "Average Passengers": 0.8218129931637542 }, { "NTD ID": 90033, @@ -11594,7 +12532,8 @@ "All Fuels (Wh/pkm)": 170.46140591766695, "Unlinked Passenger Trips": 10894760, "Passenger Paid Fares": 334513, - "Average Fare": 0.030704026522842175 + "Average Fare": 0.030704026522842175, + "Average Passengers": 5.193692155534841 }, { "NTD ID": 90033, @@ -11604,7 +12543,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 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0.6144785369017579 }, { "NTD ID": 90035, @@ -11655,7 +12598,8 @@ "All Fuels (Wh/pkm)": 579.4481135712724, "Unlinked Passenger Trips": 1894011, "Passenger Paid Fares": 274019, - "Average Fare": 0.14467656206854132 + "Average Fare": 0.14467656206854132, + "Average Passengers": 3.107067150916119 }, { "NTD ID": 90036, @@ -11667,7 +12611,8 @@ "All Fuels (Wh/pkm)": 3944.0524969047297, "Unlinked Passenger Trips": 485746, "Passenger Paid Fares": 1805749, - "Average Fare": 3.717475800109522 + "Average Fare": 3.717475800109522, + "Average Passengers": 0.7936688403101761 }, { "NTD ID": 90036, @@ -11679,7 +12624,8 @@ "All Fuels (Wh/pkm)": 598.7025389434059, "Unlinked Passenger Trips": 19880122, "Passenger Paid Fares": 12582568, - "Average Fare": 0.6329220716049931 + "Average Fare": 0.6329220716049931, + "Average Passengers": 5.330764868965211 }, { "NTD ID": 90036, @@ -11691,7 +12637,8 @@ "All Fuels (Wh/pkm)": 312.86543432689257, "Unlinked Passenger Trips": 241501, "Passenger Paid Fares": 1562062, - "Average Fare": 6.468138848286342 + "Average Fare": 6.468138848286342, + "Average Passengers": 3.9492486245361085 }, { "NTD ID": 90039, @@ -11703,7 +12650,8 @@ "All Fuels (Wh/pkm)": 3803.8255653531164, "Unlinked Passenger Trips": 1785, "Passenger Paid Fares": 1473, - "Average Fare": 0.8252100840336134 + "Average Fare": 0.8252100840336134, + "Average Passengers": 0.483974358974359 }, { "NTD ID": 90039, @@ -11715,7 +12663,8 @@ "All Fuels (Wh/pkm)": 478.41174305470986, "Unlinked Passenger Trips": 1692993, "Passenger Paid Fares": 775096, - "Average Fare": 0.457825874058546 + "Average Fare": 0.457825874058546, + "Average Passengers": 4.886876564386825 }, { "NTD ID": 90041, @@ -11731,7 +12680,8 @@ "All Fuels (Wh/pkm)": 1207.896268322833, "Unlinked Passenger Trips": 1928883, "Passenger Paid Fares": 1313186, - "Average Fare": 0.6808012720315333 + "Average Fare": 0.6808012720315333, + "Average Passengers": 3.6818662849867616 }, { "NTD ID": 90042, @@ -11741,7 +12691,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 4935.970254417679, "All Fuels (Wh/pkm)": 4935.970254417679, - "Unlinked Passenger Trips": 5968 + "Unlinked Passenger Trips": 5968, + "Average Passengers": 0.5423609893001228 }, { "NTD ID": 90042, @@ -11755,7 +12706,8 @@ "CNG (Wh/pkm)": 441.84643293581587, "Electric (Wh/pkm)": 327.99228517207655, "All Fuels (Wh/pkm)": 1376.4139741948836, - "Unlinked Passenger Trips": 1197912 + "Unlinked Passenger Trips": 1197912, + "Average Passengers": 4.086787615049085 }, { "NTD ID": 90043, @@ -11765,7 +12717,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 1448.0581723998437, "All Fuels (Wh/pkm)": 1448.0581723998437, - "Unlinked Passenger Trips": 5917 + "Unlinked Passenger Trips": 5917, + "Average Passengers": 0.5665285451197054 }, { "NTD ID": 90043, @@ -11775,7 +12728,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 1817.9453649077436, "All Fuels (Wh/pkm)": 1817.9453649077436, - "Unlinked Passenger Trips": 108555 + "Unlinked Passenger Trips": 108555, + "Average Passengers": 1.6719193217887418 }, { "NTD ID": 90045, @@ -11787,7 +12741,8 @@ "All Fuels (Wh/pkm)": 981.952378307974, "Unlinked Passenger Trips": 915073, "Passenger Paid Fares": 2072932, - "Average Fare": 2.2653187232056897 + "Average Fare": 2.2653187232056897, + "Average Passengers": 0.860446714130837 }, { "NTD ID": 90045, @@ -11801,7 +12756,8 @@ "All Fuels (Wh/pkm)": 295.98661618634657, "Unlinked Passenger Trips": 33427338, "Passenger Paid Fares": 35892335, - "Average Fare": 1.0737419473845031 + "Average Fare": 1.0737419473845031, + "Average Passengers": 7.678802489942615 }, { "NTD ID": 90061, @@ -11813,7 +12769,8 @@ "All Fuels (Wh/pkm)": 1602.7271037664761, "Unlinked Passenger Trips": 20003, "Passenger Paid Fares": 64341, - "Average Fare": 3.2165675148727693 + "Average Fare": 3.2165675148727693, + "Average Passengers": 2.073757712772272 }, { "NTD ID": 90061, @@ -11823,7 +12780,8 @@ "Diesel (Wh/pkm)": 6367.668942454718, "Unlinked Passenger Trips": 20370, "Passenger Paid Fares": 66244, - "Average Fare": 3.2520373097692685 + "Average Fare": 3.2520373097692685, + "Average Passengers": 0.582710090909535 }, { "NTD ID": 90061, @@ -11835,7 +12793,8 @@ "All Fuels (Wh/pkm)": 2934.3472972452287, "Unlinked Passenger Trips": 307518, "Passenger Paid Fares": 210905, - "Average Fare": 0.6858297725661587 + "Average Fare": 0.6858297725661587, + "Average Passengers": 1.6265526857619432 }, { "NTD ID": 90062, @@ -11847,7 +12806,8 @@ "All Fuels (Wh/pkm)": 3346.9829683175676, "Unlinked Passenger Trips": 107719, "Passenger Paid Fares": 110983, - "Average Fare": 1.030301061094143 + "Average Fare": 1.030301061094143, + "Average Passengers": 0.7862268787467901 }, { "NTD ID": 90062, @@ -11863,7 +12823,8 @@ "All Fuels (Wh/pkm)": 1526.6110320799694, "Unlinked Passenger Trips": 1254444, "Passenger Paid Fares": 1477585, - "Average Fare": 1.1778803996033302 + "Average Fare": 1.1778803996033302, + "Average Passengers": 2.579391358376671 }, { "NTD ID": 90078, @@ -11875,7 +12836,8 @@ "All Fuels (Wh/pkm)": 6651.929697876981, "Unlinked Passenger Trips": 35444, "Passenger Paid Fares": 69495, - "Average Fare": 1.9606985667531882 + "Average Fare": 1.9606985667531882, + "Average Passengers": 0.4617901170841803 }, { "NTD ID": 90078, @@ -11891,7 +12853,8 @@ "All Fuels (Wh/pkm)": 2454.7179825212534, "Unlinked Passenger Trips": 1135253, "Passenger Paid Fares": 1097454, - "Average Fare": 0.9667043381519361 + "Average Fare": 0.9667043381519361, + "Average Passengers": 1.865329881502536 }, { "NTD ID": 90079, @@ -11903,7 +12866,8 @@ "All Fuels (Wh/pkm)": 1512.0007125661534, "Unlinked Passenger Trips": 71129, "Passenger Paid Fares": 97250, - "Average Fare": 1.3672341801515557 + "Average Fare": 1.3672341801515557, + "Average Passengers": 0.6009050825082508 }, { "NTD ID": 90079, @@ -11917,7 +12881,8 @@ "All Fuels (Wh/pkm)": 672.6236324232951, "Unlinked Passenger Trips": 2000077, "Passenger Paid Fares": 234867, - "Average Fare": 0.11742897898430911 + "Average Fare": 0.11742897898430911, + "Average Passengers": 3.5533748030599046 }, { "NTD ID": 90079, @@ -11925,7 +12890,8 @@ "UACE Code": "41347", "Unlinked Passenger Trips": 16028, "Passenger Paid Fares": 120280, - "Average Fare": 7.504367357125031 + "Average Fare": 7.504367357125031, + "Average Passengers": 4.853593453820084 }, { "NTD ID": 90086, @@ -11939,7 +12905,8 @@ "All Fuels (Wh/pkm)": 1522.0608469640408, "Unlinked Passenger Trips": 26518, "Passenger Paid Fares": 65367, - "Average Fare": 2.4650049023304925 + "Average Fare": 2.4650049023304925, + "Average Passengers": 0.7047896815845733 }, { "NTD ID": 90087, @@ -11949,7 +12916,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2445.125704593146, "All Fuels (Wh/pkm)": 2445.125704593146, - "Unlinked Passenger Trips": 15061 + "Unlinked Passenger Trips": 15061, + "Average Passengers": 1.3815584329422692 }, { "NTD ID": 90087, @@ -11961,7 +12929,8 @@ "Gasoline (Wh/pkm)": 4136.5241128140615, "Diesel (Wh/pkm)": 4145.841710182143, "All Fuels (Wh/pkm)": 4145.055912095931, - "Unlinked Passenger Trips": 226453 + "Unlinked Passenger Trips": 226453, + "Average Passengers": 1.2146077075813109 }, { "NTD ID": 90088, @@ -11975,7 +12944,8 @@ "All Fuels (Wh/pkm)": 1514.8251755345657, "Unlinked Passenger Trips": 48977, "Passenger Paid Fares": 54166, - "Average Fare": 1.105947689731915 + "Average Fare": 1.105947689731915, + "Average Passengers": 1.7467994279600603 }, { "NTD ID": 90088, @@ -11991,7 +12961,8 @@ "All Fuels (Wh/pkm)": 4525.636366211562, "Unlinked Passenger Trips": 78711, "Passenger Paid Fares": 252984, - "Average Fare": 3.214086976407364 + "Average Fare": 3.214086976407364, + "Average Passengers": 0.5529082840396219 }, { "NTD ID": 90088, @@ -11999,7 +12970,8 @@ "UACE Code": "61057", "Unlinked Passenger Trips": 187105, "Passenger Paid Fares": 140971, - "Average Fare": 0.7534325646027632 + "Average Fare": 0.7534325646027632, + "Average Passengers": 3.318988156348108 }, { "NTD ID": 90089, @@ -12011,7 +12983,8 @@ "All Fuels (Wh/pkm)": 3455.486947165646, "Unlinked Passenger Trips": 23179, "Passenger Paid Fares": 16493, - "Average Fare": 0.7115492471633806 + "Average Fare": 0.7115492471633806, + "Average Passengers": 0.7257893125371467 }, { "NTD ID": 90089, @@ -12027,7 +13000,8 @@ "All Fuels (Wh/pkm)": 611.1162522240433, "Unlinked Passenger Trips": 345683, "Passenger Paid Fares": 156360, - "Average Fare": 0.4523219250006509 + "Average Fare": 0.4523219250006509, + "Average Passengers": 2.090786286735202 }, { "NTD ID": 90090, @@ -12041,7 +13015,8 @@ "All Fuels (Wh/pkm)": 4264.208954753229, "Unlinked Passenger Trips": 15147, "Passenger Paid Fares": 23080, - "Average Fare": 1.5237340727536806 + "Average Fare": 1.5237340727536806, + "Average Passengers": 0.5889469768979626 }, { "NTD ID": 90090, @@ -12057,7 +13032,8 @@ "All Fuels (Wh/pkm)": 727.3297686414902, "Unlinked Passenger Trips": 408140, "Passenger Paid Fares": 859673, - "Average Fare": 2.10631891017788 + "Average Fare": 2.10631891017788, + "Average Passengers": 2.6858359799013374 }, { "NTD ID": 90091, @@ -12069,7 +13045,8 @@ "All Fuels (Wh/pkm)": 518.1336346015037, "Unlinked Passenger Trips": 7929, "Passenger Paid Fares": 22745, - "Average Fare": 2.8685836801614326 + "Average Fare": 2.8685836801614326, + "Average Passengers": 1.7778352760564229 }, { "NTD ID": 90091, @@ -12081,7 +13058,8 @@ "All Fuels (Wh/pkm)": 1150.3576728595763, "Unlinked Passenger Trips": 15732, "Passenger Paid Fares": 10761, - "Average Fare": 0.6840198321891686 + "Average Fare": 0.6840198321891686, + "Average Passengers": 0.7820536785208031 }, { "NTD ID": 90091, @@ -12095,7 +13073,8 @@ "All Fuels (Wh/pkm)": 716.5634242349824, "Unlinked Passenger Trips": 563065, "Passenger Paid Fares": 477170, - "Average Fare": 0.8474510047685436 + "Average Fare": 0.8474510047685436, + "Average Passengers": 2.2418540762706707 }, { "NTD ID": 90092, @@ -12107,7 +13086,8 @@ "All Fuels (Wh/pkm)": 1739.917252671015, "Unlinked Passenger Trips": 85493, "Passenger Paid Fares": 324099, - "Average Fare": 3.790941948463617 + "Average Fare": 3.790941948463617, + "Average Passengers": 2.67681848991906 }, { "NTD ID": 90092, @@ -12119,7 +13099,8 @@ "All Fuels (Wh/pkm)": 3511.157095837041, "Unlinked Passenger Trips": 6333, "Passenger Paid Fares": 12138, - "Average Fare": 1.9166271909047845 + "Average Fare": 1.9166271909047845, + "Average Passengers": 1.0379675529517802 }, { "NTD ID": 90092, @@ -12127,7 +13108,8 @@ "UACE Code": "28657", "Unlinked Passenger Trips": 218615, "Passenger Paid Fares": 34915, - "Average Fare": 0.15970999245248496 + "Average Fare": 0.15970999245248496, + "Average Passengers": 1.0987483322800367 }, { "NTD ID": 90093, @@ -12139,7 +13121,8 @@ "All Fuels (Wh/pkm)": 4063.1948085977324, "Unlinked Passenger Trips": 15314, "Passenger Paid Fares": 54049, - "Average Fare": 3.5293848765835185 + "Average Fare": 3.5293848765835185, + "Average Passengers": 0.7545426380605685 }, { "NTD ID": 90093, @@ -12155,7 +13138,8 @@ "All Fuels (Wh/pkm)": 1612.5058408524671, "Unlinked Passenger Trips": 289313, "Passenger Paid Fares": 330887, - "Average Fare": 1.143699038757332 + "Average Fare": 1.143699038757332, + "Average Passengers": 2.2012839397099087 }, { "NTD ID": 90094, @@ -12167,7 +13151,8 @@ "All Fuels (Wh/pkm)": 291.9227376852224, "Unlinked Passenger Trips": 365827, "Passenger Paid Fares": 2717353, - "Average Fare": 7.4279727849502635 + "Average Fare": 7.4279727849502635, + "Average Passengers": 4.180115037440897 }, { "NTD ID": 90095, @@ -12181,7 +13166,8 @@ "All Fuels (Wh/pkm)": 216.18179866494708, "Unlinked Passenger Trips": 861877, "Passenger Paid Fares": 5700431, - "Average Fare": 6.613972759454075 + "Average Fare": 6.613972759454075, + "Average Passengers": 4.478376363571738 }, { "NTD ID": 90121, @@ -12193,7 +13179,8 @@ "All Fuels (Wh/pkm)": 1297.6697067293526, "Unlinked Passenger Trips": 76982, "Passenger Paid Fares": 505085, - "Average Fare": 6.561079213322595 + "Average Fare": 6.561079213322595, + "Average Passengers": 3.95994690399139 }, { "NTD ID": 90121, @@ -12205,7 +13192,8 @@ "All Fuels (Wh/pkm)": 2686.8377959383465, "Unlinked Passenger Trips": 42899, "Passenger Paid Fares": 52889, - "Average Fare": 1.232872561131961 + "Average Fare": 1.232872561131961, + "Average Passengers": 0.6655144153988399 }, { "NTD ID": 90121, @@ -12219,7 +13207,8 @@ "All Fuels (Wh/pkm)": 795.9387567767446, "Unlinked Passenger Trips": 837299, "Passenger Paid Fares": 836410, - "Average Fare": 0.9989382526433209 + "Average Fare": 0.9989382526433209, + "Average Passengers": 1.987744414619056 }, { "NTD ID": 90131, @@ -12227,7 +13216,8 @@ "UACE Code": "69184", "CNG (%)": 27.43606645624432, "CNG (Wh/pkm)": 4220.59365997757, - "Unlinked Passenger Trips": 186361 + "Unlinked Passenger Trips": 186361, + "Average Passengers": 0.2798524729324299 }, { "NTD ID": 90134, @@ -12239,7 +13229,8 @@ "All Fuels (Wh/pkm)": 2643.198144355609, "Unlinked Passenger Trips": 1263084, "Passenger Paid Fares": 6702382, - "Average Fare": 5.306362838892742 + "Average Fare": 5.306362838892742, + "Average Passengers": 26.49876701765156 }, { "NTD ID": 90136, @@ -12247,7 +13238,8 @@ "UACE Code": "69184", "Unlinked Passenger Trips": 274826, "Passenger Paid Fares": 920332, - "Average Fare": 3.3487806830503666 + "Average Fare": 3.3487806830503666, + "Average Passengers": 1.3881505087330748 }, { "NTD ID": 90136, @@ -12263,7 +13255,8 @@ "All Fuels (Wh/pkm)": 1320.7327407524645, "Unlinked Passenger Trips": 5537099, "Passenger Paid Fares": 688482, - "Average Fare": 0.12433983932741675 + "Average Fare": 0.12433983932741675, + "Average Passengers": 1.650622560849731 }, { "NTD ID": 90136, @@ -12275,7 +13268,8 @@ "All Fuels (Wh/pkm)": 245.07584501621284, "Unlinked Passenger Trips": 434966, "Passenger Paid Fares": 2039536, - "Average Fare": 4.688954998781514 + "Average Fare": 4.688954998781514, + "Average Passengers": 5.361811799224842 }, { "NTD ID": 90140, @@ -12287,7 +13281,8 @@ "All Fuels (Wh/pkm)": 3846.9890200787645, "Unlinked Passenger Trips": 14932, "Passenger Paid Fares": 22030, - "Average Fare": 1.4753549424055719 + "Average Fare": 1.4753549424055719, + "Average Passengers": 0.8301502169315629 }, { "NTD ID": 90142, @@ -12301,7 +13296,8 @@ "All Fuels (Wh/pkm)": 1551.9065831504204, "Unlinked Passenger Trips": 350421, "Passenger Paid Fares": 43140, - "Average Fare": 0.12310906024467712 + "Average Fare": 0.12310906024467712, + "Average Passengers": 1.237298354484361 }, { "NTD ID": 90144, @@ -12313,7 +13309,8 @@ "All Fuels (Wh/pkm)": 2631.5018499941852, "Unlinked Passenger Trips": 420226, "Passenger Paid Fares": 336672, - "Average Fare": 0.8011688948327804 + "Average Fare": 0.8011688948327804, + "Average Passengers": 1.6491347666491871 }, { "NTD ID": 90146, @@ -12327,7 +13324,8 @@ "All Fuels (Wh/pkm)": 749.4255105940687, "Unlinked Passenger Trips": 6099989, "Passenger Paid Fares": 4002178, - "Average Fare": 0.6560959372221818 + "Average Fare": 0.6560959372221818, + "Average Passengers": 2.2919264821718874 }, { "NTD ID": 90147, @@ -12339,7 +13337,8 @@ "All Fuels (Wh/pkm)": 739.4241579602133, "Unlinked Passenger Trips": 343617, "Passenger Paid Fares": 249383, - "Average Fare": 0.7257586207900075 + "Average Fare": 0.7257586207900075, + "Average Passengers": 1.323609213179239 }, { "NTD ID": 90147, @@ -12353,7 +13352,8 @@ "All Fuels (Wh/pkm)": 3966.231335110846, "Unlinked Passenger Trips": 226632, "Passenger Paid Fares": 156373, - "Average Fare": 0.6899864096861873 + "Average Fare": 0.6899864096861873, + "Average Passengers": 1.3005850873059963 }, { "NTD ID": 90147, @@ -12368,7 +13368,8 @@ "All Fuels (Wh/pkm)": 1998.4561205283073, "Unlinked Passenger Trips": 8830412, "Passenger Paid Fares": 4548, - "Average Fare": 0.0005150382564256345 + "Average Fare": 0.0005150382564256345, + "Average Passengers": 1.3778440821908837 }, { "NTD ID": 90148, @@ -12380,7 +13381,8 @@ "All Fuels (Wh/pkm)": 225.69535750910265, "Unlinked Passenger Trips": 29124, "Passenger Paid Fares": 380878, - "Average Fare": 13.077805246532069 + "Average Fare": 13.077805246532069, + "Average Passengers": 5.689341331520936 }, { "NTD ID": 90148, @@ -12394,7 +13396,8 @@ "All Fuels (Wh/pkm)": 1332.8986506581757, "Unlinked Passenger Trips": 59109, "Passenger Paid Fares": 184989, - "Average Fare": 3.129624930213673 + "Average Fare": 3.129624930213673, + "Average Passengers": 1.3934896415340958 }, { "NTD ID": 90148, @@ -12408,7 +13411,8 @@ "All Fuels (Wh/pkm)": 1738.1728743077217, "Unlinked Passenger Trips": 563382, "Passenger Paid Fares": 563264, - "Average Fare": 0.9997905506388205 + "Average Fare": 0.9997905506388205, + "Average Passengers": 1.1195162034225343 }, { "NTD ID": 90148, @@ -12420,7 +13424,8 @@ "All Fuels (Wh/pkm)": 452.6890441524423, "Unlinked Passenger Trips": 407394, "Passenger Paid Fares": 2536718, - "Average Fare": 6.226694551220685 + "Average Fare": 6.226694551220685, + "Average Passengers": 4.228120690988837 }, { "NTD ID": 90151, @@ -12432,7 +13437,8 @@ "All Fuels (Wh/pkm)": 2085.7794962403163, "Unlinked Passenger Trips": 2102196, "Passenger Paid Fares": 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Fuels (Wh/pkm)": 314.38197522358143, "Unlinked Passenger Trips": 148832389, "Passenger Paid Fares": 12407169, - "Average Fare": 0.08336336655860574 + "Average Fare": 0.08336336655860574, + "Average Passengers": 6.764221673993635 }, { "NTD ID": 90154, @@ -12492,7 +13502,8 @@ "All Fuels (Wh/pkm)": 123.83459145452322, "Unlinked Passenger Trips": 2949449, "Passenger Paid Fares": 307154, - "Average Fare": 0.10413945113138082 + "Average Fare": 0.10413945113138082, + "Average Passengers": 13.031500873325182 }, { "NTD ID": 90154, @@ -12506,7 +13517,8 @@ "All Fuels (Wh/pkm)": 395.8866984724984, "Unlinked Passenger Trips": 1136208, "Passenger Paid Fares": 8505347, - "Average Fare": 7.485730605663751 + "Average Fare": 7.485730605663751, + "Average Passengers": 3.5623818352050054 }, { "NTD ID": 90156, @@ -12518,7 +13530,8 @@ "All Fuels (Wh/pkm)": 3366.118120142726, "Unlinked Passenger Trips": 179456, "Passenger Paid Fares": 40474, - "Average Fare": 0.2255371790299572 + "Average Fare": 0.2255371790299572, + "Average Passengers": 1.587102928659968 }, { "NTD ID": 90157, @@ -12532,7 +13545,8 @@ "All Fuels (Wh/pkm)": 1286.2334421008952, "Unlinked Passenger Trips": 2136786, "Passenger Paid Fares": 5234306, - "Average Fare": 2.449616386479507 + "Average Fare": 2.449616386479507, + "Average Passengers": 0.9772146328534189 }, { "NTD ID": 90159, @@ -12544,7 +13558,8 @@ "All Fuels (Wh/pkm)": 555.671354844084, "Unlinked Passenger Trips": 76959, "Passenger Paid Fares": 136996, - "Average Fare": 1.7801166855078678 + "Average Fare": 1.7801166855078678, + "Average Passengers": 7.090152682903085 }, { "NTD ID": 90159, @@ -12556,7 +13571,8 @@ "All Fuels (Wh/pkm)": 2548.771061142311, "Unlinked Passenger Trips": 12824, "Passenger Paid Fares": 7556, - "Average Fare": 0.5892077354959451 + "Average Fare": 0.5892077354959451, + "Average Passengers": 0.8827194761349089 }, { "NTD ID": 90159, @@ -12568,7 +13584,8 @@ "All Fuels (Wh/pkm)": 3032.9880784149805, "Unlinked Passenger Trips": 249605, "Passenger Paid Fares": 105159, - "Average Fare": 0.42130165661745556 + "Average Fare": 0.42130165661745556, + "Average Passengers": 1.8518724936487032 }, { "NTD ID": 90162, @@ -12580,7 +13597,8 @@ "All Fuels (Wh/pkm)": 3987.4881068770683, "Unlinked Passenger Trips": 105559, "Passenger Paid Fares": 437131, - "Average Fare": 4.141105921806762 + "Average Fare": 4.141105921806762, + "Average Passengers": 0.7578881058756262 }, { "NTD ID": 90162, @@ -12594,7 +13612,8 @@ "All Fuels (Wh/pkm)": 2841.9378416601307, "Unlinked Passenger Trips": 752676, "Passenger Paid Fares": 280435, - "Average Fare": 0.3725839537862241 + "Average Fare": 0.3725839537862241, + "Average Passengers": 1.9193907877280219 }, { "NTD ID": 90164, @@ -12604,7 +13623,8 @@ "All Fuels (%)": 100, "Diesel (Wh/pkm)": 1200.480104313727, "All Fuels (Wh/pkm)": 1200.480104313727, - "Unlinked Passenger Trips": 219254 + "Unlinked Passenger Trips": 219254, + "Average Passengers": 3.5641096023513983 }, { "NTD ID": 90164, @@ -12614,7 +13634,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 2253.5667643009783, "All Fuels (Wh/pkm)": 2253.5667643009783, - "Unlinked Passenger Trips": 14753 + "Unlinked Passenger Trips": 14753, + "Average Passengers": 0.35334212464249626 }, { "NTD ID": 90171, @@ -12628,7 +13649,8 @@ "All Fuels (Wh/pkm)": 533.1899804046375, "Unlinked Passenger Trips": 149919, "Passenger Paid Fares": 129304, - "Average Fare": 0.8624924125694542 + "Average Fare": 0.8624924125694542, + "Average Passengers": 4.655134692159059 }, { "NTD ID": 90171, @@ -12640,7 +13662,8 @@ "All Fuels (Wh/pkm)": 2669.479004094437, "Unlinked Passenger Trips": 48952, "Passenger Paid Fares": 48073, - "Average Fare": 0.9820436345808139 + "Average Fare": 0.9820436345808139, + "Average Passengers": 0.6185118065510806 }, { "NTD ID": 90171, @@ -12652,7 +13675,8 @@ "All Fuels (Wh/pkm)": 402.5234216008358, "Unlinked Passenger Trips": 1325065, "Passenger Paid Fares": 202826, - "Average Fare": 0.15306871738367553 + "Average Fare": 0.15306871738367553, + "Average Passengers": 3.398245288555513 }, { "NTD ID": 90173, @@ -12664,7 +13688,8 @@ "All Fuels (Wh/pkm)": 2288.7956031513513, "Unlinked Passenger Trips": 28960, "Passenger Paid Fares": 26656, - "Average Fare": 0.9204419889502763 + "Average Fare": 0.9204419889502763, + "Average Passengers": 0.5499572765759118 }, { "NTD ID": 90173, @@ -12676,7 +13701,8 @@ "All Fuels (Wh/pkm)": 3803.813125846691, "Unlinked Passenger Trips": 333190, "Passenger Paid Fares": 543138, - "Average Fare": 1.630114949428254 + "Average Fare": 1.630114949428254, + "Average Passengers": 1.3378969262185134 }, { "NTD ID": 90182, @@ -12688,7 +13714,8 @@ "All Fuels (Wh/pkm)": 746.6470095512432, "Unlinked Passenger Trips": 160007, "Passenger Paid Fares": 1469619, - "Average Fare": 9.184716918634809 + "Average Fare": 9.184716918634809, + "Average Passengers": 84.40497978091243 }, { "NTD ID": 90196, @@ -12700,7 +13727,8 @@ "All Fuels (Wh/pkm)": 2536.5928936710197, "Unlinked Passenger Trips": 5203, "Passenger Paid Fares": 34366, - "Average Fare": 6.605035556409764 + "Average Fare": 6.605035556409764, + "Average Passengers": 1.4441215412580508 }, { "NTD ID": 90196, @@ -12712,7 +13740,8 @@ "All Fuels (Wh/pkm)": 3488.9997517424295, "Unlinked Passenger Trips": 16570, "Passenger Paid Fares": 14051, - "Average Fare": 0.8479782739891369 + "Average Fare": 0.8479782739891369, + "Average Passengers": 0.581686967312151 }, { "NTD ID": 90196, @@ -12728,7 +13757,8 @@ "All Fuels (Wh/pkm)": 1026.682629637121, "Unlinked Passenger Trips": 322960, "Passenger Paid Fares": 397631, - "Average Fare": 1.2312081991577903 + "Average Fare": 1.2312081991577903, + "Average Passengers": 1.7889215292965632 }, { "NTD ID": 90196, @@ -12740,7 +13770,8 @@ "All Fuels (Wh/pkm)": 470.60782148993144, "Unlinked Passenger Trips": 5253, "Passenger Paid Fares": 24567, - "Average Fare": 4.676756139348943 + "Average Fare": 4.676756139348943, + "Average Passengers": 2.34466645606276 }, { "NTD ID": 90200, @@ -12752,7 +13783,8 @@ "All Fuels (Wh/pkm)": 1833.7491734176112, "Unlinked Passenger Trips": 14334, "Passenger Paid Fares": 24454, - "Average Fare": 1.7060136737826148 + "Average Fare": 1.7060136737826148, + "Average Passengers": 0.5599132940194416 }, { "NTD ID": 90200, @@ -12764,7 +13796,8 @@ "All Fuels (Wh/pkm)": 855.408215110674, "Unlinked Passenger Trips": 276949, "Passenger Paid Fares": 122285, - "Average Fare": 0.44154338885498773 + "Average Fare": 0.44154338885498773, + "Average Passengers": 1.9797551530841717 }, { "NTD ID": 90200, @@ -12776,7 +13809,8 @@ "All Fuels (Wh/pkm)": 216.45005330353612, "Unlinked Passenger Trips": 95463, "Passenger Paid Fares": 352813, - "Average Fare": 3.6958088474068487 + "Average Fare": 3.6958088474068487, + "Average Passengers": 6.6196862515973285 }, { "NTD ID": 90201, @@ -12788,7 +13822,8 @@ "All Fuels (Wh/pkm)": 967.0644994735786, "Unlinked Passenger Trips": 4637, "Passenger Paid Fares": 9307, - "Average Fare": 2.0071166702609444 + "Average Fare": 2.0071166702609444, + "Average Passengers": 1.4176084893451815 }, { "NTD ID": 90201, @@ -12802,7 +13837,8 @@ "All Fuels (Wh/pkm)": 1512.7842832834149, "Unlinked Passenger Trips": 117992, "Passenger Paid Fares": 40531, - "Average Fare": 0.34350633941284153 + "Average Fare": 0.34350633941284153, + "Average Passengers": 1.3150518037864831 }, { "NTD ID": 90205, @@ -12814,7 +13850,8 @@ "All Fuels (Wh/pkm)": 248.95875076952288, "Unlinked Passenger Trips": 26716, "Passenger Paid Fares": 75017, - "Average Fare": 2.807942805809253 + "Average Fare": 2.807942805809253, + "Average Passengers": 0.9807271180203012 }, { "NTD ID": 90205, @@ -12826,7 +13863,8 @@ "All Fuels (Wh/pkm)": 862.0109145388176, "Unlinked Passenger Trips": 9068, "Passenger Paid Fares": 60079, - "Average Fare": 6.625385972651081 + "Average Fare": 6.625385972651081, + "Average Passengers": 0.5148451155564188 }, { "NTD ID": 90206, @@ -12838,7 +13876,8 @@ "All Fuels (Wh/pkm)": 4454.640953210045, "Unlinked Passenger Trips": 24264, "Passenger Paid Fares": 75750, - "Average Fare": 3.1219090009891195 + "Average Fare": 3.1219090009891195, + "Average Passengers": 0.5704990804323953 }, { "NTD ID": 90206, @@ -12852,7 +13891,8 @@ "All Fuels (Wh/pkm)": 776.0771689326953, "Unlinked Passenger Trips": 500946, "Passenger Paid Fares": 310939, - "Average Fare": 0.6207036287344344 + "Average Fare": 0.6207036287344344, + "Average Passengers": 4.4609948097204475 }, { "NTD ID": 90208, @@ -12864,7 +13904,8 @@ "All Fuels (Wh/pkm)": 5686.846012504174, "Unlinked Passenger Trips": 49975, "Passenger Paid Fares": 97740, - "Average Fare": 1.9557778889444721 + "Average Fare": 1.9557778889444721, + "Average Passengers": 0.5958534038328979 }, { "NTD ID": 90208, @@ -12878,7 +13919,8 @@ "All Fuels (Wh/pkm)": 3068.284700254978, "Unlinked Passenger Trips": 326240, "Passenger Paid Fares": 265799, - "Average Fare": 0.814734551250613 + "Average Fare": 0.814734551250613, + "Average Passengers": 1.450689599074509 }, { "NTD ID": 90209, @@ -12890,7 +13932,8 @@ "All Fuels (Wh/pkm)": 131.95139737132217, "Unlinked Passenger Trips": 6581599, "Passenger Paid Fares": 1529388, - "Average Fare": 0.23237331839876602 + "Average Fare": 0.23237331839876602, + "Average Passengers": 32.34220414329461 }, { "NTD ID": 90211, @@ -12900,7 +13943,8 @@ "All Fuels (%)": 100, "Electric (Wh/pkm)": 279.1991589938948, "All Fuels (Wh/pkm)": 279.1991589938948, - "Unlinked Passenger Trips": 6107 + "Unlinked Passenger Trips": 6107, + "Average Passengers": 0.797369184640681 }, { "NTD ID": 90211, @@ -12914,7 +13958,8 @@ "All Fuels (Wh/pkm)": 3332.321343644299, "Unlinked Passenger Trips": 68573, "Passenger Paid Fares": 53022, - "Average Fare": 0.7732197803800329 + "Average Fare": 0.7732197803800329, + "Average Passengers": 0.9443936985456358 }, { "NTD ID": 90213, @@ -12926,7 +13971,8 @@ "All Fuels (Wh/pkm)": 3648.5807764749948, "Unlinked Passenger Trips": 9395, "Passenger Paid Fares": 8749, - "Average Fare": 0.931240021287919 + "Average Fare": 0.931240021287919, + "Average Passengers": 0.9282851209735837 }, { "NTD ID": 90213, @@ -12938,7 +13984,8 @@ "All Fuels (Wh/pkm)": 4145.564775595753, "Unlinked Passenger Trips": 112547, "Passenger Paid Fares": 33583, - "Average Fare": 0.29839089447075445 + "Average Fare": 0.29839089447075445, + "Average Passengers": 1.2748120067118265 }, { "NTD ID": 90214, @@ -12948,7 +13995,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 1299.0637421873137, "All Fuels (Wh/pkm)": 1299.0637421873137, - "Unlinked Passenger Trips": 4845 + "Unlinked Passenger Trips": 4845, + "Average Passengers": 0.8332431141537973 }, { "NTD ID": 90214, @@ -12958,7 +14006,8 @@ "All Fuels (%)": 100, "CNG (Wh/pkm)": 1013.3654582675732, "All Fuels (Wh/pkm)": 1013.3654582675732, - "Unlinked Passenger Trips": 161331 + "Unlinked Passenger Trips": 161331, + "Average Passengers": 1.5185891150592878 }, { "NTD ID": 90218, @@ -12970,7 +14019,8 @@ "All Fuels (Wh/pkm)": 486.64994388003265, "Unlinked Passenger Trips": 60105, "Passenger Paid Fares": 404031, - "Average Fare": 6.722086348889444 + "Average Fare": 6.722086348889444, + "Average Passengers": 3.408622494743612 }, { "NTD ID": 90219, @@ -12982,7 +14032,8 @@ "All Fuels (Wh/pkm)": 3880.836054004612, "Unlinked Passenger Trips": 6288, "Passenger Paid Fares": 21823, - "Average Fare": 3.4705788804071247 + "Average Fare": 3.4705788804071247, + "Average Passengers": 0.7989060387916129 }, { "NTD ID": 90219, @@ -12994,7 +14045,8 @@ "All Fuels (Wh/pkm)": 1098.5130350410113, "Unlinked Passenger Trips": 924728, "Passenger Paid Fares": 250234, - "Average Fare": 0.2706028150980613 + "Average Fare": 0.2706028150980613, + "Average Passengers": 4.300575954687885 }, { "NTD ID": 90219, @@ -13006,7 +14058,8 @@ "All Fuels (Wh/pkm)": 395.31207766708235, "Unlinked Passenger Trips": 8646, "Passenger Paid Fares": 52787, - "Average Fare": 6.105366643534582 + "Average Fare": 6.105366643534582, + "Average Passengers": 4.282355156465147 }, { "NTD ID": 90222, @@ -13018,7 +14071,8 @@ "All Fuels (Wh/pkm)": 378.9994560658303, "Unlinked Passenger Trips": 31413, "Passenger Paid Fares": 195761, - "Average Fare": 6.231846687677076 + "Average Fare": 6.231846687677076, + "Average Passengers": 4.824022193225803 }, { "NTD ID": 90223, @@ -13030,7 +14084,8 @@ "Gasoline (Wh/pkm)": 1829.5237540271908, "CNG (Wh/pkm)": 187.43469861251197, "All Fuels (Wh/pkm)": 247.7302230594756, - "Unlinked Passenger Trips": 3873 + "Unlinked Passenger Trips": 3873, + "Average Passengers": 0.6163655513246374 }, { "NTD ID": 90225, @@ -13042,7 +14097,8 @@ "All Fuels (Wh/pkm)": 4829.450117747289, "Unlinked Passenger Trips": 264498, "Passenger Paid Fares": 1936267, - "Average Fare": 7.320535504994367 + "Average Fare": 7.320535504994367, + "Average Passengers": 34.61365418383011 }, { "NTD ID": 90226, @@ -13054,7 +14110,8 @@ "All Fuels (Wh/pkm)": 2266.843223086492, "Unlinked Passenger Trips": 6191, "Passenger Paid Fares": 15342, - "Average Fare": 2.478113390405427 + "Average Fare": 2.478113390405427, + "Average Passengers": 1.2033852591064491 }, { "NTD ID": 90226, @@ -13068,7 +14125,8 @@ "All Fuels (Wh/pkm)": 967.6907774662874, "Unlinked Passenger Trips": 255849, "Passenger Paid Fares": 13520, - "Average Fare": 0.05284366950818647 + "Average Fare": 0.05284366950818647, + "Average Passengers": 4.242288309150292 }, { "NTD ID": 90230, @@ -13080,7 +14138,8 @@ "All Fuels (Wh/pkm)": 156.02844144210442, "Unlinked Passenger Trips": 3403134, "Passenger Paid Fares": 11862895, - "Average Fare": 3.4858736094435305 + "Average Fare": 3.4858736094435305, + "Average Passengers": 10.856342024951012 }, { "NTD ID": 90232, @@ -13092,7 +14151,8 @@ "All Fuels (Wh/pkm)": 381.7157521844903, "Unlinked Passenger Trips": 185636, "Passenger Paid Fares": 729420, - "Average Fare": 3.9293025059794435 + "Average Fare": 3.9293025059794435, + "Average Passengers": 3.521498547497719 }, { "NTD ID": 90232, @@ -13106,7 +14166,8 @@ "All Fuels (Wh/pkm)": 4524.797084474114, "Unlinked Passenger Trips": 10312, "Passenger Paid Fares": 38360, - "Average Fare": 3.7199379363847944 + "Average Fare": 3.7199379363847944, + "Average Passengers": 0.5419579396882038 }, { "NTD ID": 90232, @@ -13122,7 +14183,8 @@ "All Fuels (Wh/pkm)": 3456.9902259397004, "Unlinked Passenger Trips": 226432, "Passenger Paid Fares": 275664, - "Average Fare": 1.217425098925947 + "Average Fare": 1.217425098925947, + "Average Passengers": 1.275634532977735 }, { "NTD ID": 90233, @@ -13134,7 +14196,8 @@ "All Fuels (Wh/pkm)": 1673.9703356853593, "Unlinked Passenger Trips": 6489, "Passenger Paid Fares": 105, - "Average Fare": 0.016181229773462782 + "Average Fare": 0.016181229773462782, + "Average Passengers": 0.6591130986102238 }, { "NTD ID": 90233, @@ -13148,7 +14211,8 @@ "All Fuels (Wh/pkm)": 1308.2866153956923, "Unlinked Passenger Trips": 227895, "Passenger Paid Fares": 17840, - "Average Fare": 0.07828166480177275 + "Average Fare": 0.07828166480177275, + "Average Passengers": 3.186221188810589 }, { "NTD ID": 90233, @@ -13160,7 +14224,8 @@ "All Fuels (Wh/pkm)": 478.12484802090677, "Unlinked Passenger Trips": 58784, "Passenger Paid Fares": 388277, - "Average Fare": 6.605147659227001 + "Average Fare": 6.605147659227001, + "Average Passengers": 4.1828110309870805 }, { "NTD ID": 90234, @@ -13172,7 +14237,8 @@ "All Fuels (Wh/pkm)": 3395.0054943718856, "Unlinked Passenger Trips": 31166, "Passenger Paid Fares": 138997, - "Average Fare": 4.4598921902072775 + "Average Fare": 4.4598921902072775, + "Average Passengers": 0.6335805628903328 }, { "NTD ID": 90234, @@ -13188,7 +14254,8 @@ "All Fuels (Wh/pkm)": 1587.5312708284557, "Unlinked Passenger Trips": 1429586, "Passenger Paid Fares": 1317017, - "Average Fare": 0.9212576228362617 + "Average Fare": 0.9212576228362617, + "Average Passengers": 2.4823288446081944 }, { "NTD ID": 90241, @@ -13202,7 +14269,8 @@ "All Fuels (Wh/pkm)": 2472.4554161620163, "Unlinked Passenger Trips": 101746, "Passenger Paid Fares": 74311, - "Average Fare": 0.7303579501896881 + "Average Fare": 0.7303579501896881, + "Average Passengers": 0.7926076077661293 }, { "NTD ID": 90241, @@ -13216,7 +14284,8 @@ "All Fuels (Wh/pkm)": 923.0282557486753, "Unlinked Passenger Trips": 833497, "Passenger Paid Fares": 977841, - "Average Fare": 1.1731787876860984 + "Average Fare": 1.1731787876860984, + "Average Passengers": 4.706795801764777 }, { "NTD ID": 90244, @@ -13230,7 +14299,8 @@ "All Fuels (Wh/pkm)": 1322.6039312206747, "Unlinked Passenger Trips": 6883, "Passenger Paid Fares": 7857, - "Average Fare": 1.1415080633444719 + "Average Fare": 1.1415080633444719, + "Average Passengers": 0.8358217559232145 }, { "NTD ID": 90244, @@ -13242,7 +14312,8 @@ "All Fuels (Wh/pkm)": 497.6786084970131, "Unlinked Passenger Trips": 175659, "Passenger Paid Fares": 105776, - "Average Fare": 0.6021666979773311 + "Average Fare": 0.6021666979773311, + "Average Passengers": 1.846218598241467 }, { "NTD ID": 90299, @@ -13254,7 +14325,8 @@ "All Fuels (Wh/pkm)": 537.6868364171489, "Unlinked Passenger Trips": 122849, "Passenger Paid Fares": 706938, - "Average Fare": 5.754527916385156 + "Average Fare": 5.754527916385156, + "Average Passengers": 15.652350081037277 }, { "NTD ID": 90302, @@ -13266,7 +14338,8 @@ "All Fuels (Wh/pkm)": 451.67490662567144, "Unlinked Passenger Trips": 92542, "Passenger Paid Fares": 709086, - "Average Fare": 7.66231548918329 + "Average Fare": 7.66231548918329, + "Average Passengers": 3.3776692225059373 }, { "NTD ID": 99422, @@ -13278,7 +14351,8 @@ "All Fuels (Wh/pkm)": 294.23856749470656, "Unlinked Passenger Trips": 451172, "Passenger Paid Fares": 3180560, - "Average Fare": 7.04955094731056 + "Average Fare": 7.04955094731056, + "Average Passengers": 4.252374867222903 }, { "NTD ID": 99423, @@ -13288,7 +14362,8 @@ "All Fuels (%)": 100, "Gasoline (Wh/pkm)": 5037.114589632655, "All Fuels (Wh/pkm)": 5037.114589632655, - "Unlinked Passenger Trips": 14524 + "Unlinked Passenger Trips": 14524, + "Average Passengers": 0.4865655172413793 }, { "NTD ID": 99423, @@ -13300,7 +14375,8 @@ "All Fuels (Wh/pkm)": 2127.4848860191846, "Unlinked Passenger Trips": 357990, "Passenger Paid Fares": 2200, - "Average Fare": 0.006145423056509959 + "Average Fare": 0.006145423056509959, + "Average Passengers": 0.9317150591958515 }, { "NTD ID": 99424, @@ -13308,7 +14384,8 @@ "UACE Code": "51445", "Unlinked Passenger Trips": 29368, "Passenger Paid Fares": 3907, - "Average Fare": 0.1330359575047671 + "Average Fare": 0.1330359575047671, + "Average Passengers": 0.5065091045440697 }, { "NTD ID": 99424, @@ -13320,7 +14397,8 @@ "All Fuels (Wh/pkm)": 680.5078967817111, "Unlinked Passenger Trips": 882456, "Passenger Paid Fares": 87811, - "Average Fare": 0.09950751085606535 + "Average Fare": 0.09950751085606535, + "Average Passengers": 2.2804922458066965 } ], "metadata": { diff --git a/src/emcommon/resources/ntd2022_intensities.json b/src/emcommon/resources/ntd2022_intensities.json index 88da1e8..17bfa65 100644 --- a/src/emcommon/resources/ntd2022_intensities.json +++ b/src/emcommon/resources/ntd2022_intensities.json @@ -4,18 +4,18 @@ "NTD ID": 1, "Mode": "DR", "UACE Code": "80389", - "Gasoline (%)": 60.37191964706491, - "Diesel (%)": 6.285248662963403, - "LPG (%)": 16.671415844985848, - "Other (%)": 16.671415844985848, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2624.7138807393762, - "Diesel (Wh/pkm)": 2021.200473588226, - "LPG (Wh/pkm)": 2775.9195838284686, - "All Fuels (Wh/pkm)": 2174.4127281297933, - "Unlinked Passenger Trips": 666004, + "Gasoline (%)": 81.76515577157265, + "Diesel (%)": 1.9571584490855862, + "LPG (%)": 16.27768577934175, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 4698.248113019578, + "Diesel (Wh/pkm)": 9135.76130338665, + "LPG (Wh/pkm)": 6052.632234697149, + "All Fuels (Wh/pkm)": 5005.5596689261065, + "Unlinked Passenger Trips": 1676163, "Passenger Paid Fares": 832327.0, - "Average Fare": 1.2497327343379319 + "Average Fare": 0.49656686133747135, + "Average Passengers": 0.9907145502780537 }, { "NTD ID": 1, @@ -23,27 +23,29 @@ "UACE Code": "80389", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3348.9509675198565, - "All Fuels (Wh/pkm)": 3348.9509675198565, - "Unlinked Passenger Trips": 400407, + "Diesel (Wh/pkm)": 6413.557212928183, + "All Fuels (Wh/pkm)": 6413.557212928183, + "Unlinked Passenger Trips": 800094, "Passenger Paid Fares": 1316658.0, - "Average Fare": 3.2882991556091676 + "Average Fare": 1.6456291385762174, + "Average Passengers": 27.442527958588457 }, { "NTD ID": 1, "Mode": "MB", "UACE Code": "80389", - "Gasoline (%)": 3.9991645344441094, - "Diesel (%)": 94.89312263295183, - "Electric (%)": 1.107712832604054, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 339.7248001597345, - "Diesel (Wh/pkm)": 885.2824503522846, - "Electric (Wh/pkm)": 254.61662411807737, - "All Fuels (Wh/pkm)": 856.4787360027929, - "Unlinked Passenger Trips": 53983641, + "Gasoline (%)": 2.937879384242905, + "Diesel (%)": 94.99193630069239, + "Electric (%)": 2.0701843150647226, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 831.4832635386335, + "Diesel (Wh/pkm)": 1649.7821754248937, + "Electric (Wh/pkm)": 448.00818438509884, + "All Fuels (Wh/pkm)": 1600.8626037260706, + "Unlinked Passenger Trips": 118092776, "Passenger Paid Fares": 33049303.0, - "Average Fare": 0.6122095951253084 + "Average Fare": 0.2798588035562819, + "Average Passengers": 6.273458701480646 }, { "NTD ID": 1, @@ -51,11 +53,12 @@ "UACE Code": "80389", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 915.8930708106508, - "All Fuels (Wh/pkm)": 915.8930708106508, - "Unlinked Passenger Trips": 1117605, + "Electric (Wh/pkm)": 1769.2799989128957, + "All Fuels (Wh/pkm)": 1769.2799989128957, + "Unlinked Passenger Trips": 2529422, "Passenger Paid Fares": 305083.0, - "Average Fare": 0.2729792726410494 + "Average Fare": 0.12061372123750011, + "Average Passengers": 7.629462550213813 }, { "NTD ID": 1, @@ -63,11 +66,12 @@ "UACE Code": "80389", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 527.925956012407, - "All Fuels (Wh/pkm)": 527.925956012407, - "Unlinked Passenger Trips": 9575042, + "Electric (Wh/pkm)": 928.128737860663, + "All Fuels (Wh/pkm)": 928.128737860663, + "Unlinked Passenger Trips": 20426608, "Passenger Paid Fares": 5880000.0, - "Average Fare": 0.6140965230230844 + "Average Fare": 0.2878598345843813, + "Average Passengers": 6.748400495684464 }, { "NTD ID": 1, @@ -75,42 +79,42 @@ "UACE Code": "80389", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 367.2278938987092, - "All Fuels (Wh/pkm)": 367.2278938987092, - "Unlinked Passenger Trips": 702709, + "Gasoline (Wh/pkm)": 567.1574074148584, + "All Fuels (Wh/pkm)": 567.1574074148584, + "Unlinked Passenger Trips": 1807193, "Passenger Paid Fares": 3086787.0, - "Average Fare": 4.392695980839864 + "Average Fare": 1.7080560847679247, + "Average Passengers": 3.394013187431469 }, { "NTD ID": 2, "Mode": "DR", "UACE Code": "83764", - "Gasoline (%)": 42.982919391803236, - "Diesel (%)": 56.837251186646554, - "LPG (%)": 0.08991471077510578, - "Other (%)": 0.08991471077510578, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2140.3885566528556, - "Diesel (Wh/pkm)": 2223.0589665641332, - "LPG (Wh/pkm)": 1799.2928674565553, - "All Fuels (Wh/pkm)": 2185.144925808574, - "Unlinked Passenger Trips": 310016, + "Gasoline (%)": 51.994918568335834, + "Diesel (%)": 48.00508143166417, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3419.0897287104367, + "Diesel (Wh/pkm)": 4248.842744952872, + "All Fuels (Wh/pkm)": 3818.7199767924094, + "Unlinked Passenger Trips": 670943, "Passenger Paid Fares": 531284.0, - "Average Fare": 1.7137309042113955 + "Average Fare": 0.7918466993470384, + "Average Passengers": 1.1441734017194414 }, { "NTD ID": 2, "Mode": "MB", "UACE Code": "83764", - "Diesel (%)": 99.39116618865182, - "Electric (%)": 0.6088338113481769, + "Diesel (%)": 96.08638171689347, + "Electric (%)": 3.9136182831065245, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1063.782193309182, - "Electric (Wh/pkm)": 880.5178648881858, - "All Fuels (Wh/pkm)": 1062.666418113615, - "Unlinked Passenger Trips": 6595319, + "Diesel (Wh/pkm)": 1787.9008969295762, + "Electric (Wh/pkm)": 633.8371144614932, + "All Fuels (Wh/pkm)": 1742.7352457401946, + "Unlinked Passenger Trips": 15542476, "Passenger Paid Fares": 5363406.0, - "Average Fare": 0.813214038623454 + "Average Fare": 0.3450805392911657, + "Average Passengers": 4.6833378874342415 }, { "NTD ID": 2, @@ -118,43 +122,46 @@ "UACE Code": "83764", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 391.6445572626314, - "All Fuels (Wh/pkm)": 391.6445572626314, - "Unlinked Passenger Trips": 90576, + "Gasoline (Wh/pkm)": 743.5171001753346, + "All Fuels (Wh/pkm)": 743.5171001753346, + "Unlinked Passenger Trips": 186231, "Passenger Paid Fares": 247718.0, - "Average Fare": 2.7349187422716836 + "Average Fare": 1.3301652249088498, + "Average Passengers": 2.922266080023058 }, { "NTD ID": 3, "Mode": "DR", "UACE Code": "80389", - "Gasoline (%)": 94.62870095891421, - "CNG (%)": 5.3712990410857975, + "Gasoline (%)": 95.34633049948086, + "CNG (%)": 4.65366950051915, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3753.779307105487, - "CNG (Wh/pkm)": 933.4456395951597, - "All Fuels (Wh/pkm)": 3602.290751867085, - "Unlinked Passenger Trips": 215109, + "Gasoline (Wh/pkm)": 5932.919718957061, + "CNG (Wh/pkm)": 1672.4807147210233, + "All Fuels (Wh/pkm)": 5734.652968428707, + "Unlinked Passenger Trips": 493507, "Passenger Paid Fares": 263813.0, - "Average Fare": 1.2264154451929021 + "Average Fare": 0.5345678987329461, + "Average Passengers": 0.8587161952376782 }, { "NTD ID": 3, "Mode": "MB", "UACE Code": "80389", - "Gasoline (%)": 0.8720146762937315, - "Diesel (%)": 7.376083716032325, - "CNG (%)": 90.04089022682383, - "Electric (%)": 1.7110113808501093, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 834.1027262731336, - "Diesel (Wh/pkm)": 1331.0730727285506, - "CNG (Wh/pkm)": 303.0677392183453, - "Electric (Wh/pkm)": 404.7576884456047, - "All Fuels (Wh/pkm)": 385.26490285116677, - "Unlinked Passenger Trips": 4950296, + "Gasoline (%)": 0.8179956227189119, + "Diesel (%)": 10.257368473340431, + "CNG (%)": 87.09811953529773, + "Electric (%)": 1.8265163686429324, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 789.3770523141693, + "Diesel (Wh/pkm)": 852.9277071813325, + "CNG (Wh/pkm)": 542.9937400909504, + "Electric (Wh/pkm)": 709.8417299044332, + "All Fuels (Wh/pkm)": 579.8477196732434, + "Unlinked Passenger Trips": 11052102, "Passenger Paid Fares": 4342991.0, - "Average Fare": 0.8773194572607376 + "Average Fare": 0.3929561091636686, + "Average Passengers": 4.829837891176792 }, { "NTD ID": 3, @@ -162,11 +169,12 @@ "UACE Code": "80389", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 346.3357835067414, - "All Fuels (Wh/pkm)": 346.3357835067414, - "Unlinked Passenger Trips": 382751, + "Gasoline (Wh/pkm)": 664.1078504489369, + "All Fuels (Wh/pkm)": 664.1078504489369, + "Unlinked Passenger Trips": 794792, "Passenger Paid Fares": 1535720.0, - "Average Fare": 4.012321326397579 + "Average Fare": 1.9322288095501716, + "Average Passengers": 3.5814748714577225 }, { "NTD ID": 5, @@ -174,25 +182,27 @@ "UACE Code": "80389", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3794.084543430081, - "All Fuels (Wh/pkm)": 3794.084543430081, - "Unlinked Passenger Trips": 64329, + "Gasoline (Wh/pkm)": 6975.924760911444, + "All Fuels (Wh/pkm)": 6975.924760911444, + "Unlinked Passenger Trips": 139414, "Passenger Paid Fares": 112410.0, - "Average Fare": 1.747423401576272 + "Average Fare": 0.8063035276227638, + "Average Passengers": 0.9165346599212179 }, { "NTD ID": 5, "Mode": "MB", "UACE Code": "80389", - "Diesel (%)": 85.55657006748709, - "Electric (%)": 14.439380706629615, + "Diesel (%)": 74.35204961416606, + "Electric (%)": 25.647950385833923, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1648.582129176938, - "Electric (Wh/pkm)": 792.8007138479063, - "All Fuels (Wh/pkm)": 1525.5255943414145, - "Unlinked Passenger Trips": 1007952, + "Diesel (Wh/pkm)": 3243.796759632811, + "Electric (Wh/pkm)": 962.1493991741813, + "All Fuels (Wh/pkm)": 2659.1051267005632, + "Unlinked Passenger Trips": 2337837, "Passenger Paid Fares": 597637.0, - "Average Fare": 0.5929220835912822 + "Average Fare": 0.25563672745362487, + "Average Passengers": 3.2961926819884395 }, { "NTD ID": 6, @@ -200,11 +210,12 @@ "UACE Code": "97507", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4141.317368771669, - "All Fuels (Wh/pkm)": 4141.317368771669, - "Unlinked Passenger Trips": 40196, + "Gasoline (Wh/pkm)": 7592.041883791347, + "All Fuels (Wh/pkm)": 7592.041883791347, + "Unlinked Passenger Trips": 86333, "Passenger Paid Fares": 70560.0, - "Average Fare": 1.7553985471191162 + "Average Fare": 0.8173004528975015, + "Average Passengers": 0.5090667240795168 }, { "NTD ID": 6, @@ -212,11 +223,12 @@ "UACE Code": "97507", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1960.889918074679, - "All Fuels (Wh/pkm)": 1960.889918074679, - "Unlinked Passenger Trips": 454913, + "Diesel (Wh/pkm)": 3518.4322100747427, + "All Fuels (Wh/pkm)": 3518.4322100747427, + "Unlinked Passenger Trips": 1029495, "Passenger Paid Fares": 307625.0, - "Average Fare": 0.6762282018759631 + "Average Fare": 0.2988115532372668, + "Average Passengers": 2.9026546178702937 }, { "NTD ID": 7, @@ -224,27 +236,29 @@ "UACE Code": "28117", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 530.022032025577, - "All Fuels (Wh/pkm)": 530.022032025577, - "Unlinked Passenger Trips": 303801, + "Gasoline (Wh/pkm)": 1040.9192801256042, + "All Fuels (Wh/pkm)": 1040.9192801256042, + "Unlinked Passenger Trips": 632487, "Passenger Paid Fares": 10724805.0, - "Average Fare": 35.30207273840442 + "Average Fare": 16.956561953052, + "Average Passengers": 4.5506894080727465 }, { "NTD ID": 7, "Mode": "MB", "UACE Code": "28117", - "Gasoline (%)": 1.559557189067799, - "Diesel (%)": 88.52322097133772, - "Electric (%)": 9.917221839594465, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 539.750410223079, - "Diesel (Wh/pkm)": 1071.8060087081992, - "Electric (Wh/pkm)": 354.66439767762927, - "All Fuels (Wh/pkm)": 992.3877729022437, - "Unlinked Passenger Trips": 2840887, + "Gasoline (%)": 2.367984741132257, + "Diesel (%)": 84.13171768226468, + "Electric (%)": 13.50029757660307, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 730.2947026961364, + "Diesel (Wh/pkm)": 2036.3182083480472, + "Electric (Wh/pkm)": 576.1008112933652, + "All Fuels (Wh/pkm)": 1808.2580771508997, + "Unlinked Passenger Trips": 6259597, "Passenger Paid Fares": 1085367.0, - "Average Fare": 0.382052154837556 + "Average Fare": 0.1733924723907945, + "Average Passengers": 4.943369826794181 }, { "NTD ID": 7, @@ -252,11 +266,12 @@ "UACE Code": "28117", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 860.7781307944202, - "All Fuels (Wh/pkm)": 860.7781307944202, - "Unlinked Passenger Trips": 2144978, + "Diesel (Wh/pkm)": 1547.705645826249, + "All Fuels (Wh/pkm)": 1547.705645826249, + "Unlinked Passenger Trips": 4699304, "Passenger Paid Fares": 979298.0, - "Average Fare": 0.45655386675294574 + "Average Fare": 0.20839213636742804, + "Average Passengers": 8.081570205244455 }, { "NTD ID": 7, @@ -264,11 +279,12 @@ "UACE Code": "28117", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 312.4142384445266, - "All Fuels (Wh/pkm)": 312.4142384445266, - "Unlinked Passenger Trips": 6548, + "Gasoline (Wh/pkm)": 426.27573951150674, + "All Fuels (Wh/pkm)": 426.27573951150674, + "Unlinked Passenger Trips": 16439, "Passenger Paid Fares": 39340.0, - "Average Fare": 6.00794135613928 + "Average Fare": 2.3930896039905103, + "Average Passengers": 4.420591234495963 }, { "NTD ID": 8, @@ -276,11 +292,12 @@ "UACE Code": "71317", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2333.5335371267574, - "All Fuels (Wh/pkm)": 2333.5335371267574, - "Unlinked Passenger Trips": 437924, + "Diesel (Wh/pkm)": 4269.816398442799, + "All Fuels (Wh/pkm)": 4269.816398442799, + "Unlinked Passenger Trips": 977455, "Passenger Paid Fares": 1055288.0, - "Average Fare": 2.4097514637242994 + "Average Fare": 1.079628218178842, + "Average Passengers": 0.9247404039149745 }, { "NTD ID": 8, @@ -288,61 +305,68 @@ "UACE Code": "71317", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 156.95127437713057, - "All Fuels (Wh/pkm)": 156.95127437713057, - "Unlinked Passenger Trips": 18589527, + "Electric (Wh/pkm)": 304.3694750223358, + "All Fuels (Wh/pkm)": 304.3694750223358, + "Unlinked Passenger Trips": 40405048, "Passenger Paid Fares": 14187373.0, - "Average Fare": 0.7631917154212692 + "Average Fare": 0.3511287253018484, + "Average Passengers": 26.119183487471183 }, { "NTD ID": 8, "Mode": "MB", "UACE Code": "71317", - "Diesel (%)": 99.20241043017349, - "Electric (%)": 0.797589569826517, + "Electric (%)": 0.9689232920035886, + "Other (%)": 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"Gasoline (%)": 33.45356775158649, + "CNG (%)": 66.54643224841351, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 616.3226522319319, - "CNG (Wh/pkm)": 556.0212749353004, - "All Fuels (Wh/pkm)": 568.6393922287131, - "Unlinked Passenger Trips": 108138, + "Gasoline (Wh/pkm)": 1831.289028474901, + "CNG (Wh/pkm)": 990.5497612011012, + "All Fuels (Wh/pkm)": 1271.8070415927334, + "Unlinked Passenger Trips": 215120, "Passenger Paid Fares": 79927.0, - "Average Fare": 0.7391203832140413 + "Average Fare": 0.3715461137969505, + "Average Passengers": 0.7966533952621677 }, { "NTD ID": 11, "Mode": "MB", "UACE Code": "08785", - "CNG (%)": 95.44629172663191, - "Electric (%)": 4.553708273368083, + "CNG (%)": 89.00205390567001, + "Electric (%)": 10.997946094329999, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 663.02369871701, - "Electric (Wh/pkm)": 235.62769578857484, - "All Fuels (Wh/pkm)": 643.7871356520367, - "Unlinked Passenger Trips": 917730, + "CNG (Wh/pkm)": 1297.69274274978, + "Electric (Wh/pkm)": 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(Wh/pkm)": 723.9717225832195, - "Diesel (Wh/pkm)": 1343.438806077189, - "All Fuels (Wh/pkm)": 1282.6683237871114, - "Unlinked Passenger Trips": 2412726, + "Gasoline (Wh/pkm)": 3554.183867284674, + "Diesel (Wh/pkm)": 2702.6662968552787, + "All Fuels (Wh/pkm)": 2735.2097509692917, + "Unlinked Passenger Trips": 5157772, "Passenger Paid Fares": 2921052.0, - "Average Fare": 1.2106853409794565 + "Average Fare": 0.5663398847409308, + "Average Passengers": 4.324502861482014 }, { "NTD ID": 12, @@ -376,11 +402,12 @@ "UACE Code": "02305", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 250.1862307755111, - "All Fuels (Wh/pkm)": 250.1862307755111, - "Unlinked Passenger Trips": 189684, + "Gasoline (Wh/pkm)": 664.7852767357977, + "All Fuels (Wh/pkm)": 664.7852767357977, + "Unlinked Passenger Trips": 408778, "Passenger Paid Fares": 1400709.0, - "Average Fare": 7.384434111469602 + "Average Fare": 3.4265762834594815, + "Average Passengers": 4.766533123693461 }, { "NTD ID": 16, @@ -388,38 +415,40 @@ "UACE Code": "51283", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 793.4910635850874, - "All Fuels (Wh/pkm)": 793.4910635850874, - "Unlinked Passenger Trips": 521, + "Gasoline (Wh/pkm)": 1298.1687707170659, + "All Fuels (Wh/pkm)": 1298.1687707170659, + "Unlinked Passenger Trips": 831, "Passenger Paid Fares": 191.0, - "Average Fare": 0.3666026871401152 + "Average Fare": 0.22984356197352587, + "Average Passengers": 0.63153894870171 }, { "NTD ID": 16, "Mode": "DR", "UACE Code": "51283", - "Gasoline (%)": 31.126582682478677, - "LPG (%)": 34.436708658760665, - "Other (%)": 34.436708658760665, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5769.924977003565, - "LPG (Wh/pkm)": 5895.9192900288535, - "All Fuels (Wh/pkm)": 3826.3410173469097, - "Unlinked Passenger Trips": 30214, + "LPG (%)": 66.92694090215609, + "All Fuels (%)": 100, + "LPG (Wh/pkm)": 10028.823832256909, + "All Fuels (Wh/pkm)": 11516.365027509604, + "Unlinked Passenger Trips": 62271, 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"Gasoline (Wh/pkm)": 4389.272501269202, + "All Fuels (Wh/pkm)": 4389.272501269202, + "Unlinked Passenger Trips": 795840, "Passenger Paid Fares": 150939.0, - "Average Fare": 0.4064974307597841 + "Average Fare": 0.18965998190591074, + "Average Passengers": 0.7718173855353523 }, { "NTD ID": 18, "Mode": "MB", "UACE Code": "44479", - "Diesel (%)": 99.9999730160015, - "Electric (%)": 2.6983998488896086e-05, + "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2094.1750965691253, - "All Fuels (Wh/pkm)": 2094.174531476949, - "Unlinked Passenger Trips": 1781820, + "Diesel (Wh/pkm)": 3340.039727247513, + "All Fuels (Wh/pkm)": 3340.039727247513, + "Unlinked Passenger Trips": 4229535, "Passenger Paid Fares": 523211.0, - "Average Fare": 0.29363852689946235 + "Average Fare": 0.12370414241754708, + "Average Passengers": 2.560734255268322 }, { "NTD ID": 18, @@ -452,11 +482,12 @@ "UACE Code": "44479", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 249.52274253308826, - "All Fuels (Wh/pkm)": 249.52274253308826, - "Unlinked Passenger Trips": 244427, + "Gasoline (Wh/pkm)": 460.4571731107528, + "All Fuels (Wh/pkm)": 460.4571731107528, + "Unlinked Passenger Trips": 550565, "Passenger Paid Fares": 694805.0, - "Average Fare": 2.842586948250398 + "Average Fare": 1.2619854149827905, + "Average Passengers": 5.730787550003234 }, { "NTD ID": 19, @@ -464,24 +495,25 @@ "UACE Code": "65242", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 79.35405235010722, - "All Fuels (Wh/pkm)": 79.35405235010722, - "Unlinked Passenger Trips": 82960 + "Diesel (Wh/pkm)": 186.51990794063406, + "All Fuels (Wh/pkm)": 186.51990794063406, + "Unlinked Passenger Trips": 196399, + "Average Passengers": 7.619333432272563 }, { "NTD ID": 19, "Mode": "DR", "UACE Code": "65242", - "Gasoline (%)": 12.25840380234354, - "Diesel (%)": 29.305827770571906, - "LPG (%)": 29.217884213542273, - "Other (%)": 29.217884213542273, + "Gasoline (%)": 13.904806801438326, + "Diesel (%)": 51.17772145285645, + "LPG (%)": 34.91747174570523, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4483.152300391845, - "Diesel (Wh/pkm)": 3528.569447387252, - "LPG (Wh/pkm)": 4468.915302003484, - "All Fuels (Wh/pkm)": 2889.361895613066, - "Unlinked Passenger Trips": 130004 + "Gasoline (Wh/pkm)": 10079.627545505578, + "Diesel (Wh/pkm)": 6304.273205449976, + "LPG (Wh/pkm)": 9500.732408665954, + "All Fuels (Wh/pkm)": 7945.351671650357, + "Unlinked Passenger Trips": 267307, + "Average Passengers": 0.7594635793674729 }, { "NTD ID": 19, @@ -489,9 +521,10 @@ "UACE Code": "65242", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1377.0636394857595, - "All Fuels (Wh/pkm)": 1377.0636394857595, - "Unlinked Passenger Trips": 2885836 + "Diesel (Wh/pkm)": 2334.3188453245925, + "All Fuels (Wh/pkm)": 2334.3188453245925, + "Unlinked Passenger Trips": 6335787, + "Average Passengers": 4.37148778912618 }, { "NTD ID": 19, @@ -499,28 +532,29 @@ "UACE Code": "65242", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 239.23992514583495, - "All Fuels (Wh/pkm)": 239.23992514583495, - "Unlinked Passenger Trips": 212856, + "Gasoline (Wh/pkm)": 548.7276830791404, + "All Fuels (Wh/pkm)": 548.7276830791404, + "Unlinked Passenger Trips": 411158, "Passenger Paid Fares": 404230.0, - "Average Fare": 1.8990773104822039 + "Average Fare": 0.9831500299155069, + "Average Passengers": 3.746890278593234 }, { "NTD ID": 20, "Mode": "DR", "UACE Code": "09946", - "Gasoline (%)": 2.2431297791676488, - "Diesel (%)": 11.204280222957799, - "LPG (%)": 43.276294998937274, - "Other (%)": 43.276294998937274, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1175.2643063717921, - "Diesel (Wh/pkm)": 1726.928953369717, - "LPG (Wh/pkm)": 2928.1474681562804, - "All Fuels (Wh/pkm)": 1487.0463991503138, - "Unlinked Passenger Trips": 227227, + "Gasoline (%)": 3.1873644447776464, + "Diesel (%)": 19.93478881334843, + "LPG (%)": 76.87784674187392, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2418.401041533294, + "Diesel (Wh/pkm)": 3017.1049526262864, + "LPG (Wh/pkm)": 5319.524960289559, + "All Fuels (Wh/pkm)": 4768.073001880228, + "Unlinked Passenger Trips": 480806, "Passenger Paid Fares": 190201.0, - "Average Fare": 0.8370528150263833 + "Average Fare": 0.3955878254431101, + "Average Passengers": 1.0594962035910003 }, { "NTD ID": 20, @@ -528,25 +562,29 @@ "UACE Code": "09946", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3445.4902046380134, - "All Fuels (Wh/pkm)": 3445.4902046380134, - "Unlinked Passenger Trips": 794789, + "Diesel (Wh/pkm)": 5642.222739558457, + "All Fuels (Wh/pkm)": 5642.222739558457, + "Unlinked Passenger Trips": 1887019, "Passenger Paid Fares": 2947815.0, - "Average Fare": 3.708927778316006 + "Average Fare": 1.5621543821233383, + "Average Passengers": 33.18995122514835 }, { "NTD ID": 20, "Mode": "MB", "UACE Code": "09946", - "Diesel (%)": 99.31727949722486, - "Electric (%)": 0.6827205027751327, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1816.0518186356592, - "Electric (Wh/pkm)": 470.5861013168665, - "All Fuels (Wh/pkm)": 1806.8660483257133, - "Unlinked Passenger Trips": 1103948, + "Diesel (%)": 96.49212966103022, + "LPG (%)": 1.657992238106915, + "Electric (%)": 1.8498781008628715, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 3056.9904374555335, + "LPG (Wh/pkm)": 1030.5806489153208, + "Electric (Wh/pkm)": 655.3661772573097, + "All Fuels (Wh/pkm)": 2978.9655991948816, + "Unlinked Passenger Trips": 2417890, "Passenger Paid Fares": 2001125.0, - "Average Fare": 1.8126986053690934 + "Average Fare": 0.8276327707215796, + "Average Passengers": 2.758164397668924 }, { "NTD ID": 20, @@ -554,40 +592,42 @@ "UACE Code": "09946", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 400.11108378437467, - "All Fuels (Wh/pkm)": 400.11108378437467, - "Unlinked Passenger Trips": 75487, + "Gasoline (Wh/pkm)": 690.6535147252349, + "All Fuels (Wh/pkm)": 690.6535147252349, + "Unlinked Passenger Trips": 154867, "Passenger Paid Fares": 183660.0, - "Average Fare": 2.43300170890352 + "Average Fare": 1.185920822383077, + "Average Passengers": 3.46093707829661 }, { "NTD ID": 21, "Mode": "DR", "UACE Code": "06652", - "Gasoline (%)": 37.968488710030286, - "LPG (%)": 31.01575564498485, - "Other (%)": 31.01575564498485, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3791.3944398674626, - "LPG (Wh/pkm)": 4037.9643709594898, - "All Fuels (Wh/pkm)": 2691.9403321821383, - "Unlinked Passenger Trips": 168956, + "Gasoline (%)": 55.01059175021798, + "LPG (%)": 44.98940824978202, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 6342.521915219024, + "LPG (Wh/pkm)": 6763.596476545303, + "All Fuels (Wh/pkm)": 6531.960868650082, + "Unlinked Passenger Trips": 358129, "Passenger Paid Fares": 76252.0, - "Average Fare": 0.4513127678212079 + "Average Fare": 0.21291769166976146, + "Average Passengers": 0.9025461060789413 }, { "NTD ID": 21, "Mode": "MB", "UACE Code": "06652", - "Diesel (%)": 98.42512927534969, - "Electric 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"All Fuels (Wh/pkm)": 4103.161659342645, + "Unlinked Passenger Trips": 436931, "Passenger Paid Fares": 151715.0, - "Average Fare": 0.8187710474052327 + "Average Fare": 0.34722873863378884, + "Average Passengers": 0.9426017319014661 }, { "NTD ID": 24, "Mode": "MB", "UACE Code": "71317", - "Diesel (%)": 100.0, + "Diesel (%)": 97.27885926412483, + "Electric (%)": 2.721140735875158, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1063.2948806104387, - "All Fuels (Wh/pkm)": 1079.3245351268374, - "Unlinked Passenger Trips": 3796727, + "Diesel (Wh/pkm)": 2367.0663649375792, + "Electric (Wh/pkm)": 280.5861906175364, + "All Fuels (Wh/pkm)": 2327.617950305428, + "Unlinked Passenger Trips": 8015528, "Passenger Paid Fares": 2334126.0, - "Average Fare": 0.6147731980729718 + "Average Fare": 0.2912005297717131, + "Average Passengers": 4.097295666835863 }, { "NTD ID": 24, @@ -643,11 +691,12 @@ "UACE Code": "71317", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 355.02122468496054, - "All Fuels (Wh/pkm)": 355.02122468496054, - "Unlinked Passenger Trips": 22608, + "Gasoline (Wh/pkm)": 706.2908148884446, + "All Fuels (Wh/pkm)": 706.2908148884446, + "Unlinked Passenger Trips": 44478, "Passenger Paid Fares": 105077.0, - "Average Fare": 4.647779547062987 + "Average Fare": 2.3624488511174064, + "Average Passengers": 3.1948721143960874 }, { "NTD ID": 25, @@ -655,27 +704,29 @@ "UACE Code": "78229", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4233.819228857614, - "All Fuels (Wh/pkm)": 4233.819228857614, - "Unlinked Passenger Trips": 71900, + "Gasoline (Wh/pkm)": 7402.552365093837, + "All Fuels (Wh/pkm)": 7402.552365093837, + "Unlinked Passenger Trips": 156698, "Passenger Paid Fares": 190516.0, - "Average Fare": 2.6497357440890124 + "Average Fare": 1.215816411185848, + "Average Passengers": 0.778446996403301 }, { "NTD ID": 25, "Mode": "MB", "UACE Code": "78229", - "Gasoline (%)": 11.480242493283754, - "Diesel (%)": 35.65693363725902, - "CNG (%)": 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"Average Fare": 1.046641226256209, + "Average Passengers": 0.9900758831231922 }, { "NTD ID": 29, @@ -734,11 +790,12 @@ "UACE Code": "80389", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1518.9346977959337, - "All Fuels (Wh/pkm)": 1518.9346977959337, - "Unlinked Passenger Trips": 4673114, + "Diesel (Wh/pkm)": 3158.877593592253, + "All Fuels (Wh/pkm)": 3158.877593592253, + "Unlinked Passenger Trips": 10332579, "Passenger Paid Fares": 3444644.0, - "Average Fare": 0.7371196165982683 + "Average Fare": 0.33337698168095303, + "Average Passengers": 3.953657416935095 }, { "NTD ID": 29, @@ -746,11 +803,12 @@ "UACE Code": "80389", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 268.9152460311957, - "All Fuels (Wh/pkm)": 268.9152460311957, - "Unlinked Passenger Trips": 281228, + "Gasoline (Wh/pkm)": 502.8672082151221, + "All Fuels (Wh/pkm)": 502.8672082151221, + "Unlinked Passenger Trips": 662296, "Passenger Paid Fares": 754326.0, - "Average Fare": 2.6822578121666405 + "Average Fare": 1.138955995506541, + "Average Passengers": 3.3772772908046402 }, { "NTD ID": 34, @@ -758,25 +816,27 @@ "UACE Code": "55981", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2442.655690615302, - "All Fuels (Wh/pkm)": 2442.655690615302, - "Unlinked Passenger Trips": 40486, + "Gasoline (Wh/pkm)": 5250.6441159046335, + "All Fuels (Wh/pkm)": 5250.6441159046335, + "Unlinked Passenger Trips": 81392, "Passenger Paid Fares": 109675.0, - "Average Fare": 2.708961122363286 + "Average Fare": 1.3474911539217613, + "Average Passengers": 0.6635768156726398 }, { "NTD ID": 34, "Mode": "MB", "UACE Code": "55981", - "Diesel (%)": 14.805598205460027, - "CNG (%)": 85.19440179453997, + "Diesel (%)": 12.905008292160701, + "CNG (%)": 87.0949917078393, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1375.679810927687, - "CNG (Wh/pkm)": 412.9746302785362, - "All Fuels (Wh/pkm)": 555.5088912285976, - "Unlinked Passenger Trips": 650153, + "Diesel (Wh/pkm)": 2819.737970578207, + "CNG (Wh/pkm)": 736.6703884899679, + "All Fuels (Wh/pkm)": 1005.4904326897664, + "Unlinked Passenger Trips": 1484529, "Passenger Paid Fares": 771641.0, - "Average Fare": 1.1868606312667942 + "Average Fare": 0.5197884312128628, + "Average Passengers": 2.919593408715677 }, { "NTD ID": 35, @@ -784,25 +844,27 @@ "UACE Code": "80389", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2750.517512655516, - "All Fuels (Wh/pkm)": 2750.517512655516, - "Unlinked Passenger Trips": 17156046, + "Diesel (Wh/pkm)": 5412.581950850969, + "All Fuels (Wh/pkm)": 5412.581950850969, + "Unlinked Passenger Trips": 35397165, "Passenger Paid Fares": 57644277.0, - "Average Fare": 3.35999781068435 + "Average Fare": 1.6284998247741027, + "Average Passengers": 171.6143623621454 }, { "NTD ID": 40, "Mode": "CB", "UACE Code": "80389", - "Diesel (%)": 85.59715966441712, - "CNG (%)": 14.402840335582878, + "Diesel (%)": 85.82711666241362, + "CNG (%)": 14.172883337586399, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 726.348807908595, - "CNG (Wh/pkm)": 150.0609110308069, - "All Fuels (Wh/pkm)": 643.3469822479987, - "Unlinked Passenger Trips": 6852694, + "Diesel (Wh/pkm)": 1159.234818233286, + "CNG (Wh/pkm)": 246.70924452208843, + "All Fuels (Wh/pkm)": 1029.903633245557, + "Unlinked Passenger Trips": 15420828, "Passenger Paid Fares": 5472140.0, - "Average Fare": 0.7985385017921419 + "Average Fare": 0.354853837939182, + "Average Passengers": 8.199623752227582 }, { "NTD ID": 40, @@ -810,11 +872,12 @@ "UACE Code": "80389", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 666.2801683151159, - "All Fuels (Wh/pkm)": 666.2801683151159, - "Unlinked Passenger Trips": 1269923, + "Diesel (Wh/pkm)": 1297.2396032798817, + "All Fuels (Wh/pkm)": 1297.2396032798817, + "Unlinked Passenger Trips": 3025674, "Passenger Paid Fares": 1393189.0, - "Average Fare": 1.097065727607107 + "Average Fare": 0.46045575299916647, + "Average Passengers": 114.68031462819171 }, { "NTD ID": 40, @@ -822,11 +885,12 @@ "UACE Code": "80389", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 42.115784907596186, - "All Fuels (Wh/pkm)": 42.115784907596186, - "Unlinked Passenger Trips": 23624135, + "Electric (Wh/pkm)": 74.40250677492074, + "All Fuels (Wh/pkm)": 74.40250677492074, + "Unlinked Passenger Trips": 50491886, "Passenger Paid Fares": 15128592.0, - "Average Fare": 0.6403871295181813 + "Average Fare": 0.29962422081044865, + "Average Passengers": 78.47941686188985 }, { "NTD ID": 40, @@ -834,9 +898,10 @@ "UACE Code": "80389", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 913.7291637634604, - "All Fuels (Wh/pkm)": 913.7291637634604, - "Unlinked Passenger Trips": 267722 + "Electric (Wh/pkm)": 902.9733941790995, + "All Fuels (Wh/pkm)": 902.9733941790995, + "Unlinked Passenger Trips": 647722, + "Average Passengers": 4.8316150227815635 }, { "NTD ID": 41, @@ -844,35 +909,40 @@ "UACE Code": "02305", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 95.06460204539961, - "All Fuels (Wh/pkm)": 95.06460204539961, - "Unlinked Passenger Trips": 219757, + "Diesel (Wh/pkm)": 196.41714561439537, + "All Fuels (Wh/pkm)": 196.41714561439537, + "Unlinked Passenger Trips": 445191, "Passenger Paid Fares": 33709263.0, - "Average Fare": 153.39335265770828 + "Average Fare": 75.7186533420487, + "Average Passengers": 144.65780997550425 }, { "NTD ID": 43, "Mode": "DR", "UACE Code": "93862", - "Gasoline (%)": 100.0, + "Gasoline (%)": 98.47626910272172, + "Electric (%)": 1.5237308972782828, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4179.138365066243, - "All Fuels (Wh/pkm)": 4179.138365066243, - "Unlinked Passenger Trips": 72218 + "Gasoline (Wh/pkm)": 7589.088421350786, + "Electric (Wh/pkm)": 512.6013258526154, + "All Fuels (Wh/pkm)": 7481.261801034769, + "Unlinked Passenger Trips": 164446, + "Average Passengers": 0.6712385822986258 }, { "NTD ID": 43, "Mode": "MB", "UACE Code": "93862", - "Gasoline (%)": 37.500952135283114, - "Diesel (%)": 39.88210812798754, - "Electric (%)": 22.616939736729336, + "Gasoline (%)": 29.796264568005647, + "Diesel (%)": 37.961319170340786, + "Electric (%)": 32.24241626165355, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 827.6130815443145, - "Diesel (Wh/pkm)": 1164.6956042376687, - "Electric (Wh/pkm)": 412.38572259801083, - "All Fuels (Wh/pkm)": 868.1369761821279, - "Unlinked Passenger Trips": 877306 + "Gasoline (Wh/pkm)": 1693.2911369995916, + "Diesel (Wh/pkm)": 2207.4330570450347, + "Electric (Wh/pkm)": 598.3013092404054, + "All Fuels (Wh/pkm)": 1535.4150139676804, + "Unlinked Passenger Trips": 1888697, + "Average Passengers": 3.7529472893266487 }, { "NTD ID": 44, @@ -880,34 +950,36 @@ "UACE Code": "60490", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 214.99698991174958, - "All Fuels (Wh/pkm)": 214.99698991174958, - "Unlinked Passenger Trips": 100058, + "Diesel (Wh/pkm)": 414.03978046946713, + "All Fuels (Wh/pkm)": 414.03978046946713, + "Unlinked Passenger 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276522, + "Unlinked Passenger Trips": 616594, "Passenger Paid Fares": 216295.0, - "Average Fare": 0.7821981614482754 + "Average Fare": 0.3507899849820141, + "Average Passengers": 1.2670178442523372 }, { "NTD ID": 44, @@ -915,51 +987,55 @@ "UACE Code": "60490", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 250.63751833973794, - "All Fuels (Wh/pkm)": 250.63751833973794, - "Unlinked Passenger Trips": 53297, + "Gasoline (Wh/pkm)": 473.67446358652876, + "All Fuels (Wh/pkm)": 473.67446358652876, + "Unlinked Passenger Trips": 109287, "Passenger Paid Fares": 298245.0, - "Average Fare": 5.595905960935887 + "Average Fare": 2.729007109720278, + "Average Passengers": 4.117112380591558 }, { "NTD ID": 46, "Mode": "DR", "UACE Code": "71317", - "Gasoline (%)": 53.63023068564684, - "CNG (%)": 46.369769314353164, + "Gasoline (%)": 39.91026738701233, + "CNG (%)": 60.08973261298768, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 738.7013360753857, - "CNG (Wh/pkm)": 93.82585048073067, - "All Fuels (Wh/pkm)": 441.79657250645397, - "Unlinked Passenger Trips": 9411 + "Gasoline (Wh/pkm)": 1488.127343894068, + "CNG (Wh/pkm)": 233.47203455363947, + "All Fuels (Wh/pkm)": 736.1066884208403, + "Unlinked Passenger Trips": 20368, + "Average Passengers": 0.7013619287565115 }, { "NTD ID": 46, "Mode": "MB", "UACE Code": "71317", - "Diesel (%)": 84.23103666969763, - "Electric (%)": 15.768963330302357, + "Diesel (%)": 74.49583383649316, + "Electric (%)": 25.504166163506824, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1631.571667727774, - "Electric (Wh/pkm)": 1941.4598737274916, - "All Fuels (Wh/pkm)": 2754.777007352529, - "Unlinked Passenger Trips": 147252, + "Diesel (Wh/pkm)": 3207.722172108104, + "Electric (Wh/pkm)": 2271.15515597557, + "All Fuels (Wh/pkm)": 4915.444849125422, + "Unlinked Passenger Trips": 320834, "Passenger Paid Fares": 52523.0, - "Average Fare": 0.3566878548338902 + "Average Fare": 0.16370771177618332, + "Average Passengers": 1.9343982991879651 }, { "NTD ID": 57, "Mode": "CB", "UACE Code": "06868", - "Gasoline (%)": 32.06439384866935, - "Diesel (%)": 67.93560615133065, + "Gasoline (%)": 21.488146169868887, + "Diesel (%)": 78.51185383013112, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 465.44280462841164, - "Diesel (Wh/pkm)": 616.1762804810054, - "All Fuels (Wh/pkm)": 567.8445051218407, - "Unlinked Passenger Trips": 157585, + "Gasoline (Wh/pkm)": 1134.884331380355, + "Diesel (Wh/pkm)": 1162.3682653057695, + "All Fuels (Wh/pkm)": 1156.4624774106462, + "Unlinked Passenger Trips": 348600, "Passenger Paid Fares": 87934.0, - "Average Fare": 0.5580099628771774 + "Average Fare": 0.25224899598393574, + "Average Passengers": 4.270239486277121 }, { "NTD ID": 57, @@ -967,21 +1043,25 @@ "UACE Code": "06868", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5622.075588082136, - "All Fuels (Wh/pkm)": 5622.075588082136, - "Unlinked Passenger Trips": 47355 + "Gasoline (Wh/pkm)": 11238.141777139064, + "All Fuels (Wh/pkm)": 11238.141777139064, 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"Electric (Wh/pkm)": 8.837269439343272, - "All Fuels (Wh/pkm)": 947.6046470056383, - "Unlinked Passenger Trips": 78240 + "Gasoline (Wh/pkm)": 1955.552123599464, + "Electric (Wh/pkm)": 22.83676958698356, + "All Fuels (Wh/pkm)": 1866.5608482594048, + "Unlinked Passenger Trips": 157291, + "Average Passengers": 1.9336279562083274 }, { "NTD ID": 376, @@ -1025,11 +1108,12 @@ "UACE Code": "71317", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2727.9147253544356, - "All Fuels (Wh/pkm)": 2727.9147253544356, - "Unlinked Passenger Trips": 84656, + "Gasoline (Wh/pkm)": 6279.9466927476215, + "All Fuels (Wh/pkm)": 6279.9466927476215, + "Unlinked Passenger Trips": 169718, "Passenger Paid Fares": 30527.0, - "Average Fare": 0.3606005481005481 + "Average Fare": 0.17986895909685477, + "Average Passengers": 0.8788830597284601 }, { "NTD ID": 415, @@ -1037,51 +1121,49 @@ "UACE Code": "08785", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 366.01371337180984, - "All Fuels (Wh/pkm)": 366.01371337180984, - "Unlinked Passenger Trips": 123058, + "Gasoline (Wh/pkm)": 728.7215783873968, + "All Fuels (Wh/pkm)": 728.7215783873968, + "Unlinked Passenger Trips": 253773, "Passenger Paid Fares": 848358.0, - "Average Fare": 6.89396869768727 + "Average Fare": 3.342979749618754, + "Average Passengers": 3.7144159577940794 }, { "NTD ID": 10001, "Mode": "DR", "UACE Code": "72505", - "Gasoline (%)": 1.1341577893649601, - "Diesel (%)": 98.86584221063505, + "Diesel (%)": 97.43589470000256, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 830.875483879776, - "Diesel (Wh/pkm)": 3043.4487659182337, - "All Fuels (Wh/pkm)": 3018.3546936945877, - "Unlinked Passenger Trips": 244771, + "Diesel (Wh/pkm)": 2400.124271035841, + "All Fuels (Wh/pkm)": 4121.476770763377, + "Unlinked Passenger Trips": 539284, "Passenger Paid Fares": 209661.0, - "Average Fare": 0.856559804878846 + "Average Fare": 0.38877660008455656, + "Average Passengers": 1.6056258831623405 }, { "NTD ID": 10001, "Mode": "MB", "UACE Code": "72505", - "Diesel (%)": 99.81469702892552, - "Electric (%)": 0.1853029710744768, + "Diesel (%)": 99.8964646893014, + "Electric (%)": 0.1035353106985932, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1042.4373469262011, - "Electric (Wh/pkm)": 297.39186693703454, - "All Fuels (Wh/pkm)": 1041.056755515925, - "Unlinked Passenger Trips": 9367431, + "Diesel (Wh/pkm)": 2194.8140346104556, + "Electric (Wh/pkm)": 920.0688646765296, + "All Fuels (Wh/pkm)": 2193.494223238149, + "Unlinked Passenger Trips": 20407551, "Passenger Paid Fares": 7829693.0, - "Average Fare": 0.8358420787940685 + "Average Fare": 0.3836664673776878, + "Average Passengers": 4.153364792915329 }, { "NTD ID": 10001, "Mode": "VP", "UACE Code": "72505", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 323.79703635702265, - "All Fuels (Wh/pkm)": 323.79703635702265, - "Unlinked Passenger Trips": 71984, + "Unlinked Passenger Trips": 149888, "Passenger Paid Fares": 422509.0, - "Average Fare": 5.869484885530118 + "Average Fare": 2.8188313941076, + "Average Passengers": 5.511015511936227 }, { "NTD ID": 10003, @@ -1089,11 +1171,12 @@ "UACE Code": "09271", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1059.8897255590687, - "All Fuels (Wh/pkm)": 1059.8897255590687, - "Unlinked Passenger Trips": 14310785, + "Diesel (Wh/pkm)": 1555.8436942788862, + "All Fuels (Wh/pkm)": 1555.8436942788862, + "Unlinked Passenger Trips": 37805578, "Passenger Paid Fares": 80658731.0, - "Average Fare": 5.6362198859112205 + "Average Fare": 2.133514028009306, + "Average Passengers": 86.28618004511269 }, { "NTD ID": 10003, @@ -1101,11 +1184,12 @@ "UACE Code": "09271", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3487.3065408383704, - "All Fuels (Wh/pkm)": 3487.3065408383704, - "Unlinked Passenger Trips": 930174, + "Gasoline (Wh/pkm)": 6108.537140279027, + "All Fuels (Wh/pkm)": 6108.537140279027, + "Unlinked Passenger Trips": 1938721, "Passenger Paid Fares": 2718009.0, - "Average Fare": 2.922043617645731 + "Average Fare": 1.4019598487869065, + "Average Passengers": 0.685353317709745 }, { "NTD ID": 10003, @@ -1113,11 +1197,12 @@ "UACE Code": "09271", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 5814.618462684224, - "All Fuels (Wh/pkm)": 5814.618462684224, - "Unlinked Passenger Trips": 595180, + "Diesel (Wh/pkm)": 8318.384907530559, + "All Fuels (Wh/pkm)": 8318.384907530559, + "Unlinked Passenger Trips": 1604813, "Passenger Paid Fares": 4309134.0, - "Average Fare": 7.240051749050707 + "Average Fare": 2.6851315386901775, + "Average Passengers": 27.202997571004033 }, { "NTD ID": 10003, @@ -1125,11 +1210,12 @@ "UACE Code": "09271", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 83.79247224247509, - "All Fuels (Wh/pkm)": 83.79247224247509, - "Unlinked Passenger Trips": 78861897, + "Electric (Wh/pkm)": 136.87305598554423, + "All Fuels (Wh/pkm)": 136.87305598554423, + "Unlinked Passenger Trips": 162892132, 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Paid Fares": 5998846.0, - "Average Fare": 0.8069483547865951 - }, - { - "NTD ID": 10003, - "Mode": "TB", - "UACE Code": "09271", - "Electric (%)": 100.0, - "All Fuels (%)": 100, - "Electric (Wh/pkm)": 637.5991350614507, - "All Fuels (Wh/pkm)": 637.5991350614507, - "Unlinked Passenger Trips": 905096, - "Passenger Paid Fares": 1066929.0, - "Average Fare": 1.1788020276302182 + "Average Fare": 0.36707029934650753, + "Average Passengers": 11.965042624346326 }, { "NTD ID": 10004, @@ -1190,11 +1266,12 @@ "UACE Code": "09271", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2849.7328845945963, - "All Fuels (Wh/pkm)": 2849.7328845945963, - "Unlinked Passenger Trips": 101025, + "Gasoline (Wh/pkm)": 4550.627052670466, + "All Fuels (Wh/pkm)": 4550.627052670466, + "Unlinked Passenger Trips": 212124, "Passenger Paid Fares": 125447.0, - "Average Fare": 1.2417421430339024 + "Average Fare": 0.5913852275084385, + "Average Passengers": 1.1502366588259652 }, { "NTD ID": 10004, @@ -1202,11 +1279,12 @@ "UACE Code": "09271", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 668.6358514465122, - "All Fuels (Wh/pkm)": 668.6358514465122, - "Unlinked Passenger Trips": 1372594, + "Diesel (Wh/pkm)": 1237.0616067847347, + "All Fuels (Wh/pkm)": 1237.0616067847347, + "Unlinked Passenger Trips": 3120730, "Passenger Paid Fares": 1580297.0, - "Average Fare": 1.1513215124064362 + "Average Fare": 0.5063869671519163, + "Average Passengers": 8.001302949437678 }, { "NTD ID": 10005, @@ -1214,25 +1292,27 @@ "UACE Code": "09271", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3408.996593162418, - "All Fuels (Wh/pkm)": 3408.996593162418, - "Unlinked Passenger Trips": 81304, + "Gasoline (Wh/pkm)": 5937.7387501592175, + "All Fuels (Wh/pkm)": 5937.7387501592175, + "Unlinked Passenger Trips": 161595, "Passenger Paid Fares": 126834.0, - "Average Fare": 1.559997048115714 + "Average Fare": 0.784888146291655, + "Average Passengers": 0.8001787870790944 }, { "NTD ID": 10005, "Mode": "MB", "UACE Code": "09271", - "Gasoline (%)": 2.690620003553029, - "Diesel (%)": 97.30937999644696, + "Gasoline (%)": 2.7470287720563236, + "Diesel (%)": 97.25297122794368, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3257.119270787697, - "Diesel (Wh/pkm)": 1615.4126316203385, - "All Fuels (Wh/pkm)": 1659.5847188534337, - "Unlinked Passenger Trips": 705813, + "Gasoline (Wh/pkm)": 5111.2018730692425, + "Diesel (Wh/pkm)": 2936.347472902926, + "All Fuels (Wh/pkm)": 2996.091349025827, + "Unlinked Passenger Trips": 1437894, "Passenger Paid Fares": 757447.0, - "Average Fare": 1.0731553541802148 + "Average Fare": 0.5267752699434033, + "Average Passengers": 3.3868686816376314 }, { "NTD ID": 10006, @@ -1240,11 +1320,12 @@ "UACE Code": "61786", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3039.311888282104, - "All Fuels (Wh/pkm)": 3039.311888282104, - "Unlinked Passenger Trips": 83014, + "Gasoline (Wh/pkm)": 10089.951322561987, + "All Fuels 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"UACE Code": "83926", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3705.2080406598584, - "All Fuels (Wh/pkm)": 3705.2080406598584, - "Unlinked Passenger Trips": 150074, + "Gasoline (Wh/pkm)": 7089.78148658234, + "All Fuels (Wh/pkm)": 7089.78148658234, + "Unlinked Passenger Trips": 327050, "Passenger Paid Fares": 647519.0, - "Average Fare": 4.314664765382411 + "Average Fare": 1.979877694542119, + "Average Passengers": 0.6140389934044933 }, { "NTD ID": 10008, "Mode": "MB", "UACE Code": "83926", - "Diesel (%)": 95.64715039654051, - "Electric (%)": 2.54100027412265, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1266.805663064955, - "Electric (Wh/pkm)": 243.7824923085022, - "All Fuels (Wh/pkm)": 1292.9679280334742, - "Unlinked Passenger Trips": 6077602, + "Gasoline (%)": 1.752752012543327, + "Diesel (%)": 94.33648073773125, + "Electric (%)": 3.9107672497254278, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 5265.41891037944, + "Diesel (Wh/pkm)": 2295.545312956758, + "Electric (Wh/pkm)": 433.0209279798172, + "All Fuels (Wh/pkm)": 2274.760838539749, + "Unlinked Passenger Trips": 12980382, "Passenger Paid Fares": 4526752.0, - "Average Fare": 0.7448253439432198 - }, - { - "NTD ID": 10013, - "Mode": "CB", - "UACE Code": "09271", - "Diesel (%)": 100.0, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 969.2262423510613, - "All Fuels (Wh/pkm)": 969.2262423510613, - "Unlinked Passenger Trips": 3347, - "Passenger Paid Fares": 10227.0, - "Average Fare": 3.0555721541679115 + "Average Fare": 0.3487379647224558, + "Average Passengers": 4.7257679303356355 }, { "NTD ID": 10013, @@ -1328,11 +1404,12 @@ "UACE Code": "09271", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4534.904764231407, - "All Fuels (Wh/pkm)": 4534.904764231407, - "Unlinked Passenger Trips": 62767, + "Gasoline (Wh/pkm)": 6525.392465654943, + "All Fuels (Wh/pkm)": 6525.392465654943, + "Unlinked Passenger Trips": 155441, "Passenger Paid Fares": 72286.0, - "Average Fare": 1.1516561250338553 + "Average Fare": 0.46503818168951566, + "Average Passengers": 0.7563326303894347 }, { "NTD ID": 10013, @@ -1340,11 +1417,12 @@ "UACE Code": "09271", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1384.4989748019525, - "All Fuels (Wh/pkm)": 1384.4989748019525, - "Unlinked Passenger Trips": 1198037, + "Diesel (Wh/pkm)": 2681.7571950814913, + "All Fuels (Wh/pkm)": 2681.7571950814913, + "Unlinked Passenger Trips": 2990327, "Passenger Paid Fares": 478571.0, - "Average Fare": 0.3994626209374168 + "Average Fare": 0.1600396879672357, + "Average Passengers": 3.8271311944202573 }, { "NTD ID": 10014, @@ -1352,9 +1430,10 @@ "UACE Code": "97291", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1289.9520557095268, - "All Fuels (Wh/pkm)": 1289.9520557095268, - "Unlinked Passenger Trips": 141273 + "Gasoline (Wh/pkm)": 2658.4197213954412, + "All Fuels (Wh/pkm)": 2658.4197213954412, + "Unlinked Passenger Trips": 339221, + "Average Passengers": 0.9996272779747669 }, { "NTD ID": 10014, @@ -1362,39 +1441,40 @@ "UACE Code": "97291", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 848.4221901357771, - "All Fuels (Wh/pkm)": 904.5807358384436, - "Unlinked Passenger Trips": 3064750 + "Diesel (Wh/pkm)": 1359.8061306049779, + "All Fuels (Wh/pkm)": 1438.2865056323012, + "Unlinked Passenger Trips": 7000231, + "Average Passengers": 6.589764313093245 }, { "NTD ID": 10016, "Mode": "MB", "UACE Code": "71263", - "Diesel (%)": 81.19564550197684, - "CNG (%)": 16.89689660775216, - "Electric (%)": 1.9074578902709824, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 862.27585928577, - "CNG (Wh/pkm)": 236.51468490714512, - "Electric (Wh/pkm)": 230.26850069296864, - "All Fuels (Wh/pkm)": 744.4863664109862, - "Unlinked Passenger Trips": 1260110, + "Diesel (%)": 81.06007717072885, + "CNG (%)": 16.839410237338925, + "Electric (%)": 2.1005125919322487, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1466.2830667920239, + "CNG (Wh/pkm)": 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"Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1673.503095802735, - "All Fuels (Wh/pkm)": 1673.503095802735, - "Unlinked Passenger Trips": 29450, + "Gasoline (Wh/pkm)": 11968.413521717457, + "All Fuels (Wh/pkm)": 11968.413521717457, + "Unlinked Passenger Trips": 88258, "Passenger Paid Fares": 11821.0, - "Average Fare": 0.40139219015280136 + "Average Fare": 0.1339368669129144, + "Average Passengers": 0.3632932361030185 }, { "NTD ID": 10040, "Mode": "MB", "UACE Code": "64135", - "Gasoline (%)": 5.127339457069034, - "Diesel (%)": 94.87266054293096, + "Gasoline (%)": 5.97253177266783, + "Diesel (%)": 94.02746822733216, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 495.7361402471818, - "Diesel (Wh/pkm)": 1016.9910986175892, - "All Fuels (Wh/pkm)": 990.2645874651345, - "Unlinked Passenger Trips": 780748, + "Gasoline (Wh/pkm)": 635.0871188566304, + "Diesel (Wh/pkm)": 1632.0339522872266, + "All Fuels (Wh/pkm)": 1572.4909859039783, + "Unlinked Passenger Trips": 1933628, 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"Average Fare": 0.07473709750915794, + "Average Passengers": 3.185821183592318 }, { "NTD ID": 10045, @@ -1448,11 +1536,12 @@ "UACE Code": "37243", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2281.3836308877712, - "All Fuels (Wh/pkm)": 2281.3836308877712, - "Unlinked Passenger Trips": 112819, + "Diesel (Wh/pkm)": 3705.366627100567, + "All Fuels (Wh/pkm)": 3705.366627100567, + "Unlinked Passenger Trips": 279217, "Passenger Paid Fares": 18717.0, - "Average Fare": 0.16590290642533614 + "Average Fare": 0.06703388404001188, + "Average Passengers": 3.3892623035085743 }, { "NTD ID": 10048, @@ -1460,11 +1549,12 @@ "UACE Code": "37243", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 831.1793566373259, - "All Fuels (Wh/pkm)": 831.1793566373259, - "Unlinked Passenger Trips": 9247903, + "Diesel (Wh/pkm)": 1497.6846325599208, + "All Fuels (Wh/pkm)": 1497.6846325599208, + "Unlinked Passenger Trips": 23216740, "Passenger Paid Fares": 7911358.0, - "Average Fare": 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"Average Fare": 0.700614905392952 + "Average Fare": 0.3335017893103139, + "Average Passengers": 0.6744054865269845 }, { "NTD ID": 10050, "Mode": "DR", "UACE Code": "10162", - "Diesel (%)": 97.4323243998655, + "Diesel (%)": 98.16105787183739, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2519.616175847457, - "All Fuels (Wh/pkm)": 2704.843172802815, - "Unlinked Passenger Trips": 71883, + "Diesel (Wh/pkm)": 4702.789080438735, + "All Fuels (Wh/pkm)": 4937.602873445181, + "Unlinked Passenger Trips": 139447, "Passenger Paid Fares": 107730.0, - "Average Fare": 1.4986853637160387 + "Average Fare": 0.7725515787360072, + "Average Passengers": 0.9099730006028992 }, { "NTD ID": 10050, "Mode": "MB", "UACE Code": "10162", - "Diesel (%)": 97.86237351154864, - "Electric (%)": 2.137626488451356, + "Diesel (%)": 99.86750242318551, + "Electric (%)": 0.13249757681447932, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 924.1016264561355, - "Electric (Wh/pkm)": 259.0154291584905, - "All Fuels (Wh/pkm)": 909.8845677316672, - "Unlinked Passenger Trips": 3565273, + "Diesel (Wh/pkm)": 1580.6109605186716, + "Electric (Wh/pkm)": 3818.8538307377858, + "All Fuels (Wh/pkm)": 1583.576578084935, + "Unlinked Passenger Trips": 8764358, "Passenger Paid Fares": 1636268.0, - "Average Fare": 0.458946061073023 + "Average Fare": 0.18669570549263279, + "Average Passengers": 7.12541561703828 }, { "NTD ID": 10051, @@ -1522,25 +1616,27 @@ "UACE Code": "22096", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4706.345875775365, - "All Fuels (Wh/pkm)": 4706.345875775365, - "Unlinked Passenger Trips": 50215, + "Gasoline (Wh/pkm)": 7120.138750059812, + "All Fuels (Wh/pkm)": 7120.138750059812, + "Unlinked Passenger Trips": 110197, "Passenger Paid Fares": 47392.0, - "Average Fare": 0.9437817385243453 + "Average Fare": 0.4300661542510232, + "Average Passengers": 0.7148348482001619 }, { "NTD ID": 10051, "Mode": "MB", "UACE Code": "22096", - "Gasoline (%)": 47.220138283420184, - "Diesel (%)": 52.77986171657982, + "Gasoline (%)": 54.30792003083111, + "Diesel (%)": 45.69207996916888, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1082.4941033447305, - "Diesel (Wh/pkm)": 2759.9466420191784, - "All Fuels (Wh/pkm)": 1967.851233618362, - "Unlinked Passenger Trips": 410785, + "Gasoline (Wh/pkm)": 1308.9944159578533, + "Diesel (Wh/pkm)": 4730.515881349003, + "All Fuels (Wh/pkm)": 2872.358740086657, + "Unlinked Passenger Trips": 949535, "Passenger Paid Fares": 319341.0, - "Average Fare": 0.7773920664094356 + "Average Fare": 0.3363130374341125, + "Average Passengers": 2.881681021711038 }, { "NTD ID": 10053, @@ -1548,33 +1644,36 @@ "UACE Code": "09271", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3604.0863095292066, - "All Fuels (Wh/pkm)": 3604.0863095292066, - "Unlinked Passenger Trips": 36326, + "Gasoline (Wh/pkm)": 7260.0606262643005, + "All Fuels (Wh/pkm)": 7260.0606262643005, + "Unlinked Passenger Trips": 88772, "Passenger Paid Fares": 40479.0, - "Average 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0.8792704214185026 + "Average Fare": 0.36764978410403365, + "Average Passengers": 5.249980669445242 }, { "NTD ID": 10056, @@ -1582,25 +1681,25 @@ "UACE Code": "10162", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1192.6181605730137, - "All Fuels (Wh/pkm)": 1192.6181605730137, - "Unlinked Passenger Trips": 2366120, + "Diesel (Wh/pkm)": 1522.611176464898, + "All Fuels (Wh/pkm)": 1522.611176464898, + "Unlinked Passenger Trips": 5854029, "Passenger Paid Fares": 1792384.0, - "Average Fare": 0.7575203286392913 + "Average Fare": 0.30617955599468333, + "Average Passengers": 8.057609650508558 }, { "NTD ID": 10057, "Mode": "DR", "UACE Code": "10162", - "Gasoline (%)": 91.82855572056413, - "Diesel (%)": 8.171444279435873, + "Diesel (%)": 13.430261462444578, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5275.546497050962, - "Diesel (Wh/pkm)": 5585.814142654105, - "All Fuels (Wh/pkm)": 5300.89984482854, - "Unlinked Passenger Trips": 88014, + "Diesel (Wh/pkm)": 7497.443616755532, + "All Fuels (Wh/pkm)": 12458.663871410474, + "Unlinked Passenger Trips": 208272, "Passenger Paid Fares": 136523.0, - "Average Fare": 1.5511509532574363 + "Average Fare": 0.6555033801951294, + "Average Passengers": 0.7282405561089541 }, { "NTD ID": 10057, @@ -1608,11 +1707,12 @@ "UACE Code": "10162", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1280.2366757358038, - "All Fuels (Wh/pkm)": 1280.2366757358038, - "Unlinked Passenger Trips": 968027, + "Diesel (Wh/pkm)": 1679.4025435565284, + "All Fuels (Wh/pkm)": 1679.4025435565284, + "Unlinked Passenger Trips": 2412409, "Passenger Paid Fares": 847925.0, - "Average Fare": 0.8759311465485984 + "Average Fare": 0.3514847606686926, + "Average Passengers": 5.2426833363781125 }, { "NTD ID": 10061, @@ -1620,25 +1720,27 @@ "UACE Code": "49096", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 893.5904553143649, - "All Fuels (Wh/pkm)": 893.5904553143649, - "Unlinked Passenger Trips": 460977, + "Gasoline (Wh/pkm)": 1774.8337152264353, + "All Fuels (Wh/pkm)": 1774.8337152264353, + "Unlinked Passenger Trips": 993229, "Passenger Paid Fares": 2140023.0, - "Average Fare": 4.642363935727813 + "Average Fare": 2.1546118770192977, + "Average Passengers": 2.858589026730521 }, { "NTD ID": 10061, "Mode": "MB", "UACE Code": "49096", - "Gasoline (%)": 38.95615370816705, - "Diesel (%)": 61.043846291832956, + "Gasoline (%)": 52.528179510202975, + "Diesel (%)": 47.47182048979703, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2159.2784355752037, - "Diesel (Wh/pkm)": 3022.923463016009, - "All Fuels (Wh/pkm)": 2686.480578633228, - "Unlinked Passenger Trips": 297794, + "Gasoline (Wh/pkm)": 2702.368468430192, + "Diesel (Wh/pkm)": 5845.181777369756, + "All Fuels (Wh/pkm)": 4194.319160779432, + "Unlinked Passenger Trips": 640053, "Passenger Paid Fares": 212542.0, - "Average Fare": 0.7137215659146927 + "Average Fare": 0.332069375504841, + "Average Passengers": 1.5610742759860856 }, { "NTD ID": 10064, @@ -1646,39 +1748,42 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100, + "Gasoline (Wh/pkm)": 577.2158719995901, + "Diesel (Wh/pkm)": 5550.261776669239, + "Electric (Wh/pkm)": 136.30619260192304, + "All Fuels (Wh/pkm)": 3848.526926001939, + "Unlinked Passenger Trips": 834840, "Passenger Paid Fares": 401762.0, - "Average Fare": 1.0479608738180632 + "Average Fare": 0.4812443102870011, + "Average Passengers": 1.52977462230921 }, { "NTD ID": 10066, "Mode": "CB", "UACE Code": "11755", - "Gasoline (%)": 73.4427481383625, - "Diesel (%)": 26.557251861637504, + "Gasoline (%)": 79.63928543474204, + "Diesel (%)": 20.360714565257965, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 61.7891442016049, - "Diesel (Wh/pkm)": 698.0206416417286, - "All Fuels (Wh/pkm)": 230.7547453998463, - "Unlinked Passenger Trips": 82400 + "Gasoline (Wh/pkm)": 118.68371561277874, + "Diesel (Wh/pkm)": 2164.3556765726644, + "All Fuels (Wh/pkm)": 535.1971445253364, + "Unlinked Passenger Trips": 185549, + "Average Passengers": 3.571337628783273 }, { "NTD ID": 10066, @@ -1686,23 +1791,25 @@ "UACE Code": "11755", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2618.985049244282, - "All Fuels (Wh/pkm)": 2618.985049244282, - "Unlinked Passenger Trips": 145434 + "Gasoline (Wh/pkm)": 5296.735815944778, + "All Fuels (Wh/pkm)": 5296.735815944778, + "Unlinked Passenger Trips": 294397, + "Average Passengers": 0.8488445815782241 }, { "NTD ID": 10066, "Mode": "MB", "UACE Code": "11755", - "Gasoline (%)": 16.026712430980453, - "Diesel (%)": 82.2190717803313, - "Electric (%)": 1.7542157886882552, + "Gasoline (%)": 15.611990508843586, + "Diesel (%)": 83.62622505757102, + "Electric (%)": 0.7617844335854036, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 961.7976057441819, - "Diesel (Wh/pkm)": 1338.6294593839373, - "Electric (Wh/pkm)": 323.50642132632885, - "All Fuels (Wh/pkm)": 1260.428253244542, - "Unlinked Passenger Trips": 1828724 + "Gasoline (Wh/pkm)": 1475.239283553257, + "Diesel (Wh/pkm)": 2163.675809267478, + "Electric (Wh/pkm)": 992.5772630383465, + "All Fuels 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"All Fuels (%)": 100, + "Diesel (Wh/pkm)": 2881.969985549871, + "All Fuels (Wh/pkm)": 2881.969985549871, + "Unlinked Passenger Trips": 445657, "Passenger Paid Fares": 31886.0, - "Average Fare": 0.2123454159202456 + "Average Fare": 0.07154829835501293, + "Average Passengers": 5.834632885422784 }, { "NTD ID": 10102, "Mode": "CR", "UACE Code": "37243", - "Diesel (%)": 68.9993286536995, - "Electric (%)": 31.000671346300525, + "Electric (%)": 99.1736228636303, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2994.509918500449, - "Electric (Wh/pkm)": 303.3973796823152, - "All Fuels (Wh/pkm)": 2160.246964782356, - "Unlinked Passenger Trips": 163456, + "Electric (Wh/pkm)": 171.6188872076671, + "All Fuels (Wh/pkm)": 984.9621117400134, + "Unlinked Passenger Trips": 363103, "Passenger Paid Fares": 879923.0, - "Average Fare": 5.383240749804228 + "Average Fare": 2.423342687887459, + "Average Passengers": 13.957800179606837 }, { "NTD ID": 10105, @@ -1836,33 +1953,40 @@ "UACE Code": "05167", "Gasoline 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Paid Fares": 408557.0, - "Average Fare": 0.9087162309440878 + "Average Fare": 0.40620224558235907, + "Average Passengers": 4.058901487392829 }, { "NTD ID": 10107, "Mode": "DR", "UACE Code": "10162", - "Unlinked Passenger Trips": 13717, + "Gasoline (%)": 100.0, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 12373.023010363393, + "All Fuels (Wh/pkm)": 12373.023010363393, + "Unlinked Passenger Trips": 27666, "Passenger Paid Fares": 27388.0, - "Average Fare": 1.9966464970474593 + "Average Fare": 0.9899515650979541, + "Average Passengers": 0.48756441266168893 }, { "NTD ID": 10107, @@ -1870,11 +1994,12 @@ "UACE Code": "10162", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1427.0115663015704, - "All Fuels (Wh/pkm)": 1427.0115663015704, - "Unlinked Passenger Trips": 178739, + "Diesel (Wh/pkm)": 2477.6570591856407, + "All Fuels (Wh/pkm)": 2477.6570591856407, + "Unlinked Passenger Trips": 434882, "Passenger Paid Fares": 91938.0, - "Average Fare": 0.5143701150840052 + "Average Fare": 0.2114090718861668, + "Average Passengers": 3.7757719035549173 }, { "NTD ID": 10118, @@ -1882,33 +2007,32 @@ "UACE Code": "09271", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3682.9950198354622, - "All Fuels (Wh/pkm)": 3682.9950198354622, - "Unlinked Passenger Trips": 119022, + "Gasoline (Wh/pkm)": 3901.9178696416157, + "All Fuels (Wh/pkm)": 3901.9178696416157, + "Unlinked Passenger Trips": 270613, "Passenger Paid Fares": 746.0, - "Average Fare": 0.006267748819545966 + "Average Fare": 0.002756704223374339, + "Average Passengers": 0.8536604722441415 }, { "NTD ID": 10118, "Mode": "MB", "UACE Code": "09271", - "CNG (%)": 93.96079428795298, + "CNG (%)": 95.98250000501261, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 641.2553418122816, - "All Fuels (Wh/pkm)": 922.6321425313396, - "Unlinked Passenger Trips": 219304 + "CNG (Wh/pkm)": 1099.969199322011, + "All Fuels (Wh/pkm)": 1498.1368192455495, + "Unlinked Passenger Trips": 547489, + "Average Passengers": 1.3086543682925063 }, { "NTD ID": 10128, "Mode": "DR", "UACE Code": "92485", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3779.623139542436, - "All Fuels (Wh/pkm)": 3779.623139542436, - "Unlinked Passenger Trips": 81790, + "Unlinked Passenger Trips": 166059, "Passenger Paid Fares": 97342.0, - "Average Fare": 1.1901454945592371 + "Average Fare": 0.5861892459908827, + "Average Passengers": 0.7332645656409604 }, { "NTD ID": 10128, @@ -1916,11 +2040,12 @@ "UACE Code": "92485", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2245.6916839457854, - "All Fuels (Wh/pkm)": 2245.6916839457854, - "Unlinked Passenger Trips": 1458862, + "Diesel (Wh/pkm)": 3138.473691380571, + "All Fuels (Wh/pkm)": 3138.473691380571, + "Unlinked Passenger Trips": 3411567, "Passenger Paid Fares": 703312.0, - "Average Fare": 0.48209631891159 + "Average Fare": 0.20615511874748466, + "Average Passengers": 4.011032411845041 }, { "NTD ID": 10130, @@ -1928,11 +2053,12 @@ "UACE Code": "37243", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2310.529606396928, - "All Fuels (Wh/pkm)": 2310.529606396928, - "Unlinked Passenger Trips": 399775, + "Diesel (Wh/pkm)": 4226.036476613435, + "All Fuels (Wh/pkm)": 4226.036476613435, + "Unlinked Passenger Trips": 839121, "Passenger Paid Fares": 66302.0, - "Average Fare": 0.1658482896629354 + "Average Fare": 0.0790136345056315, + "Average Passengers": 2.3942500258027817 }, { "NTD ID": 10183, @@ -1940,23 +2066,27 @@ "UACE Code": "05167", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2193.273634157278, - "All Fuels (Wh/pkm)": 2193.273634157278, - "Unlinked Passenger Trips": 2903528, + "Diesel (Wh/pkm)": 4438.964607877317, + "All Fuels (Wh/pkm)": 4438.964607877317, + "Unlinked Passenger Trips": 5825372, "Passenger Paid Fares": 33424462.0, - "Average Fare": 11.511672007295951 + "Average Fare": 5.737738637120514, + "Average Passengers": 99.00945430328348 }, { "NTD ID": 10183, "Mode": "MB", "UACE Code": "05167", - "Gasoline (%)": 11.99055456425826, - "Diesel (%)": 88.00944543574175, + "Gasoline (%)": 5.341586210606592, + "Diesel (%)": 85.85207476954916, + "Electric (%)": 8.806339019844247, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 435.39992595233645, - "Diesel (Wh/pkm)": 324.9672756711384, - "All Fuels (Wh/pkm)": 338.20876285986196, - "Unlinked Passenger Trips": 853146 + "Gasoline (Wh/pkm)": 1795.7354642724117, + "Diesel (Wh/pkm)": 600.2278621473487, + "Electric (Wh/pkm)": 62.12756409349054, + "All Fuels (Wh/pkm)": 616.6999948557994, + "Unlinked Passenger Trips": 1791566, + "Average Passengers": 13.9228668544908 }, { "NTD ID": 11147, @@ -1964,23 +2094,12 @@ "UACE Code": "72505", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3716.5733298558725, - "All Fuels (Wh/pkm)": 3716.5733298558725, - "Unlinked Passenger Trips": 32316, + "Diesel (Wh/pkm)": 6635.4619558928, + "All Fuels (Wh/pkm)": 6635.4619558928, + "Unlinked Passenger Trips": 67137, "Passenger Paid Fares": 328308.0, - "Average Fare": 10.159301893798737 - }, - { - "NTD ID": 11238, - "Mode": "FB", - "UACE Code": "09271", - "Diesel (%)": 100.0, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1232.214790213644, - "All Fuels (Wh/pkm)": 1232.214790213644, - "Unlinked Passenger Trips": 96707, - "Passenger Paid Fares": 6287351.0, - "Average Fare": 65.01443535628238 + "Average Fare": 4.890120201975066, + "Average Passengers": 40.75630291517155 }, { "NTD ID": 11239, @@ -1988,11 +2107,12 @@ "UACE Code": "05167", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1468.3203108779699, - "All Fuels (Wh/pkm)": 1468.3203108779699, - "Unlinked Passenger Trips": 770496, + "Diesel (Wh/pkm)": 2777.417029673875, + "All Fuels (Wh/pkm)": 2777.417029673875, + "Unlinked Passenger Trips": 1662395, "Passenger Paid Fares": 25972659.0, - "Average Fare": 33.70901211687017 + "Average Fare": 15.623638786209053, + "Average Passengers": 131.16939607852058 }, { "NTD ID": 20002, @@ -2000,27 +2120,38 @@ "UACE Code": "00970", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4098.255521579464, - "All Fuels (Wh/pkm)": 4098.255521579464, - "Unlinked Passenger Trips": 288401, + "Gasoline (Wh/pkm)": 6046.490175332749, + "All Fuels (Wh/pkm)": 6046.490175332749, + "Unlinked Passenger Trips": 640685, "Passenger Paid Fares": 793988.0, - "Average Fare": 2.753069510854678 + "Average Fare": 1.2392798333034174, + "Average Passengers": 0.8599147389349023 }, { "NTD ID": 20002, "Mode": "MB", "UACE Code": "00970", - "Gasoline (%)": 1.1695495746812097, - "Diesel (%)": 97.70480102572971, - "Electric (%)": 1.125649399589089, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 768.8815811136077, - "Diesel (Wh/pkm)": 1305.5999658317812, - "Electric (Wh/pkm)": 39.745417582304356, - "All Fuels (Wh/pkm)": 1285.0736941240325, - "Unlinked Passenger Trips": 11175975, + "Gasoline (%)": 0.5164721342602606, + "Diesel (%)": 98.22163723400922, + "Electric (%)": 1.2618906317305092, + "All Fuels (%)": 100, 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2.204282178217822 + "Average Fare": 1.0127715228022292, + "Average Passengers": 0.7993741839243343 }, { "NTD ID": 20003, @@ -2040,27 +2172,29 @@ "UACE Code": "07732", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1429.283865270385, - "All Fuels (Wh/pkm)": 1429.283865270385, - "Unlinked Passenger Trips": 1189341, + "Diesel (Wh/pkm)": 2574.7175620357953, + "All Fuels (Wh/pkm)": 2574.7175620357953, + "Unlinked Passenger Trips": 2649224, "Passenger Paid Fares": 910535.0, - "Average Fare": 0.7655794259173778 + "Average Fare": 0.3436987585798709, + "Average Passengers": 3.6772224153073454 }, { "NTD ID": 20004, "Mode": "DR", "UACE Code": "11350", - "Gasoline (%)": 84.9578719633566, - "Diesel (%)": 5.491228899521338, - "CNG (%)": 9.550899137122059, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2232.2451809700406, - "Diesel (Wh/pkm)": 3083.9079485826787, - "CNG (Wh/pkm)": 506.39017394927396, - "All Fuels (Wh/pkm)": 2114.1772620181255, - "Unlinked Passenger Trips": 201299, + "Gasoline (%)": 86.88808823529412, + "Diesel (%)": 2.3227450980392157, + "CNG (%)": 10.789166666666668, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 4323.191967850101, + "Diesel (Wh/pkm)": 12344.567133462042, + "CNG (Wh/pkm)": 1037.422676373349, + "All Fuels (Wh/pkm)": 4155.000941165107, + "Unlinked Passenger Trips": 420467, "Passenger Paid Fares": 593808.0, - "Average Fare": 2.9498805259837355 + "Average Fare": 1.412258274727862, + "Average Passengers": 1.124501785508582 }, { "NTD ID": 20004, @@ -2068,25 +2202,29 @@ "UACE Code": "11350", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 356.70033118225894, - "All Fuels (Wh/pkm)": 356.70033118225894, - "Unlinked Passenger Trips": 2076436, + "Electric (Wh/pkm)": 664.2023490577374, + "All Fuels (Wh/pkm)": 664.2023490577374, + "Unlinked Passenger Trips": 4554617, "Passenger Paid Fares": 986527.0, - "Average Fare": 0.4751059026139019 + "Average Fare": 0.21659933206238857, + "Average Passengers": 18.830609046126288 }, { "NTD ID": 20004, "Mode": "MB", "UACE Code": "11350", - "Diesel (%)": 64.73699869528849, - "CNG (%)": 35.26300130471151, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1130.2862806761505, - "CNG (Wh/pkm)": 452.79215894925215, - "All Fuels (Wh/pkm)": 891.3815196922505, - "Unlinked Passenger Trips": 10879705, + "Diesel (%)": 62.61175217604511, + "CNG (%)": 37.310668750766204, + "Electric (%)": 0.0775790731886723, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 2309.7860783429473, + "CNG (Wh/pkm)": 869.0583394213755, + "Electric (Wh/pkm)": 231.91370459663142, + "All Fuels (Wh/pkm)": 1770.6289299439197, + "Unlinked Passenger Trips": 22713572, "Passenger Paid Fares": 9746592.0, - "Average Fare": 0.8958507606594113 + "Average Fare": 0.42910872847300285, + "Average Passengers": 4.165184688149971 }, { "NTD ID": 20006, @@ -2094,19 +2232,21 @@ "UACE Code": "63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1925.815634987885, - "All Fuels (Wh/pkm)": 1925.815634987885, - "Unlinked Passenger Trips": 3948, + "Gasoline (Wh/pkm)": 3279.784419774461, + "All Fuels (Wh/pkm)": 3279.784419774461, + "Unlinked Passenger Trips": 7867, "Passenger Paid Fares": 3948.0, - "Average Fare": 1.0 + "Average Fare": 0.5018431422397356, + "Average Passengers": 0.9082684620239848 }, { "NTD ID": 20006, "Mode": "MB", "UACE Code": "63217", - "Unlinked Passenger Trips": 87685, + "Unlinked Passenger Trips": 181289, "Passenger Paid Fares": 198350.0, - "Average Fare": 2.2620744711182073 + "Average Fare": 1.094109405424488, + "Average Passengers": 1.1321149219432727 }, { "NTD ID": 20008, @@ -2114,25 +2254,27 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 743.4090354068343, - "All Fuels (Wh/pkm)": 743.4090354068343, - "Unlinked Passenger Trips": 8045660, + "Diesel (Wh/pkm)": 1375.101924437695, + "All Fuels (Wh/pkm)": 1375.101924437695, + "Unlinked Passenger Trips": 17041028, "Passenger Paid Fares": 49729810.0, - "Average Fare": 6.180948486513226 + "Average Fare": 2.9182400263646064, + "Average Passengers": 7.880084769907392 }, { "NTD ID": 20008, "Mode": "DR", "UACE Code": "63217", - "Gasoline (%)": 99.14162328879826, - "Diesel (%)": 0.8583767112017455, + "Gasoline (%)": 99.33122806459477, + "Diesel (%)": 0.6687719354052429, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3035.8043918462204, - "Diesel (Wh/pkm)": 2209.3903987532267, - "All Fuels (Wh/pkm)": 3028.710646591398, - "Unlinked Passenger Trips": 2484579, + "Gasoline (Wh/pkm)": 6918.3175535464825, + "Diesel (Wh/pkm)": 6242.314195764468, + "All Fuels (Wh/pkm)": 6913.79663280724, + "Unlinked Passenger Trips": 5201142, "Passenger Paid Fares": 4728186.0, - "Average Fare": 1.903012945050248 + "Average Fare": 0.9090668933861064, + "Average Passengers": 0.8623286404558149 }, { "NTD ID": 20008, @@ -2140,27 +2282,29 @@ "UACE Code": "63217", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 14.867297020740105, - "All Fuels (Wh/pkm)": 14.867297020740105, - "Unlinked Passenger Trips": 1788363060, + "Electric (Wh/pkm)": 27.555021594918067, + "All Fuels (Wh/pkm)": 27.555021594918067, + "Unlinked Passenger Trips": 3806244763, "Passenger Paid Fares": 2326782567.0, - "Average Fare": 1.3010683451491107 + "Average Fare": 0.6113066058227112, + "Average Passengers": 195.15664142650434 }, { "NTD ID": 20008, "Mode": "MB", "UACE Code": "63217", - "Diesel (%)": 86.97378040808492, - "CNG (%)": 12.891824391911197, - "Electric (%)": 0.13439520000388186, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 599.5282264945967, - "CNG (Wh/pkm)": 192.09469993764682, - "Electric (Wh/pkm)": 271.9668109308468, - "All Fuels (Wh/pkm)": 546.5623849175214, - "Unlinked Passenger Trips": 458602306, + "Diesel (%)": 87.50582163529634, + "CNG (%)": 12.394690863919562, + "Electric (%)": 0.09948750078409624, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1049.1550134677695, + "CNG (Wh/pkm)": 335.5948731258968, + "Electric (Wh/pkm)": 632.335017550239, + "All 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1443.236920417356, + "All Fuels (Wh/pkm)": 1443.236920417356, + "Unlinked Passenger Trips": 47550, "Passenger Paid Fares": 54487.0, - "Average Fare": 2.2894659439472247 + "Average Fare": 1.1458885383806519, + "Average Passengers": 0.709939513293009 }, { "NTD ID": 20010, @@ -2192,33 +2338,36 @@ "UACE Code": "71803", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3378.250827478533, - "All Fuels (Wh/pkm)": 3378.250827478533, - "Unlinked Passenger Trips": 680015, + "Diesel (Wh/pkm)": 6469.227216203233, + "All Fuels (Wh/pkm)": 6469.227216203233, + "Unlinked Passenger Trips": 1484150, "Passenger Paid Fares": 730978.0, - "Average Fare": 1.074943935060256 + "Average Fare": 0.4925229929589327, + "Average Passengers": 3.05184742369596 }, { "NTD ID": 20018, "Mode": "DR", "UACE Code": "86302", - "Unlinked Passenger Trips": 144761, + "Unlinked Passenger Trips": 318910, "Passenger Paid Fares": 328188.0, - "Average Fare": 2.2671023272842823 + "Average Fare": 1.0290928475118373, + "Average Passengers": 0.5669202732178591 }, { "NTD ID": 20018, "Mode": "MB", "UACE Code": "86302", - "Diesel (%)": 30.13123003891667, - "CNG (%)": 69.86876996108333, + "Diesel (%)": 37.727226167974734, + "CNG (%)": 62.272773832025266, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1767.4176920313125, - "CNG (Wh/pkm)": 360.2480681648659, - "All Fuels (Wh/pkm)": 784.2455845698233, - "Unlinked Passenger Trips": 4906214, + "Diesel (Wh/pkm)": 2725.0571178509076, + "CNG (Wh/pkm)": 815.8589677733123, + "All Fuels (Wh/pkm)": 1536.1464718478765, + "Unlinked Passenger Trips": 11417350, "Passenger Paid Fares": 3239103.0, - "Average Fare": 0.6602041818803664 + "Average Fare": 0.2837000705067288, + "Average Passengers": 3.994949467511369 }, { "NTD ID": 20071, @@ -2226,19 +2375,21 @@ "UACE Code": "63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 685.8818132962446, - "All Fuels (Wh/pkm)": 685.8818132962446, - "Unlinked Passenger Trips": 34822, + "Gasoline (Wh/pkm)": 1444.461205262085, + "All Fuels (Wh/pkm)": 1444.461205262085, + "Unlinked Passenger Trips": 80462, "Passenger Paid Fares": 100961.0, - "Average Fare": 2.8993452415139855 + "Average Fare": 1.2547662250503344, + "Average Passengers": 0.9267312980394732 }, { "NTD ID": 20071, "Mode": "MB", "UACE Code": "63217", - "Unlinked Passenger Trips": 52494, + "Unlinked Passenger Trips": 101731, "Passenger Paid Fares": 57947.0, - "Average Fare": 1.1038785384996381 + "Average Fare": 0.569610050033913, + "Average Passengers": 0.6189128423786856 }, { "NTD ID": 20072, @@ -2246,25 +2397,27 @@ "UACE Code": "63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3426.602661372678, - "All Fuels (Wh/pkm)": 3426.602661372678, - "Unlinked Passenger Trips": 536175, + "Gasoline (Wh/pkm)": 6502.479980026386, + "All Fuels (Wh/pkm)": 6502.479980026386, + "Unlinked Passenger Trips": 1107926, "Passenger Paid Fares": 2009292.0, - "Average Fare": 3.747455588194153 + "Average Fare": 1.8135615555551543, + "Average Passengers": 0.7726989393985879 }, { "NTD ID": 20072, "Mode": "MB", "UACE Code": "63217", - "Gasoline (%)": 53.172713326619416, - "Diesel (%)": 46.82728667338058, + "Gasoline (%)": 53.95703716545736, + "Diesel (%)": 46.04296283454264, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 525.7893627590344, - "Diesel (Wh/pkm)": 3186.175249391326, - "All Fuels (Wh/pkm)": 1771.5758885104951, - "Unlinked Passenger Trips": 2405575, + "Gasoline (Wh/pkm)": 984.5825119821629, + "Diesel (Wh/pkm)": 6321.9939739853135, + "All Fuels (Wh/pkm)": 3442.0848877588924, + "Unlinked Passenger Trips": 4983787, "Passenger Paid Fares": 3449533.0, - "Average Fare": 1.4339744136017376 + "Average Fare": 0.6921509687312078, + "Average Passengers": 2.217670588267625 }, { "NTD ID": 20075, @@ -2272,11 +2425,12 @@ "UACE Code": "69076", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 105.15918006813887, - "All Fuels (Wh/pkm)": 105.15918006813887, - "Unlinked Passenger Trips": 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"All Fuels (%)": 100, - "Diesel (Wh/pkm)": 877.1567292910208, - "Electric (Wh/pkm)": 12.052645191362982, - "All Fuels (Wh/pkm)": 862.1961659701378, - "Unlinked Passenger Trips": 20586620, + "Diesel (Wh/pkm)": 1353.3896058806538, + "Electric (Wh/pkm)": 162.1227058839142, + "All Fuels (Wh/pkm)": 1340.378007632519, + "Unlinked Passenger Trips": 42226812, "Passenger Paid Fares": 21119004.0, - "Average Fare": 1.0258606803836667 + "Average Fare": 0.5001325697994914, + "Average Passengers": 8.542305835161418 }, { "NTD ID": 20078, "Mode": "CR", "UACE Code": "63217", - "Electric (%)": 95.14620135082001, - "Other (%)": 4.853798649180007, + "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 42.005315141424425, - "All Fuels (Wh/pkm)": 66.91833329973944, - "Unlinked Passenger Trips": 54517695, + "Electric (Wh/pkm)": 85.19005567631405, + "All Fuels (Wh/pkm)": 141.93156942546986, + "Unlinked Passenger Trips": 120883985, "Passenger Paid Fares": 448196125.0, - "Average Fare": 8.221112888209966 + "Average Fare": 3.707655112461754, + "Average Passengers": 109.64947214855081 }, { "NTD ID": 20078, "Mode": "FB", "UACE Code": "63217", - "Unlinked Passenger Trips": 70093, + "Unlinked Passenger Trips": 168000, "Passenger Paid Fares": 73528.0, - "Average Fare": 1.0490063201746251 + "Average Fare": 0.43766666666666665, + "Average Passengers": 7.20041624832664 }, { "NTD ID": 20078, "Mode": "MB", "UACE Code": "63217", - "Unlinked Passenger Trips": 151723, + "Unlinked Passenger Trips": 332811, "Passenger Paid Fares": 233948.0, - "Average Fare": 1.5419415645617343 + "Average Fare": 0.7029455156229812, + "Average Passengers": 0.6225203503143464 }, { "NTD ID": 20080, "Mode": "CR", "UACE Code": "63217", - "Diesel (%)": 18.588140503017847, - "Electric (%)": 69.04581641020322, - "Other (%)": 12.366043086778932, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 991.8587137498324, - "Electric (Wh/pkm)": 172.42725877309454, - "All Fuels (Wh/pkm)": 303.4218998368613, - "Unlinked Passenger Trips": 40054391, + "Diesel (%)": 21.78510876309481, + "Electric (%)": 78.2148912369052, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1896.1305500398148, + "Electric (Wh/pkm)": 350.4716673010953, + "All Fuels (Wh/pkm)": 687.1951360121614, + "Unlinked Passenger Trips": 93817904, "Passenger Paid Fares": 277787790.0, - "Average Fare": 6.935264350917231 + "Average Fare": 2.9609251342899325, + "Average Passengers": 129.77941451171466 }, { "NTD ID": 20080, @@ -2354,11 +2512,12 @@ "UACE Code": "63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4181.321874029929, - "All Fuels (Wh/pkm)": 4181.321874029929, - "Unlinked Passenger Trips": 1326652, + "Gasoline (Wh/pkm)": 8482.842574129072, + "All Fuels (Wh/pkm)": 8482.842574129072, + "Unlinked Passenger Trips": 2811798, "Passenger Paid Fares": 2642963.0, - "Average Fare": 1.992205190208133 + "Average Fare": 0.939954790493485, + "Average Passengers": 0.544904084412606 }, { "NTD ID": 20080, @@ -2366,25 +2525,29 @@ "UACE Code": "63217", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 248.84754911221194, - "All Fuels (Wh/pkm)": 248.84754911221194, - "Unlinked Passenger Trips": 14282708, + "Electric (Wh/pkm)": 472.7147107831419, + "All Fuels (Wh/pkm)": 472.7147107831419, + "Unlinked Passenger Trips": 31846404, "Passenger Paid Fares": 10401575.0, - "Average Fare": 0.7282635057721547 + "Average Fare": 0.32661693923119234, + "Average Passengers": 33.402540744829736 }, { "NTD ID": 20080, "Mode": "MB", "UACE Code": "63217", - "Diesel (%)": 93.71482388400916, - "CNG (%)": 6.285176115990837, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 730.5599163428698, - "CNG (Wh/pkm)": 149.50033310756803, - "All Fuels (Wh/pkm)": 694.0392981976887, - "Unlinked Passenger Trips": 102745130, + "Diesel (%)": 93.62378350904793, + "CNG (%)": 6.33579915227243, + "Electric (%)": 0.04041733867964141, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1337.7172275958092, + "CNG (Wh/pkm)": 278.7614341079434, + "Electric (Wh/pkm)": 184.95671025009145, + "All Fuels (Wh/pkm)": 1270.1580002866042, + "Unlinked Passenger Trips": 226566386, "Passenger Paid Fares": 248209778.0, - "Average Fare": 2.415781438984018 + "Average Fare": 1.09552781585173, + "Average Passengers": 7.901572406336975 }, { "NTD ID": 20080, @@ -2392,11 +2555,12 @@ "UACE Code": "63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 178.41201216214517, - "All Fuels (Wh/pkm)": 178.41201216214517, - "Unlinked Passenger Trips": 166362, + "Gasoline (Wh/pkm)": 374.8867733358367, + "All Fuels (Wh/pkm)": 374.8867733358367, + "Unlinked Passenger Trips": 365292, "Passenger Paid Fares": 700245.0, - "Average Fare": 4.209164352436254 + "Average Fare": 1.9169458953385237, + "Average Passengers": 6.701185862931525 }, { "NTD ID": 20080, @@ -2404,11 +2568,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 524.8961884146004, - "All Fuels (Wh/pkm)": 524.8961884146004, - "Unlinked Passenger Trips": 1712082, + "Diesel (Wh/pkm)": 1038.5791600764458, + "All Fuels (Wh/pkm)": 1038.5791600764458, + "Unlinked Passenger Trips": 3469674, "Passenger Paid Fares": 1032848.0, - "Average Fare": 0.6032701704708069 + "Average Fare": 0.2976786868161101, + "Average Passengers": 25.825177046866845 }, { "NTD ID": 20082, @@ -2416,9 +2581,10 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1864.6604803375049, - "All Fuels (Wh/pkm)": 1864.6604803375049, - "Unlinked Passenger Trips": 12118089 + "Diesel (Wh/pkm)": 3322.681142073972, + "All Fuels (Wh/pkm)": 3322.681142073972, + "Unlinked Passenger Trips": 26833452, + "Average Passengers": 356.73294490008794 }, { "NTD ID": 20084, @@ -2426,21 +2592,23 @@ "UACE Code": "63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3136.775711776586, - "All Fuels (Wh/pkm)": 3136.775711776586, - "Unlinked Passenger Trips": 52596 + "Gasoline (Wh/pkm)": 6167.820720599527, + "All Fuels (Wh/pkm)": 6167.820720599527, + "Unlinked Passenger Trips": 108020, + "Average Passengers": 0.7834169340580185 }, { "NTD ID": 20084, "Mode": "MB", "UACE Code": "63217", - "Gasoline (%)": 5.209026042661762, - "Diesel (%)": 94.79097395733824, + "Gasoline (%)": 3.3170021486177044, + "Diesel (%)": 96.6829978513823, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 812.6146370392325, - "Diesel (Wh/pkm)": 1190.995109961347, - "All Fuels (Wh/pkm)": 1171.2851725864873, - "Unlinked Passenger Trips": 1165925 + "Gasoline (Wh/pkm)": 2274.601779522457, + "Diesel (Wh/pkm)": 2474.8202418893097, + "All Fuels (Wh/pkm)": 2468.178991190672, + "Unlinked Passenger Trips": 2495984, + "Average Passengers": 3.7713070812461362 }, { "NTD ID": 20096, @@ -2448,11 +2616,12 @@ "UACE Code": "63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2981.381729789963, - "All Fuels (Wh/pkm)": 2981.381729789963, - "Unlinked Passenger Trips": 10199, + "Gasoline (Wh/pkm)": 5379.985715468975, + "All Fuels 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63.123020212512856, + "All Fuels (Wh/pkm)": 63.123020212512856, + "Unlinked Passenger Trips": 101697903, "Passenger Paid Fares": 113506101.0, - "Average Fare": 2.4363260906647084 + "Average Fare": 1.1161105357305154, + "Average Passengers": 145.43541408171356 }, { "NTD ID": 20099, @@ -2484,26 +2655,27 @@ "UACE Code": "63217", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 163.4881992023885, - "All Fuels (Wh/pkm)": 163.4881992023885, - "Unlinked Passenger Trips": 3757728, + "Electric (Wh/pkm)": 275.0365010489237, + "All Fuels (Wh/pkm)": 275.0365010489237, + "Unlinked Passenger Trips": 8952327, "Passenger Paid Fares": 3338110.0, - "Average Fare": 0.8883319920973525 + "Average Fare": 0.3728762365360425, + "Average Passengers": 39.67138012001043 }, { "NTD ID": 20100, "Mode": "CR", "UACE Code": "63217", - "Diesel (%)": 1.519502395067343, - "Electric (%)": 97.15093223571313, - "Other (%)": 1.3295653692195268, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 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"Average Fare": 0.4560561396948193, + "Average Passengers": 0.7977271170684819 }, { "NTD ID": 20113, "Mode": "MB", "UACE Code": "75664", - "Diesel (%)": 96.06131589877677, - "Electric (%)": 3.9386841012232416, + "Diesel (%)": 95.59339665771091, + "Electric (%)": 4.406603342289088, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1196.3518697390045, - "Electric (Wh/pkm)": 227.59920543474607, - "All Fuels (Wh/pkm)": 1158.1957625698763, - "Unlinked Passenger Trips": 7403189, + "Diesel (Wh/pkm)": 2462.549502236793, + "Electric (Wh/pkm)": 574.4721574196501, + "All Fuels (Wh/pkm)": 2379.349422855078, + "Unlinked Passenger Trips": 16165129, "Passenger Paid Fares": 12461768.0, - "Average Fare": 1.6832972925586527 + "Average Fare": 0.7709043336431154, + "Average Passengers": 4.76496673078075 }, { "NTD ID": 20113, @@ -2537,11 +2711,12 @@ "UACE Code": "75664", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 186.70668412060198, - "All Fuels (Wh/pkm)": 186.70668412060198, - "Unlinked Passenger Trips": 4149, + "Gasoline (Wh/pkm)": 630.3984645656457, + "All Fuels (Wh/pkm)": 630.3984645656457, + "Unlinked Passenger Trips": 7393, "Passenger Paid Fares": 43103.0, - "Average Fare": 10.388768377922391 + "Average Fare": 5.8302448261869335, + "Average Passengers": 2.3739596356492227 }, { "NTD ID": 20122, @@ -2549,11 +2724,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 339.1276908317817, - "All Fuels (Wh/pkm)": 339.1276908317817, - "Unlinked Passenger Trips": 940697, + "Diesel (Wh/pkm)": 619.2738844716816, + "All Fuels (Wh/pkm)": 619.2738844716816, + "Unlinked Passenger Trips": 2004862, "Passenger Paid Fares": 13682548.0, - "Average Fare": 14.545117078081464 + "Average Fare": 6.824683195152584, + "Average Passengers": 14.705344062145912 }, { "NTD ID": 20126, @@ -2561,11 +2737,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 224.7417727710819, - "All Fuels (Wh/pkm)": 224.7417727710819, - "Unlinked Passenger Trips": 1571923, + "Diesel (Wh/pkm)": 527.4579443103155, + "All Fuels (Wh/pkm)": 527.4579443103155, + "Unlinked Passenger Trips": 3404712, "Passenger Paid Fares": 18751919.0, - "Average Fare": 11.929285976475947 + "Average Fare": 5.5076373566985986, + "Average Passengers": 19.594177751017643 }, { "NTD ID": 20128, @@ -2573,11 +2750,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 335.32876770811697, - "All Fuels (Wh/pkm)": 335.32876770811697, - "Unlinked Passenger Trips": 634497, + "Diesel (Wh/pkm)": 504.80495325357555, + "All Fuels (Wh/pkm)": 504.80495325357555, + "Unlinked Passenger Trips": 1398146, "Passenger Paid Fares": 8013254.0, - "Average Fare": 12.629301635783936 + "Average Fare": 5.731342792526674, + "Average Passengers": 16.70893971938467 }, { "NTD ID": 20135, @@ -2585,25 +2763,29 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 355.0053895034467, - "All Fuels (Wh/pkm)": 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"Passenger Paid Fares": 674591.0, - "Average Fare": 0.2695304290569346 + "Average Fare": 0.14376222186988002, + "Average Passengers": 7.833854143987293 }, { "NTD ID": 20149, @@ -2611,23 +2793,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 864.4788366632582, - "All Fuels (Wh/pkm)": 864.4788366632582, - "Unlinked Passenger Trips": 335588, + "Diesel (Wh/pkm)": 1630.152321213209, + "All Fuels (Wh/pkm)": 1630.152321213209, + "Unlinked Passenger Trips": 758957, "Passenger Paid Fares": 3327921.0, - "Average Fare": 9.916686532295554 - }, - { - "NTD ID": 20161, - "Mode": "CB", - "UACE Code": "63217", - "Diesel (%)": 100.0, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 562.7274550162687, - "All Fuels (Wh/pkm)": 562.7274550162687, - "Unlinked Passenger Trips": 304103, - "Passenger Paid Fares": 2578983.0, - "Average Fare": 8.48062334143366 + "Average Fare": 4.38486106591019, + "Average Passengers": 5.413346088340568 }, { "NTD ID": 20163, @@ -2635,11 +2806,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 368.3559116049966, - "All Fuels (Wh/pkm)": 368.3559116049966, - "Unlinked Passenger Trips": 565361, + "Diesel (Wh/pkm)": 616.1255546587232, + "All Fuels (Wh/pkm)": 616.1255546587232, + "Unlinked Passenger Trips": 1307639, "Passenger Paid Fares": 6213811.0, - "Average Fare": 10.990873088168444 + "Average Fare": 4.751931534620794, + "Average Passengers": 20.228224588837964 }, { "NTD ID": 20166, @@ -2647,11 +2819,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 790.5867559575515, - "All Fuels (Wh/pkm)": 790.5867559575515, - "Unlinked Passenger Trips": 2678767, + "Diesel (Wh/pkm)": 2029.1945990410075, + "All Fuels (Wh/pkm)": 2029.1945990410075, + "Unlinked Passenger Trips": 4371249, "Passenger Paid Fares": 4894714.0, - "Average Fare": 1.8272264814371686 + "Average Fare": 1.1197518146415362, + "Average Passengers": 7.220487955909741 }, { "NTD ID": 20169, @@ -2659,11 +2832,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 199.14174480622964, - "All Fuels (Wh/pkm)": 199.14174480622964, - "Unlinked Passenger Trips": 403646, + "Diesel (Wh/pkm)": 362.55080219649045, + "All Fuels (Wh/pkm)": 362.55080219649045, + "Unlinked Passenger Trips": 819247, "Passenger Paid Fares": 11325199.0, - "Average Fare": 28.057255615068648 + "Average Fare": 13.823912690556083, + "Average Passengers": 20.29496985182553 }, { "NTD ID": 20177, @@ -2671,47 +2845,59 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 95.83936550600465, - "All Fuels (Wh/pkm)": 95.83936550600465, - "Unlinked Passenger Trips": 298376, + "Diesel (Wh/pkm)": 158.52829773777162, + "All Fuels (Wh/pkm)": 158.52829773777162, + "Unlinked Passenger Trips": 661121, "Passenger Paid Fares": 5672116.0, - "Average Fare": 19.009960586642357 + "Average Fare": 8.579542927845281, + "Average Passengers": 18.964783018355863 }, { "NTD ID": 20178, "Mode": "DR", "UACE Code": "71803", - "Unlinked Passenger Trips": 6743, + "Gasoline (%)": 95.17339296002633, + "Electric (%)": 4.826607039973661, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 11250.223197301453, + "Electric (Wh/pkm)": 7.358842430259875, + "All Fuels (Wh/pkm)": 10707.574314854548, + "Unlinked Passenger Trips": 16656, "Passenger Paid Fares": 34846.0, - "Average Fare": 5.167729497256414 + "Average Fare": 2.092098943323727, + "Average Passengers": 0.5279667858378504 }, { "NTD ID": 20178, "Mode": "MB", "UACE Code": "71803", - "Diesel (%)": 78.3734788805187, - "Electric (%)": 6.537485708916072, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3013.324488315978, - "Electric (Wh/pkm)": 964.5955809783137, - "All Fuels (Wh/pkm)": 3374.399397438092, - "Unlinked Passenger Trips": 287045, + "Gasoline (%)": 27.245550867737258, + "Diesel (%)": 67.8613766197429, + "Electric (%)": 4.89307251251984, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2498.4240711463353, + "Diesel (Wh/pkm)": 2401.5519896598043, + "Electric (Wh/pkm)": 844.0398255682047, + "All Fuels (Wh/pkm)": 2351.7351223175338, + "Unlinked Passenger Trips": 707879, "Passenger Paid Fares": 161395.0, - "Average Fare": 0.5622637565538504 + "Average Fare": 0.2279980053088169, + "Average Passengers": 2.516404884491581 }, { "NTD ID": 20188, "Mode": "MB", "UACE Code": "63217", - "Diesel (%)": 80.8182132641736, - "CNG (%)": 19.181786735826407, + "Diesel (%)": 83.90051483986551, + "CNG (%)": 16.099485160134495, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1204.1776388334447, - "CNG (Wh/pkm)": 140.07569477587413, - "All Fuels (Wh/pkm)": 1000.0638732725388, - "Unlinked Passenger Trips": 100411771, + "Diesel (Wh/pkm)": 1711.4617385875304, + "CNG (Wh/pkm)": 346.5495757608237, + "All Fuels (Wh/pkm)": 1491.7179074843743, + "Unlinked Passenger Trips": 219983565, "Passenger Paid Fares": 163430063.0, - "Average Fare": 1.62759865075978 + "Average Fare": 0.7429194221850164, + "Average 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"63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1803.965102887626, - "All Fuels (Wh/pkm)": 1803.965102887626, - "Unlinked Passenger Trips": 98857 + "Gasoline (Wh/pkm)": 3316.5279617373044, + "All Fuels (Wh/pkm)": 3316.5279617373044, + "Unlinked Passenger Trips": 230741, + "Average Passengers": 1.6490327746840154 }, { "NTD ID": 20192, @@ -2751,86 +2940,92 @@ "UACE Code": "63217", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1705.1636833201394, - "All Fuels (Wh/pkm)": 1705.1636833201394, - "Unlinked Passenger Trips": 8606 + "Gasoline (Wh/pkm)": 2846.078245108502, + "All Fuels (Wh/pkm)": 2846.078245108502, + "Unlinked Passenger Trips": 16674, + "Average Passengers": 2.1249455003471827 }, { "NTD ID": 20199, "Mode": "DR", "UACE Code": "03904", - "Gasoline (%)": 95.65736303746213, - "Diesel (%)": 4.342636962537857, + "Gasoline (%)": 95.35961168241268, + "Diesel (%)": 4.640388317587334, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 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99.94463568930463, + "Electric (%)": 0.01564264730996695, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 4086.4388810994797, + "CNG (Wh/pkm)": 289.9155362753837, + "Electric (Wh/pkm)": 143.00500657654965, + "All Fuels (Wh/pkm)": 293.5538641724209, + "Unlinked Passenger Trips": 37703814, "Passenger Paid Fares": 27082211.0, - "Average Fare": 1.5292986710813183 + "Average Fare": 0.7182883673253851, + "Average Passengers": 10.777327699045872 }, { "NTD ID": 20209, "Mode": "DR", "UACE Code": "63217", - "Gasoline (%)": 98.75099742743517, - "Diesel (%)": 1.2490025725648408, + "Gasoline (%)": 99.8066138557821, + "Diesel (%)": 0.19338614421790326, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2741.941146707486, - "All Fuels (Wh/pkm)": 2707.6942312468955, - "Unlinked Passenger Trips": 78752, + "Gasoline (Wh/pkm)": 5243.784338104976, + "Diesel (Wh/pkm)": 2746.0566729439915, + "All Fuels (Wh/pkm)": 5238.954078880258, + "Unlinked Passenger Trips": 244559, "Passenger Paid Fares": 63450.0, - "Average 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20.37033800525828, + "Average Passengers": 19.842654534742586 }, { "NTD ID": 20223, @@ -2850,11 +3046,12 @@ "UACE Code": "03904", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1689.1625804550392, - "All Fuels (Wh/pkm)": 1689.1625804550392, - "Unlinked Passenger Trips": 721923, + "Diesel (Wh/pkm)": 3366.578347431565, + "All Fuels (Wh/pkm)": 3366.578347431565, + "Unlinked Passenger Trips": 1467119, "Passenger Paid Fares": 6663334.0, - "Average Fare": 9.229978820455921 + "Average Fare": 4.5417815460095605, + "Average Passengers": 170.77993384785006 }, { "NTD ID": 20226, @@ -2862,23 +3059,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2673.1304508775747, - "All Fuels (Wh/pkm)": 2673.1304508775747, - "Unlinked Passenger Trips": 750392, + "Diesel (Wh/pkm)": 4576.836585691654, + "All Fuels (Wh/pkm)": 4576.836585691654, + "Unlinked Passenger Trips": 1942743, "Passenger Paid Fares": 16492275.0, - "Average Fare": 21.97821272081792 - }, - { - "NTD ID": 20228, - "Mode": "VP", - "UACE Code": "86302", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 178.1706912331123, - "All Fuels (Wh/pkm)": 178.1706912331123, - "Unlinked Passenger Trips": 858, - "Passenger Paid Fares": 3508.0, - "Average Fare": 4.088578088578089 + "Average Fare": 8.48916969460191, + "Average Passengers": 100.55326294709559 }, { "NTD ID": 22930, @@ -2886,11 +3072,12 @@ "UACE Code": "63217", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3801.0146609901844, - "All Fuels (Wh/pkm)": 3801.0146609901844, - "Unlinked Passenger Trips": 5373392, + "Diesel (Wh/pkm)": 6264.269360616119, + "All Fuels (Wh/pkm)": 6264.269360616119, + "Unlinked Passenger Trips": 11966534, "Passenger Paid Fares": 13739917.0, - "Average Fare": 2.5570285957175654 + "Average Fare": 1.1481952084037033, + "Average Passengers": 27.629194731255428 }, { "NTD ID": 30001, @@ -2898,25 +3085,27 @@ "UACE Code": "15481", "Gasoline (%)": 100.0, "All Fuels 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"Average Fare": 1.0972370402433747 + "Average Fare": 0.5334770945415203, + "Average Passengers": 2.32095185069665 }, { "NTD ID": 30002, @@ -2924,11 +3113,12 @@ "UACE Code": "40753", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3025.882629034916, - "All Fuels (Wh/pkm)": 3025.882629034916, - "Unlinked Passenger Trips": 44684, + "Gasoline (Wh/pkm)": 5972.560942972301, + "All Fuels (Wh/pkm)": 5972.560942972301, + "Unlinked Passenger Trips": 96628, "Passenger Paid Fares": 61227.0, - "Average Fare": 1.370222003401665 + "Average Fare": 0.633636213105932, + "Average Passengers": 1.061691287639071 }, { "NTD ID": 30002, @@ -2936,11 +3126,12 @@ "UACE Code": "40753", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1212.3555939054322, - "All Fuels (Wh/pkm)": 1212.3555939054322, - "Unlinked Passenger Trips": 627771, + "Diesel (Wh/pkm)": 2233.935673243133, + "All Fuels (Wh/pkm)": 2233.935673243133, + "Unlinked Passenger Trips": 1307307, "Passenger Paid Fares": 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ID": 30008, @@ -3014,11 +3211,12 @@ "UACE Code": "52201", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1715.1285232653058, - "All Fuels (Wh/pkm)": 1715.1285232653058, - "Unlinked Passenger Trips": 14941, + "Gasoline (Wh/pkm)": 6055.156324885546, + "All Fuels (Wh/pkm)": 6055.156324885546, + "Unlinked Passenger Trips": 32019, "Passenger Paid Fares": 31247.0, - "Average Fare": 2.091359346763938 + "Average Fare": 0.975889315718792, + "Average Passengers": 1.6786228131755088 }, { "NTD ID": 30008, @@ -3026,141 +3224,126 @@ "UACE Code": "52201", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2859.855550279404, - "All Fuels (Wh/pkm)": 2859.855550279404, - "Unlinked Passenger Trips": 431684, + "Diesel (Wh/pkm)": 4932.982108672098, + "All Fuels (Wh/pkm)": 4932.982108672098, + "Unlinked Passenger Trips": 934728, "Passenger Paid Fares": 404259.0, - "Average Fare": 0.9364697324895063 + "Average Fare": 0.43248838164685344, + "Average Passengers": 2.0471245530097177 }, { "NTD ID": 30010, "Mode": "DR", "UACE Code": "01495", - "Gasoline (%)": 94.23123993393256, + "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2084.9564005883744, - "All Fuels (Wh/pkm)": 2335.788433684517, - "Unlinked Passenger Trips": 183493, + "Gasoline (Wh/pkm)": 3819.992798921795, + "All Fuels (Wh/pkm)": 4073.904899357212, + "Unlinked Passenger Trips": 409141, "Passenger Paid Fares": 358998.0, - "Average Fare": 1.9564670041908956 + "Average Fare": 0.8774432286180069, + "Average Passengers": 1.1280439596997207 }, { "NTD ID": 30010, "Mode": "MB", "UACE Code": "01495", - "Diesel (%)": 28.507766329403754, - "CNG (%)": 71.49223367059624, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1267.5860782057946, - "CNG (Wh/pkm)": 428.33123042092666, - "All Fuels (Wh/pkm)": 667.58404133563, - "Unlinked Passenger Trips": 2765903, + "Gasoline (%)": 1.0321925347789687, + "Diesel (%)": 22.850120919068136, + "CNG (%)": 76.1176865461529, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 799.1078514967537, + "Diesel (Wh/pkm)": 2509.1807185655507, + "CNG (Wh/pkm)": 755.8984296695897, + "All Fuels (Wh/pkm)": 1156.9715571613435, + "Unlinked Passenger Trips": 6437351, "Passenger Paid Fares": 1175359.0, - "Average Fare": 0.4249458495109915 + "Average Fare": 0.1825842648629848, + "Average Passengers": 3.560597136887139 }, { "NTD ID": 30011, "Mode": "DR", "UACE Code": "01792", - "Unlinked Passenger Trips": 5086, + "Unlinked Passenger Trips": 5135, "Passenger Paid Fares": 17163.0, - "Average Fare": 3.374557609123083 + "Average Fare": 3.342356377799416, + "Average Passengers": 0.7998786734968995 }, { "NTD ID": 30011, "Mode": "MB", "UACE Code": "01792", - "Diesel (%)": 4.675427342782324, - "CNG (%)": 95.32457265721767, + "Diesel (%)": 3.1420452019519804, + "CNG (%)": 96.85795479804801, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1224.1796584744206, - "CNG (Wh/pkm)": 431.6613148549356, - "All Fuels (Wh/pkm)": 468.71493418908653, - "Unlinked Passenger Trips": 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0.6939462702710604 }, { "NTD ID": 30012, "Mode": "MB", "UACE Code": "43291", - "Gasoline (%)": 4.844920547051382, - "Diesel (%)": 33.5603458897394, - "CNG (%)": 61.59473356320922, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3568.612906151872, - "Diesel (Wh/pkm)": 2702.9699238709672, - "CNG (Wh/pkm)": 429.3661381163861, - "All Fuels (Wh/pkm)": 1344.489444465031, - "Unlinked Passenger Trips": 679852, + "Gasoline (%)": 7.779090855494088, + "Diesel (%)": 33.37043780044719, + "CNG (%)": 58.85047134405873, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2337.6673022859345, + "Diesel (Wh/pkm)": 3807.7228558083825, + "CNG (Wh/pkm)": 621.6407298289852, + "All Fuels (Wh/pkm)": 1818.3415501259526, + "Unlinked Passenger Trips": 1460261, "Passenger Paid Fares": 605582.0, - "Average Fare": 0.8907556350499815 + "Average Fare": 0.41470805561471547, + "Average Passengers": 3.092918110179684 }, { "NTD ID": 30013, "Mode": "DR", "UACE Code": "27766", - "Gasoline (%)": 94.91610145389673, - "Diesel (%)": 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Fuels (Wh/pkm)": 3182.2553506052436, - "Unlinked Passenger Trips": 105900, + "Gasoline (Wh/pkm)": 6500.994847430464, + "All Fuels (Wh/pkm)": 6500.994847430464, + "Unlinked Passenger Trips": 213464, "Passenger Paid Fares": 142538.0, - "Average Fare": 1.345967894239849 + "Average Fare": 0.6677378855451036, + "Average Passengers": 0.973571746449112 }, { "NTD ID": 30015, "Mode": "MB", "UACE Code": "80227", - "CNG (%)": 69.0687232950689, + "CNG (%)": 85.17311768075993, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 719.1030444943303, - "All Fuels (Wh/pkm)": 1796.3672276719012, - "Unlinked Passenger Trips": 671209, + "CNG (Wh/pkm)": 1250.770265418459, + "All Fuels (Wh/pkm)": 2667.7566297394496, + "Unlinked Passenger Trips": 1428389, "Passenger Paid Fares": 799957.0, - "Average Fare": 1.1918150680339508 + "Average Fare": 0.5600414172889878, + "Average Passengers": 2.247978709655725 }, { "NTD ID": 30019, @@ -3192,11 +3377,12 @@ "UACE Code": "69076", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 140.08037782374572, - "All Fuels (Wh/pkm)": 140.08037782374572, - "Unlinked Passenger Trips": 16340688, + "Electric (Wh/pkm)": 249.72354565225817, + "All Fuels (Wh/pkm)": 249.72354565225817, + "Unlinked Passenger Trips": 35444242, "Passenger Paid Fares": 56363232.0, - "Average Fare": 3.4492569713098984 + "Average Fare": 1.5901943113919603, + "Average Passengers": 60.727395978312416 }, { "NTD ID": 30019, @@ -3204,11 +3390,12 @@ "UACE Code": "69076", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2774.653486444736, - "All Fuels (Wh/pkm)": 2774.653486444736, - "Unlinked Passenger Trips": 714534, + "Gasoline (Wh/pkm)": 6198.6361035645905, + "All Fuels (Wh/pkm)": 6198.6361035645905, + "Unlinked Passenger Trips": 1571279, "Passenger Paid Fares": 2716787.0, - "Average Fare": 3.802180162175628 + "Average Fare": 1.7290290266719024, + "Average Passengers": 0.7861263454111488 }, { "NTD ID": 30019, @@ -3216,11 +3403,12 @@ "UACE Code": "69076", "Electric 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"UACE Code": "69076", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 507.1958383023214, - "All Fuels (Wh/pkm)": 507.1958383023214, - "Unlinked Passenger Trips": 10470047, + "Electric (Wh/pkm)": 679.3738043332498, + "All Fuels (Wh/pkm)": 679.3738043332498, + "Unlinked Passenger Trips": 24901492, "Passenger Paid Fares": 12249760.0, - "Average Fare": 1.1699813763968776 + "Average Fare": 0.4919287567186737, + "Average Passengers": 13.655093023869226 }, { "NTD ID": 30019, @@ -3252,11 +3442,12 @@ "UACE Code": "69076", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 575.969972249322, - "All Fuels (Wh/pkm)": 575.969972249322, - "Unlinked Passenger Trips": 3011436, + "Electric (Wh/pkm)": 1036.2365708164587, + "All Fuels (Wh/pkm)": 1036.2365708164587, + "Unlinked Passenger Trips": 6450746, "Passenger Paid Fares": 3095802.0, - "Average Fare": 1.0280152060345962 + "Average Fare": 0.47991379601677076, + "Average Passengers": 8.496656074201134 }, { "NTD ID": 30022, @@ -3264,11 +3455,12 @@ "UACE Code": "69697", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2973.484449671458, - "All Fuels (Wh/pkm)": 2973.484449671458, - "Unlinked Passenger Trips": 845865, + "Gasoline (Wh/pkm)": 5482.9958824173855, + "All Fuels (Wh/pkm)": 5482.9958824173855, + "Unlinked Passenger Trips": 1772616, "Passenger Paid Fares": 1124050.0, - "Average Fare": 1.328876357338346 + "Average Fare": 0.6341192903595589, + "Average Passengers": 0.9286389072865775 }, { "NTD ID": 30022, @@ -3276,33 +3468,36 @@ "UACE Code": "69697", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 3316.5100164374626, - "All Fuels (Wh/pkm)": 3316.5100164374626, - "Unlinked Passenger Trips": 341003, + "Electric (Wh/pkm)": 10894.283886411577, + "All Fuels (Wh/pkm)": 10894.283886411577, + "Unlinked Passenger Trips": 505974, "Passenger Paid Fares": 283189.0, - "Average Fare": 0.8304589695691826 + "Average Fare": 0.5596908141525059, + "Average Passengers": 2.662493808258657 }, { "NTD ID": 30022, "Mode": "LR", "UACE Code": "69697", - "Unlinked Passenger Trips": 2195579, + "Unlinked Passenger Trips": 5439393, "Passenger Paid Fares": 2501335.0, - "Average Fare": 1.1392598489965517 + "Average Fare": 0.4598555390279761, + "Average Passengers": 7.51905435611649 }, { "NTD ID": 30022, "Mode": "MB", "UACE Code": "69697", - "Diesel (%)": 99.74490675715278, - "Electric (%)": 0.25509324284723, + "Diesel (%)": 99.67235910719393, + "Electric (%)": 0.32764089280607783, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1282.7462624843633, - "Electric (Wh/pkm)": 470.69173103788654, - "All Fuels (Wh/pkm)": 1280.6747662464088, - "Unlinked Passenger Trips": 28946085, + "Diesel (Wh/pkm)": 2488.930432829924, + "Electric (Wh/pkm)": 879.3738620105305, + "All Fuels (Wh/pkm)": 2483.656867311072, + "Unlinked Passenger Trips": 62519081, "Passenger Paid Fares": 27360941.0, - "Average Fare": 0.9452380520543624 + "Average Fare": 0.4376414458171578, + "Average Passengers": 5.005814495801207 }, { "NTD ID": 30023, @@ -3310,109 +3505,76 @@ "UACE Code": "69697", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1858.7245090328736, - "All Fuels (Wh/pkm)": 1858.7245090328736, - "Unlinked Passenger Trips": 64965, + "Gasoline (Wh/pkm)": 3796.8048560291877, + "All Fuels (Wh/pkm)": 3796.8048560291877, + "Unlinked Passenger Trips": 138492, "Passenger Paid Fares": 59031.0, - "Average Fare": 0.9086585084276149 + "Average Fare": 0.4262412269300754, + "Average Passengers": 1.363169463855404 }, { "NTD ID": 30023, "Mode": "MB", "UACE Code": "69697", - "Gasoline (%)": 5.997527620664731, - "Diesel (%)": 22.209395041474018, - "CNG (%)": 71.79307733786125, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 497.7275080639831, - "Diesel (Wh/pkm)": 995.7057559545666, - "CNG (Wh/pkm)": 256.9099506717839, - "All Fuels (Wh/pkm)": 435.4351291368836, - "Unlinked Passenger Trips": 321032, + "Diesel (%)": 28.093296367509197, + "CNG (%)": 71.9067036324908, + "All Fuels 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1670.364983872162, - "All Fuels (Wh/pkm)": 1672.59994381016, - "Unlinked Passenger Trips": 541608, - "Passenger Paid Fares": 494431.0, - "Average Fare": 0.9128945658114356 - }, - { - "NTD ID": 30027, - "Mode": "MB", - "UACE Code": "97750", - "Gasoline (%)": 39.83381109484043, - "Diesel (%)": 5.529084612267324, - "CNG (%)": 54.63710429289226, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 992.6297350467785, - "Diesel (Wh/pkm)": 2489.8296321156, - "CNG (Wh/pkm)": 684.0983857754094, - "All Fuels (Wh/pkm)": 906.8385890928273, - "Unlinked Passenger Trips": 909052, - "Passenger Paid Fares": 788557.0, - "Average Fare": 0.8674498268525893 + "Average Fare": 0.29971984008050667, + "Average Passengers": 4.501752383120643 }, { "NTD ID": 30030, @@ -3420,11 +3582,12 @@ "UACE Code": "92242", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2389.3039742531523, - "All Fuels (Wh/pkm)": 2389.3039742531523, - "Unlinked Passenger Trips": 1307178, + "Gasoline (Wh/pkm)": 4937.0374737790635, + "All Fuels (Wh/pkm)": 4937.0374737790635, + "Unlinked Passenger Trips": 2701324, "Passenger Paid Fares": 4401849.0, - "Average Fare": 3.3674442195324583 + "Average Fare": 1.6295153783848217, + "Average Passengers": 0.6511220553934994 }, { "NTD ID": 30030, @@ -3432,41 +3595,42 @@ "UACE Code": "92242", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 122.80031632652397, - "All Fuels (Wh/pkm)": 122.80031632652397, - "Unlinked Passenger Trips": 76077714, + "Electric (Wh/pkm)": 148.54011987122263, + "All Fuels (Wh/pkm)": 148.54011987122263, + "Unlinked Passenger Trips": 202851430, "Passenger Paid Fares": 161575682.0, - "Average Fare": 2.1238240938732726 + "Average Fare": 0.7965222724828709, + "Average Passengers": 52.635242162733405 }, { "NTD ID": 30030, "Mode": "MB", "UACE Code": "92242", - "Diesel (%)": 69.08093012945285, - "CNG (%)": 30.905241641890612, - "Electric (%)": 0.013828228656535307, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1043.381202376737, - "CNG (Wh/pkm)": 286.88426957324316, - "Electric (Wh/pkm)": 320.05634587416796, - "All Fuels (Wh/pkm)": 809.4839742652398, - "Unlinked Passenger Trips": 79512639, + "Diesel (%)": 71.65089692686996, + "CNG (%)": 28.349103073130046, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1770.4891978972862, + "CNG (Wh/pkm)": 541.8064940437463, + "All Fuels (Wh/pkm)": 1422.206265663633, + "Unlinked Passenger Trips": 182368561, "Passenger Paid Fares": 47555017.0, - "Average Fare": 0.5980812308342577 + "Average Fare": 0.26076324087461544, + "Average Passengers": 6.064831563570673 }, { "NTD ID": 30034, "Mode": "CR", "UACE Code": "04843", - "Diesel (%)": 93.6644934944053, - "Electric (%)": 6.335506505594693, + "Diesel (%)": 87.40663477830726, + "Electric (%)": 12.59336522169274, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1539.4535071809355, - "Electric (Wh/pkm)": 2503.1199682335655, - "All Fuels (Wh/pkm)": 1600.5066585131592, - "Unlinked Passenger Trips": 2271221, + "Diesel (Wh/pkm)": 2570.0465342286057, + "Electric (Wh/pkm)": 2247.2529690847637, + "All Fuels (Wh/pkm)": 2529.395961657919, + "Unlinked Passenger Trips": 5648058, "Passenger Paid Fares": 13842300.0, - "Average Fare": 6.094651291089683 + "Average Fare": 2.4508069853390317, + "Average Passengers": 62.695703926129106 }, { "NTD ID": 30034, @@ -3474,19 +3638,21 @@ "UACE Code": "04843", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2051.0188460822405, - "All Fuels (Wh/pkm)": 2051.0188460822405, - "Unlinked Passenger Trips": 1801983, + "Gasoline (Wh/pkm)": 3186.6574580096076, + "All Fuels (Wh/pkm)": 3186.6574580096076, + "Unlinked Passenger Trips": 4219449, "Passenger Paid Fares": 1484056.0, - "Average Fare": 0.8235682578581485 + "Average Fare": 0.3517179612788305, + "Average Passengers": 1.1815537084336925 }, { "NTD ID": 30034, "Mode": "HR", "UACE Code": "04843", - "Unlinked Passenger Trips": 2252070, + "Unlinked Passenger Trips": 4008165, "Passenger Paid Fares": 5717200.0, - "Average Fare": 2.538642226929003 + "Average Fare": 1.4263883847097114, + "Average Passengers": 8.520307297387069 }, { "NTD ID": 30034, @@ -3494,11 +3660,12 @@ "UACE Code": "04843", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 561.5633880140336, - "All Fuels (Wh/pkm)": 561.5633880140336, - "Unlinked Passenger Trips": 2903523, + "Electric (Wh/pkm)": 1000.4859602880031, + "All Fuels (Wh/pkm)": 1000.4859602880031, + "Unlinked Passenger Trips": 6337708, "Passenger Paid Fares": 3362800.0, - "Average Fare": 1.1581792188317435 + "Average Fare": 0.5306019147616141, + "Average Passengers": 10.563894937026857 }, { "NTD ID": 30034, @@ -3506,31 +3673,40 @@ "UACE Code": "04843", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 713.6273513284232, - "All Fuels (Wh/pkm)": 713.6273513284232, - "Unlinked Passenger Trips": 40168414, + "Diesel (Wh/pkm)": 1458.4787203785434, + "All Fuels (Wh/pkm)": 1458.4787203785434, + "Unlinked Passenger Trips": 85902420, "Passenger 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"Unlinked Passenger Trips": 586030, "Passenger Paid Fares": 293720.0, - "Average Fare": 1.070135169599592 + "Average Fare": 0.5012030100848079, + "Average Passengers": 1.7679860246144232 }, { "NTD ID": 30044, @@ -3538,23 +3714,25 @@ "UACE Code": "69697", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2096.9540823440157, - "All Fuels (Wh/pkm)": 2096.9540823440157, - "Unlinked Passenger Trips": 139981, + "Gasoline (Wh/pkm)": 4943.327832352133, + "All Fuels (Wh/pkm)": 4943.327832352133, + "Unlinked Passenger Trips": 297506, "Passenger Paid Fares": 197472.0, - "Average Fare": 1.4107057386359578 + "Average Fare": 0.6637580418546181, + "Average Passengers": 1.0958815178297039 }, { "NTD ID": 30044, "Mode": "MB", "UACE Code": "69697", - "CNG (%)": 69.45669222725688, + "CNG (%)": 73.9038171088228, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 918.0221070868126, - "All Fuels (Wh/pkm)": 2171.4162431797645, - "Unlinked Passenger Trips": 150403, + "CNG (Wh/pkm)": 1131.5151293050685, 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"Unlinked Passenger Trips": 157027 + "Gasoline (Wh/pkm)": 6429.260284837225, + "Electric (Wh/pkm)": 273.67123722284015, + "All Fuels (Wh/pkm)": 6424.761948761197, + "Unlinked Passenger Trips": 351020, + "Average Passengers": 1.0724845608955966 }, { "NTD ID": 30051, "Mode": "DR", "UACE Code": "92242", - "Unlinked Passenger Trips": 9047 + "Unlinked Passenger Trips": 22225, + "Average Passengers": 0.3243851442341768 }, { "NTD ID": 30051, "Mode": "MB", "UACE Code": "92242", - "Diesel (%)": 65.63280214745464, - "CNG (%)": 34.113427536133905, - "Electric (%)": 0.2537703164114599, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1374.6980774854856, - "CNG (Wh/pkm)": 348.91502040205137, - "Electric (Wh/pkm)": 639.5946832136175, - "All Fuels (Wh/pkm)": 1022.902843419794, - "Unlinked Passenger Trips": 14093905, + "Diesel (%)": 66.53573855617225, + "CNG (%)": 33.065318167774635, + "Electric (%)": 0.39894327605312735, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 2639.1450962151844, + "CNG (Wh/pkm)": 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221.80282316687504, - "Unlinked Passenger Trips": 3363907, + "CNG (Wh/pkm)": 495.76155790556265, + "All Fuels (Wh/pkm)": 495.76155790556265, + "Unlinked Passenger Trips": 8045344, "Passenger Paid Fares": 1091624.0, - "Average Fare": 0.3245107549049364 + "Average Fare": 0.13568394340875917, + "Average Passengers": 5.8644103074577325 }, { "NTD ID": 30054, @@ -3630,31 +3814,38 @@ "UACE Code": "84493", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 250.70869411003252, - "All Fuels (Wh/pkm)": 250.70869411003252, - "Unlinked Passenger Trips": 45358, + "Gasoline (Wh/pkm)": 299.48992627363447, + "All Fuels (Wh/pkm)": 299.48992627363447, + "Unlinked Passenger Trips": 96000, "Passenger Paid Fares": 98924.0, - "Average Fare": 2.180960359804224 + "Average Fare": 1.0304583333333333, + "Average Passengers": 6.9520154198018576 }, { "NTD ID": 30058, "Mode": "MB", "UACE Code": "92242", - "Unlinked Passenger Trips": 536110 + "Diesel (%)": 100.0, + "All Fuels (%)": 100, + "Diesel 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"Unlinked Passenger Trips": 1102123, "Passenger Paid Fares": 4664255.0, - "Average Fare": 8.861660026484731 + "Average Fare": 4.232063934787678, + "Average Passengers": 4.68729201919354 }, { "NTD ID": 30071, "Mode": "MB", "UACE Code": "92242", - "Diesel (%)": 96.09191206372566, - "Electric (%)": 3.908087936274343, + "Diesel (%)": 91.14357746302936, + "Electric (%)": 8.856422536970639, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2611.973853360293, - "Electric (Wh/pkm)": 871.2838608327145, - "All Fuels (Wh/pkm)": 2543.9461577543884, - "Unlinked Passenger Trips": 3019825, + "Diesel (Wh/pkm)": 4162.146507502468, + "Electric (Wh/pkm)": 1108.395318370766, + "All Fuels (Wh/pkm)": 3891.6933989651984, + "Unlinked Passenger Trips": 7560685, "Passenger Paid Fares": 493179.0, - "Average Fare": 0.16331376818193108 + "Average Fare": 0.06522940712382543, + "Average Passengers": 2.826628155624645 }, { "NTD ID": 30072, "Mode": "DR", "UACE Code": "31519", - "Gasoline (%)": 93.48878145349843, - "Diesel 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"All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2209.4041825858126, + "Diesel (Wh/pkm)": 3356.1739140693903, + "Electric (Wh/pkm)": 1056.6828897860964, + "All Fuels (Wh/pkm)": 2761.2862088974452, + "Unlinked Passenger Trips": 1114691, "Passenger Paid Fares": 13885.0, - "Average Fare": 0.029313223990187407 + "Average Fare": 0.01245636683170493, + "Average Passengers": 3.7942764864552987 }, { "NTD ID": 30073, @@ -3758,43 +3961,44 @@ "UACE Code": "92242", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1334.5405848557941, - "All Fuels (Wh/pkm)": 1334.5405848557941, - "Unlinked Passenger Trips": 822440, + "Diesel (Wh/pkm)": 1889.9329906122039, + "All Fuels (Wh/pkm)": 1889.9329906122039, + "Unlinked Passenger Trips": 2288690, "Passenger Paid Fares": 10517221.0, - "Average Fare": 12.78782768347843 + "Average Fare": 4.595301679126488, + "Average Passengers": 92.23724404791119 }, { "NTD ID": 30075, "Mode": "DR", "UACE Code": "69076", - "Gasoline (%)": 28.53158848987706, - "LPG 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"All Fuels (Wh/pkm)": 2897.0219750894903, - "Unlinked Passenger Trips": 5428317, + "Diesel (%)": 96.78400595425714, + "LPG (%)": 1.1939013226325135, + "Electric (%)": 2.022092723110339, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1623.5633822258776, + "LPG (Wh/pkm)": 1784.551694665463, + "Electric (Wh/pkm)": 625.803129032903, + "All Fuels (Wh/pkm)": 1605.3097863434755, + "Unlinked Passenger Trips": 12246728, "Passenger Paid Fares": 6073579.0, - "Average Fare": 1.1188696238631606 + "Average Fare": 0.49593483255282556, + "Average Passengers": 3.6120932129163896 }, { "NTD ID": 30076, @@ -3802,25 +4006,27 @@ "UACE Code": "95411", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3364.797058185802, - "All Fuels (Wh/pkm)": 3364.797058185802, - "Unlinked Passenger Trips": 17360, + "Gasoline (Wh/pkm)": 6720.964645022283, + "All Fuels (Wh/pkm)": 6720.964645022283, + "Unlinked Passenger Trips": 33497, "Passenger Paid Fares": 49709.0, - "Average Fare": 2.863421658986175 + "Average Fare": 1.4839836403259994, + "Average Passengers": 0.6763605813117483 }, { "NTD ID": 30076, "Mode": "MB", "UACE Code": "95411", - "Gasoline (%)": 1.1378135718215552, - "Diesel (%)": 98.86218642817845, + "Gasoline (%)": 1.9884208204675784, + "Diesel (%)": 98.01157917953242, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 191.15025440988362, - "Diesel (Wh/pkm)": 1003.2342165422966, - "All Fuels (Wh/pkm)": 993.9942150065679, - "Unlinked Passenger Trips": 670047, + "Gasoline (Wh/pkm)": 806.6227791824663, + "Diesel (Wh/pkm)": 1955.6546470474057, + "All Fuels (Wh/pkm)": 1932.807058152972, + "Unlinked Passenger Trips": 1394728, "Passenger Paid Fares": 414041.0, - "Average Fare": 0.6179282945823203 + "Average Fare": 0.2968614668953373, + "Average Passengers": 3.948110834837212 }, { "NTD ID": 30077, @@ -3828,27 +4034,30 @@ "UACE Code": "69076", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3767.101518974359, - "All Fuels (Wh/pkm)": 3767.101518974359, - "Unlinked Passenger Trips": 4212, + "Gasoline (Wh/pkm)": 7460.456740297238, + "All Fuels (Wh/pkm)": 7460.456740297238, + "Unlinked Passenger Trips": 8582, "Passenger Paid Fares": 16935.0, - "Average Fare": 4.02065527065527 + "Average Fare": 1.97331624329993, + "Average Passengers": 0.5806045595728699 }, { "NTD ID": 30077, "Mode": "MB", "UACE Code": "69076", - "Unlinked Passenger Trips": 131888, + "Unlinked Passenger Trips": 265714, "Passenger Paid Fares": 145949.0, - "Average Fare": 1.1066131869465001 + "Average Fare": 0.5492710207215277, + "Average Passengers": 0.7749733510760591 }, { "NTD ID": 30078, "Mode": "VP", "UACE Code": "69697", - "Unlinked Passenger Trips": 13020, + "Unlinked Passenger Trips": 35189, "Passenger Paid Fares": 121793.0, - "Average Fare": 9.354301075268816 + "Average Fare": 3.461110005967774, + "Average Passengers": 3.713771699414501 }, { "NTD ID": 30080, @@ -3856,11 +4065,12 @@ "UACE Code": "92242", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1418.2178717234049, - "All Fuels (Wh/pkm)": 1418.2178717234049, - "Unlinked Passenger Trips": 42610, + "Gasoline (Wh/pkm)": 2218.1733933058717, + "All Fuels (Wh/pkm)": 2218.1733933058717, + "Unlinked Passenger Trips": 90542, "Passenger Paid Fares": 187376.0, - "Average Fare": 4.397465383712744 + "Average Fare": 2.06949261116388, + "Average Passengers": 1.3659800557704005 }, { "NTD ID": 30080, @@ -3868,11 +4078,12 @@ "UACE Code": "92242", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 1011.9436222148058, - "All Fuels (Wh/pkm)": 1011.9436222148058, - "Unlinked Passenger Trips": 1772823, + "CNG (Wh/pkm)": 1800.843834597982, + "All Fuels (Wh/pkm)": 1800.843834597982, + "Unlinked Passenger Trips": 3821925, "Passenger Paid Fares": 2271074.0, - "Average Fare": 1.2810494899942069 + "Average Fare": 0.5942225449217344, + "Average Passengers": 2.112322044394808 }, { "NTD ID": 30081, @@ -3880,11 +4091,12 @@ "UACE Code": "92242", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1378.5371170500805, - "All Fuels (Wh/pkm)": 1378.5371170500805, - "Unlinked Passenger Trips": 149701, + "Diesel (Wh/pkm)": 1896.4432631538734, + "All Fuels (Wh/pkm)": 1896.4432631538734, + "Unlinked Passenger Trips": 313044, "Passenger Paid Fares": 1159751.0, - "Average Fare": 7.7471159177293405 + "Average Fare": 3.7047539642989484, + "Average Passengers": 4.818017098934172 }, { "NTD ID": 30081, @@ -3892,11 +4104,23 @@ "UACE Code": "92242", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 311.4966544468361, - "All Fuels (Wh/pkm)": 311.4966544468361, - "Unlinked Passenger Trips": 12310, + "Gasoline (Wh/pkm)": 512.2471896014612, + "All Fuels (Wh/pkm)": 512.2471896014612, + "Unlinked Passenger Trips": 27284, "Passenger Paid Fares": 21732.0, - "Average Fare": 1.7653939886271324 + "Average Fare": 0.7965107755461076, + "Average Passengers": 0.5116720020592319 + }, + { + "NTD ID": 30081, + "Mode": "MB", + "UACE Code": "92242", + "Diesel (%)": 100.0, + "Diesel 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100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2384.047330036649, - "All Fuels (Wh/pkm)": 2384.047330036649, - "Unlinked Passenger Trips": 96695, + "Gasoline (Wh/pkm)": 3931.8368640884437, + "All Fuels (Wh/pkm)": 3931.8368640884437, + "Unlinked Passenger Trips": 200604, "Passenger Paid Fares": 20969.0, - "Average Fare": 0.21685712808314805 + "Average Fare": 0.10452932144922335, + "Average Passengers": 1.3830319985516586 }, { "NTD ID": 30087, "Mode": "MB", "UACE Code": "00042", - "Gasoline (%)": 7.471888531089791, - "Diesel (%)": 35.39578956354306, - "CNG (%)": 57.13232190536714, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2335.7481637647957, - "Diesel (Wh/pkm)": 1165.1588224474187, - "CNG (Wh/pkm)": 544.6322835623569, - "All Fuels (Wh/pkm)": 898.1027334834245, - "Unlinked Passenger Trips": 69469, + "Gasoline (%)": 13.972798958783988, + "Diesel (%)": 16.33371264037693, + "CNG (%)": 69.69348840083909, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 5887.252067435183, + "Diesel 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1603.9591369955388, - "Unlinked Passenger Trips": 398958, + "Gasoline (Wh/pkm)": 2655.430432834619, + "All Fuels (Wh/pkm)": 2655.430432834619, + "Unlinked Passenger Trips": 891804, "Passenger Paid Fares": 104456.0, - "Average Fare": 0.26182204643095264 + "Average Fare": 0.11712887585164453, + "Average Passengers": 2.4564451275646797 }, { "NTD ID": 30091, "Mode": "DR", "UACE Code": "08002", - "Gasoline (%)": 47.59910205019453, - "Diesel (%)": 52.40089794980548, + "Gasoline (%)": 60.70741415963815, + "Diesel (%)": 39.292585840361845, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5340.746196621598, - "Diesel (Wh/pkm)": 2870.330027757417, - "All Fuels (Wh/pkm)": 4046.225941039586, - "Unlinked Passenger Trips": 26196 + "Gasoline (Wh/pkm)": 8040.8861378422, + "Diesel (Wh/pkm)": 7054.023754411111, + "All Fuels (Wh/pkm)": 7653.122388706298, + "Unlinked Passenger Trips": 54079, + "Average Passengers": 0.5163664919099702 }, { "NTD ID": 30091, "Mode": "MB", "UACE Code": "08002", - "Diesel (%)": 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"Diesel (%)": 57.55545409176338, - "CNG (%)": 42.44454590823663, + "CNG (%)": 67.36565347355736, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2303.998724529858, - "CNG (Wh/pkm)": 570.3596160985462, - "All Fuels (Wh/pkm)": 1568.1634772685861, - "Unlinked Passenger Trips": 187099, + "CNG (Wh/pkm)": 920.6495848434274, + "All Fuels (Wh/pkm)": 3145.3462476529394, + "Unlinked Passenger Trips": 391464, "Passenger Paid Fares": 201113.0, - "Average Fare": 1.0749015227232641 - }, - { - "NTD ID": 30096, - "Mode": "DR", - "UACE Code": "78364", - "Other (%)": 100.0, - "All Fuels (%)": 100, - "All Fuels (Wh/pkm)": 2967.2410102635286, - "Unlinked Passenger Trips": 45032, - "Passenger Paid Fares": 144167.0, - "Average Fare": 3.201434535441464 + "Average Fare": 0.5137458361432979, + "Average Passengers": 2.3669974184690226 }, { "NTD ID": 30096, "Mode": "MB", "UACE Code": "78364", - "Gasoline (%)": 30.830769613815924, - "Diesel (%)": 3.0538995768890214, - "Other (%)": 66.11533080929506, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1403.2271703764368, - "Diesel (Wh/pkm)": 871.7279571884208, - "All Fuels (Wh/pkm)": 967.0059119746637, - "Unlinked Passenger Trips": 143167, + "Gasoline (%)": 100.0, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2364.710129514011, + "All Fuels (Wh/pkm)": 5404.899858897344, + "Unlinked Passenger Trips": 304189, "Passenger Paid Fares": 176204.0, - "Average Fare": 1.2307584848463682 + "Average Fare": 0.5792582900762355, + "Average Passengers": 5.011414833867573 }, { "NTD ID": 30107, @@ -4139,9 +4354,10 @@ "UACE Code": "59275", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 226.43245991963235, - "All Fuels (Wh/pkm)": 226.43245991963235, - "Unlinked Passenger Trips": 1398893 + "Electric (Wh/pkm)": 407.0424951977298, + "All Fuels (Wh/pkm)": 407.0424951977298, + "Unlinked Passenger Trips": 2999196, + "Average Passengers": 4.984376535234523 }, { "NTD ID": 30111, @@ -4149,41 +4365,53 @@ "UACE Code": "69697", "Gasoline (%)": 100.0, "All Fuels 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"Average Fare": 1.479741401426397 + "Average Fare": 0.6469774467575975, + "Average Passengers": 2.342257505063612 }, { "NTD ID": 30112, "Mode": "MB", "UACE Code": "92242", - "Electric (%)": 13.122955753776989, - "Electric (Wh/pkm)": 2033.0298274504119, - "Unlinked Passenger Trips": 1849977, + "Diesel (%)": 85.87873195840181, + "Electric (%)": 14.121268041598178, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 6549.439693226679, + "Electric (Wh/pkm)": 3115.0930970464215, + "All Fuels (Wh/pkm)": 6064.466404902561, + "Unlinked Passenger Trips": 3817570, "Passenger Paid Fares": 677711.0, - "Average Fare": 0.36633482470322604 + "Average Fare": 0.1775241842323782, + "Average Passengers": 1.865403896096641 }, { "NTD ID": 30112, "Mode": "SR", "UACE Code": "92242", - "Unlinked Passenger Trips": 267093 + "Electric (%)": 100.0, + "All Fuels (%)": 100, + "Electric (Wh/pkm)": 4497.817231482014, + "All Fuels (Wh/pkm)": 4497.817231482014, + "Unlinked Passenger Trips": 890948, + "Average Passengers": 3.2525812590277194 }, { "NTD ID": 30129, @@ -4191,35 +4419,10 @@ "UACE Code": "04843", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2697.4856258197915, - "All Fuels (Wh/pkm)": 2697.4856258197915, - "Unlinked Passenger Trips": 71249 - }, - { - "NTD ID": 30137, - "Mode": "DR", - "UACE Code": "00042", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2087.5586286772605, - "All Fuels (Wh/pkm)": 2087.5586286772605, - "Unlinked Passenger Trips": 57814, - "Passenger Paid Fares": 81892.0, - "Average Fare": 1.4164735185249249 - }, - { - "NTD ID": 30137, - "Mode": "MB", - "UACE Code": "00042", - "Diesel (%)": 44.20569395873142, - "CNG (%)": 55.794306041268584, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1272.1241944633332, - "CNG (Wh/pkm)": 263.294433553067, - "All Fuels (Wh/pkm)": 709.2546302256613, - "Unlinked Passenger Trips": 214292, - "Passenger Paid Fares": 198201.0, - "Average Fare": 0.9249108692811677 + "Gasoline (Wh/pkm)": 4369.049930945284, + "All Fuels (Wh/pkm)": 4369.049930945284, + "Unlinked Passenger Trips": 141448, + "Average Passengers": 0.674641183816925 }, { "NTD ID": 30201, @@ -4227,9 +4430,10 @@ "UACE Code": "04843", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 5189.798271073127, - "All Fuels (Wh/pkm)": 5189.798271073127, - "Unlinked Passenger Trips": 111009 + "Diesel (Wh/pkm)": 8533.75257305244, + "All Fuels (Wh/pkm)": 8533.75257305244, + "Unlinked Passenger Trips": 285601, + "Average Passengers": 1.8508862915086306 }, { "NTD ID": 30201, @@ -4237,9 +4441,10 @@ "UACE Code": "04843", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1810.0437437758221, - "All Fuels (Wh/pkm)": 1810.0437437758221, - "Unlinked Passenger Trips": 1137841 + "Diesel (Wh/pkm)": 3321.0010883822556, + "All Fuels (Wh/pkm)": 3321.0010883822556, + "Unlinked Passenger Trips": 2239824, + "Average Passengers": 4.014341259972231 }, { "NTD ID": 30202, @@ -4247,11 +4452,12 @@ "UACE Code": "47530", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2647.5652349636352, - "All Fuels (Wh/pkm)": 2647.5652349636352, - "Unlinked Passenger Trips": 303357, + "Gasoline (Wh/pkm)": 4913.981977869432, + "All Fuels (Wh/pkm)": 4913.981977869432, + "Unlinked Passenger Trips": 636047, "Passenger Paid Fares": 420373.0, - "Average Fare": 1.3857369370082115 + "Average Fare": 0.6609149952755063, + "Average Passengers": 1.1605337494404069 }, { "NTD ID": 30202, @@ -4259,11 +4465,12 @@ "UACE Code": "47530", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1079.9749218014226, - "All Fuels (Wh/pkm)": 1079.9749218014226, - "Unlinked Passenger Trips": 2862184, + "Diesel (Wh/pkm)": 1966.1652682894266, + "All Fuels (Wh/pkm)": 1966.1652682894266, + "Unlinked Passenger Trips": 6090403, "Passenger Paid Fares": 2814479.0, - "Average Fare": 0.9833326578584745 + "Average Fare": 0.462117038888888, + "Average Passengers": 3.9261122468460448 }, { "NTD ID": 30205, @@ -4271,27 +4478,29 @@ "UACE Code": "04843", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3563.884133126406, - "All Fuels (Wh/pkm)": 3563.884133126406, - "Unlinked Passenger Trips": 61137, + "Gasoline (Wh/pkm)": 7376.710608147841, + "All Fuels (Wh/pkm)": 7376.710608147841, + "Unlinked Passenger Trips": 139056, "Passenger Paid Fares": 268688.0, - "Average Fare": 4.394850908615077 + "Average Fare": 1.9322287423771718, + "Average Passengers": 0.8408418154228029 }, { "NTD ID": 30205, "Mode": "MB", "UACE Code": "04843", - "Gasoline (%)": 16.06055275372637, - "Diesel (%)": 82.24389811468676, - "Electric (%)": 1.6955491315868574, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1589.6856035071316, - "Diesel (Wh/pkm)": 2241.0723890451604, - "Electric (Wh/pkm)": 920.5126895918629, - "All Fuels (Wh/pkm)": 2114.065332206856, - "Unlinked Passenger Trips": 603074, + "Gasoline (%)": 16.87709274106841, + "Diesel (%)": 80.43286186775266, + "Electric (%)": 2.6900453911789275, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3074.5995951435416, + "Diesel (Wh/pkm)": 4521.878346853811, + "Electric (Wh/pkm)": 901.3151173958811, + "All Fuels (Wh/pkm)": 4180.22497541714, + "Unlinked Passenger Trips": 1315796, "Passenger Paid Fares": 398640.0, - "Average Fare": 0.6610134079731509 + "Average Fare": 0.3029648972941094, + "Average Passengers": 2.1997260836054937 }, { "NTD ID": 40001, @@ -4299,11 +4508,12 @@ "UACE Code": "15832", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3395.949945113751, - "All Fuels (Wh/pkm)": 3395.949945113751, - "Unlinked Passenger Trips": 50610, + "Gasoline (Wh/pkm)": 6542.699250188325, + "All Fuels (Wh/pkm)": 6542.699250188325, + "Unlinked Passenger Trips": 100473, "Passenger Paid Fares": 107973.0, - "Average Fare": 2.133432128037937 + "Average Fare": 1.074646920068078, + "Average Passengers": 0.6924545250392994 }, { "NTD ID": 40001, @@ -4311,27 +4521,29 @@ "UACE Code": "15832", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 147.36845211361936, - "All Fuels (Wh/pkm)": 147.36845211361936, - "Unlinked Passenger Trips": 472114, + "Electric (Wh/pkm)": 296.9250047147639, + "All Fuels (Wh/pkm)": 296.9250047147639, + "Unlinked Passenger Trips": 994467, "Passenger Paid Fares": 3005198.0, - "Average Fare": 6.365407507508779 + "Average Fare": 3.021918273808985, + "Average Passengers": 20.837949767351212 }, { "NTD ID": 40001, "Mode": "MB", "UACE Code": "15832", - "Gasoline (%)": 9.188451769134442, - "Diesel (%)": 80.24874802283976, - "Electric (%)": 10.56280020802579, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2327.112540646324, - "Diesel (Wh/pkm)": 2222.9265824549357, - "Electric (Wh/pkm)": 917.9517981006032, - "All Fuels (Wh/pkm)": 2094.657779737098, - "Unlinked Passenger Trips": 1137199, + "Gasoline (%)": 13.951437082074081, + "Diesel (%)": 73.49161232682575, + "Electric (%)": 12.556950591100192, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3123.8485861283366, + "Diesel (Wh/pkm)": 4076.075550159661, + "Electric (Wh/pkm)": 1129.591230841282, + "All Fuels (Wh/pkm)": 3573.237624242963, + "Unlinked Passenger Trips": 2301022, "Passenger Paid Fares": 1285314.0, - "Average Fare": 1.1302454539618836 + "Average Fare": 0.5585839683410241, + "Average Passengers": 2.5691392323270277 }, { "NTD ID": 40002, @@ -4339,51 +4551,59 @@ "UACE Code": "45640", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3328.9550353572026, - "All Fuels (Wh/pkm)": 3328.9550353572026, - "Unlinked Passenger Trips": 77264, + "Gasoline (Wh/pkm)": 6550.281704557402, + "All Fuels (Wh/pkm)": 6550.281704557402, + "Unlinked Passenger Trips": 155106, "Passenger Paid Fares": 129348.0, - "Average Fare": 1.6741043694346656 + "Average Fare": 0.8339329232911686, + "Average Passengers": 0.8990302038050173 }, { "NTD ID": 40002, "Mode": "MB", "UACE Code": "45640", - "Gasoline (%)": 6.3508253578821785, - "Diesel (%)": 79.81239499244906, - "Electric (%)": 13.83677964966877, - "All Fuels (%)": 100, - "Gasoline 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40003, @@ -4391,11 +4611,12 @@ "UACE Code": "56116", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 1163.971568972134, - "All Fuels (Wh/pkm)": 1163.971568972134, - "Unlinked Passenger Trips": 287242, + "Electric (Wh/pkm)": 2144.2615238122667, + "All Fuels (Wh/pkm)": 2144.2615238122667, + "Unlinked Passenger Trips": 645901, "Passenger Paid Fares": 125496.0, - "Average Fare": 0.436899896254726 + "Average Fare": 0.19429602988693315, + "Average Passengers": 4.577266511611599 }, { "NTD ID": 40004, @@ -4403,39 +4624,42 @@ "UACE Code": "61273", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1623.6534206436681, - "All Fuels (Wh/pkm)": 1623.6534206436681, - "Unlinked Passenger Trips": 310748, + "Gasoline (Wh/pkm)": 3161.879989697586, + "All Fuels (Wh/pkm)": 3161.879989697586, + "Unlinked Passenger Trips": 666656, "Passenger Paid Fares": 1149617.0, - "Average Fare": 3.6995153629307347 + "Average Fare": 1.72445309124946, + "Average Passengers": 1.4038314493481794 }, { "NTD ID": 40004, "Mode": "MB", "UACE Code": "61273", - "Diesel (%)": 99.67007785632215, - "Electric (%)": 0.3299221436778497, + "Diesel (%)": 99.82205554883967, + "Electric (%)": 0.1779444511603177, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1306.6546553522553, - "Electric (Wh/pkm)": 327.21323671232545, - "All Fuels (Wh/pkm)": 1362.6118621965447, - "Unlinked Passenger Trips": 6059665, + "Diesel (Wh/pkm)": 2840.664601855053, + "Electric (Wh/pkm)": 980.7557627161876, + "All Fuels (Wh/pkm)": 2940.1920042095817, + "Unlinked Passenger Trips": 13866523, "Passenger Paid Fares": 5044927.0, - "Average Fare": 0.8325422279944519 + "Average Fare": 0.36382062035306184, + "Average Passengers": 4.33135838190571 }, { "NTD ID": 40005, "Mode": "MB", "UACE Code": "03358", - "Diesel (%)": 87.12653969009561, - "Electric (%)": 12.873460309904376, + "Diesel (%)": 88.55819121075962, + "Electric (%)": 11.44180878924038, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1519.521730467055, - "Electric (Wh/pkm)": 491.8329919050158, - "All Fuels (Wh/pkm)": 1387.222628598914, - "Unlinked Passenger Trips": 1485058, + "Diesel (Wh/pkm)": 2607.28685732104, + "Electric (Wh/pkm)": 933.1437214149602, + "All Fuels (Wh/pkm)": 2415.7346008524732, + "Unlinked Passenger Trips": 2862868, "Passenger Paid Fares": 479222.0, - "Average Fare": 0.3226958139008712 + "Average Fare": 0.1673922793506372, + "Average Passengers": 3.4496067917102082 }, { "NTD ID": 40006, @@ -4443,61 +4667,57 @@ "UACE Code": "95833", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5185.857286700216, - "All Fuels (Wh/pkm)": 5185.857286700216, - "Unlinked Passenger Trips": 47774, + "Gasoline (Wh/pkm)": 10077.129996085803, + "All Fuels (Wh/pkm)": 10077.129996085803, + "Unlinked Passenger Trips": 100583, "Passenger Paid Fares": 68070.0, - "Average Fare": 1.4248335914932808 + "Average Fare": 0.6767545211417436, + "Average Passengers": 0.6216063123583894 }, { "NTD ID": 40006, "Mode": "MB", "UACE Code": "95833", - "Diesel (%)": 15.114296456433877, - "CNG (%)": 84.88570354356612, + "CNG (%)": 91.17233446087545, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2323.035883253131, - "CNG (Wh/pkm)": 930.9969657735597, - "All Fuels (Wh/pkm)": 1141.393854550355, - "Unlinked Passenger Trips": 663127, + "CNG (Wh/pkm)": 1899.7913259192055, + "All Fuels (Wh/pkm)": 2513.4698327804995, + "Unlinked Passenger Trips": 1331626, "Passenger Paid Fares": 479100.0, - "Average Fare": 0.7224860396274017 - }, - { - "NTD ID": 40006, - "Mode": "VP", - "UACE Code": "95833", - "Unlinked Passenger Trips": 92 + "Average Fare": 0.3597857055960157, + "Average Passengers": 1.5539237428132804 }, { "NTD ID": 40007, "Mode": "MB", "UACE Code": "73261", - "Diesel (%)": 50.12941912783493, - "CNG (%)": 49.34801444185177, - "Electric (%)": 0.5225664303133063, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1580.4384498997943, - "CNG (Wh/pkm)": 489.34416093719625, - "Electric (Wh/pkm)": 574.7901632038734, - "All Fuels (Wh/pkm)": 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42.505227275148926, + "All Fuels (Wh/pkm)": 348.9286367393336, + "Unlinked Passenger Trips": 438626, "Passenger Paid Fares": 707481.0, - "Average Fare": 3.837143461494655 + "Average Fare": 1.612948160847738, + "Average Passengers": 3.7739400503623424 }, { "NTD ID": 40008, @@ -4505,11 +4725,12 @@ "UACE Code": "15670", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2345.2980348112433, - "All Fuels (Wh/pkm)": 2345.2980348112433, - "Unlinked Passenger Trips": 162263, + "Diesel (Wh/pkm)": 4315.082722096925, + "All Fuels (Wh/pkm)": 4315.082722096925, + "Unlinked Passenger Trips": 348763, "Passenger Paid Fares": 517185.0, - "Average Fare": 3.187325514750744 + "Average Fare": 1.4829124649117023, + "Average Passengers": 0.9796266510943389 }, { "NTD ID": 40008, @@ -4517,25 +4738,27 @@ "UACE Code": "15670", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 225.3184741733925, - "All Fuels (Wh/pkm)": 225.3184741733925, - "Unlinked Passenger Trips": 3878989, + "Electric (Wh/pkm)": 374.1954541385406, + "All Fuels (Wh/pkm)": 374.1954541385406, + "Unlinked Passenger Trips": 8963591, "Passenger Paid Fares": 3128204.0, - "Average Fare": 0.8064482781467026 + "Average Fare": 0.34899004204899575, + "Average Passengers": 25.134262306071356 }, { "NTD ID": 40008, "Mode": "MB", "UACE Code": "15670", - "Diesel (%)": 99.53329494060286, - "Electric (%)": 0.46670505939714646, + "Diesel (%)": 96.84424117433338, + "Electric (%)": 3.155758825666624, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1251.4261799604917, - "Electric (Wh/pkm)": 406.8513492499187, - "All Fuels (Wh/pkm)": 1247.4845064951705, - "Unlinked Passenger Trips": 8033371, + "Diesel (Wh/pkm)": 3204.522017399997, + "Electric (Wh/pkm)": 467.037546507232, + "All Fuels (Wh/pkm)": 3118.133609608545, + "Unlinked Passenger Trips": 15885661, "Passenger Paid Fares": 6008081.0, - "Average Fare": 0.7478903937089424 + "Average Fare": 0.3782078063984873, + "Average Passengers": 3.4747502622635658 }, { "NTD ID": 40008, @@ -4543,9 +4766,10 @@ "UACE Code": "15670", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 1707.905482545743, - "All Fuels (Wh/pkm)": 1707.905482545743, - "Unlinked Passenger Trips": 341767 + "Electric (Wh/pkm)": 2742.392772900435, + "All Fuels (Wh/pkm)": 2742.392772900435, + "Unlinked Passenger Trips": 946036, + "Average Passengers": 3.788248743239876 }, { "NTD ID": 40008, @@ -4553,35 +4777,34 @@ "UACE Code": "15670", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 430.6162641143294, - "All Fuels (Wh/pkm)": 430.6162641143294, - "Unlinked Passenger Trips": 39250, + "Gasoline (Wh/pkm)": 820.2461296397535, + "All Fuels (Wh/pkm)": 820.2461296397535, + "Unlinked Passenger Trips": 84481, "Passenger Paid Fares": 188225.0, - "Average Fare": 4.795541401273885 + "Average Fare": 2.2280157668588205, + "Average Passengers": 3.8810638471696963 }, { "NTD ID": 40009, "Mode": "DR", "UACE Code": "29440", - "Other (%)": 92.81765515291664, - "All Fuels 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2086.0618495928366, - "All Fuels (Wh/pkm)": 2086.0618495928366, - "Unlinked Passenger Trips": 158079, + "Gasoline (Wh/pkm)": 4079.220729103469, + "All Fuels (Wh/pkm)": 4079.220729103469, + "Unlinked Passenger Trips": 321191, "Passenger Paid Fares": 113253.0, - "Average Fare": 0.7164329227791167 + "Average Fare": 0.35260327966848387, + "Average Passengers": 1.404255424611942 }, { "NTD ID": 40012, "Mode": "MB", "UACE Code": "96670", - "Gasoline (%)": 1.0673482203540945, - "Diesel (%)": 98.93265177964591, + "Gasoline (%)": 1.0509708923150523, + "Diesel (%)": 98.94902910768495, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1642.6674730573152, - "Diesel (Wh/pkm)": 2263.04093891763, - "All Fuels (Wh/pkm)": 2256.419393770221, - "Unlinked Passenger Trips": 1422744, + "Gasoline (Wh/pkm)": 3976.4143278109423, + "Diesel (Wh/pkm)": 4307.883940608512, + "All Fuels (Wh/pkm)": 4304.40029146114, + "Unlinked Passenger Trips": 2975214, "Passenger Paid Fares": 801953.0, - "Average Fare": 0.5636664080115608 + "Average Fare": 0.26954464451968835, + "Average Passengers": 2.2184102568646384 }, { "NTD ID": 40014, "Mode": "DR", "UACE Code": "35920", - "Gasoline (%)": 23.437650434213314, - "Diesel (%)": 55.28204609785685, - "Other (%)": 21.280303467929834, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2590.0166655715657, - "Diesel (Wh/pkm)": 4098.441498666072, - "All Fuels (Wh/pkm)": 3419.932676011134, - "Unlinked Passenger Trips": 55072, + "Gasoline (%)": 31.97541456622831, + "Diesel (%)": 68.02458543377168, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 10696.406545011541, + "Diesel (Wh/pkm)": 8547.215109608233, + "All Fuels (Wh/pkm)": 10570.879447887457, + "Unlinked Passenger Trips": 126981, "Passenger Paid Fares": 18968.0, - "Average Fare": 0.34442184776292856 + "Average Fare": 0.14937667840070562, + "Average Passengers": 0.812619733529976 }, { "NTD ID": 40014, "Mode": "MB", "UACE Code": "35920", - "Diesel (%)": 99.40689017837502, - "Electric (%)": 0.593109821624984, + "Diesel (%)": 97.43901568459484, + "Electric (%)": 2.560984315405168, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1057.9340685595523, - "Electric (Wh/pkm)": 343.9438602170787, - "All Fuels (Wh/pkm)": 1053.6993225084325, - "Unlinked Passenger Trips": 522794, + "Diesel (Wh/pkm)": 2664.5017194115685, + "Electric (Wh/pkm)": 96.96921105617864, + "All Fuels (Wh/pkm)": 2734.2653908817783, + "Unlinked Passenger Trips": 1125929, "Passenger Paid Fares": 538777.0, - "Average Fare": 1.0305722712961511 + "Average Fare": 0.4785177395732768, + "Average Passengers": 2.8371554639050203 }, { "NTD ID": 40014, @@ -4644,63 +4870,64 @@ "UACE Code": "35920", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 266.032581329586, - "All Fuels (Wh/pkm)": 266.032581329586, - "Unlinked Passenger Trips": 61505, + "Gasoline (Wh/pkm)": 473.3292971641049, + "All Fuels (Wh/pkm)": 473.3292971641049, + "Unlinked Passenger Trips": 137775, "Passenger Paid Fares": 405732.0, - "Average Fare": 6.596731973010324 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"NTD ID": 40017, - "Mode": "MB", + "Mode": "DR", "UACE Code": "49582", - "Gasoline (%)": 0.013534948442044, - "Diesel (%)": 58.57462160085066, - "CNG (%)": 39.95345275607705, - "Electric (%)": 1.458390694630241, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 504.5130615979138, - "Diesel (Wh/pkm)": 926.6218174277724, - "CNG (Wh/pkm)": 248.1473626257952, - "Electric (Wh/pkm)": 0.2335755658032529, - "All Fuels (Wh/pkm)": 641.9803545484784, - "Unlinked Passenger Trips": 2783914, - "Passenger Paid Fares": 972803.0, - "Average Fare": 0.349437159337537 + "Gasoline (%)": 100.0, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 7264.493719116825, + "All Fuels (Wh/pkm)": 7264.493719116825, + "Unlinked Passenger Trips": 329418, + "Passenger Paid Fares": 282004.0, + "Average Fare": 0.8560673672962619, + "Average Passengers": 0.9303269207769889 }, { "NTD ID": 40017, - "Mode": "VP", + "Mode": "MB", "UACE Code": "49582", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 365.54070072576883, - "All Fuels (Wh/pkm)": 365.54070072576883, - "Unlinked Passenger Trips": 12861, - "Passenger Paid Fares": 83381.0, - "Average Fare": 6.483243915714175 + "Diesel (%)": 52.09384137490646, + "CNG (%)": 46.49797059631958, + "Electric (%)": 1.4081880287739537, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1892.753798876052, + "CNG (Wh/pkm)": 419.90852954869246, + "Electric (Wh/pkm)": 2.8721493389412127, + "All Fuels (Wh/pkm)": 1181.3599180639471, + "Unlinked Passenger Trips": 6308226, + "Passenger Paid Fares": 972803.0, + "Average Fare": 0.15421181802934772, + "Average Passengers": 7.431048872161816 }, { "NTD ID": 40018, @@ -4708,41 +4935,44 @@ "UACE Code": "51755", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1426.47644299562, - "All Fuels (Wh/pkm)": 1426.47644299562, - "Unlinked Passenger Trips": 321152, + "Gasoline (Wh/pkm)": 5085.560099246521, + "All Fuels (Wh/pkm)": 5085.560099246521, + "Unlinked Passenger Trips": 681431, "Passenger Paid Fares": 871050.0, - "Average Fare": 2.712267088481467 + "Average Fare": 1.278265884586994, + "Average Passengers": 1.5948200446313783 }, { "NTD ID": 40018, "Mode": "MB", "UACE Code": "51755", - "Gasoline (%)": 0.3229982384585176, - "Diesel (%)": 98.9588703637819, - "Electric (%)": 0.7181313977595923, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1018.9500801599288, - "Diesel (Wh/pkm)": 2030.8669565486537, - "Electric (Wh/pkm)": 738.0976993468505, - "All Fuels (Wh/pkm)": 2018.3147009267043, - "Unlinked Passenger Trips": 5020257, + "Gasoline (%)": 0.19523702914120167, + "Diesel (%)": 99.54598402095787, + "Electric (%)": 0.2587789499009246, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3973.6204802273137, + "Diesel (Wh/pkm)": 3575.7081063211604, + "Electric (Wh/pkm)": 2698.474137415503, + "All Fuels (Wh/pkm)": 3574.214881765651, + "Unlinked Passenger Trips": 10907065, "Passenger Paid Fares": 5414539.0, - "Average Fare": 1.0785382102948116 + "Average Fare": 0.4964249319133974, + "Average 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Code": "00901", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 379.0319937534001, - "All Fuels (Wh/pkm)": 388.7688509217893, - "Unlinked Passenger Trips": 286147, + "CNG (Wh/pkm)": 854.8028183576582, + "All Fuels (Wh/pkm)": 866.5133029163735, + "Unlinked Passenger Trips": 549115, "Passenger Paid Fares": 210151.0, - "Average Fare": 0.7344162266247768 + "Average Fare": 0.3827085401054424, + "Average Passengers": 3.942918095116038 }, { "NTD ID": 40022, @@ -4788,11 +5021,12 @@ "UACE Code": "03817", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3732.474604740943, - "All Fuels (Wh/pkm)": 3732.474604740943, - "Unlinked Passenger Trips": 537962, + "Gasoline (Wh/pkm)": 6808.697525879, + "All Fuels (Wh/pkm)": 6808.697525879, + "Unlinked Passenger Trips": 1221849, "Passenger Paid Fares": 708670.0, - "Average Fare": 1.3173235284276585 + "Average Fare": 0.5799980193951954, + "Average Passengers": 0.9485310693726224 }, { "NTD ID": 40022, @@ -4800,47 +5034,51 @@ "UACE Code": "03817", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 49.34733384826008, - "All Fuels (Wh/pkm)": 49.34733384826008, - "Unlinked Passenger Trips": 26079792, + "Electric (Wh/pkm)": 86.2139192338049, + "All Fuels (Wh/pkm)": 86.2139192338049, + "Unlinked Passenger Trips": 56475326, "Passenger Paid Fares": 35871984.0, - "Average Fare": 1.3754704792124108 + "Average Fare": 0.6351797597414489, + "Average Passengers": 60.01501102025777 }, { "NTD ID": 40022, "Mode": "MB", "UACE Code": "03817", - "Diesel (%)": 35.344210282615045, - "CNG (%)": 64.61590363185103, - "Electric (%)": 0.03988608553392611, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1152.6712631360344, - "CNG (Wh/pkm)": 338.88063143014364, - "Electric (Wh/pkm)": 380.130176955887, - "All Fuels (Wh/pkm)": 626.5249563895057, - "Unlinked Passenger Trips": 24674064, + "Diesel (%)": 32.30969835201826, + "CNG (%)": 67.57878250038362, + "Electric (%)": 0.11151914759810638, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 2001.18770299811, + "CNG (Wh/pkm)": 629.049561648011, + "Electric (Wh/pkm)": 519.1973921938584, + "All Fuels (Wh/pkm)": 1072.2607498882248, + "Unlinked Passenger Trips": 55552894, "Passenger Paid Fares": 26841275.0, - "Average Fare": 1.0878335648314765 + "Average Fare": 0.48316609752140005, + "Average Passengers": 4.600721469334205 }, { "NTD ID": 40022, "Mode": "SR", "UACE Code": "03817", - "Unlinked Passenger Trips": 138135, + "Unlinked Passenger Trips": 272921, "Passenger Paid Fares": 35541.0, - "Average Fare": 0.2572917797806494 + "Average Fare": 0.1302244971988231, + "Average Passengers": 2.2007131216572424 }, { "NTD ID": 40023, "Mode": "DR", "UACE Code": "04222", - "Diesel (%)": 100.0, + "Gasoline (%)": 52.87092932528438, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3825.5445157530153, - "All Fuels (Wh/pkm)": 3825.5445157530153, - "Unlinked Passenger Trips": 20907, + "Gasoline (Wh/pkm)": 4574.076774701687, + "All Fuels (Wh/pkm)": 10174.893599512205, + "Unlinked Passenger 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"Unlinked Passenger Trips": 140414, "Passenger Paid Fares": 90569.0, - "Average Fare": 1.2752784466128781 + "Average Fare": 0.6450140299400344, + "Average Passengers": 0.7347450599299535 }, { "NTD ID": 40025, @@ -4872,37 +5112,40 @@ "UACE Code": "79768", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 5137.251908732405, - "All Fuels (Wh/pkm)": 5137.251908732405, - "Unlinked Passenger Trips": 586288 + "Diesel (Wh/pkm)": 10930.525670208486, + "All Fuels (Wh/pkm)": 10930.525670208486, + "Unlinked Passenger Trips": 1188305, + "Average Passengers": 15.834313838581918 }, { "NTD ID": 40025, "Mode": "MB", "UACE Code": "79768", - "Diesel (%)": 98.71098837761167, - "Electric (%)": 1.2890116223883388, + "Diesel (%)": 90.49880764071521, + "Electric (%)": 9.501192359284776, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1927.8609125561745, - "Electric (Wh/pkm)": 952.3353583977892, - "All Fuels (Wh/pkm)": 1915.2862747837046, - "Unlinked Passenger Trips": 1799488, + "Diesel (Wh/pkm)": 4288.498428466381, + "Electric (Wh/pkm)": 369.2145411941318, + "All Fuels (Wh/pkm)": 3916.11972723019, + "Unlinked Passenger Trips": 3414189, "Passenger Paid Fares": 1317914.0, - "Average Fare": 0.7323827666536259 + "Average Fare": 0.38601085060024504, + "Average Passengers": 2.498461331304576 }, { "NTD ID": 40026, "Mode": "DR", "UACE Code": "09536", - "Gasoline (%)": 48.27534891809057, - "Diesel (%)": 51.724651081909435, + "Gasoline (%)": 54.72502613132837, + "Diesel (%)": 45.27497386867162, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3821.1845510837193, - "Diesel (Wh/pkm)": 3678.2424904672234, - "All Fuels (Wh/pkm)": 3747.2482689805456, - "Unlinked Passenger Trips": 64795, + "Gasoline (Wh/pkm)": 7402.178710079563, + "Diesel (Wh/pkm)": 8003.023933789339, + "All Fuels (Wh/pkm)": 7674.211228105325, + "Unlinked Passenger Trips": 136131, "Passenger Paid Fares": 91211.0, - "Average Fare": 1.4076857782236283 + "Average Fare": 0.6700237271451763, + "Average Passengers": 0.849010216855793 }, { "NTD ID": 40026, @@ -4910,11 +5153,12 @@ "UACE Code": "09536", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1090.0017792171216, - "All Fuels (Wh/pkm)": 1090.0017792171216, - "Unlinked Passenger Trips": 1244847, + "Diesel (Wh/pkm)": 2244.5141741379152, + "All Fuels (Wh/pkm)": 2244.5141741379152, + "Unlinked Passenger Trips": 2778768, "Passenger Paid Fares": 727477.0, - "Average Fare": 0.5843906921894819 + "Average Fare": 0.2617983941084682, + "Average Passengers": 4.175853483058187 }, { "NTD ID": 40027, @@ -4922,86 +5166,93 @@ "UACE Code": "86599", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2410.5560853500774, - "All Fuels (Wh/pkm)": 2410.5560853500774, - "Unlinked Passenger Trips": 183090, + "Gasoline (Wh/pkm)": 4389.613053927028, + "All Fuels (Wh/pkm)": 4389.613053927028, + "Unlinked Passenger Trips": 393433, "Passenger Paid Fares": 709730.0, - "Average Fare": 3.8763995849035995 + "Average Fare": 1.8039412047286323, + "Average Passengers": 0.9478811128431276 }, { "NTD ID": 40027, "Mode": "MB", "UACE Code": "86599", - "Gasoline (%)": 2.1452068217343627, - "Diesel (%)": 95.8291825117234, - "Electric (%)": 2.025610666542239, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1091.4449067261592, - "Diesel (Wh/pkm)": 1160.4186925380368, - "Electric (Wh/pkm)": 114.76961815732085, - "All Fuels (Wh/pkm)": 1137.7582829943358, - "Unlinked Passenger Trips": 8465048, + "Gasoline (%)": 1.9838985459306093, + "Diesel (%)": 96.67354954132288, + "Electric (%)": 1.3425519127465186, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2155.4453623560953, + "Diesel (Wh/pkm)": 2202.222128988322, + "Electric (Wh/pkm)": 475.2103236804777, + "All Fuels (Wh/pkm)": 2178.1080953697538, + "Unlinked Passenger Trips": 17406671, "Passenger Paid Fares": 6299190.0, - "Average Fare": 0.7441410846105067 + "Average Fare": 0.36188367092133816, + "Average Passengers": 4.5314203126869215 }, { "NTD ID": 40028, "Mode": "DR", "UACE Code": "13510", - "Gasoline (%)": 25.883491972535293, - "Diesel (%)": 7.556855758604569, - "LPG (%)": 33.27982613443007, - "Other (%)": 33.27982613443007, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3910.6460899276485, - "Diesel (Wh/pkm)": 2119.8964948822777, - "LPG (Wh/pkm)": 4441.2982620046405, - "All Fuels (Wh/pkm)": 2650.465626817265, - "Unlinked Passenger Trips": 174382, + "Gasoline (%)": 43.015059313091626, + "Diesel (%)": 11.391012920129558, + "LPG (%)": 45.59392776677881, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 6216.500617024867, + "Diesel (Wh/pkm)": 3718.9815011574938, + "LPG (Wh/pkm)": 8258.496371715803, + "All Fuels (Wh/pkm)": 6863.033961248183, + "Unlinked Passenger Trips": 391509, "Passenger Paid Fares": 753192.0, - "Average Fare": 4.3192072576298015 + "Average Fare": 1.923817843267971, + "Average Passengers": 0.9757589773415644 }, { "NTD ID": 40028, "Mode": "MB", "UACE Code": "13510", - "Gasoline (%)": 2.1003868026875483, - "Diesel (%)": 97.89961319731245, + "Gasoline (%)": 1.9675073131310068, + "Diesel (%)": 98.032492686869, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1041.486191176152, - "Diesel (Wh/pkm)": 1189.5269419048534, - "All Fuels (Wh/pkm)": 1186.417513513948, - "Unlinked Passenger Trips": 2057592, + "Gasoline (Wh/pkm)": 2597.299142643666, + "Diesel (Wh/pkm)": 2933.322142087574, + "All Fuels (Wh/pkm)": 2926.710864999713, + "Unlinked Passenger Trips": 3583359, "Passenger Paid Fares": 1698542.0, - "Average Fare": 0.82549990474302 + "Average Fare": 0.47400832570780654, + "Average Passengers": 3.2566946327120885 }, { "NTD ID": 40029, "Mode": "DR", "UACE Code": "56602", - "LPG (%)": 49.77145317539558, - "Other (%)": 49.77145317539558, + "Gasoline (%)": 34.1084824906565, + "LPG (%)": 65.8915175093435, "All Fuels (%)": 100, - "LPG (Wh/pkm)": 1727.8183601688797, - "All Fuels (Wh/pkm)": 1784.5696187301442, - "Unlinked Passenger Trips": 773861, + "Gasoline (Wh/pkm)": 12140.21442594102, + "LPG (Wh/pkm)": 5108.676276741325, + "All Fuels (Wh/pkm)": 7507.027235184934, + "Unlinked 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6.172524155729177 }, { "NTD ID": 40030, @@ -5009,27 +5260,29 @@ "UACE Code": "32167", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4480.210727031397, - "All Fuels (Wh/pkm)": 4480.210727031397, - "Unlinked Passenger Trips": 35915, + "Gasoline (Wh/pkm)": 8322.995936879446, + "All Fuels (Wh/pkm)": 8322.995936879446, + "Unlinked Passenger Trips": 80208, "Passenger Paid Fares": 107206.0, - "Average Fare": 2.984992343032159 + "Average Fare": 1.3365998404149213, + "Average Passengers": 0.6818360513130783 }, { "NTD ID": 40030, "Mode": "MB", "UACE Code": "32167", - "Gasoline (%)": 4.408710645472842, - "Diesel (%)": 94.43031671003442, - "Electric (%)": 1.1609726444927404, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 904.4749916843724, - "Diesel (Wh/pkm)": 1522.938357344499, - "Electric (Wh/pkm)": 198.19074823614406, - "All Fuels (Wh/pkm)": 1480.2921397539717, - "Unlinked Passenger Trips": 4302010, + "Gasoline (%)": 4.700524776296217, + "Diesel (%)": 93.9763867305139, + "Electric (%)": 1.3230884931898879, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1482.1310654698204, + "Diesel (Wh/pkm)": 2731.3836289022956, + "Electric (Wh/pkm)": 455.9238753207569, + "All Fuels (Wh/pkm)": 2642.555856472832, + "Unlinked Passenger Trips": 9408618, "Passenger Paid Fares": 316285.0, - "Average Fare": 0.07352028470412668 + "Average Fare": 0.03361652051342716, + "Average Passengers": 4.74619968591404 }, { "NTD ID": 40030, @@ -5037,53 +5290,57 @@ "UACE Code": "32167", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 571.614905900701, - "All Fuels (Wh/pkm)": 571.614905900701, - "Unlinked Passenger Trips": 19633, + "Gasoline (Wh/pkm)": 483.27912133870825, + "All Fuels (Wh/pkm)": 483.27912133870825, + "Unlinked Passenger Trips": 39265, "Passenger Paid Fares": 85081.0, - "Average Fare": 4.3335710283706 + "Average Fare": 2.1668406978224883, + "Average Passengers": 5.688251691551513 }, { "NTD ID": 40031, "Mode": "DR", "UACE Code": "46828", - "Gasoline (%)": 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128.98594630305743, - "All Fuels (Wh/pkm)": 128.98594630305743, - "Unlinked Passenger Trips": 11446854, + "Electric (Wh/pkm)": 217.51850648499192, + "All Fuels (Wh/pkm)": 217.51850648499192, + "Unlinked Passenger Trips": 24708109, "Passenger Paid Fares": 7092534.0, - "Average Fare": 0.6196055265490413 + "Average Fare": 0.2870528861597624, + "Average Passengers": 49.3348119042076 }, { "NTD ID": 40034, "Mode": "MB", "UACE Code": "56602", - "Gasoline (%)": 3.9536750779662637, - "Diesel (%)": 20.130588447602243, - "CNG (%)": 75.9157364744315, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 969.7836394776867, - "Diesel (Wh/pkm)": 1228.1812572446552, - "CNG (Wh/pkm)": 321.31543375959154, - "All Fuels (Wh/pkm)": 529.51118629534, - "Unlinked Passenger Trips": 37225122, + "Gasoline (%)": 2.5704080896778603, + "Diesel (%)": 16.7509705746261, + "CNG (%)": 77.17239631328496, + "Electric (%)": 3.506225022411078, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2173.1098141078123, + "Diesel (Wh/pkm)": 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2175.4715268290092, + "Unlinked Passenger Trips": 815090, + "Average Passengers": 2.03446534182941 }, { "NTD ID": 40035, @@ -5223,53 +5493,57 @@ "UACE Code": "65863", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 280.8400299178829, - "All Fuels (Wh/pkm)": 280.8400299178829, - "Unlinked Passenger Trips": 258459, + "Gasoline (Wh/pkm)": 479.16391930334015, + "All Fuels (Wh/pkm)": 479.16391930334015, + "Unlinked Passenger Trips": 515368, "Passenger Paid Fares": 777428.0, - "Average Fare": 3.0079354946045602 + "Average Fare": 1.5084910200090034, + "Average Passengers": 3.7433841277514572 }, { "NTD ID": 40036, "Mode": "DR", "UACE Code": "86464", - "CNG (%)": 58.226851629626076, + "CNG (%)": 66.11501754352825, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 779.7227456950089, - "All Fuels (Wh/pkm)": 3957.736938996222, - "Unlinked Passenger Trips": 114655, + "CNG (Wh/pkm)": 1654.3436337335893, + "All Fuels (Wh/pkm)": 10109.942055080648, + "Unlinked Passenger Trips": 236627, 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2535.1750108640244, + "All Fuels (Wh/pkm)": 2535.1750108640244, + "Unlinked Passenger Trips": 13800371, "Passenger Paid Fares": 6535945.0, - "Average Fare": 1.0280805514811422 + "Average Fare": 0.47360647043474413, + "Average Passengers": 4.60419943609889 }, { "NTD ID": 40038, @@ -5289,33 +5564,36 @@ "UACE Code": "68482", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2522.9467681056917, - "All Fuels (Wh/pkm)": 2522.9467681056917, - "Unlinked Passenger Trips": 109590, + "Gasoline (Wh/pkm)": 4969.580707556402, + "All Fuels (Wh/pkm)": 4969.580707556402, + "Unlinked Passenger Trips": 222561, "Passenger Paid Fares": 326768.0, - "Average Fare": 2.981731909845789 + "Average Fare": 1.4682177021131286, + "Average Passengers": 0.9485651092757312 }, { "NTD ID": 40038, "Mode": "MB", "UACE Code": "68482", - "Gasoline (%)": 8.067321931699647, - "Diesel (%)": 91.93267806830036, + "Gasoline (%)": 6.550094036664699, + "Diesel (%)": 93.4499059633353, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 614.9494206569732, - "Diesel (Wh/pkm)": 1883.8701450622539, - "All Fuels (Wh/pkm)": 1781.5022251664243, - "Unlinked Passenger Trips": 733141, + "Gasoline (Wh/pkm)": 1897.2045495150628, + "Diesel (Wh/pkm)": 3591.7893164735806, + "All Fuels (Wh/pkm)": 3480.792420706802, + "Unlinked Passenger Trips": 1514556, "Passenger Paid Fares": 473737.0, - "Average Fare": 0.6461744739415747 + "Average Fare": 0.31278935872955504, + "Average Passengers": 2.9342570795438623 }, { "NTD ID": 40040, "Mode": "CB", "UACE Code": "42346", - "Unlinked Passenger Trips": 3954, + "Unlinked Passenger Trips": 8766, "Passenger Paid Fares": 11094.0, - "Average Fare": 2.805766312594841 + "Average Fare": 1.265571526351814, + "Average Passengers": 0.5745108821190645 }, { "NTD ID": 40040, @@ -5323,35 +5601,40 @@ "UACE Code": "42346", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4610.519346202176, - "All Fuels (Wh/pkm)": 4610.519346202176, - "Unlinked Passenger Trips": 245688, + "Gasoline (Wh/pkm)": 6109.355432148299, + "All Fuels (Wh/pkm)": 6109.355432148299, + "Unlinked Passenger Trips": 543560, "Passenger Paid Fares": 676204.0, - "Average Fare": 2.7522874540067077 + "Average Fare": 1.2440282581499742, + "Average Passengers": 0.9383982594023593 }, { "NTD ID": 40040, "Mode": "FB", "UACE Code": "42346", - "Unlinked Passenger Trips": 417351, + "Unlinked Passenger Trips": 722249, "Passenger Paid Fares": 1432549.0, - "Average Fare": 3.432480094692477 + "Average Fare": 1.9834558441756236, + "Average Passengers": 20.786985193480152 }, { "NTD ID": 40040, "Mode": "MB", "UACE Code": "42346", - "Diesel (%)": 35.493666649085895, - "CNG (%)": 64.37811647449114, - "Electric (%)": 0.0905753597895493, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2177.015832774081, - "CNG (Wh/pkm)": 461.2025143304821, - "Electric (Wh/pkm)": 816.8014239171885, - "All Fuels (Wh/pkm)": 1085.0689425873747, - "Unlinked Passenger Trips": 5153249, + "Gasoline (%)": 1.0629137461321114, + "Diesel (%)": 34.46085488212215, + "CNG (%)": 64.23814031886815, + "Electric (%)": 0.2380910528775942, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1762.634437662954, + "Diesel (Wh/pkm)": 3164.2063316392364, + "CNG (Wh/pkm)": 752.624331591654, + "Electric (Wh/pkm)": 530.0381669059193, + "All Fuels (Wh/pkm)": 1593.8816835031253, + "Unlinked Passenger Trips": 10924225, "Passenger Paid Fares": 5872083.0, - "Average Fare": 1.1394914159979461 + "Average Fare": 0.5375285660996547, + "Average Passengers": 3.8099164609180542 }, { "NTD ID": 40040, @@ -5359,9 +5642,10 @@ "UACE Code": "42346", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 1823.8011234156695, - "All Fuels (Wh/pkm)": 1823.8011234156695, - "Unlinked Passenger Trips": 292559 + "Electric (Wh/pkm)": 4536.618663365831, + "All Fuels (Wh/pkm)": 4536.618663365831, + "Unlinked Passenger Trips": 592106, + "Average Passengers": 2.9608900024739837 }, { "NTD ID": 40041, @@ -5369,25 +5653,27 @@ "UACE Code": "86599", "Gasoline 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- "Average Fare": 0.5860252832653302 + "Average Fare": 0.2729474289249911, + "Average Passengers": 6.885346470560063 }, { "NTD ID": 40041, @@ -5395,38 +5681,40 @@ "UACE Code": "86599", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 354.6440124043498, - "All Fuels (Wh/pkm)": 354.6440124043498, - "Unlinked Passenger Trips": 1107584 + "Electric (Wh/pkm)": 639.3823909787696, + "All Fuels (Wh/pkm)": 639.3823909787696, + "Unlinked Passenger Trips": 2388983, + "Average Passengers": 12.923780902608263 }, { "NTD ID": 40042, "Mode": "DR", "UACE Code": "07786", - "Gasoline (%)": 19.17491488017101, - "CNG (%)": 80.82508511982898, + "Gasoline (%)": 21.104260062294703, + "CNG (%)": 78.8957399377053, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1961.7016614538934, - "CNG (Wh/pkm)": 813.5187529970596, - "All Fuels (Wh/pkm)": 1033.6818483623292, - "Unlinked Passenger Trips": 93988, + "Gasoline (Wh/pkm)": 3610.6103128788013, + "CNG (Wh/pkm)": 1549.3461889462728, + "All Fuels 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-5434,11 +5722,12 @@ "UACE Code": "57925", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4541.914487845792, - "All Fuels (Wh/pkm)": 4541.914487845792, - "Unlinked Passenger Trips": 57389, + "Gasoline (Wh/pkm)": 8489.129696916383, + "All Fuels (Wh/pkm)": 8489.129696916383, + "Unlinked Passenger Trips": 122607, "Passenger Paid Fares": 95516.0, - "Average Fare": 1.6643607660004531 + "Average Fare": 0.7790419796585839, + "Average Passengers": 0.8400687517904113 }, { "NTD ID": 40043, @@ -5446,11 +5735,12 @@ "UACE Code": "57925", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2073.0351000954065, - "All Fuels (Wh/pkm)": 2234.3967807024487, - "Unlinked Passenger Trips": 438510, + "Diesel (Wh/pkm)": 3690.2408500244414, + "All Fuels (Wh/pkm)": 3846.6174760389563, + "Unlinked Passenger Trips": 941484, "Passenger Paid Fares": 439671.0, - "Average Fare": 1.0026476021071355 + "Average Fare": 0.4669978459538346, + "Average Passengers": 2.685498331407612 }, { "NTD ID": 40044, @@ -5458,55 +5748,62 @@ "UACE Code": "58600", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2659.7382303617774, - "All Fuels (Wh/pkm)": 2659.7382303617774, - "Unlinked Passenger Trips": 14614, + "Gasoline (Wh/pkm)": 7626.142920976853, + "All Fuels (Wh/pkm)": 7626.142920976853, + "Unlinked Passenger Trips": 29273, "Passenger Paid Fares": 47332.0, - "Average Fare": 3.2388120979882307 + "Average Fare": 1.6169166125781438, + "Average Passengers": 0.6527392868825647 }, { "NTD ID": 40044, "Mode": "MB", "UACE Code": "58600", - "Diesel (%)": 46.83112939186592, - "Diesel (Wh/pkm)": 2870.2086602327427, - "Unlinked Passenger Trips": 330181, + "Gasoline (%)": 80.26671270315656, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 5123.8482098243085, + "All Fuels (Wh/pkm)": 5490.392175958534, + "Unlinked Passenger Trips": 737631, "Passenger Paid Fares": 310838.0, - "Average Fare": 0.9414169803834866 + "Average Fare": 0.421400402098068, + "Average Passengers": 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(Wh/pkm)": 1367.3561238855568, - "All Fuels (Wh/pkm)": 1330.4777773140625, - "Unlinked Passenger Trips": 1688330, + "Gasoline (Wh/pkm)": 1565.621220557329, + "Diesel (Wh/pkm)": 2632.229857217219, + "All Fuels (Wh/pkm)": 2563.957715892515, + "Unlinked Passenger Trips": 3424981, "Passenger Paid Fares": 1006876.0, - "Average Fare": 0.5963739316365876 + "Average Fare": 0.2939800249986788, + "Average Passengers": 3.703526030698049 }, { "NTD ID": 40047, "Mode": "DR", "UACE Code": "03763", - "Unlinked Passenger Trips": 4010 + "Unlinked Passenger Trips": 7644, + "Average Passengers": 0.4797364216197657 }, { "NTD ID": 40047, @@ -5514,11 +5811,12 @@ "UACE Code": "03763", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1237.8059901890485, - "All Fuels (Wh/pkm)": 1237.8059901890485, - "Unlinked Passenger Trips": 964186, + "Diesel (Wh/pkm)": 2150.525978490952, + "All Fuels (Wh/pkm)": 2150.525978490952, + "Unlinked Passenger Trips": 2147339, "Passenger Paid Fares": 2.0, - "Average Fare": 2.0742885708774033e-06 + "Average Fare": 9.313853099114764e-07, + "Average Passengers": 4.764935695129261 }, { "NTD ID": 40051, @@ -5526,21 +5824,23 @@ "UACE Code": "25228", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5378.252141975483, - "All Fuels (Wh/pkm)": 5378.252141975483, - "Unlinked Passenger Trips": 50814 + "Gasoline (Wh/pkm)": 9620.499360689404, + "All Fuels (Wh/pkm)": 9620.499360689404, + "Unlinked Passenger Trips": 108137, + "Average Passengers": 0.667437333201192 }, { "NTD ID": 40051, "Mode": "MB", "UACE Code": "25228", - "Diesel (%)": 99.87272519787786, - "Electric (%)": 0.12727480212214434, + "Diesel (%)": 97.94660505784312, + "Electric (%)": 2.0533949421568933, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 390.9029816950717, - "Electric (Wh/pkm)": 373.34539946768786, - "All Fuels (Wh/pkm)": 390.8806353170344, - "Unlinked Passenger Trips": 3372578 + "Diesel (Wh/pkm)": 3414.9998055533306, + "Electric (Wh/pkm)": 1353.067119667915, + "All Fuels 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Passenger Trips": 651440, + "Gasoline (%)": 2.799962907339763, + "Diesel (%)": 85.71772698736184, + "Electric (%)": 11.482310105298389, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3532.1760648173504, + "Diesel (Wh/pkm)": 2814.679141215921, + "Electric (Wh/pkm)": 569.9915435014079, + "All Fuels (Wh/pkm)": 2577.0267980733115, + "Unlinked Passenger Trips": 1400209, "Passenger Paid Fares": 516887.0, - "Average Fare": 0.7934529657374432 + "Average Fare": 0.3691498911948145, + "Average Passengers": 3.7769370119495016 }, { "NTD ID": 40057, @@ -5576,11 +5878,12 @@ "UACE Code": "42265", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2745.4732348077787, - "All Fuels (Wh/pkm)": 2745.4732348077787, - "Unlinked Passenger Trips": 28154, + "Gasoline (Wh/pkm)": 8186.812990785362, + "All Fuels (Wh/pkm)": 8186.812990785362, + "Unlinked Passenger Trips": 54986, "Passenger Paid Fares": 39522.0, - "Average Fare": 1.4037792143212333 + "Average Fare": 0.7187647764885607, + "Average 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42707, "Passenger Paid Fares": 12523.0, - "Average Fare": 0.5985851536733425 + "Average Fare": 0.29323061793148664, + "Average Passengers": 0.9489736723641038 }, { "NTD ID": 40058, "Mode": "MB", "UACE Code": "76204", - "Gasoline (%)": 66.75526094721758, - "Diesel (%)": 33.24473905278242, + "Gasoline (%)": 32.82406841557499, + "Diesel (%)": 67.175931584425, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1490.7450299702743, - "Diesel (Wh/pkm)": 2133.68821936601, - "All Fuels (Wh/pkm)": 1704.4898155425233, - "Unlinked Passenger Trips": 144089, + "Gasoline (Wh/pkm)": 2445.8739723886024, + "Diesel (Wh/pkm)": 1524.9187720904547, + "All Fuels (Wh/pkm)": 1827.2137371131148, + "Unlinked Passenger Trips": 326851, "Passenger Paid Fares": 23.0, - "Average Fare": 0.00015962356599046423 + "Average Fare": 7.036845535121508e-05, + "Average Passengers": 4.561561096208583 }, { "NTD ID": 40063, "Mode": "DR", "UACE Code": "67105", - "Gasoline (%)": 7.150757417274775, - "Diesel (%)": 92.84924258272524, + "Gasoline (%)": 10.037422308763077, + "Diesel (%)": 89.96257769123692, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3190.670069754243, - "Diesel (Wh/pkm)": 666.5642226934768, - "All Fuels (Wh/pkm)": 847.0569087720406, - "Unlinked Passenger Trips": 56279, + "Gasoline (Wh/pkm)": 3313.4595602873364, + "Diesel (Wh/pkm)": 1023.0520622024976, + "All Fuels (Wh/pkm)": 1252.9499353768474, + "Unlinked Passenger Trips": 138464, "Passenger Paid Fares": 112383.0, - "Average Fare": 1.9968904920130066 + "Average Fare": 0.8116405708342963, + "Average Passengers": 1.4504651278045702 }, { "NTD ID": 40063, @@ -5642,11 +5947,12 @@ "UACE Code": "67105", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3194.0059464204182, - "All Fuels (Wh/pkm)": 3194.0059464204182, - "Unlinked Passenger Trips": 1641202, + "Diesel (Wh/pkm)": 6292.130167002038, + "All Fuels (Wh/pkm)": 6292.130167002038, + "Unlinked Passenger Trips": 3380234, "Passenger Paid Fares": 742118.0, - "Average Fare": 0.45217956107779544 + "Average Fare": 0.2195463390996008, + "Average Passengers": 4.535110502019822 }, { "NTD ID": 40063, @@ -5654,25 +5960,12 @@ "UACE Code": "67105", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 131.40298479874303, - "All Fuels (Wh/pkm)": 131.40298479874303, - "Unlinked Passenger Trips": 37194, + "Gasoline (Wh/pkm)": 541.644870539196, + "All Fuels (Wh/pkm)": 541.644870539196, + "Unlinked Passenger Trips": 71945, "Passenger Paid Fares": 201942.0, - "Average Fare": 5.429424100661397 - }, - { - "NTD ID": 40068, - "Mode": "DR", - "UACE Code": "29953", - "Gasoline (%)": 98.96975885806452, - "Diesel (%)": 1.030241141935466, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1654.865767020378, - "Diesel (Wh/pkm)": 1150.492184370815, - "All Fuels (Wh/pkm)": 1649.6695028628683, - "Unlinked Passenger Trips": 60486, - "Passenger Paid Fares": 128404.0, - "Average Fare": 2.1228714082597624 + "Average Fare": 2.8068941552574884, + "Average Passengers": 3.972680639226579 }, { "NTD ID": 40071, @@ -5680,11 +5973,12 @@ "UACE Code": "40780", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3539.881430248461, - "All Fuels (Wh/pkm)": 3539.881430248461, - "Unlinked Passenger Trips": 81092, + "Gasoline (Wh/pkm)": 5725.090501318202, + "All Fuels (Wh/pkm)": 5725.090501318202, + "Unlinked Passenger Trips": 178913, "Passenger Paid Fares": 160485.0, - "Average Fare": 1.9790484881369308 + "Average Fare": 0.8970002179830421, + "Average Passengers": 0.8831959167648213 }, { "NTD ID": 40071, @@ -5692,25 +5986,27 @@ "UACE Code": "40780", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1527.3704411445904, - "All Fuels (Wh/pkm)": 1527.3704411445904, - "Unlinked Passenger Trips": 543420, + "Diesel (Wh/pkm)": 2197.643140074306, + "All Fuels (Wh/pkm)": 2197.643140074306, + "Unlinked Passenger Trips": 1147165, "Passenger Paid Fares": 281411.0, - "Average Fare": 0.5178517537079975 + "Average Fare": 0.2453099597703905, + "Average Passengers": 3.185713237171505 }, { "NTD ID": 40074, "Mode": "DR", "UACE Code": "86599", - "Gasoline (%)": 96.4774988077656, - "Diesel (%)": 3.522501192234404, + "Gasoline (%)": 97.12185822824534, + "Diesel (%)": 2.8781417717546427, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3887.0104103604913, - "Diesel (Wh/pkm)": 5957.076684785645, - "All Fuels (Wh/pkm)": 3959.9285195571592, - "Unlinked Passenger Trips": 42468, + "Gasoline (Wh/pkm)": 7392.649119662283, + "Diesel (Wh/pkm)": 10248.97358236084, + "All Fuels (Wh/pkm)": 7474.858187160055, + "Unlinked Passenger Trips": 86435, "Passenger Paid Fares": 44585.0, - "Average Fare": 1.049849298295187 + "Average Fare": 0.5158211372707815, + "Average Passengers": 0.8514912048314736 }, { "NTD ID": 40074, @@ -5718,11 +6014,12 @@ "UACE Code": "86599", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2200.6248783153455, - "All Fuels (Wh/pkm)": 2200.6248783153455, - "Unlinked Passenger Trips": 559249, + "Diesel (Wh/pkm)": 3548.1512390538146, + "All Fuels (Wh/pkm)": 3548.1512390538146, + "Unlinked Passenger Trips": 1198836, "Passenger Paid Fares": 530895.0, - "Average Fare": 0.949299864639901 + "Average Fare": 0.44284205679509125, + "Average Passengers": 2.0927114114917345 }, { "NTD ID": 40077, @@ -5730,11 +6027,12 @@ "UACE Code": "56602", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 764.2011919208402, - "All Fuels (Wh/pkm)": 764.2011919208402, - "Unlinked Passenger Trips": 3041459, + "Diesel (Wh/pkm)": 1345.5866367617796, + "All Fuels (Wh/pkm)": 1345.5866367617796, + "Unlinked Passenger Trips": 6777356, "Passenger Paid Fares": 8862905.0, - "Average Fare": 2.914030733276365 + "Average Fare": 1.3077231002768632, + "Average Passengers": 79.98540667887056 }, { "NTD ID": 40077, @@ -5742,41 +6040,39 @@ "UACE Code": "56602", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 760.1117168853747, - "All Fuels (Wh/pkm)": 760.1117168853747, - "Unlinked Passenger Trips": 278901 + "Diesel (Wh/pkm)": 1364.4924728556684, + "All Fuels (Wh/pkm)": 1364.4924728556684, + "Unlinked Passenger Trips": 665070, + "Average Passengers": 9.859411635229154 }, { "NTD ID": 40078, "Mode": "CB", "UACE Code": "03817", - "Unlinked Passenger Trips": 4571, + "Unlinked Passenger Trips": 18652, "Passenger Paid Fares": 15025.0, - "Average Fare": 3.2870269087726975 + "Average Fare": 0.8055436414325542, + "Average Passengers": 0.5493794960996615 }, { "NTD ID": 40078, "Mode": "DR", "UACE Code": "03817", - "Diesel (%)": 100.0, - "Diesel (Wh/pkm)": 5191.969370505025, - "Unlinked Passenger Trips": 54052, + "Unlinked Passenger Trips": 105284, "Passenger Paid Fares": 25896.0, - "Average Fare": 0.479094205579812 + "Average Fare": 0.24596329926674518, + "Average Passengers": 0.8446370977702502 }, { "NTD ID": 40078, "Mode": "MB", "UACE Code": "03817", - "Diesel (%)": 97.83688897930446, - "CNG (%)": 2.163111020695553, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3418.295926905617, - "CNG (Wh/pkm)": 841.9320144062982, - "All Fuels (Wh/pkm)": 3362.566315181122, - "Unlinked Passenger Trips": 934924, + "CNG (%)": 5.529998040342128, + "CNG (Wh/pkm)": 1537.6257388774206, + "Unlinked Passenger Trips": 1723685, "Passenger Paid Fares": 1811628.0, - "Average Fare": 1.937727558603694 + "Average Fare": 1.0510203430441176, + "Average Passengers": 1.2437443691969183 }, { "NTD ID": 40082, @@ -5784,19 +6080,21 @@ "UACE Code": "03817", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3394.6414076320825, - "All Fuels (Wh/pkm)": 3394.6414076320825, - "Unlinked Passenger Trips": 15330, + "Gasoline (Wh/pkm)": 4894.887007567517, + "All Fuels (Wh/pkm)": 4894.887007567517, + "Unlinked Passenger Trips": 38094, "Passenger Paid Fares": 5244.0, - "Average Fare": 0.3420743639921722 + "Average Fare": 0.13765947393290281, + "Average Passengers": 0.9716174691628996 }, { "NTD ID": 40082, "Mode": "MB", "UACE Code": "03817", - "Unlinked Passenger Trips": 25259, + "Unlinked Passenger Trips": 52366, "Passenger Paid Fares": 22347.0, - "Average Fare": 0.8847143592382913 + "Average Fare": 0.42674636214337547, + "Average Passengers": 0.5325020494830668 }, { "NTD ID": 40086, @@ -5804,11 +6102,12 @@ "UACE Code": "79093", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1761.1206250944479, - "All Fuels (Wh/pkm)": 1761.1206250944479, - "Unlinked Passenger Trips": 48281, + "Gasoline (Wh/pkm)": 3201.835347725673, + "All Fuels (Wh/pkm)": 3201.835347725673, + "Unlinked Passenger Trips": 107789, "Passenger Paid Fares": 48281.0, - "Average Fare": 1.0 + "Average Fare": 0.4479214019983486, + "Average Passengers": 1.6278582776138684 }, { "NTD ID": 40086, @@ -5816,11 +6115,12 @@ "UACE Code": "79093", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2345.4781517635515, - "All Fuels (Wh/pkm)": 2345.4781517635515, - "Unlinked Passenger Trips": 2071143, + "Diesel (Wh/pkm)": 5410.017035006576, + "All Fuels (Wh/pkm)": 5410.017035006576, + "Unlinked Passenger 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(Wh/pkm)": 114.59307965953721, - "All Fuels (Wh/pkm)": 114.59307965953721, - "Unlinked Passenger Trips": 2122708, + "Electric (Wh/pkm)": 193.39198380736744, + "All Fuels (Wh/pkm)": 193.39198380736744, + "Unlinked Passenger Trips": 4855959, "Passenger Paid Fares": 3140355.0, - "Average Fare": 1.4794097916435045 + "Average Fare": 0.646701300402248, + "Average Passengers": 17.751172769948468 }, { "NTD ID": 40094, @@ -5900,24 +6206,25 @@ "UACE Code": "79093", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2817.4321865707284, - "All Fuels (Wh/pkm)": 2817.4321865707284, - "Unlinked Passenger Trips": 842286, + "Diesel (Wh/pkm)": 6011.980425026658, + "All Fuels (Wh/pkm)": 6011.980425026658, + "Unlinked Passenger Trips": 1841047, "Passenger Paid Fares": 404971.0, - "Average Fare": 0.4807998708277236 + "Average Fare": 0.21996776834051493, + "Average Passengers": 2.8113300780208874 }, { "NTD ID": 40100, "Mode": "CB", "UACE Code": "85708", - "LPG (%)": 49.66055849746657, - "Other (%)": 49.66055849746657, + "LPG (%)": 99.85257056451613, "All Fuels (%)": 100, - "LPG (Wh/pkm)": 30.098812080339947, - "All Fuels (Wh/pkm)": 122.74439111331759, - "Unlinked Passenger Trips": 3252, + "LPG (Wh/pkm)": 181.84999823595984, + "All Fuels (Wh/pkm)": 390.42344204184815, + "Unlinked Passenger Trips": 6460, "Passenger Paid Fares": 4407.0, - "Average Fare": 1.3551660516605166 + "Average Fare": 0.6821981424148607, + "Average Passengers": 2.3318463857533476 }, { "NTD ID": 40100, @@ -5925,23 +6232,25 @@ "UACE Code": "85708", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 921.3129070551948, - "All Fuels (Wh/pkm)": 1044.9491956200577, - "Unlinked Passenger Trips": 17080, + "Gasoline (Wh/pkm)": 2037.1543922183084, + "All Fuels (Wh/pkm)": 2311.0546156812734, + "Unlinked Passenger Trips": 42379, "Passenger Paid Fares": 13867.0, - "Average Fare": 0.8118852459016394 + "Average Fare": 0.3272139503055759, + "Average Passengers": 0.9889871378027032 }, { "NTD ID": 40100, "Mode": "MB", "UACE Code": "85708", - "Gasoline (%)": 98.91133817591276, + "Gasoline (%)": 99.57415228031735, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2176.87873008573, - "All Fuels (Wh/pkm)": 2536.1328210559054, - "Unlinked Passenger Trips": 65130, + "Gasoline (Wh/pkm)": 4603.6880333127065, + "All Fuels (Wh/pkm)": 5339.429838723973, + "Unlinked Passenger Trips": 126496, "Passenger Paid Fares": 27882.0, - "Average Fare": 0.42809765085214185 + "Average Fare": 0.2204180369339742, + "Average Passengers": 1.3048472468882195 }, { "NTD ID": 40104, @@ -5949,21 +6258,23 @@ "UACE Code": "90406", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4666.701559745086, - "All Fuels (Wh/pkm)": 4666.701559745086, - "Unlinked Passenger Trips": 34469 + "Gasoline (Wh/pkm)": 10767.150873378452, + "All Fuels (Wh/pkm)": 10767.150873378452, + "Unlinked Passenger Trips": 65832, + "Average Passengers": 0.6608480756351559 }, { "NTD ID": 40104, "Mode": "MB", "UACE Code": "90406", - "Gasoline 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"Unlinked Passenger Trips": 76646, + "Diesel (Wh/pkm)": 345.6941428413219, + "All Fuels (Wh/pkm)": 345.6941428413219, + "Unlinked Passenger Trips": 143398, "Passenger Paid Fares": 91421.0, - "Average Fare": 1.1927693552174934 + "Average Fare": 0.6375332989302501, + "Average Passengers": 4.394625721519218 }, { "NTD ID": 40110, @@ -6013,39 +6328,42 @@ "UACE Code": "15508", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3071.9563929205, - "All Fuels (Wh/pkm)": 3071.9563929205, - "Unlinked Passenger Trips": 67942, + "Gasoline (Wh/pkm)": 4779.123459518107, + "All Fuels (Wh/pkm)": 4779.123459518107, + "Unlinked Passenger Trips": 138138, "Passenger Paid Fares": 271768.0, - "Average Fare": 4.0 + "Average Fare": 1.9673659673659674, + "Average Passengers": 0.9716747618909671 }, { "NTD ID": 40110, "Mode": "MB", "UACE Code": "15508", - "Gasoline (%)": 12.993573565112701, - "Diesel (%)": 62.66540615985014, - "Electric (%)": 24.341020275037156, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 541.1408868687083, - "Diesel (Wh/pkm)": 2440.770141419496, - "Electric (Wh/pkm)": 390.595923636497, - "All Fuels (Wh/pkm)": 1694.9070947408934, - "Unlinked Passenger Trips": 2067501, + "Gasoline (%)": 10.916540511435906, + "Diesel (%)": 49.39279666638054, + "Electric (%)": 39.690662822183555, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 909.1050051912392, + "Diesel (Wh/pkm)": 4322.515001902207, + "Electric (Wh/pkm)": 567.6600653561022, + "All Fuels (Wh/pkm)": 2459.5619044632217, + "Unlinked Passenger Trips": 4161453, "Passenger Paid Fares": 2339547.0, - "Average Fare": 1.1315820403472598 + "Average Fare": 0.5621947430380687, + "Average Passengers": 4.005887735119893 }, { "NTD ID": 40128, "Mode": "DR", "UACE Code": "61372", - "Gasoline (%)": 99.89343525659015, + "Gasoline (%)": 99.99663355884, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2707.9671813896566, - "All Fuels (Wh/pkm)": 2801.4289597642974, - "Unlinked Passenger Trips": 42754, + "Gasoline (Wh/pkm)": 4345.5672588302405, + "All Fuels (Wh/pkm)": 4477.003515068377, + "Unlinked Passenger Trips": 90767, "Passenger Paid Fares": 84839.0, - "Average Fare": 1.9843523413013986 + "Average Fare": 0.9346899203455, + "Average Passengers": 0.8256424972724492 }, { "NTD ID": 40128, @@ -6053,37 +6371,36 @@ "UACE Code": "61372", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2698.763340925414, - "All Fuels (Wh/pkm)": 2698.763340925414, - "Unlinked Passenger Trips": 61913, + "Gasoline (Wh/pkm)": 3140.1878913010332, + "All Fuels (Wh/pkm)": 3140.1878913010332, + "Unlinked Passenger Trips": 118916, "Passenger Paid Fares": 59030.0, - "Average Fare": 0.9534346583108556 + "Average Fare": 0.49640082074741837, + "Average Passengers": 0.7445761711527488 }, { "NTD ID": 40129, "Mode": "DR", "UACE Code": "71060", - "Gasoline (%)": 47.59678805564439, - "Diesel (%)": 52.40321194435561, + "Gasoline (%)": 49.74159787831432, + "Diesel (%)": 50.25840212168568, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2369.5885396334734, - "Diesel (Wh/pkm)": 1860.3814717591697, - "All Fuels (Wh/pkm)": 2102.7476806196637, - "Unlinked Passenger Trips": 68825, + "Gasoline (Wh/pkm)": 4137.628017454112, + "Diesel (Wh/pkm)": 3260.542289935181, + "All Fuels (Wh/pkm)": 3696.8187455657353, + "Unlinked Passenger Trips": 127228, "Passenger Paid Fares": 6175.0, - "Average Fare": 0.08972030512168544 + "Average Fare": 0.048534913698242525, + "Average Passengers": 1.1632411553439175 }, { "NTD ID": 40138, "Mode": "CB", "UACE Code": "03817", - "Diesel (%)": 100.0, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1179.124035756106, - "All Fuels (Wh/pkm)": 1179.124035756106, - "Unlinked Passenger Trips": 137300, + "Unlinked Passenger Trips": 293650, "Passenger Paid Fares": 690668.0, - "Average Fare": 5.030356882738529 + "Average Fare": 2.3520108973267497, + "Average Passengers": 4.429610681708983 }, { "NTD ID": 40138, @@ -6091,11 +6408,12 @@ "UACE Code": "03817", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 6137.429659708342, - "All Fuels (Wh/pkm)": 6137.429659708342, - "Unlinked Passenger Trips": 20313, + "Gasoline (Wh/pkm)": 8745.124703246089, + "All Fuels (Wh/pkm)": 8745.124703246089, + "Unlinked Passenger Trips": 50199, "Passenger Paid Fares": 40989.0, - "Average Fare": 2.0178703293457394 + "Average Fare": 0.8165302097651348, + "Average Passengers": 0.562130477410515 }, { "NTD ID": 40138, @@ -6103,78 +6421,81 @@ "UACE Code": "03817", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1345.599188837788, - "All Fuels (Wh/pkm)": 1345.599188837788, - "Unlinked Passenger Trips": 826619, + "Diesel (Wh/pkm)": 2515.9305374282762, + "All Fuels (Wh/pkm)": 2515.9305374282762, + "Unlinked Passenger Trips": 1817546, "Passenger Paid Fares": 1027312.0, - "Average Fare": 1.2427877897798139 + "Average Fare": 0.5652192571742338, + "Average Passengers": 3.4740546208367604 }, { "NTD ID": 40140, "Mode": "DR", "UACE Code": "08974", - "Gasoline (%)": 75.53714712666081, - "Diesel (%)": 24.46285287333918, + "Gasoline (%)": 75.64524759570388, + "Diesel (%)": 24.354752404296125, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2720.6466411297047, - "Diesel (Wh/pkm)": 1917.4303453072905, - "All Fuels (Wh/pkm)": 2524.1570204279824, - "Unlinked Passenger Trips": 83942, + "Gasoline (Wh/pkm)": 4672.98399472549, + "Diesel (Wh/pkm)": 3259.885348560666, + "All Fuels (Wh/pkm)": 4328.827318223586, + "Unlinked Passenger Trips": 205529, "Passenger Paid Fares": 173403.0, - "Average Fare": 2.065747778227824 + "Average Fare": 0.8436911579387824, + "Average Passengers": 1.089973451236382 }, { "NTD ID": 40140, "Mode": "MB", "UACE Code": "08974", - "Gasoline (%)": 3.0023249030373123, - "Diesel (%)": 96.9976750969627, + "Gasoline (%)": 3.603992983714336, + "Diesel (%)": 96.39600701628565, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2168.887198583744, - "Diesel (Wh/pkm)": 1598.2293456675204, - "All Fuels (Wh/pkm)": 1615.3623484967618, - "Unlinked Passenger Trips": 662396, + "Gasoline (Wh/pkm)": 3108.6831690256067, + "Diesel (Wh/pkm)": 2333.634670025157, + "All Fuels (Wh/pkm)": 2361.5673635495164, + "Unlinked Passenger Trips": 1385314, "Passenger Paid Fares": 780612.0, - "Average Fare": 1.1784672612757323 + "Average Fare": 0.5634910208082788, + "Average Passengers": 3.86819264442085 }, { "NTD ID": 40141, "Mode": "CB", "UACE Code": "18964", - "Other (%)": 50.0, - "Unlinked Passenger Trips": 1411, + "Unlinked Passenger Trips": 7810, "Passenger Paid Fares": 7419.0, - "Average Fare": 5.257973068745571 + "Average Fare": 0.9499359795134443, + "Average Passengers": 0.3919285497439111 }, { "NTD ID": 40141, "Mode": "DR", "UACE Code": "18964", - "Gasoline (%)": 17.053135963035853, - "LPG (%)": 41.47343201848208, - "Other (%)": 41.47343201848208, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1155.4747686332823, - "LPG (Wh/pkm)": 4599.496949703538, - "All Fuels (Wh/pkm)": 2104.6139239410613, - "Unlinked Passenger Trips": 86311, + "Gasoline (%)": 8.01696240860462, + "LPG (%)": 91.98303759139537, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3845.6090444133597, + "LPG (Wh/pkm)": 6160.446665784137, + "All Fuels (Wh/pkm)": 5974.867003858604, + "Unlinked Passenger Trips": 226550, "Passenger Paid Fares": 344219.0, - "Average Fare": 3.988124341045753 + "Average Fare": 1.519395276980799, + "Average Passengers": 1.3859494198092568 }, { "NTD ID": 40141, "Mode": "MB", "UACE Code": "18964", - "Diesel (%)": 58.48819185444405, - "LPG (%)": 20.755904072777977, - "Other (%)": 20.755904072777977, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2367.5988814154393, - "LPG (Wh/pkm)": 2482.4357966115567, - "All Fuels (Wh/pkm)": 1900.01776871893, - "Unlinked Passenger Trips": 1546211, + "Diesel (%)": 79.51641314120883, + "LPG (%)": 20.483586858791163, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 3407.3362225412952, + "LPG (Wh/pkm)": 3872.220584905332, + "All Fuels (Wh/pkm)": 3502.5612146990698, + "Unlinked Passenger Trips": 3330025, "Passenger Paid Fares": 1404820.0, - "Average Fare": 0.908556464803316 + "Average Fare": 0.4218647007154601, + "Average Passengers": 3.2777238231633596 }, { "NTD ID": 40141, @@ -6182,11 +6503,12 @@ "UACE Code": "18964", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 419.9310171189313, - "All Fuels (Wh/pkm)": 419.9310171189313, - "Unlinked Passenger Trips": 31584, + "Gasoline (Wh/pkm)": 725.552118048877, + "All Fuels (Wh/pkm)": 725.552118048877, + "Unlinked Passenger Trips": 69605, "Passenger Paid Fares": 214768.0, - "Average Fare": 6.799898682877406 + "Average Fare": 3.0855254651246318, + "Average Passengers": 4.0521086784931795 }, { "NTD ID": 40147, @@ -6194,9 +6516,10 @@ "UACE Code": "73261", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1041.9826257331351, - "All Fuels (Wh/pkm)": 1041.9826257331351, - "Unlinked Passenger Trips": 2250535 + "Diesel (Wh/pkm)": 1867.6903918482342, + "All Fuels (Wh/pkm)": 1867.6903918482342, + "Unlinked Passenger Trips": 4810630, + "Average 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Passenger Trips": 177662, "Passenger Paid Fares": 267101.0, - "Average Fare": 3.37206160838278 + "Average Fare": 1.503422228726458, + "Average Passengers": 19.411027985946227 }, { "NTD ID": 40159, @@ -6254,11 +6577,12 @@ "UACE Code": "61273", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 228.98444859201368, - "All Fuels (Wh/pkm)": 228.98444859201368, - "Unlinked Passenger Trips": 16912, + "Gasoline (Wh/pkm)": 423.9813055318631, + "All Fuels (Wh/pkm)": 423.9813055318631, + "Unlinked Passenger Trips": 31707, "Passenger Paid Fares": 65495.0, - "Average Fare": 3.87269394512772 + "Average Fare": 2.065632194783486, + "Average Passengers": 6.39562765641712 }, { "NTD ID": 40169, @@ -6266,11 +6590,12 @@ "UACE Code": "07786", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 542.4742032918818, - "All Fuels (Wh/pkm)": 542.4742032918818, - "Unlinked Passenger Trips": 46444, + "Gasoline (Wh/pkm)": 839.5322689941042, + "All Fuels (Wh/pkm)": 839.5322689941042, 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100, - "Gasoline (Wh/pkm)": 2028.2908634359162, - "Diesel (Wh/pkm)": 2478.3932370771417, - "All Fuels (Wh/pkm)": 2370.9640657136624, - "Unlinked Passenger Trips": 246925, + "Gasoline (Wh/pkm)": 3425.602405310083, + "Diesel (Wh/pkm)": 3873.6372822889994, + "All Fuels (Wh/pkm)": 3767.9573156111705, + "Unlinked Passenger Trips": 506167, "Passenger Paid Fares": 250516.0, - "Average Fare": 1.0145428773919207 + "Average Fare": 0.49492756343262206, + "Average Passengers": 1.7540654273054432 }, { "NTD ID": 40173, @@ -6328,11 +6655,12 @@ "UACE Code": "35164", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 139.9640651281316, - "All Fuels (Wh/pkm)": 139.9640651281316, - "Unlinked Passenger Trips": 56681, + "Gasoline (Wh/pkm)": 251.8388887325617, + "All Fuels (Wh/pkm)": 251.8388887325617, + "Unlinked Passenger Trips": 164947, "Passenger Paid Fares": 179509.0, - "Average Fare": 3.167004816428786 + "Average Fare": 1.0882829029930827, + "Average Passengers": 6.651141574498904 }, { "NTD ID": 40175, @@ -6340,11 +6668,12 @@ "UACE Code": "79093", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 4608.467668222149, - "All Fuels (Wh/pkm)": 4608.467668222149, - "Unlinked Passenger Trips": 980551, + "Diesel (Wh/pkm)": 5504.455818444121, + "All Fuels (Wh/pkm)": 5504.455818444121, + "Unlinked Passenger Trips": 2366345, "Passenger Paid Fares": 1702564.0, - "Average Fare": 1.736333959171935 + "Average Fare": 0.7194910294145612, + "Average Passengers": 71.21204191101415 }, { "NTD ID": 40178, @@ -6352,37 +6681,51 @@ "UACE Code": "61273", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 198.2395666800511, - "All Fuels (Wh/pkm)": 198.2395666800511, - "Unlinked Passenger Trips": 77626, + "Gasoline (Wh/pkm)": 431.9539751346492, + "All Fuels (Wh/pkm)": 431.9539751346492, + "Unlinked Passenger Trips": 156418, "Passenger Paid Fares": 467743.0, - "Average Fare": 6.025597093757247 + "Average Fare": 2.9903399864465725, + "Average Passengers": 5.167205320020918 }, { "NTD ID": 40180, "Mode": "DR", "UACE Code": "03763", - "Unlinked Passenger Trips": 6156 + "Gasoline (%)": 99.31884057971014, + "Electric (%)": 0.6811594202898551, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 8852.566186356687, + "Electric (Wh/pkm)": 10629.5162818675, + "All Fuels (Wh/pkm)": 8864.670049326109, + "Unlinked Passenger Trips": 13069, + "Average Passengers": 0.7897931201355002 }, { "NTD ID": 40180, "Mode": "MB", "UACE Code": "03763", - "Diesel (%)": 23.105685667063142, - "Electric (%)": 76.89431433293686, + "Diesel (%)": 37.34608216260239, + "Electric (%)": 62.6539178373976, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1317.9131631203209, - "Electric (Wh/pkm)": 124.59968033082117, - "All Fuels (Wh/pkm)": 400.32294268684655, - "Unlinked Passenger Trips": 2525718 + "Diesel (Wh/pkm)": 2363.705648754765, + "Electric (Wh/pkm)": 420.0032818499854, + "All Fuels (Wh/pkm)": 1145.899964790692, + "Unlinked Passenger Trips": 5459824, + "Average Passengers": 5.6078115951354475 }, { "NTD ID": 40185, "Mode": "DR", "UACE Code": "67305", - "Unlinked Passenger Trips": 45452, + "Gasoline (%)": 100.0, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 4044.821243709088, + "All Fuels (Wh/pkm)": 4044.821243709088, + "Unlinked Passenger Trips": 95245, "Passenger Paid Fares": 48945.0, - "Average Fare": 1.0768503036170025 + "Average Fare": 0.5138852433198593, + "Average Passengers": 1.5328839314446197 }, { "NTD ID": 40185, @@ -6390,25 +6733,27 @@ "UACE Code": "67305", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1398.5733257125378, - "All Fuels (Wh/pkm)": 1398.5733257125378, - "Unlinked Passenger Trips": 303829, + "Diesel (Wh/pkm)": 2291.881764407198, + "All Fuels (Wh/pkm)": 2291.881764407198, + "Unlinked Passenger Trips": 652436, "Passenger Paid Fares": 344741.0, - "Average Fare": 1.1346546906319015 + "Average Fare": 0.5283905241280371, + "Average Passengers": 3.9853069172986557 }, { "NTD ID": 40191, "Mode": "DR", "UACE Code": "26750", - "Gasoline (%)": 97.81006190214991, - "Electric (%)": 2.1899380978500913, + "Gasoline (%)": 97.03808992506472, + "Electric (%)": 2.961910074935269, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1996.6568157730412, - "Electric (Wh/pkm)": 182.53941829391252, - "All Fuels (Wh/pkm)": 1956.9287677459195, - "Unlinked Passenger Trips": 93175, + "Gasoline (Wh/pkm)": 3675.796868702712, + "Electric (Wh/pkm)": 248.29947334352016, + "All Fuels (Wh/pkm)": 3574.277478031424, + "Unlinked Passenger Trips": 182371, "Passenger Paid Fares": 294296.0, - "Average Fare": 3.1585296485108665 + "Average Fare": 1.6137214798405448, + "Average Passengers": 0.9641059313520679 }, { "NTD ID": 40191, @@ -6416,21 +6761,19 @@ "UACE Code": "26750", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 321.11472717404286, - "All Fuels (Wh/pkm)": 321.11472717404286, - "Unlinked Passenger Trips": 9847 + "Gasoline (Wh/pkm)": 984.11042787744, + "All Fuels (Wh/pkm)": 984.11042787744, + "Unlinked Passenger Trips": 19086, + "Average Passengers": 2.7358720822642684 }, { "NTD ID": 40192, "Mode": "CB", "UACE Code": "71479", - "Diesel (%)": 100.0, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2536.2959926578274, - "All Fuels (Wh/pkm)": 2536.2959926578274, - "Unlinked Passenger Trips": 9454, + "Unlinked Passenger Trips": 20528, "Passenger Paid Fares": 11016.0, - "Average Fare": 1.165221070446372 + "Average Fare": 0.5366328916601715, + "Average Passengers": 1.395904215576701 }, { "NTD ID": 40192, @@ -6438,31 +6781,21 @@ "UACE Code": "71479", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 6122.799621891605, - "All Fuels (Wh/pkm)": 6122.799621891605, - "Unlinked Passenger Trips": 3765, + "Gasoline (Wh/pkm)": 10840.045042533842, + "All Fuels (Wh/pkm)": 10840.045042533842, + "Unlinked Passenger Trips": 7614, "Passenger Paid Fares": 9564.0, - "Average Fare": 2.5402390438247013 + "Average Fare": 1.256107171000788, + "Average Passengers": 0.6141881638846738 }, { "NTD ID": 40192, "Mode": "MB", "UACE Code": "71479", - "Unlinked Passenger Trips": 79450, + "Unlinked Passenger Trips": 172018, "Passenger Paid Fares": 95452.0, - "Average Fare": 1.201409691629956 - }, - { - "NTD ID": 40196, - "Mode": "VP", - "UACE Code": "51755", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 436.41966921456464, - "All Fuels (Wh/pkm)": 437.48899765368145, - "Unlinked Passenger Trips": 42933, - "Passenger Paid Fares": 147131.0, - "Average Fare": 3.4269908927864345 + "Average Fare": 0.5548954179213803, + "Average Passengers": 1.200807939577093 }, { "NTD ID": 40200, @@ -6470,23 +6803,12 @@ "UACE Code": "86599", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 345.5933912273245, - "All Fuels (Wh/pkm)": 345.5933912273245, - "Unlinked Passenger Trips": 303845, + "Gasoline (Wh/pkm)": 761.0366917920197, + "All Fuels (Wh/pkm)": 761.0366917920197, + "Unlinked Passenger Trips": 697128, "Passenger Paid Fares": 1943425.0, - "Average Fare": 6.396106567493295 - }, - { - "NTD ID": 40208, - "Mode": "MB", - "UACE Code": "02420", - "Diesel (%)": 54.38712880357212, - "Electric (%)": 45.61287119642788, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 323.12005336981167, - "Electric (Wh/pkm)": 49.69371182422989, - "All Fuels (Wh/pkm)": 198.40244838352044, - "Unlinked Passenger Trips": 594105 + "Average Fare": 2.787759206343742, + "Average Passengers": 3.44751431879108 }, { "NTD ID": 40222, @@ -6494,24 +6816,25 @@ "UACE Code": "73261", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2876.048645015205, - "All Fuels (Wh/pkm)": 2876.048645015205, - "Unlinked Passenger Trips": 127935, + "Gasoline (Wh/pkm)": 5386.966359460477, + "All Fuels (Wh/pkm)": 5386.966359460477, + "Unlinked Passenger Trips": 296168, "Passenger Paid Fares": 145708.0, - "Average Fare": 1.1389221088834174 + "Average Fare": 0.4919775262688744, + "Average Passengers": 0.5855611241459078 }, { "NTD ID": 40224, "Mode": "DR", "UACE Code": "03358", - "Gasoline (%)": 58.76854073236761, - "Other (%)": 41.23145926763239, + "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1466.9539132466819, - "All Fuels (Wh/pkm)": 911.220077385772, - "Unlinked Passenger Trips": 83063, + "Gasoline (Wh/pkm)": 3935.309220258453, + "All Fuels (Wh/pkm)": 4166.359052663547, + "Unlinked Passenger Trips": 169766, "Passenger Paid Fares": 58082.0, - "Average Fare": 0.6992523747035383 + "Average Fare": 0.3421297550746321, + "Average Passengers": 0.9889634613242965 }, { "NTD ID": 40228, @@ -6519,11 +6842,12 @@ "UACE Code": "15670", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 467.2655879163496, - "All Fuels (Wh/pkm)": 467.2655879163496, - "Unlinked Passenger Trips": 293369, + "Gasoline (Wh/pkm)": 4710.08604837481, + "All Fuels (Wh/pkm)": 4710.08604837481, + "Unlinked Passenger Trips": 642944, "Passenger Paid Fares": 3217.0, - "Average Fare": 0.010965712123639513 + "Average Fare": 0.005003546187537328, + "Average Passengers": 7.166076317179772 }, { "NTD ID": 40232, @@ -6531,24 +6855,21 @@ "UACE Code": "65863", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1894.6369804955434, - "All Fuels (Wh/pkm)": 1894.6369804955434, - "Unlinked Passenger Trips": 868700, + "Diesel (Wh/pkm)": 3333.7687616675767, + "All Fuels (Wh/pkm)": 3333.7687616675767, + "Unlinked Passenger Trips": 1870578, "Passenger Paid Fares": 1875736.0, - "Average Fare": 2.159244848624381 + "Average Fare": 1.0027574364715077, + "Average Passengers": 31.333448919156965 }, { "NTD ID": 40244, "Mode": "DR", "UACE Code": "83548", - "Gasoline (%)": 73.04027153122583, - "Other (%)": 26.95972846877417, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4005.094880883166, - "All Fuels (Wh/pkm)": 2929.4434211413673, - "Unlinked Passenger Trips": 78198, + "Unlinked Passenger Trips": 163792, "Passenger Paid Fares": 116071.0, - "Average Fare": 1.4843218496636743 + "Average Fare": 0.7086487740548989, + "Average Passengers": 0.8491520463210518 }, { "NTD ID": 40265, @@ -6556,11 +6877,12 @@ "UACE Code": "22690", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1379.9151589792073, - "All Fuels (Wh/pkm)": 1379.9151589792073, - "Unlinked Passenger Trips": 87351, + "Gasoline (Wh/pkm)": 5358.169527714084, + "All Fuels (Wh/pkm)": 5358.169527714084, + "Unlinked Passenger Trips": 125663, "Passenger Paid Fares": 37434.0, - "Average Fare": 0.4285468970017516 + "Average Fare": 0.2978919809331307, + "Average Passengers": 1.2621020099777511 }, { "NTD ID": 40928, @@ -6568,49 +6890,52 @@ "UACE Code": "28766", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1977.4123229111226, - "All Fuels (Wh/pkm)": 1977.4123229111226, - "Unlinked Passenger Trips": 95362, + "Gasoline (Wh/pkm)": 4653.854762661256, + "All Fuels (Wh/pkm)": 4653.854762661256, + "Unlinked Passenger Trips": 196938, "Passenger Paid Fares": 213161.0, - "Average Fare": 2.2352823976007214 + "Average Fare": 1.082376179305162, + "Average Passengers": 1.2316663108189296 }, { "NTD ID": 40950, "Mode": "DR", "UACE Code": "43210", - "Gasoline (%)": 76.90926363727, - "Other (%)": 23.09073636273001, + "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2120.333717268244, - "All Fuels (Wh/pkm)": 2012.4832743104073, - "Unlinked Passenger Trips": 130873, + "Gasoline (Wh/pkm)": 3749.7642189278877, + "All Fuels (Wh/pkm)": 4486.183287609152, + "Unlinked Passenger Trips": 272410, "Passenger Paid Fares": 285304.0, - "Average Fare": 2.1800065712561034 + "Average Fare": 1.0473330641312728, + "Average Passengers": 0.7381229623509072 }, { "NTD ID": 41105, "Mode": "DR", "UACE Code": "66484", - "Gasoline (%)": 99.95865973924273, - "Diesel (%)": 0.041340260757258544, + "Gasoline (%)": 99.9999228340879, + "Diesel (%)": 7.716591211265606e-05, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3103.45745183769, - "All Fuels (Wh/pkm)": 3102.1744744346092, - "Unlinked Passenger Trips": 113791, + "Gasoline (Wh/pkm)": 4952.617437774716, + "All Fuels (Wh/pkm)": 4952.613616042297, + "Unlinked Passenger Trips": 246328, "Passenger Paid Fares": 156159.0, - "Average Fare": 1.3723317309804817 + "Average Fare": 0.6339474197005619, + "Average Passengers": 1.2795822255515372 }, { "NTD ID": 41199, "Mode": "DR", "UACE Code": "71479", - "Gasoline (%)": 70.93416461596225, - "Diesel (%)": 29.065835384037747, + "Gasoline (%)": 79.33444765233247, + "Diesel (%)": 20.665552347667532, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3210.1297958447217, - "Diesel (Wh/pkm)": 4974.285391494734, - "All Fuels (Wh/pkm)": 3722.896357194644, - "Unlinked Passenger Trips": 127258 + "Gasoline (Wh/pkm)": 5140.7764542098585, + "Diesel (Wh/pkm)": 11848.773667073889, + "All Fuels (Wh/pkm)": 6527.021129714353, + "Unlinked Passenger Trips": 249833, + "Average Passengers": 0.9468832925737913 }, { "NTD ID": 41199, @@ -6618,9 +6943,10 @@ "UACE Code": "71479", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1079.07836467298, - "All Fuels (Wh/pkm)": 1079.07836467298, - "Unlinked Passenger Trips": 443629 + "Diesel (Wh/pkm)": 1790.8363494427047, + "All Fuels (Wh/pkm)": 1790.8363494427047, + "Unlinked Passenger Trips": 992589, + "Average Passengers": 3.526310588060894 }, { "NTD ID": 42000, @@ -6628,11 +6954,12 @@ "UACE Code": "03817", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1159.882686024396, - "All Fuels (Wh/pkm)": 1159.882686024396, - "Unlinked Passenger Trips": 371158, + "Diesel (Wh/pkm)": 3047.2463902337727, + "All Fuels (Wh/pkm)": 3047.2463902337727, + "Unlinked Passenger Trips": 855761, "Passenger Paid Fares": 1381476.0, - "Average Fare": 3.722069846264933 + "Average Fare": 1.6143245602452085, + "Average Passengers": 3.6018470611969753 }, { "NTD ID": 42000, @@ -6640,36 +6967,38 @@ "UACE Code": "03817", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 356.6078747636593, - "All Fuels (Wh/pkm)": 356.6078747636593, - "Unlinked Passenger Trips": 289562, + "Gasoline (Wh/pkm)": 547.2367239572364, + "All Fuels (Wh/pkm)": 547.2367239572364, + "Unlinked Passenger Trips": 650233, "Passenger Paid Fares": 1688862.0, - "Average Fare": 5.832471111540879 + "Average Fare": 2.5973181920942183, + "Average Passengers": 4.46228169278185 }, { "NTD ID": 44929, "Mode": "MB", "UACE Code": "56602", - "LPG (%)": 28.263613260615056, - "Other (%)": 28.263613260615056, + "Gasoline (%)": 71.07815479201524, + "LPG (%)": 28.92184520798474, "All Fuels (%)": 100, - "LPG (Wh/pkm)": 390.3331309062104, - "All Fuels (Wh/pkm)": 1757.2103884751618, - "Unlinked Passenger Trips": 103306 + "Gasoline (Wh/pkm)": 1884.6967762923541, + "LPG (Wh/pkm)": 1795.440011502367, + "All Fuels (Wh/pkm)": 1858.8820729421388, + "Unlinked Passenger Trips": 235143, + "Average Passengers": 2.7333507545174935 }, { "NTD ID": 50001, "Mode": "MB", "UACE Code": "02764", - "Gasoline (%)": 3.1275897561206136, - "Diesel (%)": 96.87241024387939, + "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 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"Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1540.6308753088938, - "All Fuels (Wh/pkm)": 1540.6308753088938, - "Unlinked Passenger Trips": 681502, + "Diesel (Wh/pkm)": 2996.0878163132006, + "All Fuels (Wh/pkm)": 2996.0878163132006, + "Unlinked Passenger Trips": 1439885, "Passenger Paid Fares": 462210.0, - "Average Fare": 0.6782225143873386 + "Average Fare": 0.3210048024668637, + "Average Passengers": 3.1770138677517745 }, { "NTD ID": 50003, @@ -6701,11 +7032,12 @@ "UACE Code": "44506", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1156.0100654938835, - "All Fuels (Wh/pkm)": 1156.0100654938835, - "Unlinked Passenger Trips": 1167963, + "Diesel (Wh/pkm)": 2138.831529059337, + "All Fuels (Wh/pkm)": 2138.831529059337, + "Unlinked Passenger Trips": 2373887, "Passenger Paid Fares": 1541897.0, - "Average Fare": 1.3201591146294873 + "Average Fare": 0.649524177014323, + "Average Passengers": 4.082251766369506 }, { "NTD ID": 50003, @@ -6713,39 +7045,44 @@ "UACE Code": "44506", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 1683.05054298868, - "All Fuels (Wh/pkm)": 1683.05054298868, - "Unlinked Passenger Trips": 20173, + "Electric (Wh/pkm)": 3361.4914571676795, + "All Fuels (Wh/pkm)": 3361.4914571676795, + "Unlinked Passenger Trips": 39699, "Passenger Paid Fares": 14665.0, - "Average Fare": 0.7269617805978288 + "Average Fare": 0.36940477090103024, + "Average Passengers": 1.9899159663865547 }, { "NTD ID": 50004, "Mode": "MB", "UACE Code": "45910", - "Diesel (%)": 96.9996337469838, - "Electric (%)": 3.0003662530162014, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2147.719864218949, - "Electric (Wh/pkm)": 772.5658758691297, - "All Fuels (Wh/pkm)": 2106.460208025495, - "Unlinked Passenger Trips": 587835, + "Gasoline (%)": 0.7197678881457311, + "Diesel (%)": 93.61139550979661, + "Electric (%)": 5.668836602057664, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1328.089473769059, + "Diesel (Wh/pkm)": 4174.593637642892, + "Electric (Wh/pkm)": 1168.6407539140814, + "All Fuels (Wh/pkm)": 3983.7028574231704, + "Unlinked Passenger Trips": 1254869, "Passenger Paid Fares": 440101.0, - "Average Fare": 0.7486811775413169 + "Average Fare": 0.35071469611569017, + "Average Passengers": 1.9602846675423797 }, { "NTD ID": 50005, "Mode": "MB", "UACE Code": "53200", - "Diesel (%)": 99.57819048670558, - "Electric (%)": 0.4218095132944273, + "Diesel (%)": 99.58461690253164, + "Electric (%)": 0.4153830974683596, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 668.6452665062193, - "Electric (Wh/pkm)": 152.7281936787692, - "All Fuels (Wh/pkm)": 666.4690792123231, - "Unlinked Passenger Trips": 8287021, + "Diesel (Wh/pkm)": 1389.6825140413102, + "Electric (Wh/pkm)": 379.5460633856339, + "All Fuels (Wh/pkm)": 1385.4865779639197, + "Unlinked Passenger Trips": 17690906, "Passenger Paid Fares": 3589053.0, - "Average Fare": 0.43309326717043434 + "Average Fare": 0.20287559043047315, + "Average Passengers": 6.247112464343417 }, { "NTD ID": 50006, @@ -6753,93 +7090,106 @@ "UACE Code": "73153", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2956.485347361906, - "All Fuels (Wh/pkm)": 2956.485347361906, - "Unlinked Passenger Trips": 26634, + "Gasoline (Wh/pkm)": 5767.056730824361, + "All Fuels (Wh/pkm)": 5767.056730824361, + "Unlinked Passenger Trips": 52614, "Passenger Paid Fares": 84957.0, - "Average Fare": 3.1897949988736203 + "Average Fare": 1.6147223172539629, + "Average Passengers": 1.1269822808366035 }, { "NTD ID": 50006, "Mode": "MB", "UACE Code": "73153", - "Electric (%)": 5.475991513769841, - "Electric (Wh/pkm)": 330.06633771971286, - "Unlinked Passenger Trips": 562384, + "Diesel (%)": 89.99644807111402, + "Electric (%)": 10.003551928885983, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 4905.309221733319, + "Electric (Wh/pkm)": 466.15651941039727, + "All Fuels (Wh/pkm)": 4461.2362759539, + "Unlinked Passenger Trips": 1542074, "Passenger Paid Fares": 813977.0, - "Average Fare": 1.447368701812285 + "Average Fare": 0.527845615709752, + "Average Passengers": 2.392666048694893 }, { "NTD ID": 50008, "Mode": "MB", "UACE Code": "57466", - "Diesel (%)": 100.0, + "Diesel (%)": 99.34378620383995, + "Electric (%)": 0.656213796160038, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1213.2726137457173, - "All Fuels (Wh/pkm)": 1213.2726137457173, - "Unlinked Passenger Trips": 18517967, + "Diesel (Wh/pkm)": 2157.3337294295443, + "Electric (Wh/pkm)": 629.1269864758444, + "All Fuels (Wh/pkm)": 2147.3054259484343, + "Unlinked Passenger Trips": 40902230, "Passenger Paid Fares": 13437860.0, - "Average Fare": 0.7256660517863543 + "Average Fare": 0.328536121380179, + "Average Passengers": 3.973313980068515 }, { "NTD ID": 50010, "Mode": "DR", "UACE Code": "00766", - "Gasoline (%)": 47.29665745919714, - "Diesel (%)": 52.69809985353242, + "Diesel (%)": 52.83410178681886, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2501.1495481555303, - "Diesel (Wh/pkm)": 4084.619504343046, - "All Fuels (Wh/pkm)": 3336.145659937954, - "Unlinked Passenger Trips": 187405, + "Diesel (Wh/pkm)": 9490.928314574883, + "All Fuels (Wh/pkm)": 11324.89008365116, + "Unlinked Passenger Trips": 381433, "Passenger Paid Fares": 401310.0, - "Average Fare": 2.1414049785224516 + "Average Fare": 1.0521113799802324, + "Average Passengers": 0.6196750113506755 }, { "NTD ID": 50010, "Mode": "MB", "UACE Code": "00766", - "Diesel (%)": 12.560397694409744, - "CNG (%)": 87.08685169312636, - "Electric (%)": 0.352750612463889, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2238.5052158318613, - "CNG (Wh/pkm)": 353.28678988211004, - "Electric (Wh/pkm)": 726.8041530336901, - "All Fuels (Wh/pkm)": 591.3953063758664, - "Unlinked Passenger Trips": 3470765, + "Diesel (%)": 6.412737378071774, + "CNG (%)": 92.91490426857926, + "Electric (%)": 0.6723583533489743, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 5394.382431410554, + "CNG (Wh/pkm)": 663.2831378855933, + "Electric (Wh/pkm)": 950.3895648876023, + "All Fuels (Wh/pkm)": 968.6064947201079, + "Unlinked Passenger Trips": 7601411, "Passenger Paid Fares": 1610446.0, - "Average Fare": 0.4640031808549412 + "Average Fare": 0.211861455721839, + "Average Passengers": 3.8013630766390603 }, { "NTD ID": 50011, "Mode": "DR", "UACE Code": "13375", - "Diesel (%)": 57.13842075569817, - "CNG (%)": 42.86157924430183, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1479.580763214473, - "CNG (Wh/pkm)": 899.1935715379731, - "All Fuels (Wh/pkm)": 1230.8176471302722, - "Unlinked Passenger Trips": 116032, + "Gasoline (%)": 13.006616606565474, + "Diesel (%)": 40.73507828884531, + "CNG (%)": 46.25830510458921, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3580.6305767477247, + "Diesel (Wh/pkm)": 3547.7500233443275, + "CNG (Wh/pkm)": 1377.851100498467, + "All Fuels (Wh/pkm)": 2548.2682066723914, + "Unlinked Passenger Trips": 265453, "Passenger Paid Fares": 353202.0, - "Average Fare": 3.0440051020408165 + "Average Fare": 1.3305632258817945, + "Average Passengers": 0.6569729928335123 }, { "NTD ID": 50011, "Mode": "MB", "UACE Code": "13375", - "Diesel (%)": 32.63492512765137, - "CNG (%)": 56.827229595255844, - "Hydrogen (%)": 10.537845277092803, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1583.3063512313006, - "CNG (Wh/pkm)": 414.5195680011853, - "Hydrogen (Wh/pkm)": 1392.9168219403211, - "All Fuels (Wh/pkm)": 899.0542484256493, - "Unlinked Passenger Trips": 1107654, + "Diesel (%)": 14.56839445288762, + "CNG (%)": 75.26933489704895, + "Hydrogen (%)": 10.162270650063439, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 5169.513415484298, + "CNG (Wh/pkm)": 532.4478502437505, + "Hydrogen (Wh/pkm)": 2484.4968431285074, + "All Fuels (Wh/pkm)": 1406.3663547058031, + "Unlinked Passenger Trips": 2345791, "Passenger Paid Fares": 840621.0, - "Average Fare": 0.7589202043237329 + "Average Fare": 0.35835289674144033, + "Average Passengers": 3.5810465621721232 }, { "NTD ID": 50012, @@ -6847,11 +7197,12 @@ "UACE Code": "16885", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2007.9124949425347, - "All Fuels (Wh/pkm)": 2007.9124949425347, - "Unlinked Passenger Trips": 168045, + "Diesel (Wh/pkm)": 4272.266185205213, + "All Fuels (Wh/pkm)": 4272.266185205213, + "Unlinked Passenger Trips": 349757, "Passenger Paid Fares": 622372.0, - "Average Fare": 3.7036032015234013 + "Average Fare": 1.7794411548589448, + "Average Passengers": 1.104552572115296 }, { "NTD ID": 50012, @@ -6859,102 +7210,105 @@ "UACE Code": "16885", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1188.4775100937254, - "All Fuels (Wh/pkm)": 1188.4775100937254, - "Unlinked Passenger Trips": 9679228, + "Diesel (Wh/pkm)": 1982.6203278117166, + "All Fuels (Wh/pkm)": 1982.6203278117166, + "Unlinked Passenger Trips": 22581351, "Passenger Paid Fares": 14807453.0, - "Average Fare": 1.5298175639627458 + "Average Fare": 0.6557381354197984, + "Average Passengers": 4.878216702075556 }, { "NTD ID": 50015, "Mode": "DR", "UACE Code": "17668", - "Gasoline (%)": 84.231111003101, - "LPG (%)": 7.884444498449493, - "Other (%)": 7.884444498449493, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3111.119057095922, - "LPG (Wh/pkm)": 3508.455126276743, - "All Fuels (Wh/pkm)": 2897.152343605392, - "Unlinked Passenger Trips": 496221, + "Gasoline (%)": 95.23790571514408, + "LPG (%)": 4.76209428485593, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 4872.875985533387, + "LPG (Wh/pkm)": 8659.048159691532, + "All Fuels (Wh/pkm)": 5053.177074253778, + "Unlinked Passenger Trips": 1099615, "Passenger Paid Fares": 1798459.0, - "Average Fare": 3.6243105390541714 + "Average Fare": 1.6355351645803304, + "Average Passengers": 0.9855804814363637 }, { "NTD ID": 50015, "Mode": "HR", "UACE Code": "17668", - "Unlinked Passenger Trips": 2808149, + "Unlinked Passenger Trips": 6280491, "Passenger Paid Fares": 3448306.0, - "Average Fare": 1.2279640432185044 + "Average Fare": 0.5490503847549499, + "Average Passengers": 20.027224759243623 }, { "NTD ID": 50015, "Mode": "LR", 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"Diesel (%)": 13.006423813846371, - "CNG (%)": 86.99357618615362, + "CNG (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 829.3377501117396, - "CNG (Wh/pkm)": 236.59109514483876, - "All Fuels (Wh/pkm)": 313.6862372322315, - "Unlinked Passenger Trips": 1538423, + "CNG (Wh/pkm)": 404.7551227392133, + "All Fuels (Wh/pkm)": 505.2004277449681, + "Unlinked Passenger Trips": 3252490, "Passenger Paid Fares": 1152352.0, - "Average Fare": 0.7490475636414692 + "Average Fare": 0.35429839907271043, + "Average Passengers": 10.505358957114034 }, { "NTD ID": 50016, "Mode": "DR", "UACE Code": "19234", - "Gasoline (%)": 49.90877651061771, - "Diesel (%)": 38.314782503543924, - "CNG (%)": 11.776440985838367, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1675.3171824309404, - "Diesel (Wh/pkm)": 2507.749712487722, - "CNG (Wh/pkm)": 878.307313229198, - "All Fuels (Wh/pkm)": 1900.4024989130933, - "Unlinked Passenger Trips": 327789, + "Gasoline (%)": 46.09062585051026, + "Diesel (%)": 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"UACE Code": "87868", - "Diesel (%)": 100.0, + "Gasoline (%)": 72.5179094757408, + "Diesel (%)": 27.482090524259196, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1596.5093186027646, - "All Fuels (Wh/pkm)": 1596.5093186027646, - "Unlinked Passenger Trips": 233924, + "Gasoline (Wh/pkm)": 1911.242014746326, + "Diesel (Wh/pkm)": 9782.843230943678, + "All Fuels (Wh/pkm)": 4074.52258669037, + "Unlinked Passenger Trips": 460798, "Passenger Paid Fares": 49397.0, - "Average Fare": 0.21116687471144474 + "Average Fare": 0.1071988159670832, + "Average Passengers": 1.4040063710189472 }, { "NTD ID": 50022, @@ -7036,35 +7398,38 @@ "UACE Code": "87868", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 859.2509549426189, - "All Fuels (Wh/pkm)": 859.2509549426189, - "Unlinked Passenger Trips": 1737769, + "Diesel (Wh/pkm)": 2287.2529333234297, + "All Fuels (Wh/pkm)": 2287.2529333234297, + "Unlinked Passenger Trips": 3374443, "Passenger Paid Fares": 624981.0, - "Average Fare": 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"All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1181.8076507315654, - "Electric (Wh/pkm)": 623.0898287537525, - "All Fuels (Wh/pkm)": 1159.1916863997972, - "Unlinked Passenger Trips": 1874795, + "Diesel (Wh/pkm)": 2085.0889044945125, + "Electric (Wh/pkm)": 1119.8546568045567, + "All Fuels (Wh/pkm)": 2051.3483542963445, + "Unlinked Passenger Trips": 4008866, "Passenger Paid Fares": 1394897.0, - "Average Fare": 0.7440264135545487 + "Average Fare": 0.3479530121485727, + "Average Passengers": 4.268966281999579 }, { "NTD ID": 50026, @@ -7098,11 +7465,12 @@ "UACE Code": "29089", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2733.7847294197777, - "All Fuels (Wh/pkm)": 2733.7847294197777, - "Unlinked Passenger Trips": 7932, + "Gasoline (Wh/pkm)": 4661.282060661121, + "All Fuels (Wh/pkm)": 4661.282060661121, + "Unlinked Passenger Trips": 16283, "Passenger Paid Fares": 49858.0, - "Average Fare": 6.285678265254664 + "Average Fare": 3.0619664680955596, + "Average Passengers": 0.502064964751532 }, { "NTD ID": 50026, @@ -7110,11 +7478,12 @@ "UACE Code": "29089", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1607.8746140878827, - "All Fuels (Wh/pkm)": 1607.8746140878827, - "Unlinked Passenger Trips": 343863, + "Diesel (Wh/pkm)": 3151.3926418014125, + "All Fuels (Wh/pkm)": 3151.3926418014125, + "Unlinked Passenger Trips": 718791, "Passenger Paid Fares": 203513.0, - "Average Fare": 0.5918432631600375 + "Average Fare": 0.283132370883887, + "Average Passengers": 2.941019923915856 }, { "NTD ID": 50027, @@ -7122,11 +7491,12 @@ "UACE Code": "57628", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1828.0785126021246, - "All Fuels (Wh/pkm)": 1828.0785126021246, - "Unlinked Passenger Trips": 77076, + "Diesel (Wh/pkm)": 2971.5650771002324, + "All Fuels (Wh/pkm)": 2971.5650771002324, + "Unlinked Passenger Trips": 174341, "Passenger Paid Fares": 258109.0, - "Average Fare": 3.3487596657844207 + "Average Fare": 1.4804836498586105, + "Average 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1911.4010284598837, - "Unlinked Passenger Trips": 184853, + "Unlinked Passenger Trips": 423166, "Passenger Paid Fares": 87493.0, - "Average Fare": 0.4733112256766187 + "Average Fare": 0.20675810438456776, + "Average Passengers": 2.024029824959461 }, { "NTD ID": 50031, "Mode": "DR", "UACE Code": "23824", - "Gasoline (%)": 0.2301913454653209, - "Diesel (%)": 4.700925746436405, - "LPG (%)": 47.53444145404914, - "Other (%)": 47.53444145404914, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1446.4839075446773, - "Diesel (Wh/pkm)": 4140.4064845900175, - "LPG (Wh/pkm)": 4746.607790284022, - "All Fuels (Wh/pkm)": 2454.240616335825, - "Unlinked Passenger Trips": 318882, + "Gasoline (%)": 0.6171240507735348, + "Diesel (%)": 8.507253591010908, + "LPG (%)": 90.87562235821555, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3153.256023045531, + "Diesel (Wh/pkm)": 8445.408001418156, + "LPG (Wh/pkm)": 8133.156613289953, + "All Fuels (Wh/pkm)": 8128.98846647246, + "Unlinked Passenger Trips": 656785, 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"Unlinked Passenger Trips": 148083, + "Gasoline (Wh/pkm)": 673.4675667404143, + "All Fuels (Wh/pkm)": 673.4675667404143, + "Unlinked Passenger Trips": 308227, "Passenger Paid Fares": 939017.0, - "Average Fare": 6.341153272151429 + "Average Fare": 3.046511175205287, + "Average Passengers": 3.212954332480234 }, { "NTD ID": 50043, "Mode": "DR", "UACE Code": "28333", - "Gasoline (%)": 53.58882509499339, - "Diesel (%)": 46.41117490500661, + "Gasoline (%)": 63.68453448229722, + "Diesel (%)": 36.31546551770279, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3877.846529964888, - "Diesel (Wh/pkm)": 3104.6508583743985, - "All Fuels (Wh/pkm)": 3518.9973344650853, - "Unlinked Passenger Trips": 37116, + "Gasoline (Wh/pkm)": 7182.275770395917, + "Diesel (Wh/pkm)": 8360.877177971912, + "All Fuels (Wh/pkm)": 7610.290358155337, + "Unlinked Passenger Trips": 66301, "Passenger Paid Fares": 407812.0, - "Average Fare": 10.987498652872077 + "Average Fare": 6.15091778404549, + "Average Passengers": 0.9222262996941897 }, { "NTD ID": 50043, @@ -7505,39 +7875,42 @@ "UACE Code": "28333", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1595.0374708135375, - "All Fuels (Wh/pkm)": 1595.0374708135375, - "Unlinked Passenger Trips": 786470, + "Diesel (Wh/pkm)": 2913.650005182289, + "All Fuels (Wh/pkm)": 2913.650005182289, + "Unlinked Passenger Trips": 1663468, "Passenger Paid Fares": 592182.0, - "Average Fare": 0.7529619693058858 + "Average Fare": 0.3559924206537186, + "Average Passengers": 2.9621003680332163 }, { "NTD ID": 50044, "Mode": "DR", "UACE Code": "31087", - "Gasoline (%)": 16.979254531390296, - "Diesel (%)": 83.02074546860969, + "Gasoline (%)": 50.81317712042396, + "Diesel (%)": 49.18682287957604, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4231.108939092041, - "Diesel (Wh/pkm)": 1953.9384958380751, - "All Fuels (Wh/pkm)": 2340.5850615117547, - "Unlinked Passenger Trips": 58916, + "Gasoline (Wh/pkm)": 4909.560687728372, + "Diesel (Wh/pkm)": 5475.579088421415, + "All Fuels (Wh/pkm)": 5187.967155943068, + "Unlinked Passenger Trips": 120880, "Passenger Paid Fares": 153943.0, - "Average Fare": 2.6129234842827076 + "Average Fare": 1.2735191925876903, + "Average Passengers": 0.9787801061864537 }, { "NTD ID": 50044, "Mode": "MB", "UACE Code": "31087", - "Gasoline (%)": 2.7976583732776183, - "Diesel (%)": 97.20234162672239, + "Gasoline (%)": 5.052309281231051, + "Diesel (%)": 94.94769071876894, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1035.0110709564524, - "Diesel (Wh/pkm)": 1393.9791296339984, - "All Fuels (Wh/pkm)": 1383.9364296830136, - "Unlinked Passenger Trips": 1269566, + "Gasoline (Wh/pkm)": 1401.2632247405636, + "Diesel (Wh/pkm)": 2236.263812632582, + "All Fuels (Wh/pkm)": 2194.07700043218, + "Unlinked Passenger Trips": 2769534, "Passenger Paid Fares": 873700.0, - "Average Fare": 0.6881879319389461 + "Average Fare": 0.3154682340061541, + "Average Passengers": 3.720049148537257 }, { "NTD ID": 50045, @@ -7545,48 +7918,53 @@ "UACE Code": "16264", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2206.133553738099, - "All Fuels (Wh/pkm)": 2206.133553738099, - "Unlinked Passenger Trips": 13101, + "Gasoline (Wh/pkm)": 2150.6666519109053, + "All Fuels (Wh/pkm)": 2150.6666519109053, + "Unlinked Passenger Trips": 26461, "Passenger Paid Fares": 32102.0, - "Average Fare": 2.450347301732692 + "Average Fare": 1.2131816635803636, + "Average Passengers": 0.731391402447947 }, { "NTD ID": 50045, "Mode": "MB", "UACE Code": "16264", - "Unlinked Passenger Trips": 371256, + "Electric (%)": 7.818617658809428, + "Electric (Wh/pkm)": 1600.066516529329, + "Unlinked Passenger Trips": 818385, "Passenger Paid Fares": 200016.0, - "Average Fare": 0.5387549292132653 + "Average Fare": 0.24440330651221615, + "Average Passengers": 0.8426947551600493 }, { "NTD ID": 50047, "Mode": "DR", "UACE Code": "08407", - "Gasoline (%)": 78.94709034490747, - "LPG (%)": 10.526454827546265, - "Other (%)": 10.526454827546265, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3818.4739975532502, - "LPG (Wh/pkm)": 4077.521538884974, - "All Fuels (Wh/pkm)": 3443.7925795193605, - "Unlinked Passenger Trips": 77395, + "Gasoline (%)": 84.49579937214305, + "LPG (%)": 15.504200627856946, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 6171.753998774426, + "LPG (Wh/pkm)": 6033.794473255418, + "All Fuels (Wh/pkm)": 6150.36447715272, + "Unlinked Passenger Trips": 178790, "Passenger Paid Fares": 40783.0, - "Average Fare": 0.5269461851540798 + "Average Fare": 0.22810559874713351, + "Average Passengers": 1.00030720361763 }, { "NTD ID": 50047, "Mode": "MB", "UACE Code": "08407", - "Diesel (%)": 98.06891578627196, - "Electric (%)": 1.9310842137280424, + "Diesel (%)": 90.51314425791321, + "Electric (%)": 9.486855742086785, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1554.987537308099, - "Electric (Wh/pkm)": 399.1991956046927, - "All Fuels (Wh/pkm)": 1532.6682910973552, - "Unlinked Passenger Trips": 1718364, + "Diesel (Wh/pkm)": 3215.6399236220223, 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4.238846482197559 }, { "NTD ID": 50051, "Mode": "DR", "UACE Code": "46018", - "Gasoline (%)": 3.1858456085945277, - "CNG (%)": 96.81415439140547, + "Gasoline (%)": 8.32433523386649, + "CNG (%)": 91.67566476613351, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1694.0999747912606, - "CNG (Wh/pkm)": 937.9764235796739, - "All Fuels (Wh/pkm)": 962.0653525314972, - "Unlinked Passenger Trips": 34184, + "Gasoline (Wh/pkm)": 2411.9175980354826, + "CNG (Wh/pkm)": 1627.2241994919293, + "All Fuels (Wh/pkm)": 1692.544708544715, + "Unlinked Passenger Trips": 71729, "Passenger Paid Fares": 29764.0, - "Average Fare": 0.8706997425696232 + "Average Fare": 0.41495071728310723, + "Average Passengers": 0.9829118908256949 }, { "NTD ID": 50051, "Mode": "MB", "UACE Code": "46018", - "Diesel (%)": 14.394356883059627, - "CNG (%)": 85.60564311694037, + "Diesel (%)": 15.680784778488999, + "CNG (%)": 84.319215221511, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 994.2653710251853, - "CNG (Wh/pkm)": 243.5695064508166, 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1.8506113681427627 + "Average Fare": 0.921051982335381, + "Average Passengers": 1.4900732983015057 }, { "NTD ID": 50052, @@ -7674,11 +8058,12 @@ "UACE Code": "83116", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 527.3626063702186, - "All Fuels (Wh/pkm)": 909.4882009264793, - "Unlinked Passenger Trips": 1096886, + "CNG (Wh/pkm)": 897.0324907257357, + "All Fuels (Wh/pkm)": 1268.364050843246, + "Unlinked Passenger Trips": 2288627, "Passenger Paid Fares": 1045518.0, - "Average Fare": 0.9531692445705388 + "Average Fare": 0.456831978299653, + "Average Passengers": 2.8973652264948977 }, { "NTD ID": 50053, @@ -7686,32 +8071,34 @@ "UACE Code": "87139", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3575.4371016171003, - "All Fuels (Wh/pkm)": 3575.4371016171003, - "Unlinked Passenger Trips": 11130, + "Gasoline (Wh/pkm)": 7672.9068276461985, + "All Fuels (Wh/pkm)": 7672.9068276461985, + "Unlinked Passenger Trips": 24260, "Passenger Paid Fares": 25043.0, - "Average Fare": 2.2500449236298294 + "Average Fare": 1.032275350370981, + "Average Passengers": 0.8738494698823255 }, { "NTD ID": 50053, "Mode": "MB", "UACE Code": "87139", - "Unlinked Passenger Trips": 120503, + "Unlinked Passenger Trips": 253131, "Passenger Paid Fares": 73029.0, - "Average Fare": 0.6060347045301777 + "Average Fare": 0.288502791044953, + "Average Passengers": 0.36537862678280675 }, { "NTD ID": 50054, "Mode": "DR", "UACE Code": "60625", - "LPG (%)": 50.0, - "Other (%)": 50.0, + "LPG (%)": 100.0, "All Fuels (%)": 100, - "LPG (Wh/pkm)": 3979.0240603412776, - "All Fuels (Wh/pkm)": 1989.5120301706388, - "Unlinked Passenger Trips": 36633, + "LPG (Wh/pkm)": 7139.341834712583, + "All Fuels (Wh/pkm)": 7139.341834712583, + "Unlinked Passenger Trips": 73526, "Passenger Paid Fares": 34038.0, - "Average Fare": 0.9291622307755303 + "Average Fare": 0.4629382803362076, + "Average Passengers": 1.0120740734605074 }, { "NTD ID": 50054, @@ -7719,11 +8106,12 @@ "UACE Code": "60625", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1050.9614238191375, - "All Fuels (Wh/pkm)": 1050.9614238191375, - "Unlinked Passenger Trips": 802093, + "Diesel (Wh/pkm)": 1941.02900968693, + "All Fuels (Wh/pkm)": 1941.02900968693, + "Unlinked Passenger Trips": 1684315, "Passenger Paid Fares": 116096.0, - "Average Fare": 0.14474132052018907 + "Average Fare": 0.06892772432710033, + "Average Passengers": 4.318014557615365 }, { "NTD ID": 50056, @@ -7731,25 +8119,27 @@ "UACE Code": "68509", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1884.949776834003, - "All Fuels (Wh/pkm)": 1884.949776834003, - "Unlinked Passenger Trips": 117494, + "Gasoline (Wh/pkm)": 4028.5099205220067, + "All Fuels (Wh/pkm)": 4028.5099205220067, + "Unlinked Passenger Trips": 253227, "Passenger Paid Fares": 190222.0, - "Average Fare": 1.618993310296696 + "Average Fare": 0.7511916185872755, + "Average Passengers": 1.2453068453963263 }, { "NTD ID": 50056, "Mode": "MB", "UACE Code": 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"Average Fare": 1.1271701646607442, + "Average Passengers": 0.936709981244144 }, { "NTD ID": 50058, "Mode": "MB", "UACE Code": "75718", - "Diesel (%)": 100.0, + "Diesel (%)": 99.33600640428061, + "Electric (%)": 0.6639935957193899, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2010.4710665534185, - "All Fuels (Wh/pkm)": 2010.4710665534185, - "Unlinked Passenger Trips": 799705, + "Diesel (Wh/pkm)": 3970.99019109829, + "Electric (Wh/pkm)": 89.97897129025937, + "All Fuels (Wh/pkm)": 3945.2205251496134, + "Unlinked Passenger Trips": 1687256, "Passenger Paid Fares": 576771.0, - "Average Fare": 0.7212297034531483 + "Average Fare": 0.3418396497034238, + "Average Passengers": 2.9347574871665016 }, { "NTD ID": 50059, @@ -7821,27 +8218,27 @@ "UACE Code": "83899", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3677.12859208736, - "All Fuels (Wh/pkm)": 3677.12859208736, - "Unlinked Passenger Trips": 75139, + "Gasoline (Wh/pkm)": 6651.063385275313, + "All Fuels (Wh/pkm)": 6651.063385275313, + "Unlinked Passenger Trips": 162922, "Passenger Paid Fares": 147448.0, - "Average Fare": 1.9623364697427434 + "Average Fare": 0.9050220350842735, + "Average Passengers": 0.9606718497439489 }, { "NTD ID": 50059, "Mode": "MB", "UACE Code": "83899", - "Gasoline (%)": 5.39346693043143, - "Diesel (%)": 54.45913057565556, - "CNG (%)": 40.14740249391302, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1534.8023007875256, - "Diesel (Wh/pkm)": 2475.7638576973586, - "CNG (Wh/pkm)": 861.2293877493023, - "All Fuels (Wh/pkm)": 1776.8197552443432, - "Unlinked Passenger Trips": 954930, + "Diesel (%)": 61.1066016060631, + "CNG (%)": 38.67139245813029, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 4133.331887900756, + "CNG (Wh/pkm)": 1575.414568936401, + "All Fuels (Wh/pkm)": 3213.5565540585453, + "Unlinked Passenger Trips": 2187113, "Passenger Paid Fares": 485762.0, - "Average Fare": 0.508688594975548 + "Average Fare": 0.22210192157423964, + "Average Passengers": 2.156337575154116 }, { "NTD ID": 50060, @@ -7849,25 +8246,27 @@ "UACE Code": "15211", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4263.250765584884, - "All Fuels (Wh/pkm)": 4537.208910972228, - "Unlinked Passenger Trips": 98805, + "Gasoline (Wh/pkm)": 7193.407997078546, + "All Fuels (Wh/pkm)": 7648.113891392586, + "Unlinked Passenger Trips": 238905, "Passenger Paid Fares": 35635.0, - "Average Fare": 0.36065988563331813 + "Average Fare": 0.14915970783365773, + "Average Passengers": 1.4187118436441026 }, { "NTD ID": 50060, "Mode": "MB", "UACE Code": "15211", - "Diesel (%)": 99.81342059455824, - "Hydrogen (%)": 0.18657940544177604, + "Diesel (%)": 99.29673903931594, + "Hydrogen (%)": 0.7032609606840472, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1022.7169173210825, - "Hydrogen (Wh/pkm)": 1193.659876874527, - "All Fuels (Wh/pkm)": 1023.0358616786618, - "Unlinked Passenger Trips": 7237864, + "Diesel (Wh/pkm)": 2001.9210218354165, + "Hydrogen (Wh/pkm)": 1286.1113020231096, + "All Fuels 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2.467857677655473 }, { "NTD ID": 50066, @@ -7895,25 +8296,27 @@ "UACE Code": "16264", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 58.54252079366251, - "All Fuels (Wh/pkm)": 58.54252079366251, - "Unlinked Passenger Trips": 103524858, + "Electric (Wh/pkm)": 104.4024917388814, + "All Fuels (Wh/pkm)": 104.4024917388814, + "Unlinked Passenger Trips": 220971998, "Passenger Paid Fares": 126646757.0, - "Average Fare": 1.2233463483717117 + "Average Fare": 0.5731348684279897, + "Average Passengers": 71.02236019329477 }, { "NTD ID": 50066, "Mode": "MB", "UACE Code": "16264", - "Diesel (%)": 99.75821644435436, - "Electric (%)": 0.24178355564564374, + "Diesel (%)": 99.55712277999906, + "Electric (%)": 0.44287722000093027, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1029.6807416009947, - "Electric (Wh/pkm)": 251.77739332732477, - "All Fuels (Wh/pkm)": 1027.7998992260523, - "Unlinked Passenger Trips": 140013945, + "Diesel (Wh/pkm)": 2101.9683705935563, + "Electric (Wh/pkm)": 359.86920083556066, + "All Fuels (Wh/pkm)": 2094.253010220873, + "Unlinked Passenger Trips": 301713306, "Passenger Paid Fares": 139773916.0, - "Average Fare": 0.9982856779015833 + "Average Fare": 0.46326732437846146, + "Average Passengers": 7.853413675765248 }, { "NTD ID": 50092, @@ -7921,25 +8324,29 @@ "UACE Code": "75637", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3079.2239043585964, - "All Fuels (Wh/pkm)": 3079.2239043585964, - "Unlinked Passenger Trips": 30246, + "Gasoline (Wh/pkm)": 6735.622817014104, + "All Fuels (Wh/pkm)": 6735.622817014104, + "Unlinked Passenger Trips": 70369, "Passenger Paid Fares": 84000.0, - "Average Fare": 2.7772267407260465 + "Average Fare": 1.1937074564083616, + "Average Passengers": 0.7724840845861993 }, { "NTD ID": 50092, "Mode": "MB", "UACE Code": "75637", - "Gasoline (%)": 44.9838557457398, - "Electric (%)": 1.1406779828979914, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 12.560441624222277, - "Electric (Wh/pkm)": 55.722364605332345, - "All Fuels (Wh/pkm)": 1969.3581099487799, - "Unlinked Passenger Trips": 905901, + "Gasoline (%)": 0.7302851462428377, + "Diesel (%)": 96.24835385355046, + "Electric (%)": 3.0213610002067117, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2651.990418638111, + "Diesel (Wh/pkm)": 4971.961601439309, + "Electric (Wh/pkm)": 1057.6597954613546, + "All Fuels (Wh/pkm)": 4836.754008297993, + "Unlinked Passenger Trips": 1611184, "Passenger Paid Fares": 377246.0, - "Average Fare": 0.4164318176047935 + "Average Fare": 0.2341420967437611, + "Average Passengers": 1.7265728252856252 }, { "NTD ID": 50096, @@ -7947,11 +8354,12 @@ "UACE Code": "57466", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4676.25018536219, - "All Fuels (Wh/pkm)": 4677.3767545108185, - "Unlinked Passenger Trips": 9788, + "Gasoline (Wh/pkm)": 8254.579701063385, + "All Fuels (Wh/pkm)": 8255.594334829, + "Unlinked Passenger Trips": 19462, "Passenger Paid Fares": 36466.0, - "Average Fare": 3.725582345729465 + "Average Fare": 1.8737025999383414, + "Average Passengers": 0.8279669945170295 }, { "NTD ID": 50096, @@ -7959,11 +8367,12 @@ "UACE Code": "57466", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3113.9772638422255, - "All Fuels (Wh/pkm)": 3113.9772638422255, - "Unlinked Passenger Trips": 436361, + "Diesel (Wh/pkm)": 4825.4560367021095, + "All Fuels (Wh/pkm)": 4825.4560367021095, + "Unlinked Passenger Trips": 874914, "Passenger Paid Fares": 477581.0, - "Average Fare": 1.0944630707143856 + "Average Fare": 0.5458605074327305, + "Average Passengers": 1.86197642234496 }, { "NTD ID": 50099, @@ -7971,11 +8380,12 @@ "UACE Code": "26038", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2037.1109190896066, - "All Fuels (Wh/pkm)": 2037.1109190896066, - "Unlinked Passenger Trips": 556157, + "Diesel (Wh/pkm)": 3750.975009052906, + "All Fuels (Wh/pkm)": 3750.975009052906, + "Unlinked Passenger Trips": 1190906, "Passenger Paid Fares": 266185.0, - "Average Fare": 0.4786148515616993 + "Average Fare": 0.22351470225189898, + "Average Passengers": 2.1469068506274414 }, { "NTD ID": 50104, @@ -7983,11 +8393,12 @@ "UACE Code": "16264", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 41.18005106191652, - "All Fuels (Wh/pkm)": 41.18005106191652, - "Unlinked Passenger Trips": 1406686, + "Electric (Wh/pkm)": 92.79961336712819, + "All Fuels (Wh/pkm)": 92.79961336712819, + "Unlinked Passenger Trips": 2933522, "Passenger Paid Fares": 9189877.0, - "Average Fare": 6.532998124670325 + "Average Fare": 3.132711123352748, + "Average Passengers": 82.60659171721132 }, { "NTD ID": 50110, @@ -7995,25 +8406,27 @@ "UACE Code": "08380", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4309.1098671446825, - "All Fuels (Wh/pkm)": 4309.1098671446825, - "Unlinked Passenger Trips": 23323, + "Gasoline (Wh/pkm)": 7620.361394539115, + "All Fuels (Wh/pkm)": 7620.361394539115, + "Unlinked Passenger Trips": 65609, "Passenger 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1770.3623117789455, - "Diesel (Wh/pkm)": 2406.314100258412, - "All Fuels (Wh/pkm)": 2348.252058351803, - "Unlinked Passenger Trips": 1127191, + "Gasoline (Wh/pkm)": 3252.4989238742783, + "Diesel (Wh/pkm)": 4372.490063665463, + "All Fuels (Wh/pkm)": 4268.439467106925, + "Unlinked Passenger Trips": 2536434, "Passenger Paid Fares": 1299884.0, - "Average Fare": 1.153206510697832 + "Average Fare": 0.5124848507786917, + "Average Passengers": 1.8943282393802798 }, { "NTD ID": 50146, @@ -8188,11 +8632,25 @@ "UACE Code": "77770", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 315.0501395556924, - "All Fuels (Wh/pkm)": 315.0501395556924, - "Unlinked Passenger Trips": 44153, + "Gasoline (Wh/pkm)": 611.4019570608242, + "All Fuels (Wh/pkm)": 611.4019570608242, + "Unlinked Passenger Trips": 96435, "Passenger Paid Fares": 213617.0, - "Average Fare": 4.838108395805494 + "Average Fare": 2.2151397314253125, + "Average Passengers": 4.17890263612821 + }, + { + "NTD ID": 50148, + "Mode": "CB", + "UACE Code": "71155", + "CNG (%)": 100.0, + "All Fuels (%)": 100, + "CNG (Wh/pkm)": 197.46480954359728, + "All Fuels (Wh/pkm)": 197.46480954359728, + "Unlinked Passenger Trips": 14157, + "Passenger Paid Fares": 2058.0, + "Average Fare": 0.1453697817334181, + "Average Passengers": 1.91911839045597 }, { "NTD ID": 50148, @@ -8200,25 +8658,27 @@ "UACE Code": "71155", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 834.0135312220526, - "All Fuels (Wh/pkm)": 2248.0594289088726, - "Unlinked Passenger Trips": 360905, + "CNG (Wh/pkm)": 985.7711139609879, + "All Fuels (Wh/pkm)": 2573.0092256259427, + "Unlinked Passenger Trips": 800763, "Passenger Paid Fares": 60596.0, - "Average Fare": 0.16790013992601932 + "Average Fare": 0.07567282704120945, + "Average Passengers": 1.9452133107732794 }, { "NTD ID": 50148, "Mode": "MB", "UACE Code": "71155", - "CNG (%)": 90.23038824093305, - "Electric (%)": 9.769611759066946, + "CNG (%)": 84.80522851143148, + "Electric (%)": 15.194771488568529, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 900.4808459186714, - "Electric (Wh/pkm)": 578.0359203797487, - "All Fuels (Wh/pkm)": 868.9792285567063, - "Unlinked Passenger Trips": 446485, + "CNG (Wh/pkm)": 2113.688571571878, + "Electric (Wh/pkm)": 713.9198600468699, + "All Fuels (Wh/pkm)": 1900.9969144871734, + "Unlinked Passenger Trips": 999853, "Passenger Paid Fares": 146329.0, - "Average Fare": 0.3277355342284735 + "Average Fare": 0.14635051352548825, + "Average Passengers": 4.0243127895480395 }, { "NTD ID": 50149, @@ -8226,11 +8686,12 @@ "UACE Code": "26794", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2470.404695365546, - "All Fuels (Wh/pkm)": 2470.404695365546, - "Unlinked Passenger Trips": 28611, + "Gasoline (Wh/pkm)": 4508.8838044391205, + "All Fuels (Wh/pkm)": 4508.8838044391205, + "Unlinked Passenger Trips": 58143, "Passenger Paid Fares": 41820.0, - "Average Fare": 1.4616755793226381 + "Average Fare": 0.7192611320365306, + "Average 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1.4068717314788082, + "Average Passengers": 0.7900252546778078 }, { "NTD ID": 50154, "Mode": "MB", "UACE Code": "57628", - "Gasoline (%)": 26.66183223839878, - "Diesel (%)": 73.33816776160121, + "Gasoline (%)": 19.73441825363235, + "Diesel (%)": 80.26558174636766, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1644.222516751349, - "Diesel (Wh/pkm)": 2111.889811126672, - "All Fuels (Wh/pkm)": 1987.2011416664648, - "Unlinked Passenger Trips": 1227329, + "Gasoline (Wh/pkm)": 3189.053163338318, + "Diesel (Wh/pkm)": 3592.4024954826373, + "All Fuels (Wh/pkm)": 3512.8038512540447, + "Unlinked Passenger Trips": 2794203, "Passenger Paid Fares": 451202.0, - "Average Fare": 0.3676292175936526 + "Average Fare": 0.16147788832808496, + "Average Passengers": 1.6733391853981665 }, { "NTD ID": 50154, @@ -8276,11 +8740,12 @@ "UACE Code": "57628", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 325.61862629561216, - "All Fuels (Wh/pkm)": 325.61862629561216, - "Unlinked Passenger Trips": 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9.174960416117406, - "All Fuels (Wh/pkm)": 137.31257459295128, - "Unlinked Passenger Trips": 23231, + "Gasoline (Wh/pkm)": 171.73166463630253, + "Diesel (Wh/pkm)": 147.5951710961082, + "All Fuels (Wh/pkm)": 170.47613939293822, + "Unlinked Passenger Trips": 50468, "Passenger Paid Fares": 17472.0, - "Average Fare": 0.7520984890878567 + "Average Fare": 0.34619957200602364, + "Average Passengers": 3.87542675257335 }, { "NTD ID": 50159, @@ -8336,11 +8803,12 @@ "UACE Code": "43885", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1294.209830230397, - "All Fuels (Wh/pkm)": 3120.3764854943956, - "Unlinked Passenger Trips": 413691, + "Diesel (Wh/pkm)": 2174.4798153688735, + "All Fuels (Wh/pkm)": 5127.1897986130125, + "Unlinked Passenger Trips": 917258, "Passenger Paid Fares": 187218.0, - "Average Fare": 0.45255516798770096 + "Average Fare": 0.20410615115921585, + "Average Passengers": 3.9343235876347213 }, { "NTD ID": 50160, @@ -8348,11 +8816,12 @@ "UACE Code": "57466", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3184.662725815275, - "All Fuels (Wh/pkm)": 3184.662725815275, - "Unlinked Passenger Trips": 72234, + "Gasoline (Wh/pkm)": 6030.72581825343, + "All Fuels (Wh/pkm)": 6030.72581825343, + "Unlinked Passenger Trips": 147223, "Passenger Paid Fares": 228525.0, - "Average Fare": 3.1636763850818173 + "Average Fare": 1.5522370825210734, + "Average Passengers": 0.6159207515908459 }, { "NTD ID": 50161, @@ -8360,11 +8829,12 @@ "UACE Code": "57466", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2547.377026790909, - "All Fuels (Wh/pkm)": 2547.377026790909, - "Unlinked Passenger Trips": 77764, + "Gasoline (Wh/pkm)": 3393.5354458977727, + "All Fuels (Wh/pkm)": 3393.5354458977727, + "Unlinked Passenger Trips": 161683, "Passenger Paid Fares": 221752.0, - "Average Fare": 2.8516022838331363 + "Average Fare": 1.3715232893996276, + "Average Passengers": 0.7670324553832661 }, { "NTD ID": 50163, @@ -8372,11 +8842,12 @@ "UACE Code": "61705", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3223.8232564612767, - "All Fuels (Wh/pkm)": 3224.2285127229156, - "Unlinked Passenger Trips": 62845, + "Gasoline (Wh/pkm)": 5652.908123154112, + "All Fuels (Wh/pkm)": 5653.25382124568, + "Unlinked Passenger Trips": 131271, "Passenger Paid Fares": 44919.0, - "Average Fare": 0.7147585328984009 + "Average Fare": 0.3421852503599424, + "Average Passengers": 0.7159244264507422 }, { "NTD ID": 50165, @@ -8384,11 +8855,12 @@ "UACE Code": "22528", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2990.1562102474977, - "All Fuels (Wh/pkm)": 2990.1562102474977, - "Unlinked Passenger Trips": 71679, + "Gasoline (Wh/pkm)": 5974.140613945358, + "All Fuels (Wh/pkm)": 5974.140613945358, + "Unlinked Passenger Trips": 135103, "Passenger Paid Fares": 131938.0, - "Average Fare": 1.8406785808953807 + "Average Fare": 0.9765734291614546, + "Average Passengers": 0.7563676111089099 }, { "NTD ID": 50166, @@ -8396,23 +8868,23 @@ "UACE Code": "16885", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2930.304597434117, - "All Fuels (Wh/pkm)": 2930.304597434117, - "Unlinked Passenger Trips": 44618, + "Gasoline (Wh/pkm)": 5925.882104531462, + "All Fuels (Wh/pkm)": 5925.882104531462, + "Unlinked Passenger Trips": 86820, "Passenger Paid Fares": 20244.0, - "Average Fare": 0.45371823031063696 + "Average Fare": 0.2331720801658604, + "Average Passengers": 0.8092858508193972 }, { "NTD ID": 50166, "Mode": "MB", "UACE Code": "16885", - "Gasoline (%)": 85.23091794218183, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1276.604075609194, - "All Fuels (Wh/pkm)": 2067.966108590213, - "Unlinked Passenger Trips": 11964, + "Gasoline (%)": 68.57126036787984, + "Gasoline (Wh/pkm)": 5358.498810676751, + "Unlinked Passenger Trips": 25893, "Passenger Paid Fares": 104489.0, - "Average Fare": 8.733617519224339 + "Average Fare": 4.0354149770208165, + "Average Passengers": 0.6148992940604259 }, { "NTD ID": 50169, @@ -8420,11 +8892,12 @@ "UACE Code": "22528", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4238.170827949164, - "All Fuels (Wh/pkm)": 4238.170827949164, - "Unlinked Passenger Trips": 40787, + "Gasoline (Wh/pkm)": 8190.200792959905, + "All Fuels (Wh/pkm)": 8190.200792959905, + "Unlinked Passenger Trips": 83081, "Passenger Paid Fares": 92936.0, - "Average Fare": 2.278569151935666 + "Average Fare": 1.1186191788736293, + "Average Passengers": 0.5980947608943034 }, { "NTD ID": 50176, @@ -8432,19 +8905,19 @@ "UACE Code": "22960", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4009.5617352747417, - "All Fuels (Wh/pkm)": 4009.5617352747417, - "Unlinked Passenger Trips": 62952 + "Gasoline (Wh/pkm)": 7911.335127689403, + "All Fuels (Wh/pkm)": 7911.335127689403, + "Unlinked Passenger Trips": 137807, + "Average Passengers": 0.8733482200108147 }, { "NTD ID": 50176, "Mode": "MB", "UACE Code": "22960", - "Diesel (%)": 99.02948329180052, - "Diesel (Wh/pkm)": 3513.8108804676667, - "Unlinked Passenger Trips": 574576, + "Unlinked Passenger Trips": 1193506, "Passenger Paid Fares": 4062.0, - "Average Fare": 0.007069560858789786 + "Average Fare": 0.0034034181646342794, + "Average Passengers": 1.6198928973435014 }, { "NTD ID": 50182, @@ -8452,31 +8925,34 @@ "UACE Code": "16264", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1882.9508089547205, - "All Fuels (Wh/pkm)": 1883.304488346232, - "Unlinked Passenger Trips": 2648288, + "Gasoline (Wh/pkm)": 3501.32272228287, + "All Fuels (Wh/pkm)": 3501.637280708681, + "Unlinked Passenger Trips": 5661835, "Passenger Paid Fares": 5956185.0, - "Average Fare": 2.2490699652001593 + "Average Fare": 1.051988445442158, + "Average Passengers": 1.0446859883540234 }, { "NTD ID": 50184, "Mode": "DR", "UACE Code": "39430", - "Gasoline (%)": 99.97214807937796, + "Gasoline (%)": 99.99468515837859, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 710.5440646012664, - "All Fuels (Wh/pkm)": 1360.8109988912793, - "Unlinked Passenger Trips": 49730, + "Gasoline (Wh/pkm)": 1532.3773650902647, + "All Fuels (Wh/pkm)": 2919.960408051937, + "Unlinked Passenger Trips": 89969, "Passenger Paid Fares": 31514.0, - "Average Fare": 0.6337019907500503 + "Average Fare": 0.35027620624881906, + "Average Passengers": 0.5867676091503733 }, { "NTD ID": 50184, "Mode": "MB", "UACE Code": "39430", - "Unlinked Passenger Trips": 178496, + "Unlinked Passenger Trips": 348159, "Passenger Paid Fares": 54716.0, - "Average Fare": 0.3065390821082825 + "Average Fare": 0.1571580800726105, + "Average Passengers": 2.1027758129547824 }, { "NTD ID": 50191, @@ -8484,11 +8960,12 @@ "UACE Code": "19234", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 200.3286806359086, - "All Fuels (Wh/pkm)": 200.3286806359086, - "Unlinked Passenger Trips": 33496, + "Gasoline (Wh/pkm)": 430.90347669373807, + "All Fuels (Wh/pkm)": 430.90347669373807, + "Unlinked Passenger Trips": 77203, "Passenger Paid Fares": 185463.0, - "Average Fare": 5.536870074038691 + "Average Fare": 2.402277113583669, + "Average Passengers": 4.817227625969031 }, { "NTD ID": 50193, @@ -8496,25 +8973,27 @@ "UACE Code": "23824", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 353.42612406265744, - "All Fuels (Wh/pkm)": 353.42612406265744, - "Unlinked Passenger Trips": 216287, + "Gasoline (Wh/pkm)": 572.2665843522257, + "All Fuels (Wh/pkm)": 572.2665843522257, + "Unlinked Passenger Trips": 456102, "Passenger Paid Fares": 1668116.0, - "Average Fare": 7.712511616509545 + "Average Fare": 3.6573310356016857, + "Average Passengers": 3.4029231255866685 }, { "NTD ID": 50198, "Mode": "DR", "UACE Code": "17668", - "Gasoline (%)": 98.80196684646756, - "Diesel (%)": 1.19803315353243, + "Gasoline (%)": 97.23615828162085, + "Diesel (%)": 2.763841718379151, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1699.5304198777992, - "Diesel (Wh/pkm)": 2139.509400117865, - "All Fuels (Wh/pkm)": 1704.8015139296492, 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"Gasoline (%)": 95.57243828981966, + "Diesel (%)": 4.427561710180345, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2216.047897639176, - "Diesel (Wh/pkm)": 4631.757656663802, - "All Fuels (Wh/pkm)": 2275.8069783547876, - "Unlinked Passenger Trips": 104164, + "Gasoline (Wh/pkm)": 6844.004448710363, + "Diesel (Wh/pkm)": 7638.728997177478, + "All Fuels (Wh/pkm)": 6879.191368519697, + "Unlinked Passenger Trips": 222496, "Passenger Paid Fares": 129243.0, - "Average Fare": 1.2407645635728275 - }, - { - "NTD ID": 50204, - "Mode": "MB", - "UACE Code": "00017", - "Gasoline (%)": 92.85293112076782, - "Diesel (%)": 7.147068879232175, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1799.6141992984685, - "Diesel (Wh/pkm)": 1563.1378922859767, - "All Fuels (Wh/pkm)": 1782.7130747532215, - "Unlinked Passenger Trips": 83348, - "Passenger Paid Fares": 63087.0, - "Average Fare": 0.7569107837020684 + "Average Fare": 0.5808778584783547, + "Average Passengers": 0.720363493282869 }, { "NTD ID": 50209, "Mode": 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"Gasoline (%)": 59.130018784809366, - "Diesel (%)": 35.5030454715726, - "Other (%)": 5.3669357436180345, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2861.61939060866, - "Diesel (Wh/pkm)": 3483.943067018214, - "Other (Wh/pkm)": 3503.113173027911, - "All Fuels (Wh/pkm)": 3116.9918075264522, - "Unlinked Passenger Trips": 594288, - "Passenger Paid Fares": 211191.0, - "Average Fare": 0.3553681043534448 + "Average Fare": 2.7851481586464035, + "Average Passengers": 8.512333250915427 }, { "NTD ID": 50213, @@ -8602,9 +9055,10 @@ "UACE Code": "23824", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 2073.9855419678743, - "All Fuels (Wh/pkm)": 2073.9855419678743, - "Unlinked Passenger Trips": 562821 + "Electric (Wh/pkm)": 2286.4250489429905, + "All Fuels (Wh/pkm)": 2286.4250489429905, + "Unlinked Passenger Trips": 1501432, + "Average Passengers": 9.156791088773577 }, { "NTD ID": 50342, @@ -8612,43 +9066,40 @@ "UACE Code": "41212", "Gasoline (%)": 100.0, "All Fuels (%)": 100, 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1344.3071573985085, + "Unlinked Passenger Trips": 4277890, + "Average Passengers": 7.711064656226221 }, { "NTD ID": 50516, "Mode": "DR", "UACE Code": "57628", - "Gasoline (%)": 85.65306795773839, - "Diesel (%)": 14.346932042261626, + "Gasoline (%)": 85.77004657033171, + "Diesel (%)": 14.22995342966828, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3736.7573788687405, - "Diesel (Wh/pkm)": 2681.6495868550796, - "All Fuels (Wh/pkm)": 3585.3817809759335, - "Unlinked Passenger Trips": 33554, + "Gasoline (Wh/pkm)": 7037.020131353038, + "Diesel (Wh/pkm)": 5271.532859615056, + "All Fuels (Wh/pkm)": 6785.792114778002, + "Unlinked Passenger Trips": 78686, "Passenger Paid Fares": 82960.0, - "Average Fare": 2.4724324968707156 + "Average Fare": 1.0543171593421956, + "Average Passengers": 0.7159228602122065 }, { "NTD ID": 50516, @@ -8656,41 +9107,42 @@ "UACE Code": "57628", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2023.7605304277256, - "All Fuels (Wh/pkm)": 2023.7605304277256, 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75.55804673525056, - "Diesel (%)": 18.691429172703504, - "Electric (%)": 5.750524092045942, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1715.5033298365468, - "Diesel (Wh/pkm)": 2401.5092438195447, - "Electric (Wh/pkm)": 181.91647843302192, - "All Fuels (Wh/pkm)": 1755.5383580068274, - "Unlinked Passenger Trips": 111539, + "Gasoline (%)": 80.07392811142078, + "Diesel (%)": 13.830224394567297, + "Electric (%)": 6.095847494011916, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2836.316265593142, + "Diesel (Wh/pkm)": 4775.544682081964, + "Electric (Wh/pkm)": 439.114761564961, + "All Fuels (Wh/pkm)": 2958.386159307043, + "Unlinked Passenger Trips": 254153, "Passenger Paid Fares": 408933.0, - "Average Fare": 3.6662781627950762 + "Average Fare": 1.6090032382069068, + "Average Passengers": 0.8900366800580248 }, { "NTD ID": 50518, @@ -8698,25 +9150,27 @@ "UACE Code": "57628", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 745.581162438373, - "All Fuels (Wh/pkm)": 745.581162438373, - "Unlinked Passenger Trips": 261523, + "Diesel (Wh/pkm)": 1349.4130391913236, + "All Fuels (Wh/pkm)": 1349.4130391913236, + "Unlinked Passenger Trips": 565300, "Passenger Paid Fares": 677490.0, - "Average Fare": 2.590556088757012 + "Average Fare": 1.1984609941623916, + "Average Passengers": 7.644897843673573 }, { "NTD ID": 50519, "Mode": "DR", "UACE Code": "57628", - "Gasoline (%)": 81.0865656237149, - "Diesel (%)": 18.9134343762851, + "Gasoline (%)": 87.9539503190977, + "Diesel (%)": 12.046049680902291, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4487.279086586711, - "Diesel (Wh/pkm)": 3937.8786681694733, - "All Fuels (Wh/pkm)": 4383.368598986331, - "Unlinked Passenger Trips": 87842, + "Gasoline (Wh/pkm)": 7569.085471184825, + "Diesel (Wh/pkm)": 8878.648647793865, + "All Fuels (Wh/pkm)": 7726.8361020419525, + "Unlinked Passenger Trips": 197767, "Passenger Paid Fares": 76641.0, - "Average Fare": 0.872486965233032 + "Average Fare": 0.3875317924628477, + "Average 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5.5141033029874045 }, { "NTD ID": 60006, "Mode": "DR", "UACE Code": "27253", - "Gasoline (%)": 7.049481178737045, - "CNG (%)": 92.95051882126296, + "Gasoline (%)": 32.95868227475014, + "CNG (%)": 67.04131772524985, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2147.488900634215, - "CNG (Wh/pkm)": 771.6048979781879, - "All Fuels (Wh/pkm)": 868.5975817866783, - "Unlinked Passenger Trips": 206203, + "Gasoline (Wh/pkm)": 562.8763450064524, + "CNG (Wh/pkm)": 2003.6654635714397, + "All Fuels (Wh/pkm)": 1528.8003557344325, + "Unlinked Passenger Trips": 458602, "Passenger Paid Fares": 449277.0, - "Average Fare": 2.1788092316794616 + "Average Fare": 0.9796664646032943, + "Average Passengers": 0.9854424039613565 }, { "NTD ID": 60006, @@ -8806,11 +9267,12 @@ "UACE Code": "27253", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 284.69127935851964, - "All Fuels (Wh/pkm)": 284.69127935851964, - "Unlinked Passenger Trips": 4928858, + "CNG (Wh/pkm)": 589.7496958293584, + "All Fuels (Wh/pkm)": 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1402665.0, - "Average Fare": 2.6441330714331497 + "Average Fare": 1.186008521346065, + "Average Passengers": 14.758895767576293 }, { "NTD ID": 60007, @@ -8840,27 +9304,29 @@ "UACE Code": "22042", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 1013.0684906480511, - "All Fuels (Wh/pkm)": 5838.665711148732, - "Unlinked Passenger Trips": 252003, + "CNG (Wh/pkm)": 2171.168607434345, + "All Fuels (Wh/pkm)": 10612.164305069415, + "Unlinked Passenger Trips": 543185, "Passenger Paid Fares": 640160.0, - "Average Fare": 2.5402872188029506 + "Average Fare": 1.178530334968749, + "Average Passengers": 0.923737404052482 }, { "NTD ID": 60007, "Mode": "MB", "UACE Code": "22042", - "Gasoline (%)": 5.657467784991014, - "CNG (%)": 92.31317187100589, - "Electric (%)": 2.0293603440030865, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 762.4265823645317, - "CNG (Wh/pkm)": 868.6875034698523, - "Electric (Wh/pkm)": 491.7610495442611, - "All Fuels (Wh/pkm)": 855.0266301082612, - "Unlinked Passenger 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4.134244391539528 }, { "NTD ID": 60008, @@ -8880,11 +9347,12 @@ "UACE Code": "40429", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 568.9899833261976, - "All Fuels (Wh/pkm)": 568.9899833261976, - "Unlinked Passenger Trips": 2616234, + "Diesel (Wh/pkm)": 1213.536939435969, + "All Fuels (Wh/pkm)": 1213.536939435969, + "Unlinked Passenger Trips": 5885671, "Passenger Paid Fares": 7236926.0, - "Average Fare": 2.7661615895214267 + "Average Fare": 1.2295838486384985, + "Average Passengers": 9.043531224068744 }, { "NTD ID": 60008, @@ -8892,11 +9360,12 @@ "UACE Code": "40429", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3000.676902969937, - "All Fuels (Wh/pkm)": 3000.676902969937, - "Unlinked Passenger Trips": 1438798, + "Gasoline (Wh/pkm)": 5417.686011980315, + "All Fuels (Wh/pkm)": 5417.686011980315, + "Unlinked Passenger Trips": 3339075, "Passenger Paid Fares": 1500374.0, - "Average Fare": 1.0427968345799759 + "Average Fare": 0.44933821492479203, + 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506.315919363916, + "All Fuels (Wh/pkm)": 506.315919363916, + "Unlinked Passenger Trips": 810827, "Passenger Paid Fares": 1961315.0, - "Average Fare": 4.931966887450525 + "Average Fare": 2.4189068691595126, + "Average Passengers": 5.023718779565713 }, { "NTD ID": 60009, "Mode": "DR", "UACE Code": "47854", - "Gasoline (%)": 98.1899998174483, + "Gasoline (%)": 98.91484985249345, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5778.252474470002, - "All Fuels (Wh/pkm)": 6379.3803116209765, - "Unlinked Passenger Trips": 25952, + "Gasoline (Wh/pkm)": 10679.96978598598, + "All Fuels (Wh/pkm)": 11281.349156794566, + "Unlinked Passenger Trips": 54592, "Passenger Paid Fares": 43219.0, - "Average Fare": 1.6653437114673242 + "Average Fare": 0.7916727725674091, + "Average Passengers": 0.6404287253862498 }, { "NTD ID": 60009, "Mode": "MB", "UACE Code": "47854", - "Gasoline (%)": 6.481372209671127, - "Diesel (%)": 32.652430881606435, - "CNG (%)": 60.86619690872245, - "All Fuels (%)": 100, - "Gasoline 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"Unlinked Passenger Trips": 254367, "Passenger Paid Fares": 222336.0, - "Average Fare": 1.8592609317377888 + "Average Fare": 0.8740756466051021, + "Average Passengers": 0.7169437908935541 }, { "NTD ID": 60010, "Mode": "MB", "UACE Code": "51877", - "Diesel (%)": 99.06295928796843, - "Electric (%)": 0.9370407120315727, + "Diesel (%)": 98.89255695762657, + "Electric (%)": 1.1074430423734336, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2154.3059455501434, - "Electric (Wh/pkm)": 615.1939066381108, - "All Fuels (Wh/pkm)": 2139.8838391417585, - "Unlinked Passenger Trips": 1686275, + "Diesel (Wh/pkm)": 3974.4286494186113, + "Electric (Wh/pkm)": 960.3135385845328, + "All Fuels (Wh/pkm)": 3941.0490413345533, + "Unlinked Passenger Trips": 3782262, "Passenger Paid Fares": 195562.0, - "Average Fare": 0.11597278024047086 + "Average Fare": 0.0517050378847367, + "Average Passengers": 3.0863999337750303 }, { "NTD ID": 60011, "Mode": "DR", "UACE Code": "78580", - "Gasoline (%)": 45.131579609268755, - "LPG (%)": 27.434210195365623, - "Other (%)": 27.434210195365623, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2132.613220585272, - "LPG (Wh/pkm)": 2882.4733488663715, - "All Fuels (Wh/pkm)": 1753.2658307596275, - "Unlinked Passenger Trips": 950145, + "Gasoline (%)": 64.65548507199041, + "LPG (%)": 35.34451492800959, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3071.2044488992324, + "LPG (Wh/pkm)": 5454.234542726616, + "All Fuels (Wh/pkm)": 3913.4748761510127, + "Unlinked Passenger Trips": 2091389, "Passenger Paid Fares": 1437605.0, - "Average Fare": 1.5130374837524798 + "Average Fare": 0.6873924458816605, + "Average Passengers": 1.1142580164732792 }, { "NTD ID": 60011, "Mode": "MB", "UACE Code": "78580", - "Diesel (%)": 7.504463578230585, - "CNG (%)": 92.49553642176942, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1233.8738093270863, - "CNG (Wh/pkm)": 318.31329688080086, - "All Fuels (Wh/pkm)": 387.02120207399366, - "Unlinked Passenger Trips": 23823351, + "Diesel (%)": 3.0857133882852223, + "CNG (%)": 96.63256844355273, + "Electric (%)": 0.2817181681620501, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 3783.9651538058233, + "CNG (Wh/pkm)": 590.6668104692495, + "Electric (Wh/pkm)": 230.67836700241207, + "All Fuels (Wh/pkm)": 688.1886921289466, + "Unlinked Passenger Trips": 50283569, "Passenger Paid Fares": 10572299.0, - "Average Fare": 0.44377883699064835 + "Average Fare": 0.21025355220907252, + "Average Passengers": 4.990224560800294 }, { "NTD ID": 60011, @@ -9035,25 +9515,27 @@ "UACE Code": "78580", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 344.84726712795026, - "All Fuels (Wh/pkm)": 344.84726712795026, - "Unlinked Passenger Trips": 333422, + "Gasoline (Wh/pkm)": 626.0890330284637, + "All Fuels (Wh/pkm)": 626.0890330284637, + "Unlinked Passenger Trips": 697328, "Passenger Paid Fares": 1553610.0, - "Average Fare": 4.659590548913989 + "Average Fare": 2.2279472500745703, + "Average Passengers": 5.056515020476056 }, { "NTD ID": 60012, "Mode": "DR", "UACE Code": "91027", - "Gasoline (%)": 26.749549469043686, - "Diesel (%)": 73.25045053095633, + "Gasoline (%)": 46.858043840630614, + "Diesel (%)": 53.141956159369386, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2308.6835912495785, - "Diesel (Wh/pkm)": 1544.0109626678764, - "All Fuels (Wh/pkm)": 1748.5574457265757, - "Unlinked Passenger Trips": 65967, + "Gasoline (Wh/pkm)": 3662.0151536435683, + "Diesel (Wh/pkm)": 5518.197279905192, + "All Fuels (Wh/pkm)": 4648.426645419571, + "Unlinked Passenger Trips": 126858, "Passenger Paid Fares": 124978.0, - "Average Fare": 1.8945533372746979 + "Average Fare": 0.9851802803134213, + "Average Passengers": 0.9766336056310942 }, { "NTD ID": 60012, @@ -9061,11 +9543,12 @@ "UACE Code": "91027", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2085.9684687069202, - "All Fuels (Wh/pkm)": 2085.9684687069202, - "Unlinked Passenger Trips": 691221, + "Diesel (Wh/pkm)": 4332.283404515194, + "All Fuels (Wh/pkm)": 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"06058", - "CNG (%)": 22.048989790380222, - "CNG (Wh/pkm)": 1956.8212159653076, - "Unlinked Passenger Trips": 19460, + "CNG (%)": 19.99984401931041, + "CNG (Wh/pkm)": 3855.731271071483, + "Unlinked Passenger Trips": 37884, "Passenger Paid Fares": 42696.0, - "Average Fare": 2.1940390544707093 + "Average Fare": 1.1270193221412734, + "Average Passengers": 0.4314199856696444 }, { "NTD ID": 60016, @@ -9109,51 +9615,47 @@ "UACE Code": "06058", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 1810.9636759976995, - "All Fuels (Wh/pkm)": 1810.9636759976995, - "Unlinked Passenger Trips": 225003, + "CNG (Wh/pkm)": 2566.123842704896, + "All Fuels (Wh/pkm)": 2566.123842704896, + "Unlinked Passenger Trips": 489745, "Passenger Paid Fares": 195369.0, - "Average Fare": 0.8682950893988081 + "Average Fare": 0.39891984604232816, + "Average Passengers": 1.336109652194211 }, { "NTD ID": 60017, "Mode": "DR", "UACE Code": "65080", - "Gasoline (%)": 7.3530867378602025, - "Diesel (%)": 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5457.0, - "Average Fare": 0.05885334656284377 + "Average Fare": 0.029421913583575057, + "Average Passengers": 0.8751628168739702 }, { "NTD ID": 60024, "Mode": "MB", "UACE Code": "81739", - "Gasoline (%)": 37.61184786507192, - "CNG (%)": 60.93278769233511, - "Electric (%)": 1.4553644425929677, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 492.92738117573083, - "CNG (Wh/pkm)": 151.13266894302956, - "Electric (Wh/pkm)": 589.3238433580277, - "All Fuels (Wh/pkm)": 286.06525466187, - "Unlinked Passenger Trips": 2428515, + "Gasoline (%)": 28.653662872943762, + "CNG (%)": 69.32225845467406, + "Electric (%)": 2.0240786723821813, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 958.6178123503059, + "CNG (Wh/pkm)": 309.4067363676026, + "Electric (Wh/pkm)": 453.4778559544959, + "All Fuels (Wh/pkm)": 498.3456022181177, + "Unlinked Passenger Trips": 5669082, "Passenger Paid Fares": 610.0, - "Average Fare": 0.0002511823068830129 + "Average Fare": 0.00010760119539636223, + "Average Passengers": 8.392830930658251 }, { "NTD ID": 60032, @@ -9285,11 +9807,12 @@ "UACE Code": "62677", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1969.324765785844, - "All Fuels (Wh/pkm)": 1969.324765785844, - "Unlinked Passenger Trips": 188935, + "Gasoline (Wh/pkm)": 4310.134345093162, + "All Fuels (Wh/pkm)": 4310.134345093162, + "Unlinked Passenger Trips": 415452, "Passenger Paid Fares": 357245.0, - "Average Fare": 1.8908354725170031 + "Average Fare": 0.8598947652195681, + "Average Passengers": 1.2304202693389854 }, { "NTD ID": 60032, @@ -9297,11 +9820,12 @@ "UACE Code": "62677", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 7598.069108833351, - "All Fuels (Wh/pkm)": 7598.069108833351, - "Unlinked Passenger Trips": 849429, + "Diesel (Wh/pkm)": 14961.754333462686, + "All Fuels (Wh/pkm)": 14961.754333462686, + "Unlinked Passenger Trips": 1817077, "Passenger Paid Fares": 1019330.0, - "Average Fare": 1.2000178943737498 + "Average Fare": 0.5609723748635859, + "Average Passengers": 20.536595840867992 }, { "NTD ID": 60032, @@ -9309,11 +9833,12 @@ "UACE Code": "62677", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1152.479994181805, - "All Fuels (Wh/pkm)": 1152.479994181805, - "Unlinked Passenger Trips": 7352374, + "Diesel (Wh/pkm)": 2169.088987474258, + "All Fuels (Wh/pkm)": 2169.088987474258, + "Unlinked Passenger Trips": 16078874, "Passenger Paid Fares": 6789815.0, - "Average Fare": 0.9234860740218057 + "Average Fare": 0.42228174684371556, + "Average Passengers": 5.027906448878215 }, { "NTD ID": 60032, @@ -9321,11 +9846,12 @@ "UACE Code": "62677", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 213.47158395435366, - "All Fuels (Wh/pkm)": 213.47158395435366, - "Unlinked Passenger Trips": 3589947, + "Electric (Wh/pkm)": 523.7331342053094, + "All Fuels (Wh/pkm)": 523.7331342053094, + "Unlinked Passenger Trips": 7449213, "Passenger Paid Fares": 2481517.0, - "Average Fare": 0.6912405670612964 + "Average Fare": 0.3331247206919711, + "Average Passengers": 9.75798643107816 }, { "NTD ID": 60033, @@ -9333,23 +9859,27 @@ "UACE Code": "50392", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3463.949940241306, - "All Fuels (Wh/pkm)": 3463.949940241306, - "Unlinked Passenger Trips": 168300, + "Gasoline (Wh/pkm)": 6256.3995005219185, + "All Fuels (Wh/pkm)": 6256.3995005219185, + "Unlinked Passenger Trips": 389465, "Passenger Paid Fares": 212187.0, - "Average Fare": 1.2607664884135472 + "Average Fare": 0.5448166073973271, + "Average Passengers": 0.7268054304408623 }, { "NTD ID": 60033, "Mode": "MB", "UACE Code": "50392", - "CNG (%)": 97.13191974625717, + "CNG (%)": 98.54621742200187, + "Electric (%)": 1.453782577998116, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 421.94922186594954, - "All Fuels (Wh/pkm)": 663.4666749239652, - "Unlinked Passenger Trips": 1523138, + "CNG (Wh/pkm)": 789.0606235429896, + "Electric (Wh/pkm)": 532.580964621527, + "All Fuels (Wh/pkm)": 1012.9655351020933, + "Unlinked Passenger Trips": 3255793, "Passenger Paid Fares": 911200.0, - "Average Fare": 0.5982386362890296 + "Average Fare": 0.27987037259432646, + "Average Passengers": 3.433969931796094 }, { "NTD ID": 60033, @@ -9357,9 +9887,10 @@ "UACE Code": "50392", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 1404.3292508907678, - "All Fuels (Wh/pkm)": 1404.3292508907678, - "Unlinked Passenger Trips": 40903 + "Electric (Wh/pkm)": 2693.031979710384, + "All Fuels (Wh/pkm)": 2693.031979710384, + "Unlinked Passenger Trips": 105939, + "Average Passengers": 4.312695625620276 }, { "NTD ID": 60033, @@ -9367,11 +9898,12 @@ "UACE Code": "50392", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 252.46821792589608, - "All Fuels (Wh/pkm)": 252.46821792589608, - "Unlinked Passenger Trips": 18204, + "Gasoline (Wh/pkm)": 583.6595978350953, + "All Fuels (Wh/pkm)": 583.6595978350953, + "Unlinked Passenger Trips": 36366, "Passenger Paid Fares": 41270.0, - "Average Fare": 2.2670841573280596 + "Average Fare": 1.1348512346697464, + "Average Passengers": 3.9461606762227754 }, { "NTD ID": 60038, @@ -9379,39 +9911,40 @@ "UACE Code": "46045", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1353.318298522831, - "All Fuels (Wh/pkm)": 1353.318298522831, - "Unlinked Passenger Trips": 29144, + "Gasoline (Wh/pkm)": 2048.465177546926, + "All Fuels (Wh/pkm)": 2048.465177546926, + "Unlinked Passenger Trips": 59273, "Passenger Paid Fares": 37343.0, - "Average Fare": 1.28132720285479 + "Average Fare": 0.6300170397988967, + "Average Passengers": 1.225471540194677 }, { "NTD ID": 60038, "Mode": "MB", "UACE Code": "46045", - "Diesel (%)": 43.6707715234668, - "CNG (%)": 56.32922847653321, + "Diesel (%)": 41.08009722933817, + "CNG (%)": 58.919902770661814, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 399.75967520923746, - "CNG (Wh/pkm)": 129.06044489270823, - "All Fuels (Wh/pkm)": 247.27688728002283, - "Unlinked Passenger Trips": 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"04384", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1109.7221769592898, - "All Fuels (Wh/pkm)": 1109.7221769592898, - "Unlinked Passenger Trips": 99059, + "Diesel (Wh/pkm)": 1050.464133986471, + "All Fuels (Wh/pkm)": 1050.464133986471, + "Unlinked Passenger Trips": 220360, "Passenger Paid Fares": 214017.0, - "Average Fare": 2.1605003078973137 + "Average Fare": 0.9712152840805954, + "Average Passengers": 5.663567578192718 }, { "NTD ID": 60048, "Mode": "DR", "UACE Code": "04384", - "Gasoline (%)": 69.55282647214122, - "Diesel (%)": 30.44717352785878, + "Gasoline (%)": 68.5871296390397, + "Diesel (%)": 31.412870360960294, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2997.393713947974, - "Diesel (Wh/pkm)": 3903.3915613822132, - "All Fuels (Wh/pkm)": 3273.244450714942, - "Unlinked Passenger Trips": 752118, + "Gasoline (Wh/pkm)": 4993.841919539871, + "Diesel (Wh/pkm)": 6130.173299428083, + "All Fuels (Wh/pkm)": 5350.796222775066, + "Unlinked Passenger Trips": 1667101, 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0.14667561066907628, + "Average Passengers": 5.581627962108747 }, { "NTD ID": 60048, @@ -9461,11 +9997,12 @@ "UACE Code": "04384", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 278.62843665094863, - "All Fuels (Wh/pkm)": 278.62843665094863, - "Unlinked Passenger Trips": 281009, + "Gasoline (Wh/pkm)": 525.312535011791, + "All Fuels (Wh/pkm)": 525.312535011791, + "Unlinked Passenger Trips": 608961, "Passenger Paid Fares": 1178665.0, - "Average Fare": 4.194403026237594 + "Average Fare": 1.9355344595138277, + "Average Passengers": 4.492723013081937 }, { "NTD ID": 60048, @@ -9473,41 +10010,44 @@ "UACE Code": "04384", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 493.7392030726563, - "All Fuels (Wh/pkm)": 493.7392030726563, - "Unlinked Passenger Trips": 474354, + "Diesel (Wh/pkm)": 912.0271156904182, + "All Fuels (Wh/pkm)": 912.0271156904182, + "Unlinked Passenger Trips": 951676, "Passenger Paid Fares": 1022592.0, - "Average Fare": 2.1557570928041083 + "Average Fare": 1.074516957451906, + "Average Passengers": 16.01958659203554 }, { "NTD ID": 60051, "Mode": "DR", "UACE Code": "20287", - "Gasoline (%)": 65.66848946203076, - "CNG (%)": 34.33151053796923, + "Gasoline (%)": 68.95326123538004, + "CNG (%)": 31.046738764619956, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2985.5313597024247, - "CNG (Wh/pkm)": 622.5756236436087, - "All Fuels (Wh/pkm)": 2174.2929621698445, - "Unlinked Passenger Trips": 161260, + "Gasoline (Wh/pkm)": 5243.321747410204, + "CNG (Wh/pkm)": 1180.5693196828229, + "All Fuels (Wh/pkm)": 3981.969614520428, + "Unlinked Passenger Trips": 342221, "Passenger Paid Fares": 163506.0, - "Average Fare": 1.0139278184298648 + "Average Fare": 0.47777897908076944, + "Average Passengers": 1.1355458387866328 }, { "NTD ID": 60051, "Mode": "MB", "UACE Code": "20287", - "Gasoline (%)": 15.88909394590835, - "Diesel (%)": 12.271999205142627, - "CNG (%)": 71.83890684894901, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 794.34767960422, - "Diesel (Wh/pkm)": 1655.0184970234432, - "CNG (Wh/pkm)": 420.8177252551079, - "All Fuels (Wh/pkm)": 631.6293595190211, - "Unlinked Passenger Trips": 2563876, + "Gasoline (%)": 17.309559057994207, + "Diesel (%)": 9.43106871488663, + "CNG (%)": 73.25937222711917, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1583.6422650686654, + "Diesel (Wh/pkm)": 3878.272437316978, + "CNG (Wh/pkm)": 840.6256414943272, + "All Fuels (Wh/pkm)": 1255.721099392228, + "Unlinked Passenger Trips": 5587993, "Passenger Paid Fares": 664457.0, - "Average Fare": 0.2591611294774006 + "Average Fare": 0.11890798717893884, + "Average Passengers": 3.35496794500462 }, { "NTD ID": 60051, @@ -9515,11 +10055,12 @@ "UACE Code": "20287", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 263.6140181546072, - "All Fuels (Wh/pkm)": 263.6140181546072, - "Unlinked Passenger Trips": 89104, + "Gasoline (Wh/pkm)": 792.246091218061, + "All Fuels (Wh/pkm)": 792.246091218061, + "Unlinked Passenger Trips": 187074, 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-9588,64 +10137,68 @@ "UACE Code": "18748", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3100.6483381121757, - "All Fuels (Wh/pkm)": 3100.6483381121757, - "Unlinked Passenger Trips": 70828, + "Gasoline (Wh/pkm)": 4824.112432648849, + "All Fuels (Wh/pkm)": 4824.112432648849, + "Unlinked Passenger Trips": 155090, "Passenger Paid Fares": 120651.0, - "Average Fare": 1.7034364940419042 + "Average Fare": 0.7779418402218067, + "Average Passengers": 0.6651841514921594 }, { "NTD ID": 60059, "Mode": "MB", "UACE Code": "18748", - "Gasoline (%)": 41.24616023755877, - "Diesel (%)": 58.75383976244124, + "Gasoline (%)": 32.945440624382535, + "Diesel (%)": 67.05455937561747, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1191.4575760138148, - "Diesel (Wh/pkm)": 3115.9023412667902, - "All Fuels (Wh/pkm)": 2322.1427697072363, - "Unlinked Passenger Trips": 210472, + "Gasoline (Wh/pkm)": 3440.128882560893, + "Diesel (Wh/pkm)": 5557.457101591764, + "All Fuels (Wh/pkm)": 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100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 828.6499223593771, - "All Fuels (Wh/pkm)": 902.3720137694469, - "Unlinked Passenger Trips": 315664, + "CNG (Wh/pkm)": 1908.7333544461267, + "All Fuels (Wh/pkm)": 2004.0124447938465, + "Unlinked Passenger Trips": 669271, "Passenger Paid Fares": 158408.0, - "Average Fare": 0.5018247250240763 + "Average Fare": 0.2366873807471114, + "Average Passengers": 1.3749638359329868 }, { "NTD ID": 60088, "Mode": "DR", "UACE Code": "62677", - "LPG (%)": 50.0, - "Other (%)": 50.0, + "LPG (%)": 100.0, "All Fuels (%)": 100, - "LPG (Wh/pkm)": 5426.920986716685, - "All Fuels (Wh/pkm)": 2713.4604933583423, - "Unlinked Passenger Trips": 59993, + "LPG (Wh/pkm)": 11626.093635311121, + "All Fuels (Wh/pkm)": 11626.093635311121, + "Unlinked Passenger Trips": 120937, "Passenger Paid Fares": 129665.0, - "Average Fare": 2.1613354891403995 + "Average Fare": 1.0721698074203925, + "Average Passengers": 0.7214598189613345 }, { "NTD ID": 60088, @@ -9653,11 +10206,12 @@ "UACE Code": "62677", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1379.1808407017995, - "All Fuels (Wh/pkm)": 1379.1808407017995, - "Unlinked Passenger Trips": 1325166, + "Diesel (Wh/pkm)": 2735.3034251391746, + "All Fuels (Wh/pkm)": 2735.3034251391746, + "Unlinked Passenger Trips": 2685475, "Passenger Paid Fares": 1988791.0, - "Average Fare": 1.5007863165822244 + "Average Fare": 0.7405732691609492, + "Average Passengers": 3.736412780599345 }, { "NTD ID": 60090, @@ -9665,93 +10219,112 @@ "UACE Code": "52390", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3214.12294614999, - "All Fuels (Wh/pkm)": 3214.12294614999, - "Unlinked Passenger Trips": 11783, + "Gasoline (Wh/pkm)": 3428.936479770445, + "All Fuels (Wh/pkm)": 3428.936479770445, + "Unlinked Passenger Trips": 21514, "Passenger Paid Fares": 14778.0, - "Average Fare": 1.2541797504879912 + "Average Fare": 0.6869015524774565, + "Average Passengers": 1.1011198594303389 }, { "NTD ID": 60090, 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"Average Fare": 0.24603548000803557 + "Average Fare": 0.10358996516036667, + "Average Passengers": 3.331731316560239 }, { "NTD ID": 60101, @@ -9759,11 +10332,12 @@ "UACE Code": "23500", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 230.6353615673233, - "All Fuels (Wh/pkm)": 230.6353615673233, - "Unlinked Passenger Trips": 230354, + "Gasoline (Wh/pkm)": 475.65910018600044, + "All Fuels (Wh/pkm)": 475.65910018600044, + "Unlinked Passenger Trips": 469761, "Passenger Paid Fares": 883169.0, - "Average Fare": 3.8339642463339034 + "Average Fare": 1.8800389985545842, + "Average Passengers": 6.659925505729945 }, { "NTD ID": 60101, @@ -9771,11 +10345,12 @@ "UACE Code": "23500", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1109.1812333528676, - "All Fuels (Wh/pkm)": 1109.1812333528676, - "Unlinked Passenger Trips": 175637, + "Diesel (Wh/pkm)": 1674.7531069954334, + "All Fuels (Wh/pkm)": 1674.7531069954334, + "Unlinked Passenger Trips": 400872, "Passenger 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Code": "49933", - "Gasoline (%)": 43.32914806202127, - "CNG (%)": 56.67085193797874, + "Gasoline (%)": 45.46754684695264, + "CNG (%)": 54.532453153047356, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2153.247596051659, - "CNG (Wh/pkm)": 802.5717667951606, - "All Fuels (Wh/pkm)": 1387.8080966916425, - "Unlinked Passenger Trips": 81960 + "Gasoline (Wh/pkm)": 3938.16098564784, + "CNG (Wh/pkm)": 1503.416540594437, + "All Fuels (Wh/pkm)": 2610.43511175267, + "Unlinked Passenger Trips": 173890, + "Average Passengers": 0.7764620424754477 }, { "NTD ID": 70001, "Mode": "MB", "UACE Code": "49933", - "Diesel (%)": 44.8943138591855, - "CNG (%)": 45.504686268581565, - "Electric (%)": 9.600999872232926, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 462.065966433217, - "CNG (Wh/pkm)": 389.28086735247354, - "Electric (Wh/pkm)": 254.69356703852472, - "All Fuels (Wh/pkm)": 409.03551164531774, - "Unlinked Passenger Trips": 2199947, + "Diesel (%)": 23.126316439013475, + "CNG (%)": 70.47741319906538, + "Electric (%)": 6.396270361921147, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 4031.2901415895976, + "CNG (Wh/pkm)": 897.6917655309346, + "Electric (Wh/pkm)": 1216.2663946500534, + "All Fuels (Wh/pkm)": 1642.754536488995, + "Unlinked Passenger Trips": 4220136, "Passenger Paid Fares": 2045249.0, - "Average Fare": 0.9296810332248914 + "Average Fare": 0.48464054239010307, + "Average Passengers": 3.7465044893044643 }, { "NTD ID": 70002, "Mode": "DR", "UACE Code": "65269", - "Gasoline (%)": 76.08954494506219, - "CNG (%)": 23.910455054937806, + "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5059.770300371035, - "CNG (Wh/pkm)": 1178.185805180963, - "All Fuels (Wh/pkm)": 4131.665784229179, - "Unlinked Passenger Trips": 80454, + "Gasoline (Wh/pkm)": 8065.87174552155, + "All Fuels (Wh/pkm)": 8835.921503237003, + "Unlinked Passenger Trips": 165165, "Passenger Paid Fares": 146455.0, - "Average Fare": 1.8203569741715764 + "Average Fare": 0.8867193412647958, + "Average 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ID": 70003, @@ -10022,54 +10653,57 @@ "UACE Code": "83953", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3853.3574540830987, - "All Fuels (Wh/pkm)": 3853.3574540830987, - "Unlinked Passenger Trips": 16043, + "Gasoline (Wh/pkm)": 7774.598853868628, + "All Fuels (Wh/pkm)": 7774.598853868628, + "Unlinked Passenger Trips": 32095, "Passenger Paid Fares": 25126.0, - "Average Fare": 1.566165929065636 + "Average Fare": 0.7828633743573765, + "Average Passengers": 0.70927662885101 }, { "NTD ID": 70003, "Mode": "MB", "UACE Code": "83953", - "Diesel (%)": 97.06363123882049, - "Electric (%)": 2.936368761179502, + "Diesel (%)": 96.31600458839257, + "Electric (%)": 3.6839954116074316, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1224.1269414365925, - "Electric (Wh/pkm)": 332.8601693193665, - "All Fuels (Wh/pkm)": 1197.9560623613693, - "Unlinked Passenger Trips": 909783, + "Diesel (Wh/pkm)": 1829.1811496417613, + "Electric (Wh/pkm)": 409.19052033514225, + "All Fuels (Wh/pkm)": 1776.86876001285, + "Unlinked Passenger Trips": 1975433, "Passenger Paid Fares": 694032.0, - "Average Fare": 0.7628544389156535 + "Average Fare": 0.35133158148112337, + "Average Passengers": 4.496955461131548 }, { "NTD ID": 70005, "Mode": "DR", "UACE Code": "43912", - "Gasoline (%)": 88.05800654443463, - "CNG (%)": 11.700825845322807, - "Other (%)": 0.24116761024255956, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 943.9712507272776, - "CNG (Wh/pkm)": 558.4326207291, - "All Fuels (Wh/pkm)": 896.5834941579915, - "Unlinked Passenger Trips": 329713, + "Gasoline (%)": 86.7150362654665, + "CNG (%)": 13.2849637345335, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1663.9102338940045, + "CNG (Wh/pkm)": 866.9554572461759, + "All Fuels (Wh/pkm)": 1558.035080835708, + "Unlinked Passenger Trips": 767833, "Passenger Paid Fares": 287661.0, - "Average Fare": 0.8724587747525878 + "Average Fare": 0.37464005845020987, + "Average Passengers": 2.295832274290258 }, { "NTD ID": 70005, "Mode": "MB", "UACE Code": "43912", - "Diesel (%)": 32.400049121619155, - "CNG (%)": 67.55994994905292, - "Electric (%)": 0.04000092932792996, + "Diesel (%)": 29.081532917411757, + "CNG (%)": 70.74997006960953, + "Electric (%)": 0.16849701297870412, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 888.7587895556037, - "CNG (Wh/pkm)": 231.6823845731866, - "Electric (Wh/pkm)": 224.80773518390365, - "All Fuels (Wh/pkm)": 450.0620004015722, - "Unlinked Passenger Trips": 9558145 + "Diesel (Wh/pkm)": 1610.0903332621515, + "CNG (Wh/pkm)": 429.07688693551756, + "Electric (Wh/pkm)": 281.34782983516646, + "All Fuels (Wh/pkm)": 777.4743887090401, + "Unlinked Passenger Trips": 20399885, + "Average Passengers": 5.5798290983403565 }, { "NTD ID": 70005, @@ -10077,25 +10711,27 @@ "UACE Code": "43912", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 224.12292303815548, - "All Fuels (Wh/pkm)": 224.12292303815548, - "Unlinked Passenger Trips": 37936, + "Gasoline (Wh/pkm)": 486.1809820884194, + "All Fuels 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3192.9668621571714, - "Unlinked Passenger Trips": 39310, + "Gasoline (Wh/pkm)": 6142.96174888671, + "All Fuels (Wh/pkm)": 6142.96174888671, + "Unlinked Passenger Trips": 82576, "Passenger Paid Fares": 140069.0, - "Average Fare": 3.5631900279827016 + "Average Fare": 1.696243460569657, + "Average Passengers": 1.0 }, { "NTD ID": 70012, @@ -10203,11 +10845,12 @@ "UACE Code": "82225", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1012.7226282263421, - "All Fuels (Wh/pkm)": 1012.7226282263421, - "Unlinked Passenger Trips": 587085, + "Diesel (Wh/pkm)": 1910.236572309177, + "All Fuels (Wh/pkm)": 1910.236572309177, + "Unlinked Passenger Trips": 1231228, "Passenger Paid Fares": 561966.0, - "Average Fare": 0.9572140320396535 + "Average Fare": 0.4564272417456393, + "Average Passengers": 4.782812876294454 }, { "NTD ID": 70014, @@ -10215,11 +10858,12 @@ "UACE Code": "88084", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2255.3376599648313, - "All Fuels 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"All Fuels (Wh/pkm)": 2187.8386039094576, + "Unlinked Passenger Trips": 4870272, + "Average Passengers": 5.468650048310392 }, { "NTD ID": 70030, @@ -10327,11 +10979,12 @@ "UACE Code": "41590", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1324.4050849686428, - "All Fuels (Wh/pkm)": 1324.4050849686428, - "Unlinked Passenger Trips": 268006, + "Diesel (Wh/pkm)": 2449.352289758506, + "All Fuels (Wh/pkm)": 2449.352289758506, + "Unlinked Passenger Trips": 584691, "Passenger Paid Fares": 95264.0, - "Average Fare": 0.35545472862547856 + "Average Fare": 0.1629305051728178, + "Average Passengers": 4.680781426292651 }, { "NTD ID": 70035, @@ -10339,51 +10992,55 @@ "UACE Code": "43912", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2187.695235496505, - "All Fuels (Wh/pkm)": 2187.695235496505, - "Unlinked Passenger Trips": 13364 + "Diesel (Wh/pkm)": 2335.994249130385, + "All Fuels (Wh/pkm)": 2335.994249130385, + "Unlinked Passenger Trips": 36767, + "Average 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"Average Fare": 0.842982739038378 + "Average Fare": 0.364326663192214, + "Average Passengers": 0.8137845952335513 }, { "NTD ID": 70048, @@ -10413,27 +11072,29 @@ "UACE Code": "48232", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4294.169811238139, - "All Fuels (Wh/pkm)": 4294.169811238139, - "Unlinked Passenger Trips": 64667, + "Gasoline (Wh/pkm)": 7207.637645327589, + "All Fuels (Wh/pkm)": 7207.637645327589, + "Unlinked Passenger Trips": 147512, "Passenger Paid Fares": 82800.0, - "Average Fare": 1.2804057711042727 + "Average Fare": 0.561310266283421, + "Average Passengers": 0.8513206556946872 }, { "NTD ID": 70048, "Mode": "MB", "UACE Code": "48232", - "Gasoline (%)": 44.64592631511287, - "Diesel (%)": 51.76876147570992, - "Electric (%)": 3.5853122091772147, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1789.6150035432836, - "Diesel (Wh/pkm)": 1895.4447636177108, - "Electric (Wh/pkm)": 928.6236775712091, - "All Fuels (Wh/pkm)": 1813.5325324764963, - "Unlinked Passenger Trips": 700155, + "Gasoline (%)": 43.33492019680484, + "Diesel (%)": 43.26173878032661, + "Electric (%)": 13.403341022868561, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2642.858623558578, + "Diesel (Wh/pkm)": 3498.93133447231, + "Electric (Wh/pkm)": 758.075493743825, + "All Fuels (Wh/pkm)": 2760.5866530931703, + "Unlinked Passenger Trips": 1632427, "Passenger Paid Fares": 200506.0, - "Average Fare": 0.2863737315308753 + "Average Fare": 0.12282693192406154, + "Average Passengers": 2.554506851989388 }, { "NTD ID": 70049, @@ -10441,17 +11102,19 @@ "UACE Code": "22366", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2118.227392016963, - "All Fuels (Wh/pkm)": 2118.227392016963, - "Unlinked Passenger Trips": 158713, + "Gasoline (Wh/pkm)": 4168.620405580531, + "All Fuels (Wh/pkm)": 4168.620405580531, + "Unlinked Passenger Trips": 341827, "Passenger Paid Fares": 117497.0, - "Average Fare": 0.7403111276328971 + "Average Fare": 0.34373235584082007, + "Average 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Code": "41590", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 313.1765265781838, - "All Fuels (Wh/pkm)": 313.1765265781838, - "Unlinked Passenger Trips": 31124, - "Passenger Paid Fares": 191574.0, - "Average Fare": 6.155185708777792 + "Average Fare": 0.8433269804036554, + "Average Passengers": 1.4520104294997789 }, { "NTD ID": 70271, @@ -10495,9 +11135,10 @@ "UACE Code": "43912", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 300.9005786371349, - "All Fuels (Wh/pkm)": 300.9005786371349, - "Unlinked Passenger Trips": 1234901 + "Electric (Wh/pkm)": 674.9276772438192, + "All Fuels (Wh/pkm)": 674.9276772438192, + "Unlinked Passenger Trips": 2969380, + "Average Passengers": 16.725083907040716 }, { "NTD ID": 70275, @@ -10505,11 +11146,12 @@ "UACE Code": "65269", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 476.58131515227217, - "All Fuels (Wh/pkm)": 476.58131515227217, - "Unlinked Passenger Trips": 96498, + "Gasoline 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"NTD ID": 80001, @@ -10555,29 +11200,31 @@ "UACE Code": "78499", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 229.3000750488025, - "All Fuels (Wh/pkm)": 229.3000750488025, - "Unlinked Passenger Trips": 10734065, + "Electric (Wh/pkm)": 470.64369804692296, + "All Fuels (Wh/pkm)": 470.64369804692296, + "Unlinked Passenger Trips": 21777795, "Passenger Paid Fares": 4220712.0, - "Average Fare": 0.39320723323363516 + "Average Fare": 0.19380805081506186, + "Average Passengers": 17.53587361800431 }, { "NTD ID": 80001, "Mode": "MB", "UACE Code": "78499", - "Gasoline (%)": 6.875475066096332, - "Diesel (%)": 84.91719662180839, - "CNG (%)": 7.7921915169691465, - "Electric (%)": 0.41513679512613305, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1013.8277413293849, - "Diesel (Wh/pkm)": 1365.4726979603618, - "CNG (Wh/pkm)": 386.7399029300403, - "Electric (Wh/pkm)": 438.38760803612223, - "All Fuels (Wh/pkm)": 1261.1820314874622, - "Unlinked Passenger Trips": 15596147, + "Gasoline (%)": 7.670793721930745, + "Diesel (%)": 79.74481571056982, + "CNG (%)": 10.044876467371196, + "Electric (%)": 2.539514100128239, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1803.0547975997213, + "Diesel (Wh/pkm)": 2823.237137619699, + "CNG (Wh/pkm)": 648.5885644848449, + "Electric (Wh/pkm)": 548.3760057907027, + "All Fuels (Wh/pkm)": 2468.7698727572197, + "Unlinked Passenger Trips": 33491431, "Passenger Paid Fares": 5518654.0, - "Average Fare": 0.35384726753344914 + "Average Fare": 0.16477808905806385, + "Average Passengers": 3.6854040798642513 }, { "NTD ID": 80001, @@ -10585,25 +11232,27 @@ "UACE Code": "78499", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 196.81099612373148, - "All Fuels (Wh/pkm)": 196.81099612373148, - "Unlinked Passenger Trips": 731900, + "Gasoline (Wh/pkm)": 328.46007376388826, + "All Fuels (Wh/pkm)": 328.46007376388826, + "Unlinked Passenger Trips": 1765023, "Passenger Paid Fares": 2038372.0, - "Average Fare": 2.785041672359612 + "Average Fare": 1.1548699365390707, + "Average Passengers": 5.033415841402656 }, { "NTD ID": 80002, "Mode": "DR", "UACE Code": "82252", - "Gasoline (%)": 49.67446482769734, - "Diesel (%)": 50.32553517230265, + "Gasoline (%)": 48.89944328072317, + "Diesel (%)": 51.100556719276824, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2666.9425298046754, - "Diesel (Wh/pkm)": 4523.049606624274, - "All Fuels (Wh/pkm)": 3601.03834958512, - "Unlinked Passenger Trips": 55583, + "Gasoline (Wh/pkm)": 5300.090070926535, + "Diesel (Wh/pkm)": 8539.732076215594, + "All Fuels (Wh/pkm)": 6955.565171340788, + "Unlinked Passenger Trips": 110540, "Passenger Paid Fares": 153109.0, - "Average Fare": 2.754601226993865 + "Average Fare": 1.3851004161389542, + "Average Passengers": 0.8545316415507251 }, { "NTD ID": 80002, @@ -10611,11 +11260,12 @@ "UACE Code": "82252", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1581.7228054156787, - "All Fuels (Wh/pkm)": 1581.7228054156787, - "Unlinked Passenger Trips": 385565, + "Diesel (Wh/pkm)": 2743.214370197717, + "All Fuels (Wh/pkm)": 2743.214370197717, + "Unlinked Passenger Trips": 885278, "Passenger Paid Fares": 212611.0, - "Average Fare": 0.551427126424857 + "Average Fare": 0.24016297705353573, + "Average Passengers": 3.13232128221296 }, { "NTD ID": 80003, @@ -10623,25 +11273,27 @@ "UACE Code": "29089", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3758.1100688449073, - "All Fuels (Wh/pkm)": 3758.1100688449073, - "Unlinked Passenger Trips": 55371, + "Gasoline (Wh/pkm)": 7469.2515772431625, + "All Fuels (Wh/pkm)": 7469.2515772431625, + "Unlinked Passenger Trips": 112916, "Passenger Paid Fares": 158407.0, - "Average Fare": 2.8608296761842844 + "Average Fare": 1.4028747033192817, + "Average Passengers": 0.7639376619892398 }, { "NTD ID": 80003, "Mode": "MB", "UACE Code": "29089", - "Gasoline (%)": 3.5077854768366072, - "Diesel (%)": 96.49221452316338, + "Gasoline (%)": 2.7153656737153753, + "Diesel (%)": 97.28463432628462, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 739.4720653414031, - "Diesel (Wh/pkm)": 1244.4696506429968, - "All Fuels (Wh/pkm)": 1226.7554186874117, - "Unlinked Passenger Trips": 834392, + "Gasoline (Wh/pkm)": 2086.280655286893, + "Diesel (Wh/pkm)": 2708.3167045787704, + "All Fuels (Wh/pkm)": 2691.426151218164, + "Unlinked Passenger Trips": 1694050, "Passenger Paid Fares": 433601.0, - "Average Fare": 0.5196610226368421 + "Average Fare": 0.255955255157758, + "Average Passengers": 3.926393172466958 }, { "NTD ID": 80004, @@ -10649,11 +11301,12 @@ "UACE Code": "07705", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1939.7216509656791, - "All Fuels (Wh/pkm)": 1939.7216509656791, - "Unlinked Passenger Trips": 35485, + "Gasoline (Wh/pkm)": 5375.172360101457, + "All Fuels (Wh/pkm)": 5375.172360101457, + "Unlinked Passenger Trips": 77508, "Passenger Paid Fares": 63339.0, - "Average Fare": 1.7849513879103847 + "Average Fare": 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194.16536724948898, - "Unlinked Passenger Trips": 9612, + "Gasoline (Wh/pkm)": 903.3954129100483, + "All Fuels (Wh/pkm)": 903.3954129100483, + "Unlinked Passenger Trips": 17393, "Passenger Paid Fares": 86963.0, - "Average Fare": 9.047336662505202 + "Average Fare": 4.999885011211407, + "Average Passengers": 3.7529600203214746 }, { "NTD ID": 80006, @@ -10711,11 +11368,12 @@ "UACE Code": "23527", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 42.06277617921584, - "All Fuels (Wh/pkm)": 42.06277617921584, - "Unlinked Passenger Trips": 7935811, + "Electric (Wh/pkm)": 78.89785663146041, + "All Fuels (Wh/pkm)": 78.89785663146041, + "Unlinked Passenger Trips": 16514082, "Passenger Paid Fares": 13987869.0, - "Average Fare": 1.7626262772639116 + "Average Fare": 0.8470267375443576, + "Average Passengers": 51.232491054870216 }, { "NTD ID": 80006, @@ -10723,11 +11381,12 @@ "UACE Code": "23527", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3437.6443129713066, - "All Fuels (Wh/pkm)": 3437.6443129713066, - "Unlinked Passenger Trips": 737344, + "Gasoline (Wh/pkm)": 6365.598582979188, + "All Fuels (Wh/pkm)": 6365.598582979188, + "Unlinked Passenger Trips": 1514105, "Passenger Paid Fares": 2370188.0, - "Average Fare": 3.2144941845325925 + "Average Fare": 1.5654053054444705, + "Average Passengers": 0.773286848685769 }, { "NTD ID": 80006, @@ -10735,25 +11394,27 @@ "UACE Code": "23527", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 156.7818384204347, - "All Fuels (Wh/pkm)": 156.7818384204347, - "Unlinked Passenger Trips": 13604641, + "Electric (Wh/pkm)": 372.80711453943644, + "All Fuels (Wh/pkm)": 372.80711453943644, + "Unlinked Passenger Trips": 26344999, "Passenger Paid Fares": 11588343.0, - "Average Fare": 0.8517933696302608 + "Average Fare": 0.4398687963510646, + "Average Passengers": 23.97153042104497 }, { "NTD ID": 80006, "Mode": "MB", "UACE Code": "23527", - "Diesel (%)": 98.9459882364219, - "Electric (%)": 1.054011763578096, + "Diesel (%)": 98.74996048356046, + "Electric (%)": 1.2500395164395324, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 857.3334667571801, - "Electric (Wh/pkm)": 399.56570999848674, - "All Fuels (Wh/pkm)": 852.508540751076, - "Unlinked Passenger Trips": 39006884, + "Diesel (Wh/pkm)": 1802.9615635602872, + "Electric (Wh/pkm)": 718.9870427712599, + "All Fuels (Wh/pkm)": 1789.4114537022883, + "Unlinked Passenger Trips": 81445389, "Passenger Paid Fares": 25341575.0, - "Average Fare": 0.6496692993985369 + "Average Fare": 0.31114806266073575, + "Average Passengers": 6.056732334175943 }, { "NTD ID": 80007, @@ -10761,11 +11422,12 @@ "UACE Code": "72613", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3423.8926312905087, - "All Fuels (Wh/pkm)": 3423.8926312905087, - "Unlinked Passenger Trips": 45549, + "Gasoline (Wh/pkm)": 6438.598328982061, + "All Fuels (Wh/pkm)": 6438.598328982061, + "Unlinked Passenger Trips": 96628, "Passenger Paid Fares": 13715.0, - "Average Fare": 0.30110430525368287 + "Average Fare": 0.1419360847787391, + "Average Passengers": 0.7756510266097707 }, { "NTD ID": 80007, @@ -10773,11 +11435,12 @@ "UACE Code": "72613", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1536.043885114086, - "All Fuels (Wh/pkm)": 1536.043885114086, - "Unlinked Passenger Trips": 497528, + "Diesel (Wh/pkm)": 2977.2317387514145, + "All Fuels (Wh/pkm)": 2977.2317387514145, + "Unlinked Passenger Trips": 1068218, "Passenger Paid Fares": 172956.0, - "Average Fare": 0.34763068611213843 + "Average Fare": 0.16191077102239432, + "Average Passengers": 3.971851762805003 }, { "NTD ID": 80008, @@ -10785,77 +11448,81 @@ "UACE Code": "34219", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2457.7355432143895, - "All Fuels (Wh/pkm)": 2457.7355432143895, - "Unlinked Passenger Trips": 54643, + "Gasoline (Wh/pkm)": 4582.57680960196, + "All Fuels (Wh/pkm)": 4582.57680960196, + "Unlinked Passenger Trips": 111077, 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302.8243100232033, - "All Fuels (Wh/pkm)": 249.24730263377785, - "Unlinked Passenger Trips": 1341519 + "LPG (Wh/pkm)": 1555.6605287212924, + "CNG (Wh/pkm)": 456.1568867383649, + "Electric (Wh/pkm)": 462.08525903990477, + "All Fuels (Wh/pkm)": 484.45644473478444, + "Unlinked Passenger Trips": 2942383, + "Average Passengers": 4.436937791356347 }, { "NTD ID": 80011, @@ -10863,9 +11530,10 @@ "UACE Code": "30628", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 248.06902736993408, - "All Fuels (Wh/pkm)": 248.06902736993408, - "Unlinked Passenger Trips": 403214 + "CNG (Wh/pkm)": 654.31807682196, + "All Fuels (Wh/pkm)": 654.31807682196, + "Unlinked Passenger Trips": 854277, + "Average Passengers": 7.844709693082604 }, { "NTD ID": 80012, @@ -10873,11 +11541,12 @@ "UACE Code": "34759", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2554.837494950895, - "All Fuels (Wh/pkm)": 2554.837494950895, - "Unlinked Passenger Trips": 46675, + "Gasoline (Wh/pkm)": 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"Electric (%)": 67.84864309562538, + "Diesel (%)": 20.14837272946795, + "Electric (%)": 79.85162727053205, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 510.65684856418846, - "All Fuels (Wh/pkm)": 1745.6097563637443, - "Unlinked Passenger Trips": 81853 + "Diesel (Wh/pkm)": 5735.732407279318, + "Electric (Wh/pkm)": 627.1081683301702, + "All Fuels (Wh/pkm)": 1656.41282134159, + "Unlinked Passenger Trips": 201810, + "Average Passengers": 3.0904115992488537 }, { "NTD ID": 80109, @@ -10955,67 +11632,70 @@ "UACE Code": "23527", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 295.77359231451095, - "All Fuels (Wh/pkm)": 295.77359231451095, - "Unlinked Passenger Trips": 94026, + "Gasoline (Wh/pkm)": 481.1313931073915, + "All Fuels (Wh/pkm)": 481.1313931073915, + "Unlinked Passenger Trips": 186861, "Passenger Paid Fares": 401002.0, - "Average Fare": 4.264799098121796 + "Average Fare": 2.14599087021904, + "Average Passengers": 3.9923101090392503 }, { "NTD ID": 80285, "Mode": 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"Unlinked Passenger Trips": 36774619, + "Electric (Wh/pkm)": 113.7667063719305, + "All Fuels (Wh/pkm)": 113.7667063719305, + "Unlinked Passenger Trips": 85817941, "Passenger Paid Fares": 130240843.0, - "Average Fare": 3.541595984991714 + "Average Fare": 1.5176412004571398, + "Average Passengers": 64.72196606925476 }, { "NTD ID": 90003, @@ -11085,11 +11757,12 @@ "UACE Code": "78904", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 2859.9355962834325, - "All Fuels (Wh/pkm)": 2859.9355962834325, - "Unlinked Passenger Trips": 377608, + "Electric (Wh/pkm)": 5375.384821680098, + "All Fuels (Wh/pkm)": 5375.384821680098, + "Unlinked Passenger Trips": 834974, "Passenger Paid Fares": 2123705.0, - "Average Fare": 5.624099595347556 + "Average Fare": 2.543438478323876, + "Average Passengers": 4.929277233245677 }, { "NTD ID": 90003, @@ -11097,53 +11770,57 @@ "UACE Code": "78904", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 282.5715036355661, - "All Fuels 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"Average Passengers": 0.6885588902857459 }, { "NTD ID": 90004, "Mode": "MB", "UACE Code": "04681", - "CNG (%)": 98.39369881174811, - "Hydrogen (%)": 1.606301188251887, + "CNG (%)": 94.5991982382917, + "Hydrogen (%)": 5.400801761708288, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 631.2671425774354, - "Hydrogen (Wh/pkm)": 1035.3832906554394, - "All Fuels (Wh/pkm)": 637.7584650659301, - "Unlinked Passenger Trips": 3094249, + "CNG (Wh/pkm)": 1184.3730403641725, + "Hydrogen (Wh/pkm)": 791.1814607829718, + "All Fuels (Wh/pkm)": 1163.1375426072625, + "Unlinked Passenger Trips": 6224927, "Passenger Paid Fares": 2227910.0, - "Average Fare": 0.7200163916995691 + "Average Fare": 0.35790138583151254, + "Average Passengers": 3.719171017478151 }, { "NTD ID": 90006, "Mode": "CB", "UACE Code": "79336", - "Diesel (%)": 62.98953991509988, - "CNG (%)": 37.010460084900124, + "Diesel (%)": 57.37839229314561, + "CNG (%)": 42.62160770685439, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 409.9806954843643, - "CNG (Wh/pkm)": 129.9794841778051, - "All Fuels (Wh/pkm)": 306.3509589365134, - "Unlinked Passenger Trips": 115354, + "Diesel (Wh/pkm)": 785.5879150236597, + "CNG (Wh/pkm)": 227.450682994284, + "All Fuels (Wh/pkm)": 547.7008535222035, + "Unlinked Passenger Trips": 250095, "Passenger Paid Fares": 701132.0, - "Average Fare": 6.078090053227457 + "Average Fare": 2.8034626841800114, + "Average Passengers": 9.512025835920493 }, { "NTD ID": 90006, @@ -11151,27 +11828,29 @@ "UACE Code": "79336", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2730.2597577121223, - "All Fuels (Wh/pkm)": 2730.2597577121223, - "Unlinked Passenger Trips": 62608, + "Gasoline (Wh/pkm)": 4843.9978713928695, + "All Fuels (Wh/pkm)": 4843.9978713928695, + "Unlinked Passenger Trips": 136832, "Passenger Paid Fares": 210547.0, - "Average Fare": 3.362940838231536 + "Average Fare": 1.5387263213283442, + "Average Passengers": 0.914625408961326 }, { "NTD ID": 90006, "Mode": "MB", "UACE Code": "79336", - "Diesel 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"Unlinked Passenger Trips": 21755, + "CNG (Wh/pkm)": 271.05842496831235, + "All Fuels (Wh/pkm)": 271.05842496831235, + "Unlinked Passenger Trips": 48222, "Passenger Paid Fares": 13477.0, - "Average Fare": 0.6194897724660997 + "Average Fare": 0.279478246443532, + "Average Passengers": 3.4440783518592277 }, { "NTD ID": 90008, "Mode": "MB", "UACE Code": "51445", - "CNG (%)": 97.28606308940029, - "Electric (%)": 2.713936910599713, + "CNG (%)": 93.40152009715143, + "Electric (%)": 6.598479902848559, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 362.18953317629854, - "Electric (Wh/pkm)": 256.4051172603745, - "All Fuels (Wh/pkm)": 359.3186108670939, - "Unlinked Passenger Trips": 6312168, + "CNG (Wh/pkm)": 649.502939848838, + "Electric (Wh/pkm)": 362.04895494193113, + "All Fuels (Wh/pkm)": 630.5353464248185, + "Unlinked Passenger Trips": 14053426, "Passenger Paid Fares": 4171404.0, - "Average Fare": 0.6608512320964841 + "Average Fare": 0.29682470310086667, + "Average Passengers": 5.582830880071519 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(Wh/pkm)": 5807.680372865976, + "All Fuels (Wh/pkm)": 5807.680372865976, + "Unlinked Passenger Trips": 599389, "Passenger Paid Fares": 1036071.0, - "Average Fare": 3.768147515047917 + "Average Fare": 1.7285452352312105, + "Average Passengers": 0.7553060487533239 }, { "NTD ID": 90013, @@ -11297,28 +11983,31 @@ "UACE Code": "79039", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 599.2706697639484, - "All Fuels (Wh/pkm)": 599.2706697639484, - "Unlinked Passenger Trips": 2301457, + "Electric (Wh/pkm)": 572.5393818669844, + "All Fuels (Wh/pkm)": 572.5393818669844, + "Unlinked Passenger Trips": 6449264, "Passenger Paid Fares": 2804855.0, - "Average Fare": 1.2187301348667388 + "Average Fare": 0.43491086734858425, + "Average Passengers": 9.743649363074773 }, { "NTD ID": 90013, "Mode": "MB", "UACE Code": "79039", - "Diesel (%)": 97.18211942355516, - "LPG (%)": 1.3349132636246521, - "Electric (%)": 0.14805404919555384, - "Other (%)": 1.3349132636246521, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1167.41591986936, - "LPG (Wh/pkm)": 734.573403575591, - "Electric (Wh/pkm)": 499.16122101233265, - "All Fuels (Wh/pkm)": 1145.0644796121487, - "Unlinked Passenger Trips": 15181163, + "Gasoline (%)": 0.3405356598461242, + "Diesel (%)": 98.27780547353424, + "LPG (%)": 0.9459022530162872, + "Electric (%)": 0.4357566136033412, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 170.70527470873637, + "Diesel (Wh/pkm)": 1980.1136321689962, + "LPG (Wh/pkm)": 1794.5005459591218, + "Electric (Wh/pkm)": 381.5873565639676, + "All Fuels (Wh/pkm)": 1965.2305491491193, + "Unlinked Passenger Trips": 34562861, "Passenger Paid Fares": 18080143.0, - "Average Fare": 1.1909590194110953 + "Average Fare": 0.5231089810533914, + "Average Passengers": 5.079922715961812 }, { "NTD ID": 90014, @@ -11326,11 +12015,12 @@ "UACE Code": "78904", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 193.24239104817005, - "All Fuels (Wh/pkm)": 193.24239104817005, - "Unlinked Passenger 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"Average Passengers": 0.77179355878563 }, { "NTD ID": 90016, @@ -11464,11 +12164,12 @@ "UACE Code": "78904", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 3828.0379609449847, - "All Fuels (Wh/pkm)": 3828.0379609449847, - "Unlinked Passenger Trips": 690362, + "Diesel (Wh/pkm)": 6108.13463378514, + "All Fuels (Wh/pkm)": 6108.13463378514, + "Unlinked Passenger Trips": 1846044, "Passenger Paid Fares": 6694183.0, - "Average Fare": 9.696627276704106 + "Average Fare": 3.626231552444037, + "Average Passengers": 52.81140997855417 }, { "NTD ID": 90016, @@ -11476,11 +12177,12 @@ "UACE Code": "78904", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 705.0639629754759, - "All Fuels (Wh/pkm)": 705.0639629754759, - "Unlinked Passenger Trips": 1037926, + "Diesel (Wh/pkm)": 1135.9228989778023, + "All Fuels (Wh/pkm)": 1135.9228989778023, + "Unlinked Passenger Trips": 2346324, "Passenger Paid Fares": 7195117.0, - "Average Fare": 6.932206149571357 + "Average Fare": 3.066548780134372, + "Average Passengers": 7.6818423440494215 }, { "NTD ID": 90017, @@ -11488,41 +12190,44 @@ "UACE Code": "79498", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5416.102299913206, - "All Fuels (Wh/pkm)": 5416.102299913206, - "Unlinked Passenger Trips": 24756, + "Gasoline (Wh/pkm)": 8968.45849442534, + "All Fuels (Wh/pkm)": 8968.45849442534, + "Unlinked Passenger Trips": 50771, "Passenger Paid Fares": 70779.0, - "Average Fare": 2.8590644692195832 + "Average Fare": 1.3940832364932738, + "Average Passengers": 0.7018843420082214 }, { "NTD ID": 90017, "Mode": "MB", "UACE Code": "79498", - "Gasoline (%)": 2.2888201010858262, - "Diesel (%)": 97.71117989891418, + "Diesel (%)": 95.87082089980132, + "Electric (%)": 4.129179100198687, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 996.6531662275294, - "Diesel (Wh/pkm)": 1461.7624546507, - "All Fuels (Wh/pkm)": 1451.1169397652536, - "Unlinked Passenger Trips": 1033178, + "Diesel (Wh/pkm)": 2929.894297767097, + "Electric (Wh/pkm)": 609.6541690370027, + "All Fuels (Wh/pkm)": 2879.711392201972, + "Unlinked Passenger Trips": 2326909, "Passenger Paid Fares": 566363.0, - "Average Fare": 0.548175628981647 + "Average Fare": 0.2433971418736186, + "Average Passengers": 3.5011629282138212 }, { "NTD ID": 90019, "Mode": "DR", "UACE Code": "77068", - "Gasoline (%)": 79.2355024947314, - "CNG (%)": 19.478527800286642, - "Electric (%)": 1.285969704981941, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4999.7305495820465, - "CNG (Wh/pkm)": 593.9296948244206, - "Electric (Wh/pkm)": 847.7193756491904, - "All Fuels (Wh/pkm)": 4088.1517994185733, - "Unlinked Passenger Trips": 412664, + "Gasoline (%)": 87.34333802173249, + "CNG (%)": 12.03405883724341, + "Electric (%)": 0.6226031410240938, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 8305.38075622706, + "CNG (Wh/pkm)": 1937.5286450242909, + "Electric (Wh/pkm)": 2504.9172573854876, + "All Fuels (Wh/pkm)": 7502.955818558529, + "Unlinked Passenger Trips": 906302, 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806.4693221973386, - "Electric (Wh/pkm)": 332.66888154349544, - "All Fuels (Wh/pkm)": 808.864074385302, - "Unlinked Passenger Trips": 6275461, + "Gasoline (%)": 0.6196073656429659, + "Diesel (%)": 1.0588946797767462, + "CNG (%)": 96.84649556792169, + "Electric (%)": 1.4750023866585904, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2389.8061399899702, + "Diesel (Wh/pkm)": 2920.3239390117387, + "CNG (Wh/pkm)": 1519.075314560879, + "Electric (Wh/pkm)": 684.7004275307667, + "All Fuels (Wh/pkm)": 1527.0011245275423, + "Unlinked Passenger Trips": 13990571, "Passenger Paid Fares": 3942987.0, - "Average Fare": 0.6283183020339064 + "Average Fare": 0.2818317422498338, + "Average Passengers": 2.8597088925489986 }, { "NTD ID": 90020, "Mode": "MB", "UACE Code": "79282", - "Diesel (%)": 96.38431235445788, - "Electric (%)": 3.615687645542119, + "Diesel (%)": 95.7417494964003, + "Electric (%)": 4.258250503599688, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 767.896108046525, - "Electric (Wh/pkm)": 155.80804649566085, - "All Fuels (Wh/pkm)": 745.7649156251922, - "Unlinked Passenger Trips": 4076921, + "Diesel (Wh/pkm)": 1556.0119573318452, + "Electric (Wh/pkm)": 287.2793643741463, + "All Fuels (Wh/pkm)": 1501.9861453028905, + "Unlinked Passenger Trips": 8611397, "Passenger Paid Fares": 2849170.0, - "Average Fare": 0.6988533748875684 + "Average Fare": 0.33086037027441656, + "Average Passengers": 6.9125112717495405 }, { "NTD ID": 90022, "Mode": "DR", "UACE Code": "51445", - "Unlinked Passenger Trips": 9966, + "Unlinked Passenger Trips": 27046, "Passenger Paid Fares": 9741.0, - "Average Fare": 0.9774232390126429 + "Average Fare": 0.36016416475634105, + "Average Passengers": 0.5138791532314594 }, { "NTD ID": 90022, "Mode": "MB", "UACE Code": "51445", - "Gasoline (%)": 13.39265087751826, - "CNG (%)": 83.64477688003862, - "Electric (%)": 2.9625722424431107, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2015.8975304043313, - "CNG (Wh/pkm)": 555.1471656873756, - "Electric (Wh/pkm)": 418.8860586748636, - "All Fuels (Wh/pkm)": 746.7435284923936, - "Unlinked Passenger Trips": 789462, + "CNG (%)": 89.68053912238283, + "Electric (%)": 10.234327796657015, + "All Fuels (%)": 100, + "CNG (Wh/pkm)": 988.499808507485, + "Electric (Wh/pkm)": 490.59351038649754, + "All Fuels (Wh/pkm)": 1213.1531965267757, + "Unlinked Passenger Trips": 1812148, "Passenger Paid Fares": 208327.0, - "Average Fare": 0.26388477216129463 + "Average Fare": 0.1149613607718575, + "Average Passengers": 3.379737725655242 }, { "NTD ID": 90023, "Mode": "DR", "UACE Code": "51445", - "Gasoline (%)": 4.945197845067806, - "CNG (%)": 95.05480215493219, + "CNG (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3592.6907643905174, - "CNG (Wh/pkm)": 941.5225001661589, - "All Fuels (Wh/pkm)": 1072.6280160377034, - "Unlinked Passenger Trips": 20578, + "CNG (Wh/pkm)": 1858.665837005084, + "All Fuels (Wh/pkm)": 2271.840068498805, + "Unlinked Passenger Trips": 43090, "Passenger Paid Fares": 34994.0, - "Average 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ID": 90024, "Mode": "DR", "UACE Code": "51445", - "Gasoline (%)": 67.87429124430824, - "CNG (%)": 32.125708755691754, + "Gasoline (%)": 63.38656699512968, + "CNG (%)": 36.613433004870316, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3246.8364272231856, - "CNG (Wh/pkm)": 1000.1394344495159, - "All Fuels (Wh/pkm)": 2525.0690947018306, - "Unlinked Passenger Trips": 24653, + "Gasoline (Wh/pkm)": 5811.793653463387, + "CNG (Wh/pkm)": 1631.8101975308844, + "All Fuels (Wh/pkm)": 4281.358211210877, + "Unlinked Passenger Trips": 52458, "Passenger Paid Fares": 19606.0, - "Average Fare": 0.7952784650955259 + "Average Fare": 0.3737466163406916, + "Average Passengers": 1.2133626958075372 }, { "NTD ID": 90026, @@ -11642,26 +12351,25 @@ "UACE Code": "78661", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 301.6294938107302, - "All Fuels (Wh/pkm)": 301.6294938107302, - "Unlinked Passenger Trips": 79098, + "CNG (Wh/pkm)": 502.5051534342232, + "All Fuels (Wh/pkm)": 502.5051534342232, + "Unlinked Passenger Trips": 181162, "Passenger Paid Fares": 164107.0, - "Average Fare": 2.0747300816708387 + "Average Fare": 0.9058577405857741, + "Average Passengers": 4.63631466372587 }, { "NTD ID": 90026, "Mode": "DR", "UACE Code": "78661", - "Gasoline (%)": 2.91806544575634, - "LPG (%)": 48.54096727712183, - "Other (%)": 48.54096727712183, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 716.4718860238145, - "LPG (Wh/pkm)": 1314.0406053092813, - "All Fuels (Wh/pkm)": 658.7551387658914, - "Unlinked Passenger Trips": 193166, + "LPG (%)": 99.56771497480071, + "All Fuels (%)": 100, + "LPG (Wh/pkm)": 2547.1619194936425, + "All Fuels (Wh/pkm)": 2602.4877367349623, + "Unlinked Passenger Trips": 442828, "Passenger Paid Fares": 576939.0, - "Average Fare": 2.986752327014071 + "Average Fare": 1.3028512198867281, + "Average Passengers": 1.1780859534178625 }, { "NTD ID": 90026, @@ -11669,53 +12377,57 @@ "UACE Code": "78661", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 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"Average Fare": 0.37327815265691877, + "Average Passengers": 5.436850615016344 }, { "NTD ID": 90027, "Mode": "DR", "UACE Code": "31843", - "Gasoline (%)": 92.37556972058921, - "CNG (%)": 7.624430279410793, + "Gasoline (%)": 93.51408770791944, + "CNG (%)": 6.485912292080548, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3043.5552879340244, - "CNG (Wh/pkm)": 646.9052823113317, - "All Fuels (Wh/pkm)": 2860.824379213827, - "Unlinked Passenger Trips": 134724, + "Gasoline (Wh/pkm)": 6159.568679903522, + "CNG (Wh/pkm)": 952.4759434526306, + "All Fuels (Wh/pkm)": 5821.84121205002, + "Unlinked Passenger Trips": 274267, "Passenger Paid Fares": 144834.0, - "Average Fare": 1.0750423087200498 + "Average Fare": 0.5280766552301225, + "Average Passengers": 1.0029400460982472 }, { "NTD ID": 90027, "Mode": "MB", "UACE Code": "31843", - "CNG (%)": 99.28807424942075, - "Electric (%)": 0.7119257505792607, + "CNG (%)": 97.46890733829012, + "Electric (%)": 2.531092661709875, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 419.4623040405553, - "Electric (Wh/pkm)": 196.95970836836855, - "All Fuels (Wh/pkm)": 417.8782507662577, - "Unlinked Passenger Trips": 6985740, + "CNG (Wh/pkm)": 822.7589963738405, + "Electric (Wh/pkm)": 323.3446340946672, + "All Fuels (Wh/pkm)": 810.1183560986673, + "Unlinked Passenger Trips": 15170251, "Passenger Paid Fares": 2617375.0, - "Average Fare": 0.37467397870519087 + "Average Fare": 0.1725334010623819, + "Average Passengers": 4.154754821212102 }, { "NTD ID": 90029, @@ -11723,11 +12435,12 @@ "UACE Code": "75340", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 398.6229912427092, - "All Fuels (Wh/pkm)": 407.0077056127813, - "Unlinked Passenger Trips": 126865, + "CNG (Wh/pkm)": 1173.0777538764812, + "All Fuels (Wh/pkm)": 1187.0215360518037, + "Unlinked Passenger Trips": 270279, "Passenger Paid Fares": 192665.0, - "Average Fare": 1.5186615693847791 + "Average Fare": 0.7128374753495462, + "Average Passengers": 1.0454076089338213 }, { "NTD ID": 90029, @@ -11735,19 +12448,25 @@ "UACE Code": "75340", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 402.27507915774663, - "All Fuels (Wh/pkm)": 402.27507915774663, - "Unlinked Passenger Trips": 4974048, + "CNG (Wh/pkm)": 704.1210461304503, + "All Fuels (Wh/pkm)": 704.1210461304503, + "Unlinked Passenger Trips": 10932236, "Passenger Paid Fares": 4287001.0, - "Average Fare": 0.8618736690920554 + "Average Fare": 0.39214310777776845, + "Average Passengers": 4.212983175500257 }, { "NTD ID": 90030, "Mode": "CR", "UACE Code": "78661", - "Unlinked Passenger Trips": 588409, + "Diesel (%)": 100.0, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1965.081213856421, + "All Fuels (Wh/pkm)": 1965.081213856421, + "Unlinked Passenger Trips": 1401616, "Passenger Paid Fares": 2414292.0, - "Average Fare": 4.103084759070646 + "Average Fare": 1.7225060216207577, + "Average Passengers": 47.08595823223314 }, { "NTD ID": 90030, @@ -11755,27 +12474,27 @@ "UACE Code": "78661", "Gasoline (%)": 100.0, "All Fuels 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686.6320722335593, + "All Fuels (Wh/pkm)": 686.6320722335593, + "Unlinked Passenger Trips": 8699855, "Passenger Paid Fares": 3142292.0, - "Average Fare": 0.8190340206376351 + "Average Fare": 0.3611890083225525, + "Average Passengers": 4.014329698183115 }, { "NTD ID": 90032, @@ -11831,27 +12554,29 @@ "UACE Code": "69184", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5430.391495438303, - "All Fuels (Wh/pkm)": 5430.391495438303, - "Unlinked Passenger Trips": 284359, + "Gasoline (Wh/pkm)": 11766.494805882216, + "All Fuels (Wh/pkm)": 11766.494805882216, + "Unlinked Passenger Trips": 581077, "Passenger Paid Fares": 502968.0, - "Average Fare": 1.7687781993888008 + "Average Fare": 0.8655789163914593, + "Average Passengers": 0.7181380289697957 }, { "NTD ID": 90032, "Mode": "MB", "UACE Code": "69184", - "Gasoline (%)": 2.122069046981503, - "Diesel (%)": 27.439226317428506, - "CNG (%)": 70.43870463559, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1602.595043156315, - "Diesel (Wh/pkm)": 2497.7001044245417, - "CNG (Wh/pkm)": 578.5365481282741, - "All Fuels (Wh/pkm)": 1126.871408087991, - "Unlinked Passenger Trips": 19717393, + "Gasoline (%)": 1.3382328733241844, + "Diesel (%)": 26.386057777016752, + "CNG (%)": 72.27570934965907, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 4335.288750179732, + "Diesel (Wh/pkm)": 4755.517576066606, + "CNG (Wh/pkm)": 989.0604462122071, + "All Fuels (Wh/pkm)": 2027.6603278223274, + "Unlinked Passenger Trips": 38945012, "Passenger Paid Fares": 11662645.0, - "Average Fare": 0.5914902137417457 + "Average Fare": 0.29946440894664506, + "Average Passengers": 2.8222537771598746 }, { "NTD ID": 90033, @@ -11859,23 +12584,25 @@ "UACE Code": "88732", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2731.3552589815454, - "All Fuels (Wh/pkm)": 2731.3552589815454, - "Unlinked Passenger Trips": 424490 + "Gasoline (Wh/pkm)": 6631.847650668256, + "All Fuels (Wh/pkm)": 6631.847650668256, + "Unlinked Passenger Trips": 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"Unlinked Passenger Trips": 1277130 + "Electric (Wh/pkm)": 1479.7355594607955, + "All Fuels (Wh/pkm)": 1479.7355594607955, + "Unlinked Passenger Trips": 2944289, + "Average Passengers": 7.096742964182438 }, { "NTD ID": 90034, "Mode": "DR", "UACE Code": "69184", - "Gasoline (%)": 94.42702459297449, - "LPG (%)": 2.7864877035127504, - "Other (%)": 2.7864877035127504, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5708.842263794173, - "LPG (Wh/pkm)": 5696.782530019098, - "All Fuels (Wh/pkm)": 5549.430033101891, - "Unlinked Passenger Trips": 38270, + "Gasoline (%)": 100.0, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 9202.490382119926, + "All Fuels (Wh/pkm)": 9333.552642310118, + "Unlinked Passenger Trips": 80778, "Passenger Paid Fares": 86712.0, - "Average Fare": 2.265795662398746 + "Average Fare": 1.0734605957067518, + "Average Passengers": 0.9052958177666012 }, { "NTD ID": 90034, "Mode": "MB", "UACE Code": "69184", - "Diesel (%)": 46.24047664576644, + "Gasoline (%)": 63.276575679782056, + "Diesel (%)": 36.72342432021795, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2680.4094252969157, - "All Fuels (Wh/pkm)": 3307.8964814963647, - "Unlinked Passenger Trips": 71924 + "Gasoline (Wh/pkm)": 6448.011222435793, + "Diesel (Wh/pkm)": 4452.4748184223445, + "All Fuels (Wh/pkm)": 5715.181921325516, + "Unlinked Passenger Trips": 146994, + "Average Passengers": 1.5678933378073014 }, { "NTD ID": 90035, "Mode": "DR", "UACE Code": "66673", - "Gasoline (%)": 30.543106545585196, - "CNG (%)": 69.15098964174489, - "Electric (%)": 0.3059038126699163, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2232.381931050815, - "CNG (Wh/pkm)": 717.2632140581644, - "Electric (Wh/pkm)": 301.66929829182243, - "All Fuels (Wh/pkm)": 1178.7562204477797, - "Unlinked Passenger Trips": 75596, + "Gasoline (%)": 37.40918964424166, + "CNG (%)": 61.74077865657836, + "Electric (%)": 0.8500316991799786, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 3718.982783135236, + "CNG (Wh/pkm)": 1270.2182542502528, + "Electric (Wh/pkm)": 575.8354495324727, + "All Fuels (Wh/pkm)": 2180.3787468480004, + "Unlinked Passenger Trips": 160491, "Passenger Paid Fares": 51366.0, - "Average Fare": 0.6794803957881369 + "Average Fare": 0.3200553302054321, + "Average Passengers": 0.8455493893193159 }, { "NTD ID": 90035, @@ -11934,11 +12664,12 @@ "UACE Code": "66673", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 573.542924317179, - "All Fuels (Wh/pkm)": 573.542924317179, - "Unlinked Passenger Trips": 2261605, + "CNG (Wh/pkm)": 910.4836481367702, + "All Fuels (Wh/pkm)": 910.4836481367702, + "Unlinked Passenger Trips": 5220039, "Passenger Paid Fares": 1823829.0, - "Average Fare": 0.8064312733655965 + "Average Fare": 0.3493899183511847, + "Average Passengers": 3.8255646175064797 }, { "NTD ID": 90036, @@ -11946,27 +12677,29 @@ "UACE Code": "51445", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3234.9094448752976, - "All Fuels (Wh/pkm)": 3234.9094448752976, - "Unlinked Passenger Trips": 835824, + "Gasoline (Wh/pkm)": 3577.246788774592, + "All Fuels (Wh/pkm)": 3577.246788774592, + "Unlinked Passenger Trips": 1867723, "Passenger Paid Fares": 2365327.0, - "Average Fare": 2.829934292386914 + "Average Fare": 1.2664228046664308, + "Average Passengers": 1.5074642667846905 }, { "NTD ID": 90036, "Mode": "MB", "UACE Code": "51445", - "CNG (%)": 98.24726471155508, - "Hydrogen (%)": 1.6909378121535517, - "Electric (%)": 0.06179747629135814, - "All Fuels (%)": 100, - "CNG (Wh/pkm)": 279.17639579711044, - "Hydrogen (Wh/pkm)": 386.2569503211247, - "Electric (Wh/pkm)": 232.37362004076107, - "All Fuels (Wh/pkm)": 280.958138448769, - "Unlinked Passenger Trips": 26680576, + "CNG (%)": 98.36837322158209, + "Hydrogen (%)": 1.2864966092270902, + "Electric (%)": 0.34513016919081957, + "All Fuels (%)": 100, + "CNG (Wh/pkm)": 611.3980225422665, + "Hydrogen (Wh/pkm)": 949.2985178575333, + "Electric (Wh/pkm)": 266.5386539625974, + "All Fuels (Wh/pkm)": 616.6081418154935, + "Unlinked Passenger Trips": 58044036, "Passenger Paid Fares": 20956161.0, - "Average Fare": 0.7854463486845261 + "Average Fare": 0.3610390049375615, + "Average Passengers": 6.006731065123689 }, { "NTD ID": 90036, @@ -11974,11 +12707,12 @@ "UACE Code": "51445", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 285.8913877084219, - "All Fuels (Wh/pkm)": 285.8913877084219, - "Unlinked Passenger Trips": 237107, + "Gasoline (Wh/pkm)": 622.9145387428053, + "All Fuels (Wh/pkm)": 622.9145387428053, + "Unlinked Passenger Trips": 516436, "Passenger Paid Fares": 1634773.0, - "Average Fare": 6.894663590699557 + "Average Fare": 3.1654900123151757, + "Average Passengers": 4.173611274258402 }, { "NTD ID": 90039, @@ -11986,41 +12720,44 @@ "UACE Code": "51445", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 2105.043860147664, - "All Fuels (Wh/pkm)": 2105.043860147664, - "Unlinked Passenger Trips": 3759, + "CNG (Wh/pkm)": 918.1128130107949, + "All Fuels 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3761.451343577639, - "Unlinked Passenger Trips": 6838, + "Gasoline (Wh/pkm)": 5877.070947894969, + "All Fuels (Wh/pkm)": 5877.070947894969, + "Unlinked Passenger Trips": 17195, "Passenger Paid Fares": 4069.0, - "Average Fare": 0.5950570342205324 + "Average Fare": 0.2366385577202675, + "Average Passengers": 0.7246167048787673 }, { "NTD ID": 90042, "Mode": "MB", "UACE Code": "51445", - "Gasoline (%)": 60.535690468757096, - "CNG (%)": 38.6020664922609, - "Electric (%)": 0.8622430389819987, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1239.0172712265073, - "CNG (Wh/pkm)": 397.6022173128016, - "Electric (Wh/pkm)": 297.09372548337427, - "All Fuels (Wh/pkm)": 906.0920024331432, - "Unlinked Passenger Trips": 1599539, + "Gasoline (%)": 60.47869322984564, + "CNG (%)": 39.22639687733627, + "Electric (%)": 0.2949098928180989, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2302.4510710567138, + "CNG (Wh/pkm)": 716.0724052026133, + "Electric (Wh/pkm)": 1259.9066073181907, + "All Fuels (Wh/pkm)": 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2.8891391195299536 }, { "NTD ID": 90078, @@ -12170,27 +12881,29 @@ "UACE Code": "19504", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5355.396390248898, - "All Fuels (Wh/pkm)": 5355.396390248898, - "Unlinked Passenger Trips": 87108, + "Gasoline (Wh/pkm)": 7137.891255608589, + "All Fuels (Wh/pkm)": 7137.891255608589, + "Unlinked Passenger Trips": 200643, "Passenger Paid Fares": 72936.0, - "Average Fare": 0.8373054139688663 + "Average Fare": 0.3635113111347019, + "Average Passengers": 0.8425556565355238 }, { "NTD ID": 90078, "Mode": "MB", "UACE Code": "19504", - "Gasoline (%)": 1.3806652366087557, - "Diesel (%)": 96.36736223563511, - "Electric (%)": 2.251972527756129, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1103.7015709209556, - "Diesel (Wh/pkm)": 1909.0817385456705, - "Electric (Wh/pkm)": 674.9207623844064, - "All Fuels (Wh/pkm)": 1870.1691684172956, - "Unlinked Passenger Trips": 1834535, + "Gasoline (%)": 2.46826402971213, + "Diesel (%)": 95.6086641942244, 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1.2499591299302464, - "CNG (%)": 79.91387083062943, - "Hydrogen (%)": 16.751380854187225, - "Electric (%)": 2.084789185253081, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 782.7214518000283, - "CNG (Wh/pkm)": 350.2754818034839, - "Hydrogen (Wh/pkm)": 487.2409373839761, - "Electric (Wh/pkm)": 314.80458409618694, - "All Fuels (Wh/pkm)": 377.88499135111806, - "Unlinked Passenger Trips": 2180106, + "Diesel (%)": 1.4189841764241207, + "CNG (%)": 81.19249908336724, + "Hydrogen (%)": 15.922862498319626, + "Electric (%)": 1.4656542418890328, + "All Fuels (%)": 100, + "Diesel (Wh/pkm)": 1325.6564815657698, + "CNG (Wh/pkm)": 713.9342174478068, + "Hydrogen (Wh/pkm)": 989.9831015579367, + "Electric (Wh/pkm)": 719.0342183875131, + "All Fuels (Wh/pkm)": 766.6440922044148, + "Unlinked Passenger Trips": 4739535, "Passenger Paid Fares": 1387346.0, - "Average Fare": 0.6363663051246132 + "Average Fare": 0.292717745517229, + "Average Passengers": 5.790480611198966 }, { "NTD ID": 90079, "Mode": "VP", "UACE 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"All Fuels (Wh/pkm)": 2866.0881806791526, - "Unlinked Passenger Trips": 15316, + "Unlinked Passenger Trips": 33543, "Passenger Paid Fares": 30954.0, - "Average Fare": 2.0210237659963437 + "Average Fare": 0.9228154905643502, + "Average Passengers": 1.4286060071431643 }, { "NTD ID": 90087, "Mode": "MB", "UACE Code": "79417", - "Gasoline (%)": 8.179764353085393, - "Diesel (%)": 91.8202356469146, + "Diesel (%)": 98.23301056453371, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3206.8640630668683, - "Diesel (Wh/pkm)": 3388.5333362316796, - "All Fuels (Wh/pkm)": 3373.6732177848344, - "Unlinked Passenger Trips": 375210, + "Diesel (Wh/pkm)": 5896.999096481329, + "All Fuels (Wh/pkm)": 6322.91288400288, + "Unlinked Passenger Trips": 812843, "Passenger Paid Fares": 570601.0, - "Average Fare": 1.5207510460808613 + "Average Fare": 0.7019818095253327, + "Average Passengers": 1.5700839435818374 }, { "NTD ID": 90088, "Mode": "CB", "UACE Code": "61057", - "Diesel (%)": 84.7341336737179, - "CNG (%)": 15.265866326282088, + "Diesel (%)": 99.37008287245914, + "Electric (%)": 0.6299171275408535, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 403.2386717792404, - "CNG (Wh/pkm)": 2.708369911602761, - "All Fuels (Wh/pkm)": 342.0942512998727, - "Unlinked Passenger Trips": 56276, + "Diesel (Wh/pkm)": 788.4709264979697, + "Electric (Wh/pkm)": 458.0009620006671, + "All Fuels (Wh/pkm)": 786.8102174751147, + "Unlinked Passenger Trips": 108884, "Passenger Paid Fares": 89353.0, - "Average Fare": 1.5877638780297108 + "Average Fare": 0.8206256199257926, + "Average Passengers": 2.424345058260081 }, { "NTD ID": 90088, "Mode": "DR", "UACE Code": "61057", - "Gasoline (%)": 63.956242521915364, - "Diesel (%)": 18.968848436012014, - "CNG (%)": 17.07490904207262, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2437.9906039408306, - "Diesel (Wh/pkm)": 434.18461062782876, - "CNG (Wh/pkm)": 721.8332343600899, - "All Fuels (Wh/pkm)": 1764.8593722428247, - "Unlinked Passenger Trips": 71821, + "Gasoline (%)": 54.05516463892644, + "Diesel (%)": 13.992591662778553, + "CNG (%)": 31.952243698294993, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 8385.0368038689, + "Diesel (Wh/pkm)": 504.2916963105801, + "CNG (Wh/pkm)": 341.3368819457032, + "All Fuels (Wh/pkm)": 4729.500872271695, + "Unlinked Passenger Trips": 146650, "Passenger Paid Fares": 144546.0, - "Average Fare": 2.012586847857869 + "Average Fare": 0.9856529151039891, + "Average Passengers": 0.6072727840935725 }, { "NTD ID": 90088, "Mode": "MB", "UACE Code": "61057", - "Unlinked Passenger Trips": 313168, + "Unlinked Passenger Trips": 673726, "Passenger Paid Fares": 268073.0, - "Average Fare": 0.8560038062637306 + "Average Fare": 0.397896177377747, + "Average Passengers": 3.5986467949148517 }, { "NTD ID": 90089, @@ -12314,57 +13028,61 @@ "UACE Code": "79498", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2769.8846432590485, - "All Fuels (Wh/pkm)": 2769.8846432590485, - "Unlinked Passenger Trips": 34179, + "Gasoline (Wh/pkm)": 5065.3994821478245, + "All Fuels (Wh/pkm)": 5065.3994821478245, + "Unlinked Passenger Trips": 71021, "Passenger Paid Fares": 114475.0, - "Average Fare": 3.3492787969220865 + "Average Fare": 1.611847200123907, + "Average Passengers": 0.895829185994516 }, { "NTD ID": 90089, "Mode": "MB", "UACE Code": "79498", - "Gasoline (%)": 6.749978097614999, - "CNG (%)": 88.5365163301936, - "Electric (%)": 4.7135055721913846, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1084.4416331511698, - "CNG (Wh/pkm)": 495.67427398995903, - "Electric (Wh/pkm)": 179.3937144769022, - "All Fuels (Wh/pkm)": 520.508039982841, - "Unlinked Passenger Trips": 474089, + "Gasoline (%)": 6.534206924642725, + "CNG (%)": 88.60856067425098, + "Electric (%)": 4.857232401106305, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1645.651186449643, + "CNG (Wh/pkm)": 742.457046441634, + "Electric (Wh/pkm)": 265.3079741949511, + "All Fuels (Wh/pkm)": 778.2973811422609, + "Unlinked Passenger Trips": 1087120, "Passenger Paid 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Passenger Trips": 253191, + "Unlinked Passenger Trips": 507517, "Passenger Paid Fares": 303645.0, - "Average Fare": 1.1992724859888384 - }, - { - "NTD ID": 90093, - "Mode": "DR", - "UACE Code": "73774", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3127.6581919290807, - "All Fuels (Wh/pkm)": 3127.6581919290807, - "Unlinked Passenger Trips": 23775, - "Passenger Paid Fares": 76173.0, - "Average Fare": 3.20391167192429 - }, - { - "NTD ID": 90093, - "Mode": "MB", - "UACE Code": "73774", - "Gasoline (%)": 11.728383364509764, - "Diesel (%)": 87.77243281727543, - "Electric (%)": 0.49918381821479524, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1698.4967366191786, - "Diesel (Wh/pkm)": 2587.5470043615933, - "Electric (Wh/pkm)": 653.802946352787, - "All Fuels (Wh/pkm)": 2473.6228432342923, - "Unlinked Passenger Trips": 256251, - "Passenger Paid Fares": 344024.0, - "Average Fare": 1.3425274437953414 + "Average Fare": 0.5982952295194053, + "Average Passengers": 1.4800735031941405 }, { "NTD ID": 90094, @@ -12458,35 +13153,51 @@ "UACE Code": "78904", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 260.93752475767593, - "All Fuels (Wh/pkm)": 260.93752475767593, - "Unlinked Passenger Trips": 848736, + "Gasoline (Wh/pkm)": 505.064188701214, + "All Fuels (Wh/pkm)": 505.064188701214, + "Unlinked Passenger Trips": 1962051, "Passenger Paid Fares": 6504406.0, - "Average Fare": 7.663638634392791 + "Average Fare": 3.3151054687161547, + "Average Passengers": 4.960143474442066 }, { "NTD ID": 90095, "Mode": "VP", "UACE Code": "78661", - "Gasoline (%)": 98.85066328564965, - "Electric (%)": 1.1493367143503563, + "Gasoline (%)": 97.48881587555023, + "Electric (%)": 2.5111841244497777, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 205.66477334006666, - "Electric (Wh/pkm)": 75.27253688878314, - "All Fuels (Wh/pkm)": 204.1661274938695, - "Unlinked Passenger Trips": 866733, + "Gasoline (Wh/pkm)": 415.490966503198, + "Electric (Wh/pkm)": 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{ "NTD ID": 90121, @@ -12494,19 +13205,21 @@ "UACE Code": "67140", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 819.21535611589, - "All Fuels (Wh/pkm)": 819.21535611589, - "Unlinked Passenger Trips": 1003883, + "Electric (Wh/pkm)": 1589.63358340079, + "All Fuels (Wh/pkm)": 1589.63358340079, + "Unlinked Passenger Trips": 2110851, "Passenger Paid Fares": 1161878.0, - "Average Fare": 1.1573838784001722 + "Average Fare": 0.550431082061216, + "Average Passengers": 2.075777366885817 }, { "NTD ID": 90131, "Mode": "MB", "UACE Code": "69184", - "CNG (%)": 45.786481659981725, - "CNG (Wh/pkm)": 3283.9842652048524, - "Unlinked Passenger Trips": 227111 + "CNG (%)": 50.79869006953264, + "CNG (Wh/pkm)": 6517.923312426481, + "Unlinked Passenger Trips": 506714, + "Average Passengers": 0.4219338674386224 }, { "NTD ID": 90134, @@ -12514,11 +13227,12 @@ "UACE Code": "78904", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1052.9146006191218, - "All Fuels (Wh/pkm)": 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(Wh/pkm)": 725.9118545185896, - "All Fuels (Wh/pkm)": 1266.4160372019553, - "Unlinked Passenger Trips": 6375964, + "CNG (Wh/pkm)": 1264.2617442698815, + "All Fuels (Wh/pkm)": 4440.1471810370995, + "Unlinked Passenger Trips": 14354289, "Passenger Paid Fares": 3277514.0, - "Average Fare": 0.5140421119065289 + "Average Fare": 0.2283299437540933, + "Average Passengers": 2.1413843175217813 }, { "NTD ID": 90136, @@ -12550,11 +13266,12 @@ "UACE Code": "69184", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 66.9177778554089, - "All Fuels (Wh/pkm)": 66.9177778554089, - "Unlinked Passenger Trips": 416353, + "Gasoline (Wh/pkm)": 310.62225104799666, + "All Fuels (Wh/pkm)": 310.62225104799666, + "Unlinked Passenger Trips": 930978, "Passenger Paid Fares": 2154880.0, - "Average Fare": 5.175608197851343 + "Average Fare": 2.314641162304587, + "Average Passengers": 5.4743897150007275 }, { "NTD ID": 90140, @@ -12562,27 +13279,31 @@ "UACE Code": "69184", "Gasoline (%)": 100.0, "All 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957.4340060158543, + "Diesel (Wh/pkm)": 1934.9545149583246, + "CNG (Wh/pkm)": 393.4346605338166, + "Electric (Wh/pkm)": 182.3007745187107, + "All Fuels (Wh/pkm)": 499.36314790215874, + "Unlinked Passenger Trips": 5013293, "Passenger Paid Fares": 97116.0, - "Average Fare": 0.0489222999062519 + "Average Fare": 0.019371698402626775, + "Average Passengers": 7.871113046934177 }, { "NTD ID": 90144, @@ -12590,68 +13311,74 @@ "UACE Code": "50533", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1967.2718858037688, - "All Fuels (Wh/pkm)": 1967.2718858037688, - "Unlinked Passenger Trips": 841343, + "Diesel (Wh/pkm)": 3376.254419982295, + "All Fuels (Wh/pkm)": 3376.254419982295, + "Unlinked Passenger Trips": 1986858, "Passenger Paid Fares": 929065.0, - "Average Fare": 1.1042642536991454 + "Average Fare": 0.4676051333311188, + "Average Passengers": 2.9555341933479937 }, { "NTD ID": 90146, "Mode": "MB", "UACE Code": "51445", - "CNG (%)": 97.76767480793839, - "Electric (%)": 2.2323251920616136, - "All Fuels (%)": 100, - "CNG (Wh/pkm)": 680.5046682437776, - "Electric (Wh/pkm)": 681.1789426329565, - "All Fuels (Wh/pkm)": 680.5197202408309, - "Unlinked Passenger Trips": 6852419, + "CNG (%)": 97.16066205247289, + "Hydrogen (%)": 1.4547645024903773, + "Electric (%)": 1.3845734450367349, + "All Fuels (%)": 100, + "CNG (Wh/pkm)": 1274.7472372061907, + "Hydrogen (Wh/pkm)": 1219.1239251115342, + "Electric (Wh/pkm)": 1651.1015225501687, + "All Fuels (Wh/pkm)": 1279.1489505008585, + "Unlinked Passenger Trips": 14717275, "Passenger Paid Fares": 7491063.0, - "Average Fare": 1.0931997882791464 + "Average Fare": 0.5089979632778486, + "Average Passengers": 2.763484909874563 }, { "NTD ID": 90147, "Mode": "CB", "UACE Code": "51445", - "CNG (%)": 100.0, + "CNG (%)": 99.43602335856173, + "Electric (%)": 0.5639766414382847, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 484.0015705366342, - "All Fuels (Wh/pkm)": 484.0015705366342, - "Unlinked Passenger Trips": 629977, + "CNG (Wh/pkm)": 891.2279813782184, + "Electric (Wh/pkm)": 63.13079838558139, + "All Fuels (Wh/pkm)": 886.5577066977314, + "Unlinked Passenger Trips": 1503153, "Passenger Paid Fares": 920712.0, - "Average Fare": 1.4615009754324364 + "Average Fare": 0.6125204819469475, + "Average Passengers": 2.4839460555416553 }, { "NTD ID": 90147, "Mode": "DR", "UACE Code": "51445", - "Gasoline (%)": 73.42723949424825, - "CNG (%)": 26.572760505751752, + "Gasoline (%)": 55.10157747041675, + "CNG (%)": 44.89842252958324, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4581.901181290828, - "CNG (Wh/pkm)": 2182.9795487628257, - "All Fuels (Wh/pkm)": 3944.441481158493, - "Unlinked Passenger Trips": 229904, + "Gasoline (Wh/pkm)": 9134.553741741574, + "CNG (Wh/pkm)": 1920.7274902356914, + "All Fuels (Wh/pkm)": 5895.659550790467, + "Unlinked Passenger Trips": 495210, "Passenger Paid Fares": 275315.0, - "Average Fare": 1.197521574222284 + "Average Fare": 0.5559560590456574, + "Average Passengers": 0.981803929733884 }, { "NTD ID": 90147, "Mode": "MB", "UACE Code": "51445", - "LPG (%)": 14.95145511138741, - "CNG (%)": 62.920606613842445, - "Electric (%)": 7.176483163382737, - "Other (%)": 14.95145511138741, - "All Fuels (%)": 100, - "LPG (Wh/pkm)": 3112.6336032384356, - "CNG (Wh/pkm)": 687.2748450219295, - "Electric (Wh/pkm)": 210.213550470729, - "All Fuels (Wh/pkm)": 912.9074576189797, - "Unlinked Passenger Trips": 12629788, + "CNG (%)": 79.06880802437333, + "Electric (%)": 13.187779350207455, + "All Fuels (%)": 100, + "CNG (Wh/pkm)": 1387.981480686754, + "Electric (Wh/pkm)": 392.289772411906, + "All Fuels (Wh/pkm)": 2081.3942288349767, + "Unlinked Passenger Trips": 26973968, "Passenger Paid Fares": 44390.0, - "Average Fare": 0.0035147066601592994 + "Average Fare": 0.0016456607348240347, + "Average Passengers": 2.8878217406870395 }, { "NTD ID": 90148, @@ -12659,51 +13386,51 @@ "UACE Code": "90541", "CNG (%)": 100.0, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 159.55800526933825, - "All Fuels (Wh/pkm)": 159.55800526933825, - "Unlinked Passenger Trips": 33287, + "CNG (Wh/pkm)": 328.52911336217073, + "All Fuels (Wh/pkm)": 328.52911336217073, + "Unlinked Passenger Trips": 72660, "Passenger Paid Fares": 339625.0, - "Average Fare": 10.202932075585064 + "Average Fare": 4.674167354803193, + "Average Passengers": 7.70203641797511 }, { "NTD ID": 90148, "Mode": "DR", "UACE Code": "90541", - "Gasoline (%)": 36.114418691201884, - "CNG (%)": 63.88558130879812, + "Gasoline (%)": 21.34449807734326, + "CNG (%)": 78.65550192265674, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 365.7334518558783, - "CNG (Wh/pkm)": 502.2662696471015, - "All Fuels (Wh/pkm)": 452.95823617908337, - "Unlinked Passenger Trips": 100488, + "Gasoline (Wh/pkm)": 1972.5149827763764, + "CNG (Wh/pkm)": 992.2590944800986, + "All Fuels (Wh/pkm)": 1201.4897937105418, + "Unlinked Passenger Trips": 217593, "Passenger Paid Fares": 216276.0, - "Average Fare": 2.1522569859087652 + "Average Fare": 0.9939474155878176, + "Average Passengers": 1.5872182799136465 }, { "NTD ID": 90148, "Mode": "MB", "UACE Code": "90541", - "CNG (%)": 92.3510754536351, - "Electric (%)": 7.648924546364901, + "CNG (%)": 89.27684699464663, + "Electric (%)": 10.72315300535336, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 1160.8504255595221, - "Electric (Wh/pkm)": 1126.0662146125273, - "All Fuels (Wh/pkm)": 1273.7266150840312, - "Unlinked Passenger Trips": 556392, + "CNG (Wh/pkm)": 2138.642902413719, + "Electric (Wh/pkm)": 1640.5765407508022, + "All Fuels (Wh/pkm)": 2184.9373510629275, + "Unlinked Passenger Trips": 1280819, "Passenger Paid Fares": 784077.0, - "Average Fare": 1.4092168830608636 + "Average Fare": 0.6121684640843086, + "Average Passengers": 1.4264934625248158 }, { "NTD ID": 90148, "Mode": "VP", "UACE Code": "90541", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 311.5249727216929, - "All Fuels (Wh/pkm)": 311.5249727216929, - "Unlinked Passenger Trips": 425912, + "Unlinked Passenger Trips": 895513, "Passenger Paid Fares": 2844735.0, - "Average Fare": 6.679161423016962 + "Average Fare": 3.176654051923311, + "Average Passengers": 4.73768463910846 }, { "NTD ID": 90151, @@ -12711,23 +13438,25 @@ "UACE Code": "51445", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1100.6813652757457, - "All Fuels (Wh/pkm)": 1100.6813652757457, - "Unlinked Passenger Trips": 3754556, + "Diesel (Wh/pkm)": 2141.6150407096384, + "All Fuels (Wh/pkm)": 2141.6150407096384, + "Unlinked Passenger Trips": 7457960, "Passenger Paid Fares": 24849645.0, - "Average Fare": 6.61853092616011 + "Average Fare": 3.331962761934899, + "Average Passengers": 59.87232100917663 }, { "NTD ID": 90154, "Mode": "DR", "UACE Code": "51445", - "Gasoline (%)": 99.3517206824459, - "Electric (%)": 0.648279317554096, + "Gasoline (%)": 95.53440339541024, + "Electric (%)": 4.4655966045897575, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2591.899200154774, - "Electric (Wh/pkm)": 613.1122665237149, - "All Fuels (Wh/pkm)": 2579.0711337255807, - "Unlinked Passenger Trips": 503122 + "Gasoline (Wh/pkm)": 3956.8069884928645, + "Electric (Wh/pkm)": 565.8232470131176, + "All Fuels (Wh/pkm)": 3805.3793336711537, + "Unlinked Passenger Trips": 1199202, + "Average Passengers": 0.7213369931893288 }, { "NTD ID": 90154, @@ -12735,11 +13464,12 @@ "UACE Code": "51445", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 71.3239652115248, - "All Fuels (Wh/pkm)": 71.3239652115248, - "Unlinked Passenger Trips": 25075130, + "Electric (Wh/pkm)": 121.07055391525145, + "All Fuels (Wh/pkm)": 121.07055391525145, + "Unlinked Passenger Trips": 51930075, "Passenger Paid Fares": 6335519.0, - "Average Fare": 0.25266146177507354 + "Average Fare": 0.12200095994469486, + "Average Passengers": 112.07035798382564 }, { "NTD ID": 90154, @@ -12747,25 +13477,27 @@ "UACE Code": "51445", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 173.87564621671524, - "All Fuels (Wh/pkm)": 173.87564621671524, - "Unlinked Passenger Trips": 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"NTD ID": 90154, @@ -12773,49 +13505,57 @@ "UACE Code": "51445", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 92.02017953975378, - "All Fuels (Wh/pkm)": 92.17104136083404, - "Unlinked Passenger Trips": 3838674, + "Electric (Wh/pkm)": 162.69991405935605, + "All Fuels (Wh/pkm)": 162.83344425687142, + "Unlinked Passenger Trips": 8210603, "Passenger Paid Fares": 976810.0, - "Average Fare": 0.2544654742757525 + "Average Fare": 0.11896933757484073, + "Average Passengers": 17.09890595222835 }, { "NTD ID": 90154, "Mode": "VP", "UACE Code": "51445", - "Gasoline (%)": 91.79604209554003, + "Gasoline (%)": 94.7408535853909, + "Electric (%)": 5.25914641460911, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 313.3595884551232, - "All Fuels (Wh/pkm)": 288.7085908612175, - "Unlinked Passenger Trips": 1164264, + "Gasoline (Wh/pkm)": 492.62519922581964, + "Electric (Wh/pkm)": 50.89919713532755, + "All Fuels (Wh/pkm)": 469.3941820244814, + "Unlinked Passenger Trips": 2715347, "Passenger Paid Fares": 9148488.0, - "Average Fare": 7.857743604543299 + "Average Fare": 3.369178230259337, + "Average Passengers": 3.7419985091716677 }, { "NTD ID": 90156, "Mode": "MB", "UACE Code": "79147", - "Diesel (%)": 99.95685960966576, + "Gasoline (%)": 1.0778768762236242, + "Diesel (%)": 98.92212312377637, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1191.1364841932361, - "All Fuels (Wh/pkm)": 1202.804549822282, - "Unlinked Passenger Trips": 468945, + "Gasoline (Wh/pkm)": 2895.1050920382972, + "Diesel (Wh/pkm)": 2200.65857875963, + "All Fuels (Wh/pkm)": 2208.1438571440017, + "Unlinked Passenger Trips": 983970, "Passenger Paid Fares": 173258.0, - "Average Fare": 0.3694633699047863 + "Average Fare": 0.17608057156214113, + "Average Passengers": 4.880579848272251 }, { "NTD ID": 90157, "Mode": "DR", "UACE Code": "51445", - "Gasoline (%)": 90.93674158572014, - "CNG (%)": 9.063258414279847, + "Gasoline (%)": 85.65001860076245, + "CNG (%)": 14.349981399237535, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 912.4819211712828, - "CNG (Wh/pkm)": 80.97550192900762, - "All Fuels (Wh/pkm)": 837.1203456640303, - "Unlinked Passenger Trips": 2927484, + "Gasoline (Wh/pkm)": 1850.8270306576512, + "CNG (Wh/pkm)": 245.4654748260618, + "All Fuels (Wh/pkm)": 1620.457946005308, + "Unlinked Passenger Trips": 6472858, "Passenger Paid Fares": 6797933.0, - "Average Fare": 2.3221076528513906 + "Average Fare": 1.0502212469360521, + "Average Passengers": 1.4320087432527386 }, { "NTD ID": 90159, @@ -12823,11 +13563,12 @@ "UACE Code": "78904", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 447.9302143126899, - "All Fuels (Wh/pkm)": 447.9302143126899, - "Unlinked Passenger Trips": 126996, + "Diesel (Wh/pkm)": 238.4027018431816, + "All Fuels (Wh/pkm)": 238.4027018431816, + "Unlinked Passenger Trips": 287592, "Passenger Paid Fares": 521239.0, - "Average Fare": 4.104373366090271 + "Average Fare": 1.8124252413140838, + "Average Passengers": 10.429438742856854 }, { "NTD ID": 90159, @@ -12835,23 +13576,21 @@ "UACE Code": "78904", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 2960.4010743855597, - "All Fuels (Wh/pkm)": 2960.4010743855597, - "Unlinked Passenger Trips": 19058, + "Gasoline (Wh/pkm)": 2941.62905720571, + "All Fuels (Wh/pkm)": 2941.62905720571, + "Unlinked Passenger Trips": 37931, "Passenger Paid Fares": 20960.0, - "Average Fare": 1.099800608668276 + "Average Fare": 0.5525823205293823, + "Average Passengers": 1.0614180116345187 }, { "NTD ID": 90159, "Mode": "MB", "UACE Code": "78904", - "Diesel (%)": 100.0, - "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2161.6672585017636, - "All Fuels (Wh/pkm)": 2161.6672585017636, - "Unlinked Passenger Trips": 387217, + "Unlinked Passenger Trips": 875668, "Passenger Paid Fares": 370044.0, - "Average Fare": 0.9556501909781854 + "Average Fare": 0.42258481524961516, + "Average Passengers": 2.4343396881466517 }, { "NTD ID": 90162, @@ -12859,25 +13598,27 @@ "UACE Code": "02683", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3208.765697158892, - "All Fuels (Wh/pkm)": 3208.765697158892, - "Unlinked Passenger Trips": 137701, + "Gasoline (Wh/pkm)": 4525.100776947441, + "All Fuels (Wh/pkm)": 4525.100776947441, + "Unlinked Passenger Trips": 356867, "Passenger Paid Fares": 556376.0, - "Average Fare": 4.040464484644265 + "Average Fare": 1.5590570156388794, + "Average Passengers": 1.0857692351437116 }, { "NTD ID": 90162, "Mode": "MB", "UACE Code": "02683", - "Diesel (%)": 98.24889349482912, - "Electric (%)": 1.7511065051708876, + "Diesel (%)": 97.2978314911705, + "Electric (%)": 2.7021685088295095, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2499.7362241255873, - "Electric (Wh/pkm)": 665.6646469396618, - "All Fuels (Wh/pkm)": 2467.6196774279942, - "Unlinked Passenger Trips": 889091, + "Diesel (Wh/pkm)": 5233.832748809546, + "Electric (Wh/pkm)": 1113.7932854794688, + "All Fuels (Wh/pkm)": 5122.502339880091, + "Unlinked Passenger Trips": 1881808, "Passenger Paid 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33556, "Passenger Paid Fares": 13413.0, - "Average Fare": 0.7682570593963 + "Average Fare": 0.3997198712599833, + "Average Passengers": 0.44465213369072754 }, { "NTD ID": 90171, "Mode": "CB", "UACE Code": "79309", - "Diesel (%)": 24.17420058898324, - "CNG (%)": 75.82579941101677, + "Diesel (%)": 14.678274377811576, + "CNG (%)": 85.32172562218841, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 1555.830637897586, - "CNG (Wh/pkm)": 239.54591012627452, - "All Fuels (Wh/pkm)": 557.7472205398634, - "Unlinked Passenger Trips": 177302, + "Diesel (Wh/pkm)": 3441.3452669671697, + "CNG (Wh/pkm)": 388.0473676609835, + "All Fuels (Wh/pkm)": 836.2188108931025, + "Unlinked Passenger Trips": 405057, "Passenger Paid Fares": 420685.0, - "Average Fare": 2.372703071595357 + "Average Fare": 1.03858222423017, + "Average Passengers": 6.180134799302855 }, { "NTD ID": 90171, "Mode": "DR", "UACE Code": "79309", - "Gasoline (%)": 19.036097347396716, - "CNG (%)": 80.96390265260328, + "Gasoline (%)": 16.325516702584675, + "CNG (%)": 83.67448329741532, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 3905.1877566434405, - "CNG (Wh/pkm)": 791.9468202834196, - "All Fuels (Wh/pkm)": 1384.586395587918, - "Unlinked Passenger Trips": 80190, + "Gasoline (Wh/pkm)": 5678.82831586373, + "CNG (Wh/pkm)": 1157.67526257547, + "All Fuels (Wh/pkm)": 1895.776859439462, + "Unlinked Passenger Trips": 216217, "Passenger Paid Fares": 80474.0, - "Average Fare": 1.003541588726774 + "Average Fare": 0.37219090080798456, + "Average Passengers": 0.9821356232554439 }, { "NTD ID": 90171, "Mode": "MB", "UACE Code": "79309", - "CNG (%)": 99.99623691509936, + "Diesel (%)": 0.012760349633579962, + "CNG (%)": 99.9872396503664, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 361.6515992279671, - "All Fuels (Wh/pkm)": 361.8242283453843, - "Unlinked Passenger Trips": 1643466, + "Diesel (Wh/pkm)": 4421.474405038737, + "CNG (Wh/pkm)": 644.8963700185868, + "All Fuels (Wh/pkm)": 645.3782745800403, + "Unlinked Passenger Trips": 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"All Fuels (Wh/pkm)": 1459.208264314689, + "Unlinked Passenger Trips": 20350, "Passenger Paid Fares": 40847.0, - "Average Fare": 4.386019542574895 + "Average Fare": 2.0072235872235873, + "Average Passengers": 2.9266964848044923 }, { "NTD ID": 90196, @@ -12997,51 +13749,53 @@ "UACE Code": "77068", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1928.1580270904235, - "All Fuels (Wh/pkm)": 1928.1580270904235, - "Unlinked Passenger Trips": 231409, + "Gasoline (Wh/pkm)": 3580.7551416061656, + "All Fuels (Wh/pkm)": 3580.7551416061656, + "Unlinked Passenger Trips": 527423, "Passenger Paid Fares": 34455.0, - "Average Fare": 0.14889222113228093 + "Average Fare": 0.06532707143981206, + "Average Passengers": 1.0589701619133467 }, { "NTD ID": 90196, "Mode": "MB", "UACE Code": "77068", - "Gasoline (%)": 7.320944568325137, - "Diesel (%)": 7.335815469337375, - "CNG (%)": 85.34323996233749, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 1402.1562313713086, - "Diesel (Wh/pkm)": 1823.590694746247, - "CNG (Wh/pkm)": 573.2438131638961, - "All Fuels (Wh/pkm)": 725.6511717803197, - "Unlinked Passenger Trips": 439160, + "Gasoline (%)": 7.49745793821734, + "Diesel (%)": 5.98123584810653, + "CNG (%)": 86.52130621367613, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 2494.610706167101, + "Diesel (Wh/pkm)": 3704.746003653593, + "CNG (Wh/pkm)": 1074.6741213827931, + "All Fuels (Wh/pkm)": 1338.4440718297076, + "Unlinked Passenger Trips": 956094, "Passenger Paid Fares": 250530.0, - "Average Fare": 0.5704754531378086 + "Average Fare": 0.26203490451775663, + "Average Passengers": 2.68593680253986 }, { "NTD ID": 90196, "Mode": "VP", "UACE Code": "77068", - "Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 586.1928914969311, - "All Fuels (Wh/pkm)": 586.1928914969311, - "Unlinked Passenger Trips": 3227, + "Unlinked Passenger Trips": 5291, "Passenger Paid Fares": 11930.0, - "Average Fare": 3.6969321351100093 + "Average Fare": 2.254772254772255, + "Average 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(Wh/pkm)": 3871.3285296375443, - "All Fuels (Wh/pkm)": 3871.3285296375443, - "Unlinked Passenger Trips": 32040, + "Gasoline (Wh/pkm)": 12239.425854842357, + "All Fuels (Wh/pkm)": 12239.425854842357, + "Unlinked Passenger Trips": 67501, "Passenger Paid Fares": 87501.0, - "Average Fare": 2.730992509363296 + "Average Fare": 1.2962919067865661, + "Average Passengers": 0.6293176202137901 }, { "NTD ID": 90206, "Mode": "MB", "UACE Code": "79147", - "Gasoline (%)": 9.392447319006884, - "Diesel (%)": 90.60755268099311, + "Gasoline (%)": 10.696862376969902, + "Diesel (%)": 89.3031376230301, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 565.6651080195622, - "Diesel (Wh/pkm)": 881.2260369030517, - "All Fuels (Wh/pkm)": 851.5871428983015, - "Unlinked Passenger Trips": 620385, + "Gasoline (Wh/pkm)": 972.9238043287444, + "Diesel (Wh/pkm)": 1699.3164114724689, + "All Fuels (Wh/pkm)": 1621.6151939698211, + "Unlinked Passenger Trips": 1324162, "Passenger Paid Fares": 798550.0, - "Average Fare": 1.2871845708713139 + "Average Fare": 0.6030606526995942, + "Average Passengers": 5.106363438183442 }, { "NTD ID": 90208, @@ -13125,11 +13885,12 @@ "UACE Code": "16318", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4431.35430160986, - "All Fuels (Wh/pkm)": 4431.35430160986, - "Unlinked Passenger Trips": 64577, + "Gasoline (Wh/pkm)": 4311.144988412128, + "All Fuels (Wh/pkm)": 4311.144988412128, + "Unlinked Passenger Trips": 131902, "Passenger Paid Fares": 95560.0, - "Average Fare": 1.4797838239620917 + "Average Fare": 0.7244772634228442, + "Average Passengers": 0.9063469254319584 }, { "NTD ID": 90208, @@ -13137,11 +13898,12 @@ "UACE Code": "16318", "Diesel (%)": 100.0, "All Fuels (%)": 100, - "Diesel (Wh/pkm)": 2212.60521151799, - "All Fuels (Wh/pkm)": 2228.1809455826774, - "Unlinked Passenger Trips": 478597, + "Diesel (Wh/pkm)": 3953.145831393622, + "All Fuels (Wh/pkm)": 4032.3480141048985, + "Unlinked Passenger Trips": 1041381, "Passenger Paid Fares": 297902.0, - "Average Fare": 0.6224485318545666 + "Average Fare": 0.28606437029290915, + "Average Passengers": 2.1897765386650483 }, { "NTD ID": 90209, @@ -13149,11 +13911,12 @@ "UACE Code": "69184", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 107.74609031793976, - "All Fuels (Wh/pkm)": 107.74609031793976, - "Unlinked Passenger Trips": 8335678, + "Electric (Wh/pkm)": 229.60417808328103, + "All Fuels (Wh/pkm)": 229.60417808328103, + "Unlinked Passenger Trips": 17834664, "Passenger Paid Fares": 4958048.0, - "Average Fare": 0.5947984075200602 + "Average Fare": 0.2780006396532057, + "Average Passengers": 43.8212146151604 }, { "NTD ID": 90209, @@ -13161,23 +13924,25 @@ "UACE Code": "69184", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 3112.9380242393513, - "All Fuels (Wh/pkm)": 3112.9380242393513, - "Unlinked Passenger Trips": 102461 + "Electric (Wh/pkm)": 1984.504720282123, + "All Fuels (Wh/pkm)": 1984.504720282123, + "Unlinked Passenger Trips": 724669, + "Average Passengers": 4.10795337625305 }, { "NTD ID": 90211, "Mode": "DR", "UACE Code": "51445", - "CNG (%)": 17.794097875325637, - "Electric (%)": 82.20590212467437, + "CNG (%)": 19.08702997305522, + "Electric (%)": 80.91297002694479, "All Fuels (%)": 100, - "CNG (Wh/pkm)": 178.46003895519894, - "Electric (Wh/pkm)": 121.99810212067547, - "All Fuels (Wh/pkm)": 132.04499442331513, - "Unlinked Passenger Trips": 216865, + "CNG (Wh/pkm)": 256.86075228675037, + "Electric (Wh/pkm)": 308.3635002539955, + "All Fuels (Wh/pkm)": 298.5331553125403, + "Unlinked Passenger Trips": 386914, "Passenger Paid Fares": 524175.0, - "Average Fare": 2.4170566942567957 + "Average Fare": 1.3547584217681448, + "Average Passengers": 1.462408458721807 }, { "NTD ID": 90211, @@ -13185,11 +13950,12 @@ "UACE Code": "51445", "Electric (%)": 100.0, "All Fuels (%)": 100, - "Electric (Wh/pkm)": 764.1273732891069, - "All Fuels (Wh/pkm)": 871.6564874082859, - "Unlinked Passenger Trips": 6970447, + "Electric (Wh/pkm)": 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"Gasoline (%)": 100.0, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1228.9006349222434, + "All Fuels (Wh/pkm)": 1228.9006349222434, + "Unlinked Passenger Trips": 59704, "Passenger Paid Fares": 172478.0, - "Average Fare": 6.914331529364602 + "Average Fare": 2.8888851668229933, + "Average Passengers": 4.67318080906665 }, { "NTD ID": 90223, "Mode": "DR", "UACE Code": "77068", - "Gasoline (%)": 1.046964572566449, - "CNG (%)": 98.95303542743356, + "Gasoline (%)": 1.3967624426098764, + "CNG (%)": 98.60323755739012, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 5110.162723501015, - "CNG (Wh/pkm)": 1100.011456209032, - "All Fuels (Wh/pkm)": 1141.9963192839036, - "Unlinked Passenger Trips": 19792 + "Gasoline (Wh/pkm)": 6674.826422507849, + "CNG (Wh/pkm)": 1417.1191191003677, + "All Fuels (Wh/pkm)": 1490.5568000567198, + "Unlinked Passenger Trips": 61273, + "Average Passengers": 0.9723355994297298 }, { "NTD ID": 90225, @@ -13305,11 +14083,12 @@ "UACE Code": "78904", "Diesel (%)": 100.0, "All 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30.413851806136016, - "Diesel (%)": 69.58614819386398, + "Gasoline (%)": 29.652965338587194, + "Diesel (%)": 70.3470346614128, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 585.0533466439516, - "Diesel (Wh/pkm)": 921.2792981487354, - "All Fuels (Wh/pkm)": 819.0200355242997, - "Unlinked Passenger Trips": 520023, + "Gasoline (Wh/pkm)": 1100.6231175045823, + "Diesel (Wh/pkm)": 1708.3902471176636, + "All Fuels (Wh/pkm)": 1528.1692708341702, + "Unlinked Passenger Trips": 1137635, "Passenger Paid Fares": 230064.0, - "Average Fare": 0.4424112010430308 + "Average Fare": 0.20223006500327434, + "Average Passengers": 5.9624722467914575 }, { "NTD ID": 90230, @@ -13343,51 +14124,57 @@ "UACE Code": "36703", "Gasoline (%)": 100.0, "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 150.01972638502875, - "All Fuels (Wh/pkm)": 150.01972638502875, - "Unlinked Passenger Trips": 3703926, + "Gasoline (Wh/pkm)": 332.51614818687244, + "All Fuels (Wh/pkm)": 332.51614818687244, + "Unlinked Passenger Trips": 7273214, 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"Gasoline (%)": 100.0, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 4743.276175292768, - "All Fuels (Wh/pkm)": 4743.276175292768, - "Unlinked Passenger Trips": 51300, + "Unlinked Passenger Trips": 97402, "Passenger Paid Fares": 226819.0, - "Average Fare": 4.421423001949318 + "Average Fare": 2.3286893492946756, + "Average Passengers": 0.7431194864071013 }, { "NTD ID": 90234, "Mode": "MB", "UACE Code": "78904", - "Gasoline (%)": 18.751353799808467, - "Diesel (%)": 80.0790572067603, - "Electric (%)": 1.16958899343123, - "All Fuels (%)": 100, - "Gasoline (Wh/pkm)": 877.0724119849142, - "Diesel (Wh/pkm)": 1143.154864503398, - "Electric (Wh/pkm)": 347.4907226036251, - "All Fuels (Wh/pkm)": 1083.9548022041108, - "Unlinked Passenger Trips": 2255862, + "Gasoline (%)": 19.382287614754805, + "Diesel (%)": 79.5905667746196, + "Electric (%)": 1.0271456106255799, + "All Fuels (%)": 100, + "Gasoline (Wh/pkm)": 1931.0070207530612, + "Diesel (Wh/pkm)": 2443.6673079197517, + "Electric (Wh/pkm)": 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